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A clonal algorithm to solve economic load dispatch

机译:一种解决经济负荷分配的克隆算法

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摘要

This paper presents a novel optimization approach to constrained economic load dispatch (ELD) problem using artificial immune system (AIS). The approach utilizes the clonal selection principle and evolutionary approach wherein cloning of antibodies is performed followed by hypermutation. The proposed methodology easily takes care of transmission losses, dynamic operation constraints (ramp rate limits) and prohibited zones and also accounts for non-smoothness of cost function arising due to the use of multiple fuels. Simulations were performed over various systems with different number of generating units and comparisons are performed with other prevalent approaches. The findings affirmed the robustness, fast convergence and proficiency of proposed methodology over other existing techniques.
机译:本文提出了一种使用人工免疫系统(AIS)的约束经济负荷分配(ELD)问题的优化方法。该方法利用了克隆选择原理和进化方法,其中先进行抗体克隆,然后进行超突变。所提出的方法可以轻松解决传输损失,动态运行约束(斜坡速率限制)和禁区,并且还可以解决由于使用多种燃料而导致的成本函数不平滑的问题。在具有不同数量的发电单元的各种系统上进行了仿真,并与其他流行的方法进行了比较。研究结果肯定了所提出的方法相对于其他现有技术的稳健性,快速收敛性和熟练性。

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