基于多目标优化的多电源配电网储能功率配置方法

Energy Storage Power Allocation Method of Multi-source Distribution Network Based on Multi-objective Optimization

为减少多电源配电网储能功率损耗,保持多目标电力平稳,在多目标优化算法的基础上,构建一种储能功率配置方法。综合分析经济、环保和技术三项指标,建立多目标优化配置数学模型,分析配电网各条支路中的电压幅值和电流幅值;利用多目标粒子群优化算法改进储能功率容量和接入方式,并将当前粒子群适应度与上一轮的适应度值做比较,得到pareto解,实现储能功率最优配置。通过与其他算法展开对比实验测试,结果表明,所提方法具有较高的投资运行经济效益、较低的电压偏差和网损,同时最优pareto解的曲线也是较为平稳的,使配电网始终处于安全供电状态。

In order to reduce the energy storage power loss of multi-source distribution network and keep the multi-objective power stable,an energy storage power allocation method is constructed based on the multi-objective optimization algorithm.Comprehensive analysis of economic,environmental protection and technical indicators,establishment of multi-objective optimal allocation mathematical model,analysis of voltage amplitude and current amplitude in each branch of distribution network;Multi-objective particle swarm optimization(PSO)algorithm is used to improve the energy storage capacity and access mode,and the current particle swarm fitness is compared with the fitness value of the last round,and pareto solution is obtained to realize the optimal allocation of energy storage.Compared with other algorithms,the experimental results show that the proposed method has higher economic benefits of investment and operation,lower voltage deviation and network loss,and the curve of the optimal pareto solution is relatively stable,which makes the distribution network always in a safe power supply state.