Reactive Power Planning Optimization Of Power Grid Containing Distributed Power

In recent years, the demand for electricity grows quickly with the rapid development of the national economy. That line loss is too big and the power quality is not high still abounds, especially in power distribution network. The active loss of distribution network accounts for a large proportion of the loss of the entire network. And the energy and environment problem increasingly outstanding, the development and utilization of new energy has attracted more and more attention. Distributed power such as wind power and small hydropower itself is renewable and clean, which is more popular in countries. But along with the access of distributed power supply, the voltage quality and voltage stability of power system received a significant impact. Power system reactive power planning is based on the power grid planning, determines the installation position and capacity of reactive power compensation equipment, is the effective measure to ensure that the power system is safe and economic. Therefore, the reactive power planning optimization of power grid with distributed reactive power study has important significance.For distributed power (low water power plant, wind power plant), the paper summarizes the present status and significance of it, and analyze the impact of it on power system including power quality、voltage stability、the network loss. For reactive power planning optimization, this paper elaborates the present status、significance and the developing direction including the model and algorithm improvement. According to the characteristics of different regions containing distributed power, this paper analyzes the model of distributed power and the node type.Crisscross Optimization Algorithm (CSO) is a new kind of algorithm. In this paper, the third chapter applies CSO to the reactive power planning optimization of electric power system problem, and improves the performance of CSO algorithm. Using chaotic mapping to produce uniform distribution of initial solution, introducing vertical cross operator and quantum particle swarm optimization algorithm searching mechanism, increase the search capability of the algorithm. The voltage stability margin index is used to search for that the voltage stability of nodes are relatively weak. Then these nodes are used as reactive power planning nodes. The cost of comprehensive planning and voltage stability margin index are written to the objective function, pursuing comprehensive planning of the lowest cost and at the same time improving the voltage stability. The simulation of IEEE30 node system verifies the effectiveness of the proposed planning method and algorithm.Because of the evolution of Quantum Particle Swarm Optimization Algorithm (QPSO) converging in probability that inevitably lead to particle loss diversity, which makes the slow convergence speed. At the same time the algorithm converges to a certain precision, can’t continue to optimize, and then fall into a local optimal solution. This paper proposes Dynamic NW Small World Quantum Particle Swarm Algorithm (NWQPSO) in which the NW small-world network is introduced into QPSO algorithm. For region electricity system containing distributed power, this paper establishes a reactive power planning model of region electricity system containing distributed power, and uses NWQPSO algorithm to calculate reactive power planning optimization of region electricity system containing distributed power. And the calculation verifies the effectiveness of the algorithm and programming method.