电网供电系统多目标停电优化管理仿真

Multi-Objective Outage Optimization Management Simulation for Power Supply System

为了确保安全用电,供电企业需要对相关线路、设备进行停电检修。但如何合理安排不同区域、设备的停电时间,在保证停电检修任务的同时尽量减小对用户和供电企业的影响,是停电管理的核心问题。由于大规模的电网综合停电管理还存在工作均衡性差、时间安排难以满足多目标需求等问题。为提高电网供电系统的有效性,提出一种改进的粒子群的多目标停电管理方法,设计与该问题相适应的解结构,以及新的粒子位置及速度的更新策略,有效避免粒子群算法陷入局部最优解的情况。在满足电网停电约束的条件下,使电网供电系统的可靠性、经济性与资源配置达到综合最优。通过对比实验,验证了所提方法的合理性和有效性,能够满足实际电网停电计划的需求。

To ensure the safe use of electricity, power supply enterprises need to design outage maintenance plans. The key problem is how to make the outage schedules for different regions and equipments to reduce the impact on the customers and enterprises without affecting the outage maintenance tasks. In order to improve the effectiveness of power system, a multi-objective outage management method is proposed based on improved particle swarm optimi- zation. New solution structures and update strategies for the position and velocity of the particles are developed specif- ically to avoid the early convergence faced by the general particle swarm algorithms. Therefore, the reliability, the e- conomy and the allocation efficiency of resources are all optimized under the constraints of the outage planning. Through comparison experiments, the new model is both effective and efficient to fulfill the management demands.