French riviera impact of climate change and REN on grid resiliance

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1 French riviera impact of climate change and REN on grid resiliance March

2 French riviera survey a good case for real problems 4 black outs in 5 years due to HV network configuration and population increase 2

3 French riviera energy master plan Up to 4200 MW of photovoltaic in 2030 (80 % of summer peak) 70% 60% 50% 40% 30% 20% 10% 0% share of peak consumption during summer (%) share of delivered energy during summer (%) 3

4 French riviera survey where are peak hours? In summer not where they are today! MW DECEMBE R MW JUL Y 2006 consumption 2030 cons. with Ev's 2030 HV grid flows 2030 cons. with Ev's 2030 HV grid flows 4

5 French riviera survey primary reserve HP modeling Up to 4200 MW of photovoltaic (80 % of summer peak) 30% 25% 20% 15% 10% 5% 0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% +60 variations per day higher than 10 % in one minute In almost all cases the opposite variation happens in 3 minutes A solution based on flighing wheel or supercondensator would require to store 50 % of a substation capacity for one minute 5

6 French riviera survey a good sample of real problems In concrerte a series of major issues to be sorted out Auditable capacity market capabilities Suboptimal grid subscription contracts for ERDF New modeling for PV connection quote EV loading station management Lack of reactive power injection on LV networks Time Of Use tariff Transient gaps in PV production Unexpected Islanding Contract based on distribution QoS

7 peak shaving capacity management per zone with auditability new modeling tool for decentralized PV optimization (with statistical load curve management) LV analysis of electricity quality of delivery (including voltage) Dataflow analysis per substations/transformer Global big data analytics central system automatic MV/LV control command system with real time substation control (feeder and capacitors control) LV/MV flow forecast tool with constraints solver real time injection/cons. weather forecast per point of injection, transformer, circuit and substation real time cloud prevision with estimation (per minute) of PV injection automatic connexion between MV/LV peak shaving system and capacity markets dispatching of EV's load stations dynamic LV/MV network automatic reconfiguration (fault management) dynamic control of peak shaving devices direct control command of major decentralized production units (anti islanding)

8 French riviera survey main findings -No issue without already existing technologies -Main technical issues are related with voltage control by order of occurrence : -Reactive power injection control -Shift in the peak of consumption -End of afternoon ramp-up -Unexpected islanding -Most efficient and less expensive solutions require significant regulation changes (smart inverters, decentralized primary reserve services, smart meters, ) -Most efficient and less expensive solutions have a limited but real impact on the final user (smart meter, TOU s tariffs, EV loading strategy, ) which need not to be underestimated -Still a hard job to be performed to estimate ROI and set up processes to secure funding 8

9 Contact François Dauphin Energy&Utility Industry Expert Europe, Middle East, Africa Mobile :