Research On Capacity Optimization Of Multi-Energy Complementary Power Station

As the typical new energy source,wind and photovoltaic power generation have the characteristics of intermittence,fluctuation and instability,which makes it difficult to track load demand and abandon wind and light in the process of utilization.But wind energy and solar energy have good complementary characteristics in time scale.By combining energy storage system,or other conventional energy units to form a combined power generation system,it can achieve the goal of smoothing power output,reducing investment costs and improving power supply reliability.This paper takes a mining subsidence area as the background.After formulating reasonable dispatching strategy and optimization strategy.The improved particle swarm optimization(IPSO)algorithm is used to study the capacity allocation of wind-solar storage combined power generation system.1)This paper analyses the research background and significance of the multi-energy complementary system,expounds the current domestic and foreign research status.In this paper,the structure of wind-solar-storage multi-energy complementary power generation system based on AC bus is proposed,and the generation principle and influencing factors of each unit in the system are analyzed.The Weibull distributed wind speed model and solar radiation intensity model with two parameters are established.2)The power output models of wind and photovoltaic power generation units,as well as the optimization models and constraints aiming are established.The energy storage system and other power generation units are reasonably scheduled,and the corresponding scheduling strategies are put forward.On the basis of particle swarm optimization,the improved learning factor particle swarm optimization algorithm is adopted to optimize and analyze the above model based on local meteorological data and other economic parameters,because of its low diversity in the early search stage and slow convergence in the late search stage.3)The optimization results are analyzed,and different schemes are compared in terms of peak shaving capacity,abandonment of wind and light,etc.The results show that,in the above-mentioned system,with the economic objective function and constraints,the optimal capacity ratio can be obtained,and each unit of the system can make reasonable energy dispatch according to the dispatching strategy.Through the comparison of the schemes,it shows that the wind and solar resources have good complementary characteristics and the energy storage devices play a great role in peak shaving and resolving the problem of renewable energy consumption.