考虑重要负荷恢复的机组分层协调恢复优化

对大停电后机组和负荷的协调恢复的方案优化方法进行了研究。针对已有机组恢复的研究往往忽略了同一电厂不同机组对电网恢复过程贡献不同的不足，建立了考虑重要负荷恢复的机组分层协调恢复方案优化数学模型。将待恢复机组分为网络重构层机组和厂站恢复层机组两个层次，通过分析两层机组恢复及负荷恢复的交互影响，提出了机组恢复的多目标分层协调优化策略。将机组恢复的连续过程划分为多个次序进行的恢复时段，结合快速非支配排序遗传算法、CRITIC客观赋权法和灰色关联投影法对每一时步机组恢复方案进行优化决策。进一步地，结合模糊层次分析法和贪心算法为各时步确定重要负荷恢复方案。新英格兰10机39节点系统算例验证了所提方法的有效性。

Coordinated two-layer unit restarting considering important load recovery after blackout

The optimization of coordinated recovery of units and important loads after blackout is studied. Since the contribution to the power system recovery process of different units in the same plant is neglected in former studies, a coordinated two-layer unit restarting considering important load recovery optimization model is established in this paper. The units to be recovered are divided into network-layer units and plant-layer units. By studying the interaction of two-layer units and important loads, the coordinated multi-objective hierarchical restoration method for units is proposed. The continuous unit restoration process is divided into sequential time steps. For each time step, the non-dominated sorting genetic algorithm and the combined use of CRITIC objective weighting method and grey relation projection method are employed to solve the unit restoration optimization problem. Furthermore, the fuzzy analytical hierarchy process and the greedy algorithm are employed to determine the restoration scheme of important loads for each time step. The effectiveness of the proposed method is validated by the optimization results on the New England 10-unit 39-bus power system. This work is supported by National Natural Science Foundation of China (No. 51277076) and Fundamental Research Funds for the Central Universities (No. 2014XS75).