利用混合智能算法求解含分布式电源的配电网无功规划问题

摘要

Based on the stochastic programming theory, the paper present a method to solve reactive power optimization problem in distribution system with distributed generation. In order to describe wind speed, random variables are led in, and the mathematical model which based on chance-constrained programming is built. Then the model is solved bythe hybrid intelligent algorithm combined with stochastic simulation, support vector machine, particle swarm optimization. Wind power generators were added to IEEE 33-bus system, and the modified test system study results show that the method has higher decision-making efficiency and calculation precision, and verify that the proposed model and method are reasonable and effective.%提出了一种求解基于机会约束规划理论的含分布式电源配电网无功规划问题的方法，引入随机变量来表示风速，建立了基于机会约束规划的数学模型，利用随机模拟、支持向量机、粒子群算法相结合的混合智能算法进行求解。在含风机的IEEE33节点系统上进行算例分析，结果表明该方法具有较高的决策效率和计算精度，从而验证了所提出模型和方法的合理性和有效性。