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首页> 外文期刊>Generation, Transmission & Distribution, IET >Modified bio-inspired optimisation algorithm with a centroid decision making approach for solving a multi-objective optimal power flow problem
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Modified bio-inspired optimisation algorithm with a centroid decision making approach for solving a multi-objective optimal power flow problem

机译：具有质心决策方法的改进生物启发式优化算法，用于解决多目标最优潮流问题

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摘要

A method to solve a multi-objective optimal power flow (MOOPF) problem with multiple and competing objective functions (OF) is presented. The modified flower pollination algorithm and the normal boundary intersection method are used in a complementary way to determine the Pareto front solution of the MOOPF problem. To help in the decision making process, an intuitive criterion based on the centroid concept is proposed to select the best compromise solution from the Pareto frontier. To demonstrate the capabilities of the proposed method, different OFs are combined to calculate the Pareto front solution on the IEEE 30 bus test system. Finally, a comparison of the proposed centroid based method against the well-known fuzzy membership and entropy criterions is provided in the results section.
机译：提出了一种解决具有多个竞争目标函数（OF）的多目标最优潮流（MOOPF）问题的方法。改进的花授粉算法和法向边界相交方法以互补的方式用于确定MOOPF问题的Pareto前沿解。为了帮助决策过程，提出了基于质心概念的直观标准，以从帕累托边界中选择最佳折衷解决方案。为了演示该方法的功能，将不同的OF组合在一起，以在IEEE 30总线测试系统上计算Pareto前端解决方案。最后，结果部分提供了所提出的基于质心的方法与众所周知的模糊隶属度和熵准则的比较。

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