基于粒子群优化算法的配电网优化调度模型

Power distribution network optimal scheduling model based on particle swarm optimization algorithm

配电网优化调度可以为决策者提供有价值的信息,为了获得理想的配电网优化调度方案,提出基于粒子群算法的配电网优化调度模型。首先对配电网优化调度研究现状进行分析,指出当前模型的不足,并设计了配电网优化调度问题的目标函数和约束条件,然后采用粒子群优化算法模拟粒子群搜索过程找到最优方案,并对标准粒子群算法的不足进行了改进,最后采用配电网优化调度实验测试其有效性。结果表明,该模型可以快速、准确地找到配电网优化调度的最优方案,具有一定的实际应用价值。

The power distribution network optimal scheduling provides the valuable information for decision makers. In or- der to obtain the desired power distribution network optimal scheduling scheme, a power distribution network optimal scheduling model based on particle swarm optimization algorithm is proposed. The research status of the power distribution network optimiza- tion scheduling is analyzed to point out the defects of current model. The objective function and constraint condition of the power distribution network scheduling problem were designed. The particle swarm optimization algorithm is used to simulate the parti- cle swarm search process to find out the optimal solution. The shortcomings of the standard particle swarm optimization algorithm are improved. The effectiveness of the particle swarm optimization algorithm was tested with the power distribution network opti- mal scheduling experiment. The results show that the proposed model can find the optimal scheme of the power distribution net- work optimal scheduling quickly and accurately, and has certain practical application value.