Research On Reactive Power Optimization Of Distribution Network With Distributed Generation

In some areas with abundant natural energy,the wide application of distributed generation has added a new color to the traditional generation mode.The economic development and human life are both profitable.Just as any new technology is a double-edged sword,the interconnection of distributed generation also brings about corresponding drawbacks,which changes the network topology and parameters after access.The original radial system becomes a multi-power network,the direction of power flow becomes bidirectional,and the network loss and power quality change simultaneously,which increases the difficulty of calculation.Based on the above factors,it is of practical significance to study the reactive power optimization of distributed generation grid-connected and the appropriate optimization algorithm.The main research content of this paper is reactive power optimization of distribution network with distributed generation.Firstly,the flow of power flow calculation method for distribution network is described in detail.Secondly,by changing the access scale and different wiring to compare the impact of distributed generation on system voltage and network loss after grid-connected,the analysis example and results show that distributed generation can reduce the active power loss of the system and prevent the voltage of some nodes of the system from exceeding the upper limit.Particle swarm optimization(PSO-IDE)is easy to search for stagnation in local optimal solution.Differential evolution(DE)has a strong ability to retain the diversity of population in the later optimization stage.Based on the advantages and disadvantages mentioned above,a hybrid algorithm(PSO-IDE)is obtained by combining PSO with IDE.A mathematical model of reactive power optimization is constructed based on the improved forward and backward substitution method.The objective function is the network loss of the system.A 33-node system is taken as an example.Particle swarm optimization(PSO),differential evolution(DE),particle swarm optimization(PSO)and improved differential algorithm(MDA)are used to simulate the numerical examples.The convergence curves of the three algorithms and the optimal comparison graphs of node voltage before and after Pu are obtained.After analysis,it is concluded that the improved particle swarm optimization hybrid differential algorithm has better convergence effect than the two algorithms alone,and can solve the reactive power optimization problem of distribution network with DG,and improve the quality of power grid.