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首页> 外文会议>2010 18th Iranian Conference on Electrical Engineering >A multi objective genetic algorithm for weighted load shedding
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A multi objective genetic algorithm for weighted load shedding

机译：加权减载的多目标遗传算法

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摘要

Load shedding during contingency conditions is an efficient solution to alleviate transmission lines over loadings. Minimization of total load shedding considering loads importance has great significance in these situations. This problem requires simultaneous optimization of two or more conflicting objectives, such as minimization of the total load shedding, minimization of transmission lines over loadings and voltage violations minimization. The objectives are in conflict since the improvement of one of them leads to the deterioration of another. A modified version of Non-Dominated Sorting Genetic Algorithm (NSGA-II) is used as an effective optimization tools for solving the minimum weighted load shedding problem during contingency conditions. Also relation between transmission lines overloading and amount of load shedding is surveyed. IEEE 14 bus test system is used as a study case and results are discussed.
机译：应急情况下的减载是减轻传输线超载的有效解决方案。在这些情况下，考虑到负载重要性，最大程度地减少总负载脱落具有重要意义。这个问题需要同时优化两个或两个以上相互矛盾的目标，例如使总的负载减少最小化，使传输线在负载上最小化以及对电压违规的最小化。目标之间存在冲突，因为其中一个目标的改进会导致另一个目标的恶化。改进版本的非支配排序遗传算法（NSGA-II）被用作解决偶然情况下最小加权减载问题的有效优化工具。还研究了传输线过载与减载量之间的关系。以IEEE 14总线测试系统为研究案例，并讨论了结果。

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