• Keine Ergebnisse gefunden

Demand side management in residential contexts - A literature review

N/A
N/A
Protected

Academic year: 2022

Aktie "Demand side management in residential contexts - A literature review"

Copied!
15
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Lec e No e in Info ma ic (LNI), Ge ell chaf fÈ Info ma ik, Bonn 15

Demand Side Managemen in Re iden ial Con e ± A Li e a e Re ie

Ca ola Ge ig1, Denni Beh en 1, Helm Le ing1, Ralf Knack ed1

Ab ac :The digi ali a ion in he ene g ec o offe a g ea po en ial o implemen Demand Side Managemen (DSM) in e iden ial b ilding and o e ploi he ¯e ibili on he ide of he con me . Wi h he po ibili o hif ene g load , i become ea ie o e ene able ene gie ef®cien l . The inc ea ing n mbe of home de ice hich can be con olled and he inc ea ing n m- be of elec ic ca a e fa o able condi ion o implemen DSM. Thi pape p o ide an o e ie of he a e of he a app oache fo DSM in e iden ial con e . The efo e, a c ed li e a e

e ie i ca ied o . The eb , 598 a icle a e anal ed and ca ego i ed ia a concep ma i . The e l of he e i ing app oache a e e amined and i i poin ed o in hich a ea f he e ea ch i needed. Thi ega d in e alia he need fo a p blicl a ailable efe ence da a e hich o ld allo cien i®c benchma king.

Ke o d :Demand Side Managemen , Demand Re pon e, Li e a Re ie , Load Shif ing, Mic o G id, Sma G id

1 Mo i a ion

Demand Side Managemen (DSM) i he concep of hif ing demand in o de o achie e a balanced ili a ion in ene g g id . Thi concep e i ince he 198 (cf. [Ge85]).

No i ha become inc ea ingl pop la d e o he in eg a ion of ene able ene gie in he ene g em . The ene g p od c ion of he e i no con ollable b depend on e e nal fac o like he ola adia ion o ind fo ce. In con a , he demand of man appliance like a di h a he i ¯e ible and can be hif ed i hin a de e mined cope. The goal of DSM i o hif load f om ime in hich he ene g demand i high o ime in

hich he demand i lo o ene g can p cha ed fo a fa o able p ice.

DSM become fea ible d e o he in eg a ion of info ma ion and comm nica ion ech- nologie in ene g g id . Wi h an inc ea ing n mbe of ma me e in e iden ial b ild- ing i i no e ic ed o ind ial con e an mo e, b a ne po en ial fo load hif ing in e iden ial con e eme ge . Thi ela i e ne a pec of DSM i ppo ed b he in- c ea ing po ibili ie of connec ing de ice and e ice in he home en i onmen . Ano he impo an d i e a e elec ic ehicle . The g o ing n mbe of pl g-in h b id elec ic e- hicle (PHEV ) and elec ic ehicle (EV ) a i e a ne po en ial fo load hif ing. I can be a med, ha e on mind a hich ho a nigh he ca i cha ged a long i i

ead fo akeoff in he mo ning.

1Uni e i of Hilde heim, In i e fo Info ma ion S em , ÈUni e i Èa pla 1, 1141 Hilde heim, ge ig@ ni-hilde heim.de denni .beh en @ ni-hilde heim.de

In Ge man he in alla ion of ma me e in ne b ilding ha been fo ced ince 1 b la , cf. 1b Ab . a EnWG

(2)

To appl DSM in e iden ial b ilding , diffe en app oache ha e been de eloped. The diffe in he ph ical f ame o k in hich DSM i embedded, in he componen hich a e op imi ed and in he op imi a ion algo i hm i elf. No all of he app oache can be embedded in o e e f ame o k and no all of he op imi a ion me hod can con ide e e componen . To ge an o e ie of he app oache , a c ed li e a e e ie i eq i ed. The eb , i ho ld be poin ed o hich me hod a e ed in hich f ame o k and hich e l can be achie ed. In doing o, i can be iden i®ed, hich he ne ep a e fo b inging DSM in e iden ial con e fo a d. The g iding e ea ch q e ion a e:

• Wha me hod a e ed fo DSM in e iden ial con e ?

• Which f ame o k i cho en fo hi ?

• Which componen a e in eg a ed?

• Wha a e he compa able e l ?

• Wha da a e a e ed fo he e al a ion?

Re ea ch De ign

To an e he ai ed e ea ch q e ion , a c ing f ame o k fo a e ie acco ding o [WW ] i ed. Thi incl de a peci®ca ion of a ea ch ing, he choice of i - able da aba e and an e al a ion me hod. The eb e follo he concep of [B 9] and con c a concep ma i in o de o ca ego i e he e l .

.1 Sea ch S ing

Fi l , he e m Demand Side Managemen i pa of he ea ch ing. I i comple- men ed b Demand Re pon e , hich i ome ime ed a non m. A he e ea ch foc i on DSM me hod in e iden ial con e , he e m e iden ial and op imi a- ion a e added. The ea ch ing i fo m la ed in Engli h a i i he e abli hed cien i®c lang age. Addi ionall , i i complemen ed b he Ge man e m .

A ® q e on Google Schola e l in mo e han a icle . Man of hem deal i h DSM in he ®eld of a e and ga o i h he ading of elec ici . A he e a icle a e no in in he cope of he e ea ch q e ion, he a e e cl ded b adding he follo ing

o d o he ea ch ing:

- a e - ock - ga - ma ke - a e - bÈo e - ma k . In he ®nal ea ch ing he ingle ing e e combined i h AND connec o :

Demand Side Managemen OR Demand Re pon e OR Demand - Side - Managemen OR La e chieb ng ) AND ( Op imi a ion OR Op imie ng )

AND ( e iden ial OR Wohn* ) - a e - a e - bÈo e - ock - ga - ma k - ma ke

(3)

. Da aba e

One da aba e i able fo he cope of hi li e a e e ie i he elec onic Lib a AISeL , hich i a cen al epo i o fo cien i®c e ea ch in he ®eld of info ma ion

em . F he mo e, mo e ea ch pape a e ackable b Google Schola4. Th , i i ed a ell. The ea ch i e ic ed o he ime ange 1 ± 15 a ma me e fo e iden ial b ilding ha e been in od ced o he ma ke abo 1 .

. E al a ion Me hod

The a icle fo nd a e e al a ed ep i e b he i le, he ab ac and ®nall b he hole a icle. In hi p oce , all a icle a e o ed o , hich canno con ib e o he e ea ch q e ion . A ele an iden i®ed a icle a e e al a ed and ca ego i ed ia concep ma i . A a e l , he diffe en app oache can be compa ed mo e ea il .

Concep Ma i

To cla if he a icle fo nd ema icall , a concep ma i i de eloped (cf. [B 9]).

The efo e, he dimen ion a e de e mined b he e ea ch q e ion . One dimen ion i he ph icalf ame o kin hich a p opo ed me hod i embedded. One dimen ion a e he op imi a ion me hod . Fo he e al a ion of he me hod , i i impo an o kno hich componen a e op imi ed and hich a mp ion a e ed fo he da aba i . The e q e - ion a e cap ed in o mo e dimen ion :componen andda a ba i . The dimen ion a e i ali ed in ®g e 1.

.1 F ame o k

The e a e diffe en f ame o k o con ol and mo i a e load hif ing in e iden ial b ild- ing . A o gh di i ion can be made be een locall con olled DSM and cen ali ed con- olled DSM. Mo eo e he e a e h b id fo m , in hich a hie a chical c e of he ma g id i ppo ed. Ano he b oad di i ion conce n he comm nica ion, hich can be one- a o bidi ec ional. Op ionall , DSM can be pe fo med a oma icall and o man- all . To de elop a ingen b clea cla i®ca ion, fo ca ego ie a e ed o co e he po ible f ame o k conce ning DSM fo e iden ial load .

The ® ca ego i cen ali ed con olled DSM, hich mean ha he defe able load of e e al ho ehold and o EV a e con olled b one cen al node. Thi ca ego incl de he cen al managemen of e e al ho ehold and o cha ging a ion p o hole ci ie . F he mo e, he cen al node can be pa of a la ge hie a chical em. The e ha o be a bidi ec ional comm nica ion be een he defe able load and he con olling node.

h p: ai el.ai ne .o g

4h p: chola .google.de

(4)

Fig. 1: Dimen ion of he Concep Ma i

The econd ca ego i di ib ed coo dina ion of DSM. In hi cena io e e al ho e- hold and o cha ging a ion comm nica e in a bi- o m l idi ec ional manne o e abli h an op imal ched ling plan o ma ch hei demand .

Ano he app oach i a onomo DSM fo one indi id al ho ehold, po ibl i h one EV. The op imi a ion p oblem onl conce n he ene g managemen of one ho ehold and one cha ging a ion. The goal a e o inc ea e he le el of cap i e e, if a ola plan i in alled, and o o lo e he ene g bill b hif ing load o mo e fa o able ime . Thi app oach can be combined i h me hod of he ne ca ego , hich p opo e a iable ene g p ice a incen i e fo load hif ing.

The la ca ego i i D namic P icing. The goal i no o con ol defe able load , b o mo i a e con me o hif hei load man all o o igge ma de ice b implemen - ing a iable elec ici p ice . In he p oce ne peak of ene g demand ha e o a oided.

The comm nica ion ne o k i olel a one- a comm nica ion medi m, h o gh hich he elec ici p ice a e comm nica ed.

. Me hod

In all ca e a ma hema ical op imi a ion p oblem ha o be ol ed. The e a e man me h- od hich can be applied. Con ide ing he comple f ame o k, he i ic me hod in he

®eld of gene ic algo i hm and ocha ic op imi a ion can be e pec ed, he ea di - ib ed algo i hm can ppo he di ib ed c e of he defe able load . Ob io l ,

(5)

anda d ol e of he ®eld of mi ed in ege linea andnonlinea p og ammingcan al o be e pec ed.

. Componen

To ge an o e ie , hich me hod can deal i h hich componen , i i di ing i hed be een fo g o p of componen . The ® one a eho ehold appliance hich ha e a ® ed load p o®le. Onl he a ing poin i ¯e ible. The e appliance co ld be di h a he , a hing machine , d e e c. The econd g o p de c ibe he mic load like hea ing and ai condi ioning (HVAC). The a e cha ac e i ed b he goal o each o o hold a ce ain empe a e. In doing o, ene g i needed in mo e o le c clic e m . The hi d g o p of con me a eelec ic ehicle o pl g±in elec ic ehicle . In he cha ging p oce a ce ain amo n of ene g i needed. The elec ical po e can a i hin ce ain bo nd . F he componen , hich can op ionall be con ide ed, a e ola plan . The ene g p od c ion of he e i no con ollable, b i can be incl ded in he con ain of

he op imi a ion p oblem.

.4 Da a Ba i

In o de o compa e he e l of he a icle , i i impo an o ha e a look in o he da a e ed fo e al a ion. Th i i e ie ed, if he a eempi icall ob ainedo a i®ciall c ea ed.

4 Re l

4.1 Cla i®ca ion in he Concep Ma i

The ke o d-ba ed ea ch lead o 598 a icle 5. A h ge amo n of a icle co ld be o ed o b eading he i le and ab ac . The e e e fo e ample a icle abo he manage- men of o age , abo DSM in comme cial and ind ial con e o abo he inf a c- e i ho an op imi a ion me hod. The emaining 55 a icle ha e been e al a ed b eading he hole a icle ca ef ll . The eb , 48 a icle ha e been iden i®ed a ele an and ha e been ca ego i ed ia he concep ma i ( . able 1). The e al a ion i done ep-

i e fo each f ame o k. A compa i on of he e al a ion done in he pape i p e en ed in he ne bchap e . I i follo ed b he concl ion and limi a ion .

5The ea ch a cond c ed be een hand 8hDecembe 14

Fo 5 a icle , i ha no been po ible o o gani e he f ll e ion. The e ha e been ca ego i ed b eading he ab ac . The a e ma ked i h a *.

(6)

F ame o k Me hod Componen Da a

Refeence cenalied decenalied aonomo DnamicP. diibed geneic ochaic linea nonlinea ohe appliance HVAC olaplan (PH)EV empiical ai®cial

[ASHK1 ] X X X X

[Al1 ] X X X X

[Al1 ] X X X X

[DA1 ] X X X X

[A 1 ] X X X X

[AYK14] X X

[Ba14] X X X X

[BF1 ] X X X X

[BLH1 ] X X X X

[BN14] X X X X

[CC11] X X X X X

[Ch1 ] X X X X

[Co14] X X X

[CYN14] X X X X X X

[D 1 ] X X X X X

[Fe1 ] X X X X X X

[FG1 ] X X X X X

[HMN1 ] X X X X

[H 14] X X X X

[Ji11] X X X X X X

[KG11] X X X X

[Li14a]* X X X

[K 1 ] X X X X

[LF14] X X X X X

[Li14b] X X X X

[LP1 ] X X X X

[LPK1 ] X X X X

[Ma14a] X X X X X

[Ma1 ] X X X

[Ma14b]* X X X X X

[Me1 ] X X X X X

[MH14] X X X X

[MHC1 ] X X X

[MM1 ] X X X X X X

[Mi11] X X X X X

[Pe1 ] X X X X X

[RZ15]* X X X X

[Sa1 ] X X X X

(7)

F ame o k Me hod Componen Da a

Refeence cenalied decenalied aonomo DnamicP. diibed geneic ochaic linea nonlinea ohe appliance HVAC olaplan (PH)EV empiical ai®cial

[SLG14] X X X X

[SX dS14] X X X X

[S 15]* X X X

[Ta1 ]* X X X X

[DVF1 ] X X X X

[Ve14] X X X

[YTN1 ] X X X

[Za1 ] X X X X

[ZBG1 ]* X X X X

[Zh1 ] X X X X X

S mme 11 1 5 9 8 9 8 1 11 4 1

Tab. 1: Concep Ma a gemen ed i h efe ence 4. E al a ion of Concep Ma i

A onomo DSM fo one Indi id al Ho ehold

A la ge p opo ion ( 5 of 48) of he a icle deal i h a onomo DSM fo indi id al ho ehold . The eb , gene ic algo i hm , ocha ic op imi a ion and linea p og amming a e each p opo ed b % of he a icle . F he me hod a e p i algo i hm ([Al1 ], [Ma1 ]), M l i-Objec i e-P og amming [BN14], F Cl e ing [Pe1 ], combina o ial ma hema ic [Al1 ] and D namic P og amming [KG11].

Si a icle con ide he mic load , hich inc ea e he comple i of he op imi a ion p oblem. In [Ma14b] and [Mi11] he e load a e modeled b non-linea con ain . [Ji11]

e a ocha ic diffe en ial eq a ion and op imi e he e pec ed al e. In [A 1 ], a he - mal ene ge ic b ilding im la ion i ed o gene a e aining da a fo a ne al ne o k. I lea n o keep he empe a e. Th ee a icle [CC11], [LF14], [Mi11] op imi e he cap i e

e of ola plan on he oof op. The eb , [LF14] ake he nce ain ie in ppl and gene a ion in o acco n b ing con®dence in e al .

Decen ali ed O gani ed DSM

Decen ali ed o gani ed DSM i e amined b 1 a icle . The eb , eigh a icle a e b il p on he model of Moh enian-Rad e al. [MR1 ], in hich di ib ed agen ®nd he niq e Na h-eq ilib i m b ing be - e pon e-algo i hm . The eq ilib i m i eq i a- len o he global ol ion of he op imi a ion p oblem, if ce ain condi ion a e me . In [Ma14a] and [SLG14] he model i e ended b in eg a ing ene g o age . [Sa1 ] adap

he model fo Real-Time-P icing in ead of de e mined co f nc ion . In hi a icle and

(8)

in [Ch1 ] he i e a ion of he di ib ed algo i hm a e no pe fo med eq en iall , b i- m l aneo l in o de o peed p he calc la ion ime. The app oach of [CYN14] i ba ed on game- heo e ical con ide a ion a ell. To g a an ee he con e gence of he algo i hm, a penal e m i ed fo change of he ched ling plan. [BLH1 ] e end he model b adap ing he con ain fo EV and b con ide ing ph ical con ain of he ene g g id.

The p oblem of no kno ing he con aining pa ame e of he op imi a ion p oblem 4h in ad ance i add e ed in [FG1 ]. The efo e, andom a iable a e ed. In [MM1 ] i i p o en, ha hei p opo ed algo i hm, hich e a di i ion of he op imi a ion p oblem, i h ee ime fa e han a cen ali ed app oach.

In [HMN1 ] p io i ie a e a igned o he load . The op imi a ion p oblem i hen ol ed b a di ib ed algo i hm. [Ve14] model he op imi a ion p oblem i h Ma ko p o- ce e and h he model can handle nce ain ie . In [D 1 ] einfo cemen lea ning i

ed o o gani e he cha ging p oce of EV .

The mic load a e onl modeled b [K 1 ] in con a o elec ic ehicle , hich a e con ide ed in he con ain b 9 of 1 a icle .

Cen ali ed O gani ed DSM

In he e ie p oce 11 a icle a e iden i®ed, hich a ign he managemen of e iden ial load o one cen al coo dina ion poin hich coo dina e mo e han one ho ehold. Fo a icle ([BF1 ], [Me1 ], [MH14], [Fe1 ]) appl nonlinea p og amming o ol e he e-

l ing comple op imi a ion p oblem. Th ee a icle fa o gene ic algo i hm like [Zh1 ], [Ta1 ], [ZBG1 ]. In [Za1 ], he e i a cen al agen , hich calc la e he load hif ing b a f Ma ko game and im la ed annealing. The ac ion of he con me a e cap ed b Q-Lea ning. In [SX dS14] he op imi a ion p oblem i modeled a game, in hich a cen al node calc la e he be ac ion fo he o he node , hich ep e en appliance . [DVF1 ] op imi e HVAC em i h he ched ling algo i hm Ea lie Deadline Fi . Half of he me hod concen a e on (PH)EV . To op imi e he cha ging p oce [Zh1 ] e a gene ic algo i hm, in [Ta1 ] he op imi a ion e an E ima ion Di ib ion Algo- i hm. [BF1 ] p p a q ad a ic op imi a ion p oblem in hich he i e of he ba e , he loading capaci and he c en ene g p ice a e con ide ed. The e al a ion i pe - fo med on he Na ional Ho ehold T a el S e (NHTS). [MH14] de elop an online applica ion hich coo dina e he cha ging p oce of elec ic ehicle .

D namic P icing

D namic P icing i an impo an a pec fo DSM a man app oache eac on p ice incen- i e . Va iable ene g a iff a e of en pa of he con ain fo he op imi a ion p oblem.

Ne e hele , i i all e amined in la ge con e and doe no foc on indi id al e - iden ial ho ehold . F he mo e, ome pape ma be no fo nd b he ke o d- ea ch a he e m ma ke i e cl ded. A a e l he e a e onl h ee a icle abo he de ign of d namic ene g p ice fo nd in he elec ion.

In [YTN1 ] he ched ling a k i modelled a non-coope a i e game. A ming ha con- me choo e he ac ion, hich i mo p o® able fo hem, he ene g p ice a e cal-

(9)

c la ed hich lead o he mo balanced load di ib ion. In [AYK14] he ene g p ice a e de e mined one ho ahead b looking in o he p edic ed load and he p obabili of con me eac ing on p ice change . [Al1 ] p opo e a a iff hich doe no onl change in ime, b con ide he ma imal demand of he da in he billing p oce . In doing o, ne load peak a eac ion o lo p ice can be a oided.

I i no peci®ed, hich defe able load a e modeled in he e app oache a i i he choice of he con me . Ne e hele , conce ning a im la ion i o ld be impo an o model a eali ic cena io.

4. Compa i on of he E al a ion and Da a Se

Nea l all (41 of 48) a icle p o ide im la ion e l o hei app oache . Abo % of he a icle gene a e a i®cial da a e . Fo e ample [SX dS14] e anda d load p o®le o im la e he load di ib ion fo en ho ehold . The eb , 4 % of he load i a med o be ¯e ible. In [Sa1 ] he demand of 5 ho ehold i modeled i h a andom di ib ion and i i a med, ha 5 % of he load a e ¯e ible. In [Ve14] he cha ging p oce e of EV a ho ehold a e modeled. The eb , diffe en pe cen age (15%, %, 45%) of ¯e ible ho ehold a e e ed. The con ain a e modelled b Ga ian di ib ion . In [LP1 ], [CC11] and [Ji11], he im la ion onl incl de defe able load . In [LP1 ], he e load a e modeled i h an in¯e ible load p o®le, hich i im la ed b a andom di ib ion. In [CC11], a di h a he , a a hing machine and a d e a e modelled in de ail. Simila app oache ha e been ed fo he o he a icle i h a a i®ciall gene a ed da a e .

Si a icle efe o empi icall eco ded da a e : In [D 1 ] he I i h Sma Me e ing Da a f om he Commi ion fo Ene g Reg la ion ([CE15] i ed o im la e an op i- mal cha ging managemen of nine EV connec ed o nine ho ehold . The e al a ion of [Ba14] al o de i e he con aining pa ame e b ing Sma Me e ing Da a. I e he Ol mpic Penin la Demon a ion Te bed [Ch1 ]. [BN14] applie he eal ene g p ice

hich e e cha ged in Long I land of Ne Yo k 1 [Ne1 ] o im la e he op imal age of h ee ho ehold appliance (di h a he , a hing machine and d e ). A imila e al a ion me hod i ed in [K 1 ]. The efo e, he o al con mp ion of he Uni e i of So he n Califo nia a ell a he con mp ion of ingle appliance like he HVAC, ligh and lap op e e mea ed. Ba ed on hi , load hif ing co ld hen be im la ed fo a ela i el eali ic cena io. [BF1 ] look in o he cha ging managemen of EV and e he U.S. Na ional Ho ehold T a el S e Da a e [ ] o im la e age pa e n . Fo [Co14] a ®eld ial a ca ied o , in hich 1 ho ehold ook pa in. The e peci-

®ed, in hich ime f ame he o ld like o do hei la nd e en da ahead. A cen al node calc la ed he op imal a ing poin and info med he e ia SMS.

The goal of he p e en ed app oache i o ed ce peak in con mp ion o o adap he con mp ion in acco dance o a co f nc ion. The eb , a co ed c ion of abo ± 5%

i achie ed. Ho e e , he e l a e no compa able a diffe en a mp ion a e made.

Thi no onl incl de he co f nc ion b al o he nce ain of he fo eca ed load ,

(10)

he n mbe of pda e ed fo one da , he modeling of he con aining pa ame e and he pe cen age a e of ¯e ible load in he o al con mp ion.

4.4 Concl ion

Pa ic la empha i of he e ea ch done o fa i placed on a onomo DSM. The ap- p oach bene® f om independence o o he ho ehold . The op imi a ion p oblem i lim- i ed o a manageable amo n of appliance , hich a e pa iall modeled in de ail. The e a e a io op imi a ion me hod hich can cope i h hi kind of p oblem . The com- m nica ion inf a c e can be ela i el imple a in mo ca e he onl info ma ion hich ha o be comm nica ed a e he ene g a iff fo he ne 4 ho . Ho e e , he independence o o he ho ehold ha i d a back . U all , he be ol ion fo a lo- cal ne o k load canno be eached hi a . Decen ali ed DSM p i hi and allo nego ia ion of e e al ho ehold . B doing hi , he n mbe of deg ee of f eedom i in- c ea ed and he pa ame e a e connec ed o each o he , o ha a gene a ion of ne peak can be a oided. Unde ce ain condi ion , a global op im m can be eached ha a a [MR1 ] p o e b appl ing game- heo e ical heo em . Mo of he e ea ch fo nd fo decen ali ed DSM elie on he model of [MR1 ] and ie o enhance he app oach in ce ain a pec .

Gi en ha all con aining pa ame e a e kno n, a cen all o gani ed DSM can ®nd o he op imal ol ion. Fo e ample, in [Me1 ] a cen ali ed a eg fo cha ging EV i compa ed o a local one, in hich a cha ging p oce i con olled b he ma home man- agemen of one indi id al ho ehold. The eb , he decen ali ed a eg eache ligh l be e e l , b i al o eq i e a mo e comple comm nica ion inf a c e. The need of a m l i-di ec ional comm nica ion inf a c e i a d a back fo all app oach of DSM hich incl de mo e han one ho ehold. Addi ionall , q e ion of da a p o ec ion n p a en i i e da a i e changed be een he diffe en pa icipan . Thi migh be he ea on h 5 of 1 a icle dealing i h he op imi a ion of EV cha ging concen a e on p b- lic a ion . In hi con e , he q e ion of da a p i ac i no a c i ical a in he p i a e con e .

In he e al a ion of he me hod p opo ed in he a icle , c cial ho -coming a e e- ealed. The da a e ed fo he e al a ion a e of en ba ed on highl impli®ed a -

mp ion and can he efo e onl be ed fo fea ibili e of he algo i hm . To ca o cien i®c benchma king p blicl a ailable da a e a e needed hich a e mea ed empi icall and in hich defe able load a e ma ked. F he mo e, i o ld be ef l o kno ho long in ad ance he defe able load a e epo ed.

Be ide eal da a e ed fo e al a ion in [D 1 ] and [Ba14], da a e of Non-In i e- Appliance-Load-Moni o ing (NIALM) can be ecommended. The e i fo e ample he AMPd da a e ([Ma1 ]) in hich he demand of each componen i a ed indi id all .

(11)

4.5 Limi a ion

The ke o d ea ch canno g a an ee ha all a icle ela ed o DSM in e iden ial con e a e fo nd. To he con a , ome ele an a icle a e mi ing fo e. Ho e e , he p e en li e a e e ie gi e a comp ehen i e o e ie of he me hod and algo i hm ed in

he e iden ial con e of DSM. In addi ion o ha , ho -coming and open q e ion a e poin ed o .

5 S mma and O look

The li e a e e ie clea l ho ha he implemen a ion of DSM in a e iden ial con e i a c en e ea ch opic in hich a io diffe en app oache a e e ed. B ca ego i ing

he a icle fo DSM in diffe en dimen ion , i can be een hich app oache o k fo hich f ame o k , fo hich componen and i h hich op imi a ion algo i hm . The anal i of he e al a ion done in he a icle e eal a lack of empi icall mea ed and p blicl a ailable da a e and an ag eemen on e o mea e o compa e he pe fo mance of he algo i hm .

Some a icle ake p he fac , ha he inp pa ame e of he a med demand can onl be andom a iable . I eem ha f he e ea ch i needed o cope i h hi fac . Ad- di ionall , i i no f ll modelled e , ha defe able load a e no kno n 4h ahead, b onl epo ed d ing he da . Th , he e i a e ea ch gap conce ning he e plici con-

ide a ion of nce ain ie and a con in o l adap a ion of he demand ched ling d ing he da .

Refe ence

[ ] 9 Na ional Ho ehold T a el S e , URL: h p: nh .o nl.go S and: 18. 4. 15.

[Al1 ] Ali, S.Q. e al.: P i Algo i hm fo op imi ed load ched ling. In: Po e Enginee ing and Op imi a ion Confe ence (PEDCO) Melaka, Mala ia, 1 Ieee In e na ional. pp.

19 ±198, J ne 1 .

[Al1 ] Ali, SQ e al., NH: Load ched ling i h ma im m demand and ime of e p icing fo mic og id . In: Global H mani a ian Technolog Confe ence: So h A ia Sa elli e (GHTC-SAS), 1 IEEE. IEEE, 1 .

[ASHK1 ] Alam, M.R. S -Hilai e, M. K n , T.: Co op imi a ion ia e ched ling in ma g id A linea p og amming app oach. In: Sma Ene g G id Enginee ing (SEGE), 1 IEEE In e na ional Confe ence on. pp. 1± , A g 1 .

[A 1 ] A aba , Denni e al.: Self-Adap ing B ilding Model and Op imi ed HVAC Sched ling fo Demand Side Managemen . 1 .

[AYK14] A hfaq, Ah an Ying n, S n Khan, Akif Zia: Op imi a ion of economic di pa ch p oblem in eg a ed i h ocha ic demand ide e pon e. In: In elligen Ene g and Po e S em (IEPS), 14 IEEE In e na ional Confe ence on. IEEE, pp. 11 ±1 1,

14.

(12)

[Ba14] Ba am adeh, Na a an Ghanem, Roge L , Sh ai Ka emi aba , Se ed Jalal: Rob ched ling of ma appliance i h nce ain elec ici p ice in a he e ogeneo pop-

la ion. Ene g and B ilding , 84:5 ±54 , 14.

[BF1 ] Ba ha h, Saeid Fa h , Ho am K: Op imi ing demand e pon e of pl g-in h b id elec- ic ehicle ing q ad a ic p og amming. In: Ame ican Con ol Confe ence (ACC),

1 . IEEE, pp. 1 ± 1, 1 .

[BLH1 ] Bea de, Oli ie La a lce, Sam on Hennebel, Ma in: Cha ging game in ne o k of elec ical ehicle . In: Ne o k Game , Con ol and Op imi a ion (Ne GCooP), 1

h In e na ional Confe ence on. IEEE, pp. 9 ±1 , 1 .

[BN14] B , Honggang N ga d, Kendall: Adap i e Sched ling of Sma Home Appliance U - ing F Goal P og amming. In: ADAPTIVE 14, The Si h In e na ional Confe - ence on Adap i e and Self-Adap i e S em and Applica ion . pp. 1 9±1 5, 14.

[B 9] om B ocke, Jan Simon , Ale ande Nieha e , BjÈo n Rieme , Kai Pla fa , Ralf Cle en, Anne: Recon c ing he gian : On he impo ance of igo in doc men ing

he li e a e ea ch p oce . In: 1 h E opean Confe ence on Info ma ion S em , ECIS 9, Ve ona, I al , 9. pp. ± 1 , 9.

[CC11] Ca illo-Cagigal, Man el e al.: A emi-di ib ed elec ic demand- ide managemen em i h PV gene a ion fo elf-con mp ion enhancemen . Ene g Con e ion and Managemen , 5 ( ): 59± , 11.

[CE15] CER Sma Me e ing P ojec , URL: h p: . cd.ie i da da a- commi ionfo ene g eg la ionce , S and: . 1. 15.

[Ch1 ] Cha in, D.P.: Ol mpic Penin la Demon a ion Te bed Re l .Tech.Rep. 1 . [Ch1 ] Chen, He Hen e al.: A a ia ional ineq ali app oach o in an aneo load p icing

ba ed demand ide managemen fo f e ma g id. In: Comm nica ion (ICC), 1 IEEE In e na ional Confe ence on. IEEE, pp. 4 5 ±4 54, 1 .

[Co14] Co an a, En ico e al.: Doing he la nd i h agen : a ®eld ial of a f e ma ene g em in he home. In: P oceeding of he nd ann al ACM confe ence on H man fac o in comp ing em . ACM, pp. 81 ±8 , 14.

[CYN14] Cha ali, Phani Yang, Peng Neho ai, A e: A di ib ed algo i hm of appliance ched ling fo home ene g managemen em. Sma G id, IEEE T an ac ion on, 5(1): 8 ± 9 , 14.

[DA1 ] De Angeli , F ance co e al.: Op imal a k and ene g ched ling in d namic e iden ial cena io . In: Ad ance in Ne al Ne o k ±ISNN 1 . Sp inge , 1 .

[D 1 ] D pa ic, I ana e al.: M l i-agen e iden ial demand e pon e ba ed on load fo eca - ing. In: Technologie fo S ainabili (S Tech), 1 1 IEEE Confe ence on. IEEE, pp. 9 ±9 , 1 .

[DVF1 ] Della Vedo a, Ma co L Facchine i, T llio: Real-Time Sched ling fo Peak Load Re- d c ion in a La ge Se of HVAC Load . In: ENERGY 1 , The Thi d In e na ional Confe ence on Sma G id , G een Comm nica ion and IT Ene g -a a e Technolo- gie . pp. 1 1±1 , 1 .

[Fe1 ] Fe nande , Filipe e al.: In elligen Managemen of End Con me Load Incl ding Elec ic Vehicle h o gh a SCADA S em. 1 .

(13)

[FG1 ] Fa hi, Mohammad Gholami, Meh dad: Locali ed demand- ide managemen in elec ic po e em . In: Sma G id (ICSG), 1 nd I anian Confe ence on. IEEE, pp.

1±4, 1 .

[Ge85] Gelling , Cla k W: The concep of demand- ide managemen fo elec ic ili ie . P o- ceeding of he IEEE, (1 ):14 8±14 , 1985.

[HMN1 ] H ang, Ying ong Mao, Shi en Nelm , RM: Smoo h elec ic po e ched ling in po e di ib ion ne o k . In: Globecom Wo k hop (GC Wk hp ), 1 IEEE.

IEEE, pp. 14 9±14 , 1 .

[H 14] H , Ting e al.: An op imal da -ahead di pa ch a eg fo defe able load . In: Po e S em Technolog (POWERCON), 14 In e na ional Confe ence on. IEEE, pp.

1 85±1 9 , 14.

[Ji11] Jia, Li an e al.: M l i- cale ocha ic op imi a ion fo home ene g managemen . In:

Comp a ional Ad ance in M l i-Sen o Adap i e P oce ing (CAMSAP), 11 4 h IEEE In e na ional Wo k hop on. IEEE, pp. 11 ±11 , 11.

[KG11] Kim, Se ng-J n Giannaki , Geo gio B: Ef®cien and calable demand e pon e fo he ma po e g id. In: Comp a ional Ad ance in M l i-Sen o Adap i e P oce ing (CAMSAP), 11 4 h IEEE In e na ional Wo k hop on. IEEE, pp. 1 9±11 , 11.

[K 1 ] K ak, J n- o ng e al.: SAVES: A ainable m l iagen applica ion o con e e b ilding ene g con ide ing occ pan . In: P oceeding of he 11 h In e na ional Con- fe ence on A onomo Agen and M l iagen S em -Vol me 1. pp. 1± 8, 1 . [LF14] Li , Ping F , Yong: Con c ion of m l iband nce ain e fo b ilding ene g man-

agemen i h nce ain load and ola po e . In: PES Gene al Mee ingÐ Confe ence

& E po i ion, 14 IEEE. IEEE, pp. 1±5, 14.

[Li14a] Liang, Ying e al.: A o-DR Op imal Deci ion-Making Me hod of Sma Home Ba ed on RTP. In: Applied Mechanic and Ma e ial . ol me . T an Tech P bl, pp.

81 ± 8 1, 14.

[Li14b] Li , Gi-Ren e al.: Op imal Th e hold Polic fo In-home Sma G id i h Rene able Gene a ion In eg a ion. 14.

[LP1 ] Lee, J nghoon Pa k, G ng-Leen: Po e load di ib ion fo i ele en o and ac- a o ne o k in ma g id b ilding . in e na ional Jo nal of Di ib ed en o Ne o k , 1 , 1 .

[LPK1 ] Lee, J nghoon Pa k, G ng-Leen Kim, H e-Jin: M l i h eaded Po e Con mp ion Sched le Ba ed on a Gene ic Algo i hm. In: Comm nica ion and Ne o king, pp.

4 ±5 . Sp inge , 1 .

[Ma1 ] Maqbool, SD e al.: Compa i on of p i andε-G eed algo i hm fo load ched l- ing nde eal ime p icing. In: Po e and Ene g (PECon), 1 IEEE In e na ional Confe ence on. IEEE, pp. 515±519, 1 .

[Ma1 ] Makonin, S ephen e al.: AMPd : A p blic da a e fo load di agg ega ion and eco- feedback e ea ch. In: Elec ical Po e & Ene g Confe ence (EPEC), 1 IEEE.

IEEE, pp. 1± , 1 .

[Ma14a] Mana eh, Emman el e al.: Di ib ed demand- ide managemen i h load nce - ain . In: ITU Kaleido cope Academic Confe ence: Li ing in a con e ged o ld- Impo ible i ho anda d ?, P oceeding of he 14. IEEE, pp. ± 8, 14.

(14)

[Ma14b] Ma co, Se e ini e al.: Sma home a k and ene g e o ce ched ling ba ed on non- linea p og amming. In: Recen Ad ance of Ne al Ne o k Model and Applica ion , pp. 1 5±185. Sp inge , 14.

[Me1 ] Me , Ke in e al.: Op imi ing ma ene g con ol a egie fo pl g-in h b id elec- ic ehicle cha ging. In: Ne o k ope a ion and managemen mpo i m o k hop (NOMS Wk p ). pp. 9 ± 99, 1 .

[MH14] Milano, Fede ico He en , Oli ie : Op imal load managemen i h incl ion of elec ic ehicle and di ib ed ene g e o ce . Sma G id, IEEE T an ac ion on, 5( ): ±

, 14.

[MHC1 ] Miao, H i H ang, Xiaodi Chen, G o: A gene ic e ol iona a k ched ling me hod fo ene g ef®cienc in ma home . In e na ional Re ie of Elec ical Enginee ing,

(5):589 ±59 4, 1 .

[Mi11] Mi ao i, Rim e al.: Ene g Fl e op imi a ion fo PV in eg a ed B ilding. In: Po - e Tech, 11 IEEE T ondheim. IEEE, pp. 1± , 11.

[MM1 ] McNama a, Pa l McLoone, Sean: Hie a chical Demand Re pon e ing Dan ig- Wolfe decompo i ion. In: Inno a i e Sma G id Technologie E ope (ISGT EU- ROPE), 1 4 h IEEE PES. IEEE, pp. 1±5, 1 .

[MR1 ] Moh enian-Rad, A-H e al.: A onomo demand- ide managemen ba ed on game- heo e ic ene g con mp ion ched ling fo he f e ma g id. Sma G id, IEEE T an ac ion on, 1( ): ± 1, 1 .

[Ne1 ] Ne Yo k Independen S em Ope a o : P icing Da a, URL: h p: .n i o.com- p blic ma ke ope a ion ma ke da a p icing da a inde .j p.

[Pe1 ] Pe ei a, R e al.: Demand Re pon e Anal i in Sma G id U ing F Cl e ing Model. In: Technological Inno a ion fo he In e ne of Thing , pp. 4 ±41 . Sp inge ,

1 .

[RZ15] Ranjini, A Zo aida, BSE: P eemp i e Appliance Sched ling in Sma Home U ing Gene ic Algo i hm. In: A i®cial In elligence and E ol iona Algo i hm in Engi- nee ing S em , pp. 8 ± 9 . Sp inge , 15.

[Sa1 ] Samadi, Ped am e al.: Op imal eal- ime p icing algo i hm ba ed on ili ma imi a- ion fo ma g id. In: Sma G id Comm nica ion (Sma G idComm), 1 Fi IEEE In e na ional Confe ence on. IEEE, pp. 415±4 , 1 .

[SLG14] Soliman, Ha em M Leon-Ga cia, Albe o: Game- heo e ic demand- ide managemen i h o age de ice fo he f e ma g id. 14.

[S 15] S Èdli, Sonja e al.: Di ib ed Load Managemen U ing Addi i e Inc ea e M l iplica- i e Dec ea e Ba ed Techniq e . In: Pl g In Elec ic Vehicle in Sma G id , pp. 1 ±

. Sp inge , 15.

[SX dS14] Song, Linqi Xiao, Y an hang an de Schaa , Mihaela: Non- a iona demand ide managemen me hod fo ma g id . In: Aco ic , Speech and Signal P oce ing (ICASSP), 14 IEEE In e na ional Confe ence on. IEEE, pp. 59± , 14.

[Ta1 ] Ta oe, Taka hi e al.: EDA-Ba ed Cha ging Algo i hm fo Pl g-In H b id Elec ic Ve- hicle o Shif he Peak of Po e S ppl . In: Applied Mechanic and Ma e ial . ol me

. T an Tech P bl, pp. 4 ±5 , 1 .

(15)

[Ve14] Ve chae, Rod igo e al.: A di ib ed coo dina ion f ame o k fo on-line ched l- ing and po e demand balancing of ho ehold comm ni ie . In: Con ol Confe ence (ECC), 14 E opean. IEEE, pp. 1 55±1 , 14.

[WW ] Web e , Jane Wa on, Richa d T: Anal ing he pa o p epa e fo he f e: W i ing a li e a e e ie . Managemen Info ma ion S em Q a e l , ( ): , . [YTN1 ] Yang, Peng Tang, Gongg o Neho ai, A e: Op imal ime-of- e elec ici p icing

ing game heo . In: Aco ic , Speech and Signal P oce ing (ICASSP), 1 IEEE In e na ional Confe ence on. IEEE, pp. 81± 84, 1 .

[Za1 ] Zang, Ch an hi e al.: Sim la ed annealing ba ed f Ma ko game ene g manage- men fo ma g id . In: Con ol and Deci ion Confe ence (CCDC), 1 5 h Chine e.

IEEE, pp. 4 ±4 , 1 .

[ZBG1 ] Zong, Yi Bindne , Hen ik W Geh ke, Oli e : Real- ime applica ion of Diffe en P e- dic i e Con ol S a egie fo Di ib ed Ene g Re o ce Combining Demand Re-

pon e and Wind. IEEE T an ac ion on S ainable Ene g , 1 .

[Zh1 ] Zhao, Weiliang e al.: Co -D i en Re iden ial Ene g Managemen fo Adap ion of Sma G id and Local Po e Gene a ion. 1 .

Referenzen

ÄHNLICHE DOKUMENTE

Edité par la Station fédérale de recherches en production végétale de Changins (N. Delabays)©AMTRA Liste des herbicides homologués en arboriculture en

Folpet 80 WP 21 CTA, Schneiter, Sintagro, Stähler Folpet 80 WG* 21 Amreco, Bayer, Leu-Gygax,

 Das MI sendet einen Hilferuf mit den IDs der Nodes, die es erreicht hat per Unicast über Node an M (call_for_help)..  Die Nodes leiten die Nachricht per Multicast per Unicast

Nine een h Ann al Join Confe ence of he IEEE Comp e and Comm nica ion Socie ie... In (Science and Enginee ing Re ea ch S ppo Socie

In: P oceeding of he In e na ional Confe ence on Info ma ion S em and De ign of Comm

In: P oceeding of he ACM SIGPLAN Confe - ence on Lang age, Compile , and Tool fo Embedded S em.. In e na ional Confe

Local pe infe ence of en allo omi ing pe of a iable decla a ion and e n pe of me hod... The efo e one ol ion ha o be elec ed and in an ia ed o he pe placeholde in

Zusätzlich zu unserer bisherigen erfolgreichen Arbeit werden wir uns vor allem im Bereich der Universitätsreform engagieren: Bei der Umsetzung der 2002 anstehenden Reform treten wir