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An intelligent approach based on bat algorithm for solving economic dispatch with practical constraints

机译：基于蝙蝠算法的智能方法求解具有实际约束的经济调度

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摘要

This paper develops a new framework to solve the practical non-convex economic dispatch problem with regard to the constraints including ramp rate limits, valve loading effect, prohibited operating zone, spinning reserve and multi-fuel option. In the proposed framework, bat algorithm, as a new optimization algorithm, is employed to explore the problem search space globally. In addition, a newly introduced adaptive modification method is developed to improve the variety of the bat population when increasing the convergence speed simultaneously. This modification is constructed based on the roulette wheel mechanism in conjunction with the crossover and mutation operators from the genetic algorithm. At the end of paper, the superiority of the proposed framework is examined using the IEEE 10-unit and 40-unit test systems.
机译：本文针对坡度限制，气门负荷效应，禁止工作区，旋转备用和多种燃料选择等约束条件，提出了解决实际非凸面经济调度问题的新框架。在提出的框架中，蝙蝠算法作为一种新的优化算法，被用于全局地探索问题搜索空间。另外，开发了一种新引入的自适应修改方法，以在同时提高收敛速度的同时改善蝙蝠种群的多样性。此修改是基于轮盘机制以及遗传算法中的交叉和变异算子构造而成的。在本文的最后，使用IEEE 10单元和40单元测试系统检查了所提出框架的优越性。

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