适应自愈要求的配电网开关优化配置

Switch Configuration Optimization Based on Self-healing Requirement of Distribution Network

自愈是智能配电系统的重要特征,通过对配电网分段开关的优化配置,不仅可以使配电网满足经济性和可靠性要求,更能使网架本身具有良好的自愈性。为体现自愈要求,分别从自愈时间、用户和负荷的角度提出了智能配电网自愈能力的评价指标以及负荷自愈率的分块计算法,在传统开关优化配置的目标函数中加入停电中断费用,在约束条件中增加了最小自愈率的约束,并通过对惯性系数和学习因子的调整改进二进制粒子群算法来求解适应自愈要求的配电网开关优化配置问题。最后,通过算例结果验证了所建模型的合理性和所提方法的有效性。

Self-healing is the most important characteristics of the smart distribution system. Through switch configuration optimization, the distribution network can not only satisfy the requirement of reliability and economy, but also have good self-healing property. In order to reflect the requirement of self-healing, the paper proposes the self-healing evaluation indicators and the blocked algorithm of load self-healing rate for the smart distribution system in terms of self-healing time, customer and load. The outage interruption cost is added to the objective function of the traditional switch configuration optimization, and the minimum healing rate is added to the constraints. An improved binary particle swarm optimization algorithm is proposed through adjustment of the inertia coefficient and learning factors to realize the switch configuration optimization of the distribution network that is adaptable to the self-healing requirement. A case study has proved the model’s rationality and the proposed method’s effectiveness.