作　　者： ; ; ; ; ; ;

机构地区： 华南理工大学电力学院

出　　处： 《电力系统自动化》 2011年第23期16-21,共6页

摘　　要： 电力系统大停电后的网架重构阶段历时较长,涉及因素众多,是一个多目标、多变量的组合优化问题。发展了计及恢复操作时间不确定性的网架重构方案优化的机会约束规划模型。该模型以恢复的发电节点数和负荷恢复收益作为节点收益,搜索网架重构过程中收益最大的网架重构方案。之后,针对网架重构问题的特点,提出了一种改进的遗传算法求解方法。最后,通过算例说明了所述模型和方法的基本特征。 The network reconfiguration procedure after a complete blackout or a local outage usually lasts a relatively long period of time and involves a lot of factors.It can be formulated as a combinatorial optimization problem with multiple variables and objectives.A chance constrained programming（CCP） model for network reconfiguration scheme optimization is developed with the operating time uncertainty taken into account.The node number of the restarted generators and the benefit from the restored loads are taken as the returns from the restoration scheme and the network reconfiguration scheme of maximum returns is searched in the process of network reconfiguration.Then a modified genetic algorithm considering the characteristics of the network reconfiguration scheme optimization problem is proposed.Finally,a sample power system is adopted to demonstrate the essential features of the model and method developed.

关 键 词： 电力系统恢复 网架重构 机会约束规划 遗传算法

领　　域： [电气工程]