Optimal Scheduling Of Water Light Thermal Power Combination System Based On Particle Swarm Optimization Algorithm

With the gradual depletion of fossil fuel resources and the increasingly serious problem of environmental pollution,human beings are in urgent need of economic and social sustainable development.Solar energy as a clean,non polluting,resource rich renewable energy,received more and more people's attention and favor.Different from the traditional power generation,photovoltaic power generation has the advantages of convenient layout and quick construction,but its output power has the characteristics of randomness,volatility,periodicity and intermittent.So the large-scale grid connected photovoltaic power system dispatching will give the whole power system bring new demands and challenges.Therefore,on the connection of the photovoltaic traditional hydrothermal power system scheduling problem research has important theoretical significance and practical value.With the continuous development of hydroelectric energy,because of its characteristics of it can not only make full use of river hydropower resources,improve the ecological environment,but also takes into consideration of flood control and other requirements for comprehensive utilization of,promote the sustainable development of the whole watershed,it has received great attentions in the study of optimal scheduling.This article through using the characteristics of flexible scheduling of cascade hydropower stations and can play an important role of peak and frequency modulation in power grid,studying on optimal operation of cascade hydropower stations as the core.Firstly,the relevant parameters of cascade hydropower station and the principle and output characteristics of photovoltaic power generation are analyzed and discussed.Secondly,the improved particle swarm optimization algorithm and the processing method of multi objective and multi constraint optimization problem is studied.Finally,the long-term optimal operation of cascade hydropower stations is studied,and the optimal operation of hydropower,photovoltaic and thermal power system is discussed.This paper discusses the relevant problems of optimal operation of cascade hydropower stations,uses the maximum annual generating capacity of cascade hydropower stations as the objective function,builds a mathematical model of long term optimal operation of cascade hydropower stations,and applies the improved particle swarm optimization algorithm in which adopt convergence factor to solve.Through the actual calculation,the model can reduce the water consumption,and effectively improve the power generation of the cascade hydropower station.After analyzing of the photovoltaic access cascade hydropower and thermal power system,according to the characteristics of randomness,volatility,periodic and intermittent,establishing the optimal operation model of water,light and thermal power system.In the case of ensuring the maximum power output of photovoltaic power generation,minimum thermal power generation,and the minimum power flow,the grid load is satisfied,in order to reduce the randomness and volatility of photovoltaic power generation output.After actual calculation by introducing the convergence factor of the improved particle swarm algorithm,finding that this model gives play to the flexible characteristics of hydropower station scheduling,solving the random nature of photovoltaic power generation,completing a variety of power generation coordination scheduling,to provide a new research idea for new energy sources.