Optimization Strategy for Power Sale of Photovoltaic Plants with Energy Storage System

In order to improve the economy of electricity sales photovoltaic power plants equipped with energy storage system, this paper proposes an optimization power sale strategy which takes into account the prediction of price peak time and price fluctuation. First, according to the historical electricity price data, the peak time of electricity price is predicted. Then, a long short term memory neural network is used to predict the electricity price at off-peak times. With the goal of maximizing the revenue, the optimization strategy and method of power sale are established. Finally, the power generation data and electricity price data of a photovoltaic power plant in Australia are used to conduct a simulation test. After the implementation of optimization, the monthly revenue has been significantly improved. Compared with the existing strategies, the proposed strategy has obvious advantages.