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.