Challenges of inverting modern grid technology into operation
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- Valerie Roberts
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1 Callenges of nvertng modern grd tecnology nto operaton Crstan D Adamo Head of Operaton and antenance Enel Dstrbuzone Italy Berln arc 6t 05
2 Dstrbuton busness s at a crossroad because of emergng tecnologcal and market trends Examples for Italy EU reen polces and drectves Tgtenng energy effcency targets 00 Energy effcency targets TEP -0% -5% BAU 00 EU 00 SEN rowng renewable and dstrbuted generaton D Increased complexty n grd management and securty of supply New trends fosterng te electrcty vector and convergence of nfrastructures e.g. optcal fber mult-servce meterng electrc vecle Dstrbuted eneraton W Bdrectonal communcaton wt customers New servces for energy retalers and customers Prosumers k#
3 Tngs are rapdly cangng Dstrbuted eneraton D connectons to V networks Number of connectons N. [W] eneraton Power W % Solar % Solar BT LV T V AT HV LV BT V T HV AT ~ Prosumers >6 W nstalled capacty
4 and tey don t look lke wat tey seemed to be Load profle of a HV/V substaton day vs. ngt EXAPLE: HV/V substaton nosa Pugla Regon W W August - Lunedì 0 t 00 0 Agosto 00 W August - Lunedì t 0 Agosto 0 W August - Lunedì 7 t 0 7 Agosto 0-40 our D dspatcng wll be key to address future callenges troug Smart rds tecnologes 4
5 Reverse power flow of HV/V transformers Energy flow at TSO-DSO boundary HV/V Transformers No. 5 % 54 7% 0 78 % 5% Reverse flow >=% yearly ours 5 7% % 8% % Reverse flow >=5% yearly ours dec-00 dec-0 dec-0 uly-0 % HV/V transformers beavng as Vrtual Power Plants 5
6 Impact of Dstrbuted eneraton D Callenges for DSOs Network plannng based on most severe combnaton of load+generaton condtons Voltage profles ncreasngly dependng on D more tan DSO Uncontrolled slandng rsk System s operatonal securty Enel Dstrbuzone solutons Advanced plannng tecnques and tools Smart rd applcatons Voltage control Use of storage Closed-loop operaton Real-tme control of Dstrbuted eneraton Several plot proects ongong 6
7 Evoluton of plannng tecnques u A u u u AltraD u E u u u Eolco u F u u u Foto u A u u u AltraD u E u u u Eolco u F u u u Foto stat n nt k uk nr c stat n nt k uk nr stat n nt k uk nr c stat n nt k uk nr tr r tr r Q tr r tr r Q tr r tr r Q tr r tr r tr r tr r tr r tr r C Ctr Cr C Ctr Cr Q C Ctr Cr C Ctr Cr C ore gornata tpo Potenza Condzone d eserczo A Condzone d eserczo B ore gornata tpo Potenza Condzone d eserczo A Condzone d eserczo B From a determnstc ft & forget approac..to a statstc one. Impact of Dstrbuted eneraton D Enanced capabltes to operate te Dstrbuted eneraton 7
8 How to deal wt ts wtout eopardzng system s securty ontorng enanced remote control capabltes automatc optmal network confguraton real-tme data excange wt TSO Forecastng renewable D modellng weater data mnng generaton output predcton algortms Dspatcng real-tme telecommuncaton and D coordnated control predctable profle of HV/V Substaton load Demand Sde anagement and Response Te DSO wll play a key role n te new model of Smart rd 8
9 Wc scenaro for te future? From ft & forget approac to te local dspatcng of D D and renewables can support te electrc system by: Provdng conventonal frequency-related servces Ensurng voltage regulaton and local congeston relef Lmtng te needs for renforcement of te exstng network Local dspatcng of D can provde: Reactve power flow optmzaton Increase of te ostng capacty of exstng networks Partcpaton to Ancllary servces markets Contrbuton to system s securty
10 Smart rds features and vson D-ntegraton Advanced remote control system nteractng wt dstrbuted generaton and renewables Enanced Interacton TSO / DSO Evoluton of te current procedures for te operaton of te network wt D market partcpaton to Ancllary Servces D-forecast Accurate predcton of D producton and demand sde management to reduce te unpredctablty of te resdual demand at TSO boundares Storage Storage systems n te dstrbuton system to correct devatons of te man electrcal parameters 0
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