Research On Control Strategy Of Photovoltaic Power Generation System Based On Hybrid Energy Storage

With the global shortage of fossil energy and environmental pollution becoming increasingly prominent,the development of clean and renewable new energy has become the direction of future development and research.Solar energy is rich in reserves,with the advantages of small pollution,noise-free,low operating cost and so on.It has attracted more and more attention from countries around the world,and has become a large commercial scale.Due to the randomness and intermittence of photovoltaic power generation,as well as the unmeasurable load demand,this paper proposes how to use solar energy efficiently.Aiming at optimizing the power generation efficiency of photovoltaic system,this paper takes batteries and super capacitors as energy storage devices,and carries out research work in the control strategy and energy management strategy of the whole Bureau maximum power tracking of photovoltaic array.The main idea of this paper is to reduce the waste light as much as possible and improve the output power of photovoltaic array.In this paper,firstly,the wind solar complementary experimental system of Dalian University of technology is taken as the research object,the structure and functional characteristics of the system are analyzed,the photovoltaic array model is built based on the photovoltaic power generation theory,the mismatch characteristics of photovoltaic modules under the action of bypass diode and the influence of shadow on the output power of photovoltaic array with different topological structure are explored,and then a grid structure based photovoltaic array is selected Optimize the photovoltaic array,when there is small occlusion or current mismatch,always ensure the photovoltaic array to minimize power loss.At the same time,the failure mechanism of traditional maximum power tracking method under local shadow is analyzed,and a collaborative global optimization strategy based on adaptive particle swarm optimization algorithm and conductance increment method is designed to control the photovoltaic array to maintain the operation at the global maximum power point.In the aspect of energy storage design,in order to suppress the power fluctuation of DC bus,a battery with high energy density and a super capacitor with high power density are adopted.A battery SOC feedback regulation based optimal allocation rule of energy storage power is proposed.The controlstrategy can make the energy storage device play its own function and be fully protected,and effectively improve the performance of the optical storage system Yes.This paper verifies the effectiveness of the adaptive particle swarm optimization algorithm and the reliability of the energy storage management strategy through MATLAB simulation,improve the power output capacity of the photovoltaic system,expand the micro grid experiment teaching content,and provide reference for similar photovoltaic power generation system design.