Reseach On Distribution Network Reconfiguration Containing Distributed Generation

At present,energy scarcity and environmental pollution are increasingly serious problems facing the world.Distributed power generation(DG)has attracted great attention from various countries because of its flexible power generation mode,less pollution to the environment,more renewable energy and less investment.However,due to the large number of distributed generation access,not only makes the power grid from passive network to active network,but also has a serious impact on the network loss and power quality and other aspects,such as the active power loss of the network,voltage quality,power supply reliability and so on.Therefore,the research on distribution network reconfiguration with distributed generation has important theoretical significance and practical value.This paper mainly focuses on the research and optimization of distribution network reconfiguration algorithm with distributed generators.Firstly,according to the research status of distribution network reconfiguration at home and abroad,the commonly used distribution network reconfiguration algorithms are introduced,and the advantages and disadvantages of various algorithms are briefly analyzed.Then,the classification of several common distributed generators and their nodes is introduced,and the impact of distributed generators on distribution network after being connected to the grid is analyzed.Secondly,the two traditional bio-heuristic algorithms,particle swarm optimization algorithm and Beetle Antennae Search algorithm are improved.The inertia weights of the algorithm are improved for the shortcomings of particle swarm optimization.Particle swarm algorithm.In this algorithm,as the number of iterations increases,the inertia weight also increases nonlinearly,which makes the algorithm achieve the desired effect.Aiming at the shortcomings of algorithmic premature phenomenon and weak global optimization ability,theBeetle Antennae Search algorithm needs a non-linear attenuation strategy of step size,which can better balance the global and local optimization ability of the algorithm.Two test functions perform performance tests on the improved Beetle Antennae Search algorithm.Thirdly,the power flow calculation model with distributed power supply is established.The minimum active loss of the network is used as the optimization target,the constraint conditions are set,and the power flow calculation is performed on the distribution network with distributed power supply by using the forward pushback method.The access of the distributed power supply can reduce the active power loss of the system and increase the node voltage of the system.Finally,this paper takes the standard IEEE33 node system as an example,and uses the two improved algorithms proposed in this paper to reconstruct the distribution network,and divides the experiment into distributed power supply and no distributed power supply and changes the distributed power access.There are three situations.The simulation experiments show that the two improved algorithms proposed in this paper can effectively reduce the active loss of the network and increase the node voltage in the distribution network with distributed power supply,verify the effectiveness of the algorithm,and the improved Beetle Antennae Search algorithm can maintain a fast convergence speed under the characteristics of global optimization,and effectively ensure the stable economic operation of the system.