Reactive Power Optimization Of The Distribution Network Including Distributed Generation

With the development of new energy the distributed generation gets more andmore attention gradually，the power is generated by clean energy and renewableenergy． It also can decrease power losses and improve the reliability andflexibility．So the technology of distributed generation is applied more and morewidely in the power system．With the distributed generation getting access to the grid，the power flow in network will change．The voltage and power losses will changetoo．It is necessary to control the distributed generation and distribute the reactivepower compensation equipment，which can make the system stable and economical．Ithas practical value to do research on reactive optimization in network includingdistributed generation．First，this paper introduces the background and the significance of the reactivepower optimization．it explains the research status at home and abroad and severalalgorithms which are commonly used for reactive optimization and theirperformance．Then this paper introduces several models of distributed generation andthe way which is used in the power flow calculation．we regard them as differentnodes according to different control mode．When the distributed generation gets intothe grid，the amplitude of voltage and network losses will change in differentsituation．Then，this paper introduces the basic theory and application of the geneticalgorithm．Co-evolution genetic algorithm is proposed based on the co-evolutiontheory．The paper introduces the application of the algorithm in the field of reactivepower optimization．The algorithm quality is improved compared with traditionalgenetic algorithm through establishing the model of population division．The calculatespeed becomes faster and quality becomes better．Finally，we obtain the satisfiedoptimization results with the method of the single point compensation by doingsimulation calculation according to different types of nodes．...