基于改进PSO算法的电力系统无功优化

Reactive Power Optimization of Power System Base On Modified PSO Algorithm

本文采用的无功优化数学模型虑了系统的实际约束条件和无功调节手段,能够准确直观地反映电力系统无功优化的实际问题。在此基础上对基于粒子群算法的无功优化作了深入的研究,尝试利用粒子群优化算法对无功优化问题进行求解。对常规粒子群算法的搜索策略进行了改进,对约束条件、离散变量都采取了一定的改进处理措施。以IEEE-6节点系统为例进行了仿真计算,验证了本文模型和算法的正确性、适用性和经济性。

The mathematical model for reactive power optimization in this thesis considered practical reactive power regulation facilities and operational constraints,and thus reflects the actual requirements of power systems.Then,made a deep research on reactive power optimization based on particle swarm optimization and tried to solve this problem with particle swarm optimization algorithm.In addition,some other measure is also adopted to dispose restrictions,discrete variables and inactive particle.Test results from the simulation and calculation on IEEE-6 system demonstrate the accuracy,validity and applicability of the proposed mode and algorithm.