计及循环寿命和电能量-调频市场出清的储能自调度策略OA北大核心CSTPCD
Self-scheduling Strategy of Energy Storage Considering Cycle Life and Clearing of Electric Power Energy-Frequency Regulation Market
探究储能参与电力市场的运行策略、引导储能积极参与电能量交易,能够有效缓解新型电力系统的电量平衡和调频需求矛盾.为此,提出了考虑循环寿命和电能量-调频市场出清的储能自调度策略.首先,针对储能循环寿命计算过程中出现的"零交互状态"问题,设计了改进的等效循环寿命模型(MECL),能够更准确地描述储能的运行损耗.其次,根据改进的MECL和电能量-调频市场联合出清规则,构建双层Stackelberg博弈模型来描述储能自调度运行策略.再次,根据所提模型的特点,结合强对偶定理(SDT)、KKT(Karush-Kuhn-Tucker)条件和Benders分解将所提模型分解为主、子问题进行迭代求解.最后,通过多种情景对比分析,验证了考虑改进MECL的自调度运行策略能够提升储能联盟参与电能量-调频市场的运行收益.
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.
陈泽宇;陈艳波
新能源电力系统全国重点实验室(华北电力大学),北京市 102206
储能电能量市场调频市场循环寿命自调度策略Stackelberg博弈
energy storageelectric power energy marketfrequency regulation marketcycle lifeself-scheduling strategyStackelberg game
《电力系统自动化》 2024 (014)
28-41 / 14
国家自然科学基金资助项目(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).
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