Reactive Power Optimization in Distribution Network with Wind Farm

Abstract:

The traditional methods to adjust voltage in distribution network reactive power optimization is discretization，and it is difficult to realize the continuous voltage adjustment. A reactive power optimization model and algorithm in distribution network with wind farm is proposed. The network loss，deviation of voltage and stability of voltage are taken into account in the multi-objective reactive power optimization model. The quantum particle swarm optimization（QPSO）algorithm has been used to solve the reactive power optimization problem. The algorithm described particle state by wave function, not only increase the diversity of population，but also avoid premature convergence. The comparison of the simulation result between QPSO and PSO on the modified IEEE 33-bus system demonstrated the effectiveness and advantage of quantum particle swarm optimization.

• Periodical: Advanced Materials Research (Volumes 614-615)
• Pages: 1372-1376
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.614-615.1372
• Online since: December 2012
• Authors: Chuang Li, Min You Chen, Yong Wei Zhen, Ang Fu, Jun Jie Li
• Keywords: Multi-Objective, QPSO, Reactive Power Optimization, Wind Farm

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