Page - 174 - in Short-Term Load Forecasting by Artificial Intelligent Technologies
Image of the Page - 174 -
Text of the Page - 174 -
Energies2018,11, 2038
Inorder tocompare the real electricitybill in2016of thecustomer (thecampusuniversity)with
theone that itwouldhavehadactingasaDMC, theparts that aredifferent inbothof thebillshave
beenemphasized. The real electricitybill emittedby thesupplier in2016 (a retailer) consistsof three
components: theaccess fees (regulatedprice), the taxes, andthe“referencedenergy”(which includes
someregulatedpricessuchasthecapacitypaymentsor losscoefficientsandallof theunregulatedprices).
FinalCostRetailer =AccessFees+ReferencedEnergy+Taxes (13)
Takingintoaccount that theaccess feesandtaxesare thesamefor thetwotypesofsupply(retailer
andDMC), thecostof the“referencedenergy”for2016 isanalyzed.
ForaDMC, thehourlycostof the (referenced)energy isgivenbythe followingsumofcosts:
E(h) = ECBC(h)+DMP(h)·EDM(h)+ IMP(h)·EIM(h)+ SAC(h)·EMCB(h)
+MDP(h)·EMD(h)+CPP(h)·EMCB(h) (14)
where:
• E(h)=Energycost in thehour“h”, in€.
• ECBC(h)=Energycost in thehour“h” frombilateral contracts, in€.
• DMP(h)=DailyMarketprice in thehour“h”, in€/kWh.
• EDM(h)=Energybought in theDailyMarket in thehour“h”, inkWh.
• IMP(h)= IntradayMarketprice in thehour“h”, in€/kWh.
• EIM(h)=Energybought in the IntradayMarket in thehour“h”, inkWh.
• SAC(h)=Systemadjustmentcostpassedonto theDMCinthehour“h”, in€/kWh.
• EMCB(h)=EnergymeasuredinCentralBars in thehour“h”, inkWh.
• MDP(h)=MeasuredDeviationsprice in thehour“h”, in€/kWh.
• EMD(h)=MeasuredDeviationofEnergy in thehour“h”=Differencebetweenconsumedenergy
andprogrammedenergy in thehour“h”, inkWh.
• CPP(h)=Capacitypaymentprice in thehour“h”, in€/kWh.
Inthispaper, it isassumedthat theDMCinthestudy(thecampusuniversity)doesnotparticipate
inbilateral contractsnor in the IntradayMarket, thus thehourlycostof theenergyreduces to:
E(h)=DMP(h)·EDM(h)+ SAC(h)·EMCB(h)+MDP(h)·EMD(h)+CPP(h)·EMCB(h) (15)
It ismandatory for theSpanishRegulator (ComisiónNacionaldelMercadoy laCompetencia,
CNMC)topublishonitswebsiteadocumentwiththecriterionusedtocalculate theaveragefinalprice
(AFP)ofenergy in themarket. TheAFP(seeFigure4) representsanapproximatevalueof thecost
ofelectricenergyperkWh,beingonlyareference thatcanvarytoagreateror lesserextent fromthe
actualfinalprice,dependingontheconsumer. Specifically, thecapacitypaymentsandthedeviations
betweenenergyconsumedandprogrammed,are those thatcanmarkgreaterdifferencesbetweenthe
realcostof the invoicingandthecost resultingfromusingtheaveragefinalprice.Asanadditional
objective,wecompare thereal costactingasaDMCwiththeresultingcostusingtheAFP.
4.3. CaseStudy:ACampusUniversityasaDMC
Todate, all thedependenciesof theTechnicalUniversityofCartagenahavecontractedsupply
with a retailer,which is themodality of supplyingof almost all consumers inhighvoltage of the
Spanish electrical system. Onlyaround200 consumershavedared toparticipate in theMarket as
DMC,see the list in [43]. In2016, thecontractedtariff for theAlfonsoXIII campuswastheATR6.1,
6-periodhighvoltage tariff,withasupplyvoltageof20kV.
As ithasbeenstatedbefore, thefinalpriceof the campusuniversity’s invoice is composedof
theaccess fees (whichrefers to theuseof thenetwork), the taxes, andthepriceof theenergyfreely
174
Short-Term Load Forecasting by Artificial Intelligent Technologies
- Title
- Short-Term Load Forecasting by Artificial Intelligent Technologies
- Authors
- Wei-Chiang Hong
- Ming-Wei Li
- Guo-Feng Fan
- Editor
- MDPI
- Location
- Basel
- Date
- 2019
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-03897-583-0
- Size
- 17.0 x 24.4 cm
- Pages
- 448
- Keywords
- Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
- Category
- Informatik