Research On Microgrid Energy Dispatch Based On Improved Whale Optimization Algorithm

As the global warming trend intensifies,the development of green power generation is emphasizing.The current pressures of energy crisis and environmental pollution have prompted people to pursue a more efficient,more flexible and cleaner form of power grid.However,new energy power generation has strong discontinuity and volatility,which is not conducive to the safety and stability of the power grid,while the coordination of energy dispatching technology is very necessary.In this situation,the energy dispatch of microgrids has become a very important research direction.The main research directions of the thesis include the following three points:First,based on the two goals of economic benefit and environmental protection,a set of microgrid models that consider wind power generations,photovoltaic power generations,fuel cells,micro gas turbines,and energy storage devices are established,using the comprehensive economic benefits and the comprehensive benefits of environmental protection as the objective function.,The use of equipment output power limit,equipment output power ramp rate limit and line transmission power limit as constraints as a microgrid mathematical optimization model.Secondly,based on the advantages and disadvantages of traditional intelligent optimization algorithms,the whale optimization algorithm(WOA)is used as the optimization algorithm.After analyzing the characteristics of the whale optimization algorithm aiming at the disadvantage of the poor global search ability of the whale optimization algorithm mutation operator is proposed as a means to improve the whale optimization algorithm.Finally,a series of improved whale optimization algorithms based on whale optimization algorithm are proposed,which are optimized by mutation operators such as Cauchy mutation,Gaussian mutation,Levy mutation,as well as chaotic mutation.While these optimizations maintain the fast convergence speed of the whale optimization algorithm,it also makes up for the weak global search ability of the whale optimization algorithm.Improving the practicality of the algorithm,these tests effectively support the solution of the microgrid mathematical optimization.Finally,according to the established comprehensive equivalent benefit objective function,this paper uses an improved whale optimization algorithm,based on a set of microgrid dispatching strategies,and optimizes the energy dispatch of the microgrid based on the state of charge.And through the comparison of whale optimization algorithm with particle swarm optimization(PSO),genetic algorithm(GA),and comparison between improved whale optimization algorithm and whale optimization algorithm,the reliability and practicability of the improved whale optimization algorithm are verified.The final result proves that the improved whale optimization algorithm is very effective in the optimization of microgrid scheduling.While the convergence speed is greatly improved,the optimization accuracy is further improved.