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计及灵活性供需平衡的储能优化配置 被引量:6

Energy Storage Optimal Allocation Considering Flexibility Supply and Demand Balance
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摘要 针对因新能源在电力系统中占比不断提升而带来的电力系统规划和运行过程均需提高供需灵活性的问题,提出了兼顾灵活性和经济性的电力系统储能配置方法。首先,在源荷两端灵活性需求分析的基础上,从电力电量平衡角度对系统灵活性进行了评估;然后,考虑风光出力的不确定性、相关性,利用Frank-Copula函数场景生成方法得到风光联合出力的典型场景;最后,建立了双层优化模型。在模型中,上层模型用于从储能投建经济性最优的角度制定储能的配置方案;下层运行优化模型用于从综合运行成本最优的角度制定优化调度方案。利用上、下层模型对方案进行不断迭代优化,最终得到兼顾经济性和灵活性的最优储能配置方案。以改进的IEEE-RTS 24节点系统为算例进行验证,结果表明所提方法在求解储能配置容量方面具有较好的经济性和灵活性。 A method for the optimal configuration of energy storage in power systems that balances flexibility and economic considerations has been proposed to address the increasing need for supply-demand flexibility in the planning and operation process of power system due to the growing proportion of new energy sources in the electricity system.Firstly,the flexibility requirements at both ends of the power supply and demand were analyzed to evaluate the system's flexibility from the perspective of power balance.Then,considering the uncertainty and correlation of wind and solar power output,the Frank-Copula function scenario generation method was used to obtain typical joint scenarios of wind and solar power output.Finally,a two-layer optimization model was established.In the model,the upper-level model was used to develop the optimal energy storage configuration plan from an economic perspective,and the lower-level operating optimization model was used to develop the optimal dispatch plan from the perspective of optimal comprehensive operating costs.The scheme was iteratively optimized using the upper and lower-level models to obtain the optimal energy storage configuration plan that balances economic and flexibility considerations.The proposed method was validated using the improved IEEE-RTS 24-node system as an example,and the results show that the method has good economic and flexibility performance in determining the energy storage configuration capacity.
作者 王成磊 唐岚 周子超 濮永现 耿樾 赵鑫 WANG Chenglei;TANG Lan;ZHOU Zichao;PU Yongxian;GENG Yue;ZHAO Xin(School of Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China)
出处 《电力科学与工程》 2023年第4期1-11,共11页 Electric Power Science and Engineering
基金 云南省重大科技专项计划(202002AF080001)。
关键词 电力系统稳定 风光联合出力 可再生能源 储能 配置 优化 power system stability joint wind-solar power output renewable energy energy storage configuration optimization
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