基于二次插值粒子群算法的配电网多目标双阶段故障恢复策略

随着人们对供电质量要求的提高，为了满足配电系统的可靠性、安全性和经济性方面的要求，配电网的故障恢复策略相关研究成为了目前专家学者研究的重要课题。提出了基于二次插值粒子群算法的适用于配电网多目标下故障恢复的双阶段策略。首先建立了配电网故障恢复时基于不同目标函数下的数学模型，制定了适合基于二次插值粒子群算法的配电网多目标双阶段故障恢复策略的编码策略，并利用基于二次插值的粒子群算法对其进行求解。最后以某实际电网为例，在不同故障情况下验证了所提策略的正确性和实用性。

Multi-Objective Two-Stage Fault Recovery Strategy for Distribution Networks Based on Quadratic Interpolation Particle Swarm Optimization

With the ever-increasing requirements for power supply quality, and to meet the reliability, safety and economical requirements of power distribution systems, the research on fault recovery strategies of distribution networks has become an important topic for experts and scholars. This paper proposes a two-stage strategy based on quadratic interpolation particle swarm optimization for fault recovery under multi-objectives in distribution networks. Firstly, the mathematical model of the distribution network fault recovery based on different objective functions is established, and the coding strategy of multi-objective two-stage fault recovery strategy for distribution network based on quadratic interpolation particle swarm optimization algorithm is formulated. And the particle swarm optimization algorithm based on quadratic interpolation is used to solve the model. Finally, taking an actual power grid as an example, the correctness and practicability of the proposed strategy are verified under different fault conditions.