Research and Application of Intelligent Algorithms for Reactive Power Optimization in Power Systems
This paper focuses on the key topic of reactive power optimization in power systems and deeply explores the research and application status of various intelligent algorithms therein.Firstly,it elaborates on the significant importance of reactive power optimization in power systems as well as the challenges faced,and analyzes the limitations of traditional methods.Subsequently,it introduces in detail the principles,improvement ideas and application examples of intelligent algorithms such as the particle swarm optimization algorithm,genetic algorithm,and artificial bee colony algorithm in reactive power optimization.Moreover,it compares and analyzes the advantages and disadvantages of each algorithm through different power system calculation examples.Overall,intelligent algorithms provide effective solutions for reactive power optimization in power systems.However,different algorithms have their own characteristics,and they need to be reasonably selected according to the actual situation to improve the economy,stability and power quality of power system operation.
power systemreactive power optimizationintelligent algorithm
万方数据
维普
