Journal of Electrical Engineering ›› 2022, Vol. 17 ›› Issue (3): 210-218.doi: 10.11985/2022.03.025

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Stochastic Day-ahead Scheduling Optimization for Wind-PV-ES Microgrid Considering Battery Life Loss

ZHAO Yi1(), FANG Chen2(), FENG Donghan1(), LI Hengjie1,3, SHI Shanshan2, ZHOU Yun1()   

  1. 1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240
    2. East China Electric Power Test and Research Institute Co., Ltd., Shanghai 200437
    3. School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050
  • Received:2021-08-22 Revised:2022-03-24 Online:2022-09-25 Published:2022-10-28
  • Contact: ZHOU Yun E-mail:Yi.Zhao.sjtu@sjtu.edu.cn;fangc02@gmail.com;seed@sjtu.edu.cn;yun.zhou@sjtu.edu.cn

Abstract:

With the ‘carbon peak’ and ‘carbon neutrality’ goals proposed, the power system based on renewable resources has received extensive attention, and the wind-PV-ES(Energy storage) microgrid is the typical scenario. The piecewise linear life loss model is established by studying the life loss characteristics of batteries. Combined with the role of energy storage technology in improving the wind and solar power consumption and reducing carbon emissions, the economic effect of battery on the microgrid is added to the wind-PV-ES microgrid scenarios. Regarding the interaction cost of the grid, wind and solar abandonment cost, shaving load cost, carbon emissions cost, and battery life loss cost as the objective function, the day-ahead scheduling model of entire wind-PV-ES microgrid is linearized. The case is used to analyze that the introduction of batteries can effectively increase the battery life and improve the economy of the microgrid by regulating the charging and discharging actions of batteries.

Key words: Wind-PV-ES microgrid, wind-PV accommodation, battery life loss, stochastic scheduling, linearization

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