考虑多交易场景协调的光储联合系统优化配置模型

Optimal Configuration Model of Photovoltaic and Energy Storage Joint System Considering Coordination of Multiple Transaction Scenarios

随着我国可再生能源的快速发展和电力体制市场化改革的不断推进,电力系统中光伏出力、市场调频及用户电力需求容量不断增加,多场景下的协调优化对电力市场交易的开展带来新的挑战。通过对光储参与电能交易、调频、调峰等多种应用场景时所获效益进行分析,建立一种基于多场景联合的优化模型,结合支持向量机和模型预测控制方法对目标函数进行求解,依据PJM市场规则进行多种市场交易的用户侧光储系统经济效益寻求。通过对中国某地区的实际光储系统交易数据进行仿真分析,验证光储系统联合优化时的经济性远高于参与多个单独应用场景后的叠加经济性,在促进可再生能源消纳、提高交易效率和推动电力市场化改革方面具有现实意义。

With the development of the renewable energy sources and the continuous advancement of the reform of power marketization in China,photovoltaic power generation,frequency adjustment and user power demand capacity in power systems have increased.The coordination and optimization in multiple scenarios brings new challenges to the power market transaction.This article analyzes the benefits of photovoltaic energy storage participation in electrical energy transactions,frequency regulation,peak adjustment and other application scenarios.We establish a optimization model based on multiple transaction scenarios.The target function is the combination with the support vector machine and model prediction control method,calculating the economic benefits of user-side photovoltaic energy storage systems based on PJM market rules,with a simulation analysis of the transaction data of the actual photovoltaic energy storage system in a certain region in China.The operating cost of the combined optimization of the photovoltaic energy storage system is lower than the operating cost of the superposition of multiple individual application scenarios,which is of great significance in promoting renewable energy consumption,improving transaction efficiency,and promoting the reform of the power market.