Reactive Power Optimization Based On Cloud Chaos Particle Swarm Optimization Algorithm In Distribution Network

Reactive power compensation and reactive power balance in the power system is one of the basic conditions to ensure the voltage quality. It plays an important role in guaranteeing the power system's safe, stable and economy operation. In this respect, reactive power planning on the grid is needed. To realize this purpose, selecting the appropriate objective function, optimizing reactive power plan with the optimization method is very important.First, the impacts of voltage loss, active power, loss power factor which is caused by the reactive power will be described to illustrate the importance of reactive power compensation. Then, a mathematical model in the distribution network will be established. Its objective function is designed to be the cost of active power loss of the system, in which the node voltages beyond limited and the generator reactive power output beyond limited are considered in the way of penalty function.In order to calculate the model, a new method called the Golden section Chaotic Particle Swarm Optimization (GCPSO) will be proposed. According to the level of fitness, it adopts the golden section principle to divide all the particles into standard particles and chaos particles, which solves the problems of easily falling into local optimum if only using PSO and repeat searching part of the solution if only using chaotic. So it is more effective in searching the global optimal solution and faster in calculation than the PSO method.Additionally, in order to reduce the redundancy caused by chaos, based on cloud theory, a new algorithm called the Golden section Cloud-Chaos Particle Swarm Optimization (Cloud-Chaos GPSO) will be presented. Utilizing the fast searching capability of cloud method, it divides all the particles into standard particles, cloud particles and chaos particles. The cloud particles are designed to replace parts of the chaos particles to overcome the issue of redundancy and improve the speed effectively.Finally, in order to solve the problem of the redundancy caused by chaos better, a new algorithm called the Golden section Chaos-Cloud Particle Swarm Optimization (Chaos-Cloud GPSO) will be presented. It improves the chaos particles above into chaos-cloud particles to overcome the problem of redundancy furthermore. The simulation results show the effectiveness of the algorithm.