考虑经济性和网架性能的抗灾型骨干网架多目标规划

为增强极端自然灾害下电力系统的供电能力和抗灾能力,提出一种抗灾型骨干网架的多目标规划方法。该方法在满足负荷保障率、电力系统安全运行和网络拓扑连通性约束的基础上,综合考虑差异化规划加固费用、灾害后恢复全网供电的效率和骨干网架抵御灾害的能力,构建以最大化经济性、系统可恢复性和网络抗毁性为目标的抗灾型骨干网架优化模型。采用嵌入图论修复策略的全面学习粒子群优化算法求解模型,增大了算法的可行解空间。引入混合策略纳什均衡来选取算法所求得的帕累托解集中具有最优联合均衡值的前沿解作为最优的骨干网架方案,从而能较好地兼顾各个目标函数的利益。广东某区域电网的仿真结果表明了所提方法的有效性。

Multi-objective Planning for Anti-disaster Backbone Grid Considering Economics and Network Frame Performance

In order to enhance the power supply capability and disaster resistance ability of power systems under extreme natural disasters, a multi-objective planning method of anti-disaster backbone grid is proposed with the guarantee rate of the load requirements, security operation constraints of the power system and connectivity of the network topology satisfied. In the proposed strategy, a multi-objective planning model of anti-disaster backbone grid, in which the reinforce cost of differential planning, the efficiency of power resupply after a disaster and the ability of the backbone grid to resist the disaster are considered comprehensively, is constructed for maximizing economics, resilience and network survivability. The graph repair strategy is utilized in comprehensive learning particle swarm optimization algorithm, which increases the feasible solution space of the algorithm. Then, the mixed strategy Nash equilibrium, which can balance the benefit of each objective function, is adopted to extract the best compromise solution with the optimal equilibrium value from the Pareto fronts obtained by the algorithm. The feasibility of the proposed method is verified by the numerical results of a regional power grid in Guangdong Province.