Research On Multi-objective Reactive Power Optimization Of Distribution Network With Distributed Renewable Energy Generation

The development of modern power systems tends to be big data,cross-regional,diversified,and intelligent.Distributed renewable energy generation(DREG)is integrated into the grid on a large scale,making the reactive power optimization technology of the distribution network more efficient.The complexities of the land have brought more and more serious impacts on the safe and stable operation of the power system and the economical and efficient operation mode.At present,DREG has made outstanding achievements in the research of reactive power optimization systems for distribution networks,the manufacture of related control equipment,and the establishment of standards,providing a large amount of technical support for the reactive power optimization problem of complex and variable DREGs connected to the power grid.However,as the penetration of DREG continues to increase,the operation and management of the distribution network has brought severe challenges:the rational allocation of the DREG's capacity and location,and the improvement of environmental pollution,reducing costs and improving intelligent management.Therefore,research on the significance of DREG's reactive power optimization technology for distribution networks focuses on the current situation and benefits.In this paper,based on swarm intelligence algorithm and Pareto optimal,a multi-objective hybrid big bang-big crunch optimization algorithm is proposed,and the multi-objective reactive power optimization problem of distribution network containing DREG is deeply studied.The main contents are as follows:Firstly,the multi-objective optimization problem is a multi-constraint,multi-extreme,nonlinear complex problem.Using chaos search technology and particle swarm optimization algorithm,a multi-objective hybrid big Bang algorithm(MOHBB-BC)based on Pareto optimization is proposed.The MOHBB-BC algorithm introduces chaotic search technology to improve the diversity of populations and enhances the ability to exploit the population.When the debris solution is generated,the individual and new ideas of the particle swarm algorithm are used to guide the fragment solutions to the local optimum,and the global search capability of the debris solution isimproved.Convergence rate;The improved NSGA-II cyclic crowded distance sorting method and adaptive mesh algorithm make the MOHBB-BC algorithm better approach the real Pareto frontier and improve the Pareto solution's diversity and uniformity.Secondly,using matlab software,the MOHBB-BC algorithm and the typical NSGA-II,MOPSO,RM-MEDA algorithm through the typical test function ZDT1 ~ZDT4 simulation experiments,the simulation results show that the MOHBB-BC algorithm has better diversity and The uniformity of the distribution validates the outstanding performance of the MOHBB-BC algorithm and can more effectively solve complex multi-objective optimization problems.Thirdly,comprehensive configuration of distributed renewable energy and reactive power compensation capacitor capacity and position,considering the active power loss,static voltage stability and voltage deviation of three factors,multi-objective distribution network DREG to establish the mathematical model of reactive power optimization;at the same time,in order to make better use of information solutions so as to avoid the occurrence of adverse debris,debris solution or make cross-border power flow calculation convergence,constructed an adaptive penalty function strategy,effectively grasp the punishment,the potential value of comprehensive utilization of bad pieces of solutions,to improve the search capability of MOHBB-BC.Finally,taking IEEE14 and IEEE30 as examples,on the matlab platform,using MOHBB-BC algorithm to optimize,analyze the influence of the capacity and position of DREG and reactive compensation capacitors on the distribution network.Simulation results show that the relationship between active power loss,static voltage stability and voltage deviation is conflicting and contradictory.Distributed renewable energy can be connected to the power grid,which can effectively reduce active loss,improve power quality and voltage stability.At the same time,the MOHBB-BC algorithm obtains multiple sets of Pareto optimal solutions to meet the requirements of different realistic conditions for decision makers,and it is verified that MOHBB-BC has better rationality,practicability and superiority.