Distribution Network Reconfiguration And Optimization Algorithm With Micro-grid

The micro-grid is composed of distributed generation and load,which can be regarded as distribution network with distributed generation(DG).As a powerful supplement to the traditional power grid,the micro-gird makes the complex structure of the distribution network from the single source radiation structure to the multiple power points.Through open or close operation of interconnection switch and section switch in the distribution network,reconfiguration operation can adjust the operation structure of the power grid,in order to achieve load balance,reduce power loss and improving voltage quality.Study on optimization of distribution network reconfiguration with micro-grid,is in satisfying all constraints,by determining the reasonable allocation of switching strategy and distributed power optimization algorithm,the optimal value of single or multiple objective function,thus improving the power grid operation of the economy and reliability.In this paper,we study the following two main problems of distributed generation optimization and load uncertainty reconfiguration,the main job is as follows:In order to solve the problem of distribution network reconfiguration and optimization,a static network reconfiguration model is established.The model takes the active power loss reduction as the single objective function.According to voltage stability index,the candidate position of DG is determined,and then through the quantum chicken swarm optimization algorithm(QCSOA)to determine the switching operation sequence and candidate DG capacity,in order to get the optimal reconfiguration strategy of static model.Among them,QCSOA is combined of quantum computation and chicken swarm optimization algorithm(CSOA),and the quantum probability amplitude as individual position encoding,update the individual position by changing the rotation angle of quantum rotation gate,quantum phase change of a single bit to achieve two position while moving,double search space,improves the optimization efficiency of the algorithm.IEEE33 and IEEE69 experimental results show that compared with other optimization algorithms,the proposed algorithm can effectively reduce the active power loss and improve the stability of voltage.In order to solve the problem of distribution network reconfiguration optimization problem,a dynamic network reconfiguration model is established.The model takes the active power loss,switching operation cost and voltage deviation as the multiple objective functions.For the uncertainty of the load,the load of multiple time sections in a week is studied,and the result of the load clustering is used as a criterion to judge whether the network reconfiguration operation is carried out.According to the comparison between the daily reconfiguration scheme and the hourly reconfiguration scheme,the effectiveness of the cluster reconfiguration scheme is verified.QCSOA,which is based on the elite selection,introduces the non-dominated solutions,and uses the Pareto front to show the optimal solution of the individual under the multi-objective function.In the process of optimization,the optimal individual is selected to guide the population evolution from the individual and the global optimal solution.The experimental results show that the QCSOA based on the elite selection is more uniform and extensive than the QCSOA,and the optimization effect is better.Finally,the network reconfiguration system is designed and implemented,this system can reconstruct the static network and the dynamic network reconfiguration,and the optimization strategy is presented.