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Estimating Risk-aware Flexibility Areas for Electric Vehicle Charging Pools via AC Stochastic Optimal Power Flow
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作者 Juan S.Giraldo Nataly Bañol Arias +3 位作者 Pedro P.Vergara Maria Vlasiou Gerwin Hoogsteen Johann L.Hurink 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2023年第4期1247-1256,共10页
This paper introduces an AC stochastic optimal power flow(SOPF)for the flexibility management of electric vehicle(EV)charging pools in distribution networks under uncertainty.The AC SOPF considers discrete utility fun... This paper introduces an AC stochastic optimal power flow(SOPF)for the flexibility management of electric vehicle(EV)charging pools in distribution networks under uncertainty.The AC SOPF considers discrete utility functions from charging pools as a compensation mechanism for eventual energy not served to their charging tasks.An application of the AC SOPF is described where a distribution system operator(DSO)requires flexibility to each charging pool in a day-ahead time frame,minimizing the cost for flexibility while guaranteeing technical limits.Flexibility areas are defined for each charging pool and calculated as a function of a risk parameter involving the uncertainty of the solution.Results show that all players can benefit from this approach,i.e.,the DSO obtains a riskaware solution,while charging pools/tasks perceive a reduction in the total energy payment due to flexibility services. 展开更多
关键词 Electric vehicle flexibility management stochastic optimal power flow(SOPF) risk awareness compensation mechanism
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