Research On Multi-objective Wind-fire Combined Environmental Economic Scheduling Based On Improved Fish Swarm Algorithm

Under the background of China’s "energy conservation and emission reduction",due to the shortage of energy and the increasingly serious environmental problems,the economic planning and dispatching mode with a single power generation cost as the objective function can no longer meet the needs of the great development of China’s "energy conservation and emission reduction".On this basis,considering energy conservation,energy consumption reduction and economic benefits,this paper first takes wind power plants Taking the minimum power generation cost and environmental treatment cost of thermal power plant as the objective function,a multi-objective function mathematical model is established;Secondly,an improved artificial fish swarm algorithm is proposed by introducing simulated annealing algorithm;Finally,taking Tongliao power grid in Inner Mongolia as a practical application case,the improved algorithm is applied to solve the optimal solution set considering the economy and environment during the wind,fire and power joint commissioning of the regional power grid.The main research contents are as follows:First to the traditional thermal power and the economic and environmental characteristics of the wind power research,set up a wind thermal power joint scheduling system,the objective function is minimum economic indicators and environmental indicators,clear treatment method,constraints and objective function for the subsequent application fish algorithm to solve Tongliao region of Inner Mongolia wind power combined environment provides the mathematical model of economic dispatch problem.Secondly,in order to improve the balance between exploration and development of artificial fish swarm algorithm and its accuracy,the simulated annealing algorithm is adopted to improve its convergence accuracy.In order to prevent premature development,the traditional artificial fish swarm optimization method is improved.Application of improved artificial fish algorithm,it can function in solving the optimal value of the test results are optimal solution,and at the same time be able to meet the requirements of the existing standards are given in the improved artificial fish algorithm of optimal solution,the result of the directly after verification to carry out the analysis comparison,can after preliminary of the improved artificial fish algorithm,A proof of better optimization solution and searching ability will be obtained.This provides an algorithm basis for solving the wind-thermal power joint scheduling problem in Tongliao region of Inner Mongolia.Finally,the improved artificial fish swarm algorithm is applied to solve the joint environmental and economic dispatching problem of wind,thermal and power in Tongliao region of Inner Mongolia.Based on the overall coordination degree function,the improved algorithm is applied to study the optimal dispatching problem of power grid in this region.In this paper,the optimal solution of power plant output,power generation cost and environmental management cost is solved by taking the practical optimization problem of combined power generation dispatching of thermal power and wind turbine in Pakistan power grid as a case.Compared with the results of the standard artificial fish swarm algorithm,it is proved that the improved algorithm saves 2.45 million yuan when calculating the total cost of10 thermal power units,the total cost of wind power in three wind farms decreases by450,000 yuan,the environmental governance cost is saved by 1.12 million yuan,and the total cost of the system is saved by 4.02 million yuan.The research results of this paper summarize the dispatching mode of Tongliao prefecture power grid,which provides a theoretical basis for the stability,economy and environment of power system.