Reactive Power Optimization for Distribution Network Based on Chaos Guide Particle Swarm Optimization Algorithm with Gold Criterion
Voltage is an important aspect to measure the security of power system and reactive power can relatively exert great influence on the voltage level. So planning for reactive power is an important part of network planning. In this chapter a new algorithm called Gold Criterion Chaos Guide Particle Swarm Optimization (GCCGPSO) is presented in reactive power optimization for distribution. Firstly, a mathematical model of reactive power optimization for distribution network by capacitance is established. And the cost of system active power loss and investment in equipment is treated as the optimization objective. Meanwhile the node voltage and reactive power of generator is dealt with penalty function when they pass over the limitation. Then GCCGPSO is proposed. It adopts not only chaos algorithm with gold criterion to guarantee that the particles are not easy to fall into local optimum and search the same place, but also the Neighbor domain optimal item to promote the ability of choosing path. Finally, the result of the simulation shows that the algorithm is useful and has sound performance.
KeywordsParticle Swarm Optimization Particle Swarm Reactive Power Distribution Network Grid Voltage
This work is supported by the National Natural Science Foundation of China No. 60504010), the High Technology Research and Development Program of China (2008AA04Z129), and State Key Laboratory of Synthetical Automation for Process Industries
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