How to deal with EV impact on distribution grids - WP4- Grid EV-olution

Transcription

1 How to deal with EV impact on distribution grids - WP4- Grid EV-olution Green emotion European Electromobility Stakeholder Forum Brussels, June th 3 Jan Rasmussen, Danish Energy Association

2 D 4.: Overview. Body of knowledge. EV Impact Assessment 3. Recommendations Analysis of business processes involved in the smart charging value chain. Definition of BB scenario for smart charging. Charge management strategies. Selection of charging strategies to be tested Smart Charging technological enablers. With the assumption of meaningful EVs penetration, EVs launched on the market in have been tested in smart charging processes. PQ measurements. AC and DC charging processes tested. Modulated power ( Smart charging ) Recommendations are hereby outlined to: OEMs and EVs embedded hardware. Regulatory bodies Page June th 3 European Electromobility Stakeholder Forum

3 D 4.3: Overview. Power Quality Assessment. Tool kit 3. Grid Impact Assessment Analysis of the level of EV driven harmonics in the context of the present and future standards. - Charging Strategies - Power Modulation Development of tool kit for assessing the impact of EVs on distribution network costs. Parameters and scenarios for assessing reinforcement costs Calculation of reinforcement costs for specific distribution networks. Functional specification for future distribution network planning tools Page June th 3 European Electromobility Stakeholder Forum

4 Grid-supporting opportunities of EVs Body of Knowledge E-mobility framework for smart charging DSO is part of the Electromobility Eco System Page 3 June th 3 European Electromobility Stakeholder Forum

5 Grid-supporting opportunities of EVs EV Impact Assessment Smart charging field tests in Italy with EVs launched in the market in.% Charging at rated power vs. Charging with reduced power.% 8.% 6.% UD and TB OPT 4.%.%.% Noise modulation is not correlated with fundamental modulation. Embedded EVs hardware is often not actively biased and noise performance worsten during smart charging. Page 4 June th 3 European Electromobility Stakeholder Forum

6 D4. Key conclusions and recommendations Reccomendations Smart charging should lead to pricing incentives for the final customer. This means that charging fee could undergo local modulation according to the ancillary services provided to the DSO through the smart charging process involving the final customer and his contract with the EVSP. OEMs should consider to improve embedded EV power electronics hardware to reduce noise impact in smart charging processes when the EV bias point is moved out of nominal power zone. to be validated by T4.3 Increase of noise injected in LV grid when EVs gets load-modulated could lead to grid reinforcements in massive scenario. This is completely in contrast to the original principle of deploying smart charging as a more effective solution than paving new copper wires in LV grid and may endanger the sustainability and reliability of smart charging value chain. Page June th 3 European Electromobility Stakeholder Forum

7 D4.3 Power Quality related to harmonics. Power Quality Assessment Preliminary results N = number of EVs to be charged before limit is exceeded. A closer cooperation between manufactures and DSOs Smart meters, capable of measure harmonics can play a key role Page 6 June th 3 European Electromobility Stakeholder Forum

8 D4.3 ITRES Tool kit. Tool kit LV Network Assets database and costing Inputs Existing Load Profiles EV Charging Profiles 8 4-hours Existing Load Profile, Year hours Profile of Existing Load, Year 4, 4 3, 3,,, Mode A: Existing load (P/Q) and EV charging (P/Q) specified as 4-h profiles from Year to Year, in every node.,,, 4-h EV charging profile, Year ,,, 4-h EV charging profile, Year Template (Modes A B B) Mode B: - Existing Load (P/Q): 4-h profiles in every node for only Year and growth Mode B: rates from Year to Year. Existing Load (P/Q) in every node for only- EVs: number of EVs from Year to Year and three EV charging (P/Q) specified Year and selected average 4-h EV as 4-h profiles. charging profiles per EV numbers. From Year to Year : - growth rate for existing load; 4, Evening EV charging - number of EVs per profile. 4 Morning EV charging % Growth of Existing Load, from Year to Year hours Existing Load Profile, Year , 3,,, overnight EV charging Outputs - Voltage Driven Reinforcements - Thermal Driven Reinforcements Page 7 June th 3 - European Total reinforcement Electromobility costs Stakeholder Forum Growth in EV number, from Year to Year EVnumber_ EVnumber_ EVnumber_

9 Reinforcement cost ( k) Number of EVs Reinforcement cost ( k) Number of EVs Reinforcement cost ( k) Number of EVs D4.3 Reinforcement Costs in Low Voltage Grids 3. Grid Impact Assessment 3 Preliminary results 6 4 To do effective reinforcement of the distribution low voltage grids: Year 3 Location of EVs must be known Advanced grid planning tools Measurements af customer level Smart Charging must be enabled 3 UG-I UG-V OH-I OH-V GMT PMT 6 EVs Year 3 UG-I UG-V OH-I OH-V GMT PMT 6 EVs 4 3 side Year UG-I UG-V OH-I OH-V GMT PMT EVs Page 8 June th 3 European Electromobility Stakeholder Forum

10 Thank you for your attention.