Research On Reactive Power Optimization Of Distribution Network With Distributed Photovoltaic

Along with the depletion of primary fossil energy and increasingly serious environmental pollution,the use of clean renewable energy such as solar power has become an inevitable trend in global development,and distributed photovoltaic power generation is increasingly dominating the power system.Due to the influence of environmental factors,distributed photovoltaic power generation is intermittent and volatile.With the increasing scale of distributed photovoltaic grid connection,it will inevitably bring great pressure to the traditional distribution network,and will also have a direct impact on the topology and operation mode of the distribution network.The reasonable allocation of reactive power is an important condition in solving reactive power optimization,which can effectively ensure the safe and economic operation of the system.Therefore,the research on reactive power optimization of distributed PV grid-connected has great value and significance both in theory and practice.In this paper,we briefly analyze the power generation principle and system classification of distributed PV,and analyze the impact it will have on network tidal current distribution,node voltage phase volume,and network loss from the perspective of distributed PV grid connection,and use the forward back substitution method as the tidal current calculation method,and analyze under different capacity,different location,and different number of schemes by performing arithmetic simulation on the IEEE33 node system model.The impact on the system network loss and voltage deviation.Based on the selection of reactive power compensation nodes,the performance of traditional reactive power compensation devices and modern reactive power compensation devices is compared and analyzed,and the reasons for choosing static reactive power generator as the compensation device are determined.improve the convergence speed and the optimization-seeking ability of the algorithm.Three different PV inverter regulation control strategies are compared,and the corresponding improvement measures are proposed.The reactive power optimization model of distributed photovoltaic distribution network is established,with the minimum loss and voltage deviation as the optimization objective function,and the voltage amplitude exceeding the limit as the punishment.Under the condition of satisfying power flow constraints,based on the improved particle swarm optimization,the power distribution network model of IEEE33-node system is simulated and checked.Compared with the simulation results of single-objective function optimization and normalized multiobjective function optimization,the network loss and voltage quality of the system are obviously improved,which proves that the convergence and optimization ability of the improved algorithm are improved,and also proves that the voltage regulation strategy of distributed photovoltaic and static var generator in this paper is reasonable and correct.