Study On Reactive Power Optimization Of Distribution Network With Large-scale Distributed Generation Based On Quantum Particle Swarm Algorithm

As the distributed generation is used in the distribution system largely,the original distribution network will no longer be a strictly "absorptive" network.The original radiant network structure with a single flow direction has become a multi-source distribution network with different flow directions.The voltage,network loss and reliability of the original system will make a huge change,which make the reactive current distribution of the distribution network changeful.What's more,it can also lead to imbalance of the local reactive power.As the main forms of DG,photovoltaic and wind power have obvious randomness and intermittent.So the random fluctuating nature of the power increases the network loss of the distribution network system.In order to solve this problem,the study on reactive power optimization of distribution network with massive distributed generation based on quantum particle swarm algorithm will be discussed in this article.Firstly,the effects on network loss and node voltage will be analyzed as the large-scale DG is used to distribution network.The different types of distributed power supply used in current distribution network and the nodes equivalent processing of power flow calculation method will also be introduced.Then the disadvantages of PSO algorithm in solving the optimization problem are discussed.As for the disadvantages,quantum algorithm is introduced into reactive power optimization model of the distribution network.So the reactive power optimization model of the distribution network is built.It is aimed at dealing with renewable distributed power supply largely.Reducing the regional distribution network loss and controlling the system node fluctuation are the final goal.Based on IEEE 33 nodes system,the reactive power optimization of distribution network model is verified.By setting the target weight,the different optimization objectives of the reactive power optimization model can be controlled.So the PSO algorithm can be used to solve problem.The results show that the network loss will increase sharply as the reactive network optimal operation.