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Group Search Optimization Technique for Multi-area Economic Dispatch

机译:集团搜索多区经济调度优化技术

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Group search optimization to solve multi-area economic dispatch (MAED) problem is presented in this paper with transmission losses, constraints in the tie-line with different fuels, the valve point loading effect, and the prohibited operating zones. The method proposed has been examined on two different test systems, large and small, considering a changing degree of complexity. Then, the comparison has been made with evolutionary programming, differential evolution, and real-coded genetic algorithm where the solution quality is considered. The method which is proposed here gives an alternative approach which is very promising solution for solving one of the power system problems like MAED.
机译:集团搜索优化以解决多区经济调度(MAED)问题在本文中介绍了传输损耗,在带有不同燃料,阀点加载效果和禁止操作区的扎带中的约束。 考虑到变化程度的复杂程度,已经在两种不同的测试系统上进行了检查,提出的方法。 然后,已经用进化编程,差分演化和实际编码的遗传算法进行了比较,其中考虑了解决方案质量。 这里提出的方法提供了一种替代方法,这是一种非常有前途的解决方案,用于解决像MAED这样的电力系统问题之一。

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