Reactive Power Optimization Of Distributed Power Distribution Network Based On Improved Particle Swarm Optimization Algorithm

With the steady advancement of the national policy of "carbon peaking and carbon neutrality",distributed power sources mainly wind power and photovoltaic gradually occupy an important position in energy supply,and the country has achieved rapid development in the field of photovoltaic power generation and wind power generation.While solving the environmental pressure and energy consumption demands of users,the negative impact of randomness and volatility of distributed power supply cannot be ignored,which changes the direction of power flow,easily causes serious voltage deviation and voltage fluctuation in the junction point and its nearby nodes,resulting in node voltage exceeding the national standard and difficult to maintain the normal and stable operation of user equipment.The safety and stability of the distribution network will be seriously affected.Aiming at the existing problems and challenges,this paper proposes the reactive power optimization strategy of distributed power distribution network based on the improved particle swarm optimization algorithm.By changing the switching power of the reactive power compensation device,the fluctuation range of node voltage and the active power loss of the line are reduced,which effectively solves the problems of node voltage exceeding the limit and excessive active power loss of the line.The main contributions of the paper are as follows:This paper firstly studies the physical model of photovoltaic and wind power generation devices,proposes the uncertainty function of distributed power output,analyzes the adverse influence of distributed power supply volatility on the power flow direction of distribution network and node voltage.Based on the current national standards of power industry,three conditions of node voltage exceeding the upper limit,exceeding the lower limit and not exceeding the limit are taken as the differentiation.The voltage exceedance probability of distributed power under different grid-connected scenarios is proposed and the node voltage safety operation index is established.At the same time,in order to solve the problem that the output fluctuation of distributed power causes the over-limit of distribution network node voltage,this paper takes the input and switch power of reactive power compensation equipment as the variable,and establishes the reactive power compensation optimization model with the minimum active power loss and node voltage deviation as the optimization condition,which improves the absorption ability of distributed power and ensures the stability of distribution network node voltage.In order to avoid the local optimal solution problem which is easy to appear in the traditional optimization algorithm,the improved particle swarm optimization algorithm combining chaotic sequence and particle swarm optimization algorithm is used to solve the reactive power compensation optimization model,which effectively guarantees the effectiveness and feasibility of the results.In order to test the effectiveness of the proposed reactive power optimization model,the paper finally uses matlab software to conduct simulation verification in IEEE33 standard node system,and gets the comparison data of the node voltage and line loss of the distribution network before and after the reactive power compensation optimization,which proves the feasibility of the reactive power optimization model established in the paper.