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

Abstract

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.

Keywords

• customer-side photovoltaic energy storage system
• peak shaving
• frequency regulation
• economic benefit
• variate prediction