Research On Load Scheduling Of Power System Based On Improved Dragonfly Algorithm

In the past few decades,as the use of fossil fuels has expanded,the social process of mankind has advanced rapidly.Although the development and utilization of energy has rapidly promoted human life,it has not only enjoyed the dividends brought by it,but also suffered the negative consequences of excessive use of fossil fuels:environmental degradation and resource scarcity.Therefore,in order to reduce energy consumption and emissions,in the daily general thermal power generation operation,seeking the optimal scheme of power system power generation economic load dispatch can effectively improve the operating efficiency of the system,thereby reducing the use of fuel and reducing the emission of polluting gases.This will be a research work that is very meaningful for social life.This paper aims to investigate power system load dispatching and proposes two improved algorithms that are applied to practical engineering problems related to power system load dispatching.Firstly,some of the existing advantages and disadvantages of the dragonfly optimization algorithm(DA)are analyzed.Then,a series of improvement measures are proposed to improve DA according to the shortcomings of DA,and an improved dragonfly optimization algorithm(GO-DA)based on locust algorithm is proposed based on these strategies.Based on multiple sets of test functions,the proposed algorithm is comprehensively tested for performance,and the rationality of the proposed algorithm is verified by comparing a variety of algorithm data.It provides an algorithm basis for subsequent application to economic load dispatching in power system.In order to further realize the proposed GO-DA optimization algorithm,the proposed GO-DA optimization algorithm is applied to the problem of economic load dispatching of power system.By reasonably handling the constraints of economic load scheduling problems,GO-DA is applied to economic load scheduling problems.The GO-DA algorithm is applied to the two test systems to solve the corresponding economic load scheduling problem,and the algorithm results in the horizontal and vertical directions are compared to prove the feasibility of the application.However,because the proposed GO-DA cannot solve and optimize multiobjective problems.Therefore,in view of the defect that GO-DA cannot solve the multiobjective optimization problem,a variety of reasonable improvement strategies are proposed to be integrated into the GO-DA algorithm,so as to propose a multi-objective improved dragonfly optimization algorithm based on locust algorithm(MOGO-DA).By introducing CEC2009 multi-objective test function group to verify the performance of the proposed MOGO-DA algorithm,and comprehensively comparing the multiple multi-objective verification index scores of Pareto frontier obtained by multiple multiobjective optimization algorithms,the rationality and superiority of the proposed algorithm are reflected.This paper provides an algorithm basis for solving the multiobjective environmental economic load dispatching(MOEELD)problem of power system.Finally,a mathematical model of environmental economic load scheduling is proposed.The goal is to achieve both the economic and environmental goals,and to seek a solution that can reasonably balance the two goals.The proposed MOGO-DA algorithm is applied to this engineering problem.The MOGO-DA algorithm is applied to the test system of Dynamic 10 Unit to solve the problem and provide its reasonable MOEELD solution,and finally the horizontal and longitudinal algorithm results are compared to prove the feasibility of the application.