电力系统自动化2024,Vol.48Issue(14):28-41,14.DOI:10.7500/AEPS20230928002
计及循环寿命和电能量-调频市场出清的储能自调度策略
Self-scheduling Strategy of Energy Storage Considering Cycle Life and Clearing of Electric Power Energy-Frequency Regulation Market
摘要
Abstract
Exploring the operation strategies of energy storages participating in electricity markets and guiding energy storage to actively participate in electric power energy trading can alleviate the contradiction between the power balance and frequency regulation demand in the new power system.Therefore,a self-scheduling strategy of energy storage considering the cycle life and the clearing of the electric power energy-frequency regulation market is proposed.Firstly,aiming at the problem of"zero-interaction state"in the calculation of the cycle life of energy storage,an improved model based on equivalent cycle life(MECL)is designed,which can describe the operation loss of energy storages more accurately.Secondly,according to the improved MECL and the joint clearing rules of electric power energy-frequency regulation market,a double-layer Stackelberg game model is constructed to describe the self-scheduling operation strategy of energy storage.Then,according to the characteristics of the proposed model,the strong duality theorem(SDT),Karush-Kuhn-Tucker(KKT)conditions and Benders decomposition are used to decompose the model into main-problem and sub-problems for the iterative solution.Finally,through a comparative analysis of various scenarios,it is verified that the self-scheduling operation strategy considering the improved MECL can improve the operation income of the energy storage alliance participating in the electric power energy-frequency regulation market.关键词
储能/电能量市场/调频市场/循环寿命/自调度策略/Stackelberg博弈Key words
energy storage/electric power energy market/frequency regulation market/cycle life/self-scheduling strategy/Stackelberg game引用本文复制引用
陈泽宇,陈艳波..计及循环寿命和电能量-调频市场出清的储能自调度策略[J].电力系统自动化,2024,48(14):28-41,14.基金项目
国家自然科学基金资助项目(52077076) (52077076)
国网湖北省电力有限公司科技项目(521538230006). This work is supported by National Natural Science Foundation of China(No.52077076)and Science and Technology Project of State Grid Hubei Electric Power Co.,Ltd.(No.521538230006). (521538230006)