摘要
随着电动汽车(electric vehicle,EV)普及度的不断提高,工业园区内的EV用户日益增多,其充放电行为给园区综合能源系统(park integrated energy system,PIES)的规划运行带来极大挑战。文中提出考虑EV充放电意愿的PIES双层优化调度。首先,基于动态实时电价、电池荷电量、电池损耗补偿、额外参与激励等因素建立充放电意愿模型,在此基础上得到改进的EV充放电模型;然后,以PIES总成本最小和EV充电费用最小为目标建立双层优化调度模型,通过Karush-Kuhn-Tucker(KKT)条件将内层模型转化为外层模型的约束条件,从而快速稳定地实现单层模型的求解;最后,进行仿真求解,设置3种不同场景,对比所提模型与一般充放电意愿模型,验证了文中所提引入EV充放电意愿模型的PIES双层优化调度的有效性和可行性。
With the increasing popularity of electric vehicles,the number of electric vehicle users in industrial parks is increasing,and their charging and discharging behaviors pose great challenges to the planning and operation of park integrated energy system(PIES).A two-layer optimal scheduling of PIES considering the charging and discharging willingness of electric vehicles is proposed.Firstly,a charging and discharging willingness model is established based on factors such as dynamic real-time electricity price,battery charge capacity,battery loss compensation,and additional participation incentives.An improved electric vehicle charging and discharging model is obtained on this basis.A two-layer optimal scheduling model is established with the goal of minimizing the charging cost of the car,and the inner model is transformed into the constraints of the outer model through the Karush-Kuhn-Tucker(KKT)condition,so as to quickly and stably solve the single-layer model.Finally,the simulation solution is performed,and three different scenarios are set up.The proposed model is compared with the general charging and discharging willingness model.The effectiveness and feasibility of the two-layer optimal scheduling of PIES proposed in this paper are verified.
作者
冯野牧
吕干云
史明明
朱志莹
王浩宇
陈光宇
FENG Yemu;LYU Ganyun;SHI Mingming;ZHU Zhiying;WANG Haoyu;CHEN Guangyu(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China;State Grid Jiangsu Electric Power Co.,Ltd.Research Institute,Nanjing 211103,China;State Grid Xuzhou Power Supply Company of Jiangsu Electric Power Co.,Ltd.,Xuzhou 221005,China)
出处
《电力工程技术》
北大核心
2024年第2期142-153,共12页
Electric Power Engineering Technology
基金
国家自然科学基金资助项目(51977103)。
关键词
电动汽车(EV)
充放电意愿
园区综合能源系统(PIES)
动态实时电价
双层优化调度
电池损耗补偿
electric vehicle(EV)
charging and discharging willingness
park integrated energy system(PIES)
dynamic time-of-use electricity price
two-layer optimal scheduling
battery loss compensation
