Estimating Risk-aware Flexibility Areas for Electric Vehicle Charging Pools via AC Stochastic Optimal Power Flow

作     者：Juan S.Giraldo Nataly Bañol Arias Pedro P.Vergara Maria Vlasiou Gerwin Hoogsteen Johann L.Hurink Juan S.Giraldo;Nataly Bañol Arias;Pedro P.Vergara;Maria Vlasiou;Gerwin Hoogsteen;Johann L.Hurink

作者机构：Energy Transition Studies GroupNetherlands Organisation for Applied Scientific Research(TNO)Amsterdam1043 NTThe Netherlands Department of Electrical EngineeringMathematics and Computer ScienceUniversity of TwenteEnschede7522 NBThe Netherlands Intelligent Electrical Power Grids GroupElectrical EngineeringMathematics and Computer ScienceDelft University of TechnologyDelft2628 CDThe Netherlands 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2023年第11卷第4期

页      面：1247-1256页

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 08[工学] 082303[工学-交通运输规划与管理] 0837[工学-安全科学与工程] 0811[工学-控制科学与工程] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：financially supported by the Netherlands Enterprise Agency(RVO)–DEI+project 120037“Het Indi?terrein:Een slimme buurtbatterij in de oude weverij” 

主　　题：Electric vehicle flexibility management stochastic optimal power flow(SOPF) risk awareness compensation mechanism 

摘      要：This paper introduces an AC stochastic optimal power flow(SOPF)for the flexibility management of electric vehicle(EV)charging pools in distribution networks under *** AC SOPF considers discrete utility functions from charging pools as a compensation mechanism for eventual energy not served to their charging *** 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 *** areas are defined for each charging pool and calculated as a function of a risk parameter involving the uncertainty of the *** 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.