基于MST-改进PSO的电-气-热综合能源系统负荷恢复策略

以往故障恢复的研究大多集中在配电网方面且恢复目标仅为单一的负荷恢复量，未考虑资源成本以及能源消耗的 环境保护成本等。对此，本文提出了一种多侧协调优化的多目标负荷恢复策略，该方法不仅实现了网络的重构、较高等级负荷的优先恢复，还实现了系统运行成本最优。在系统发生故障后，分两阶段进行恢复：首先，使用最小生成树对系统结构进行改造，实现系统网络的重构，形成可恢复负荷的最终区域；然后，综合考虑源侧资源购买成本、用户侧切负荷补偿成本以及碳排放环保成本等，构建优化目标函数，使用改进粒子群算法对其进行求解，得到最终恢复方案。通过33节点配电网、14节点气网和6节点热网测试系统仿真，验证了该负荷恢复策略的有效性。

Load Recovery Strategy of Electric-Gas-Thermal Integrated Energy System Based on MST- Improved-PSO

Most of the previous researches on fault recovery focused on the distribution network and the recovery goal was only a single load recovery amount, without considering the resource cost and energy consumption environmental protection cost, etc. In this paper, a multi-objective load recovery strategy based on multi side coordination and optimization is proposed. This method not only realizes the network reconfiguration, priority recovery of higher level loads, but also realizes the optimal system operation cost. After the system fails, it is recovered in two stages: first, the minimum spanning tree is used to reconstruct the system structure to realize the reconfiguration of the system network and form the final area of the recoverable load; Then, considering the purchase cost of resources at the source side, the compensation cost of load shedding at the user side and the environmental protection cost of carbon emissions, an optimization objective function is constructed, and the improved particle swarm optimization algorithm is used to solve it to obtain the final recovery scheme. The effectiveness of the load restoration strategy is verified by the simulation of 33 bus distribution network, 14 bus gas network and 6 bus heat network test systems.