Optimalallocation Of Distributed Generation Based On Multi-objective Improved Artificial Searching Swarm Algorithm

In recent years,along with the development of society and economy,electric power is needed too much.The problems of energy crisis,environmental pollution,sustainable development have turned into the focus of attention.Distributed generation with its energy saving and environmental protection,flexible configuration,high energy efficiency has gradually become a hotspot of oversea and domestic scholars.The distributed generation integrated into power distribution network will bring many aspects of impact,rational planning of its location and capacity is needed,therefore the research on the optimal allocation of distributed generation problems is of great importance.This paper introduces the research status of distributed generation first,then several typical distributed generation and the influence of distributed generation on the operation of distribution network is analyzed in detail,on this basis,starting from the economic and technical aspects,a multi-objective optimal allocation model with the objective functions of the total cost of the distributed generation,the system active power loss and the node voltage offset is established.Then,a novel intelligent optimization algorithm--Artificial Searching Swarm Algorithm is introduced briefly,due to this algorithm cannot be directly used to solve the multi-objective optimization problem,a kind of Multi-objective Improved Artificial Searching Swarm Algorithm is put forward,multi-objective theory is introduced into this algorithm,the important problems of the construction and maintenance of the external archive set,the selection of the optimal guide individual and the improvement of three behavior rules are analyzed,which making it solve the multi-objective optimization problem.Then three typical test functions are used to test the performance of the algorithm,and the optimization results are compared with Multi-objective Particle Swarm Algorithm,which proves the convergence and feasibility of the proposed algorithm.In the MATLAB 2014 b environment,the IEEE14 and IEEE33 node distribution network as well as an actual network are used as simulation examples,the Multi-objective Improved Artificial Searching Swarm Algorithm and Multi-objective Particle Swarm Optimization Algorithm are used for solving the optimal allocation model of distributed generation,and the simulation results are compared,the effectiveness and feasibility ofMulti-objective Improved Artificial Searching Swarm Algorithm for solving the model and good applicated value are verified.