Research of photovoltaic prediction compensation control strategy of hybrid renewable energy microgrid

In order to solve the problem of photovoltaic prediction and reduce the influence of photovoltaic prediction error on the operation strategy formulation of micro-grid, this paper uses energy storage equipment to track and compensate photovoltaic output, so as to reduce the error between actual photovoltaic output power and predicted power. In this paper, a photovoltaic prediction compensation strategy based on opportunity constraint programming is proposed. The prediction error is treated as a random variable, and a mathematical model with the combined output of solar-storage as the objective function is established according to the stochastic process theory. The stochastic simulation method is used to deal with the random variables, and the improved particle swarm optimization algorithm is used to solve the model, so as to obtain the optimal charge-discharge strategy of energy storage and the controllable scheme of combined output of optical storage.