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An optimal dispatch model of power economic load system based on modified bat algorithm

机译:基于改进BAT算法的电力经济负荷系统最优分化模型

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摘要

The Economic load dispatch (ELD) problem considering valve-point effects, power balance constraint and the generating capacity constraint is a high-dimensional, discontinuous, non-differentiable, non-convex and nonlinear optimization problem, which cannot be solved by classical mathematics methods. In order to solve the problem, this paper presents a modified Bat Algorithm (MBA). Via simulating echolocation behavior of bats, the algorithm gets the optimal solution in the solution space. To enhance the overall performance and effectiveness of the proposed algorithm, the noninertia weight and hybrid mutation operation are integrated with the proposed method. To verify the effectiveness of the proposed method, the 3-unit test system, 13-unit test system and 40- unit test system were carried on the test. The simulation results obtained by the proposed algorithms are compared with the results using other recently developed methods which are available in the literature. From numerical results, it is found that the proposed MBA with noninertia weight and hybrid mutation operation approach is able to provide the better solution than other reported techniques in terms of fuel cost.
机译:考虑阀点效应的经济负载调度(eld)问题,功率平衡约束和发电量约束是一种高维,不连续,不可分散的非凸和非线性优化问题,其无法通过经典数学方法来解决。为了解决问题,本文提出了一种改进的BAT算法(MBA)。通过模拟蝙蝠的回声机分配行为,该算法在解决方案空间中获得最佳解决方案。为了提高所提出的算法的整体性能和有效性,与所提出的方法相结合了非分型重量和混合突变操作。为了验证所提出的方法的有效性,在测试上进行了3单元测试系统,13单元测试系统和40单元测试系统。通过所提出的算法获得的模拟结果与使用文献中可用的其他最近开发的方法的结果进行比较。从数值结果中,发现具有非分子重量和混合突变操作方法的提出的MBA能够提供比其他报告技术在燃料成本方面的更好的解决方案。

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