基于DPSO算法以负荷恢复为目标的网络重构

研究了大停电事故后输电系统的重构优化问题，提出了一种求解最优目标网的离散粒子群优化（DPSO）算法。将网络重构问题表示为以重要负荷恢复量占已恢复负荷总量的比例最高为目标的非线性优化问题，在求解目标网时考虑了负荷重要性、网络连通性、电网所需满足的各种安全和运行约束等问题。该算法在求解输电网重构问题时，编码容易且能方便地处理网络连通性问题，求解效率高、速度快。在IEEE 57节点系统和IEEE 118节点系统中的应用结果验证了文中方法的有效性。

DPSO Algorithm Based Network Reconfiguration of Power Systems for Maximizing Load Recovery Efficiency

The reconstruction of transmission networks after blackout is thoroughly studied, and a method of network reconfiguration based on discrete particle swarm optimization (DPSO) algorithm is proposed. The network reconfiguration is represented as a nonlinear optimization problem with the importance load restoration accounting for the maximum percentage of the total load restoration as the objective. In solving the objective network, the load priority, the connectivity of the electric network and various operating constraints are considered. The algorithm proposed has the advantages of target-network coding and network-connectivity checking with high computational efficiency. The effectiveness of the algorithm proposed is proved by the numerical results of a couple of IEEE 57-bus system and IEEE 118-bus system.