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Finding Optimal Load Dispatch Solutions by Using a Proposed Cuckoo Search Algorithm

机译：通过使用建议的咕咕搜索算法来查找最佳负载调度解决方案

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摘要

Optimal load dispatch (OLD) is an important engineering problem in power system optimization field due to its significance of reducing the amount of electric generation fuel and increasing benefit. In the paper, an improved cuckoo search algorithm (ICSA) is proposed for determining optimal generation of all available thermal generation units so that all constraints consisting of prohibited power zone (PPZ), real power balance (RPB), power generation limitations (PGL), ramp rate limits (RRL), and real power reserve (RPR) are completely satisfied. The proposed ICSA method performance is more robust than conventional Cuckoo search algorithm (CCSA) by applying new modifications. Compared to CCSA, the proposed ICSA approach can obtain high quality solutions and speed up the solution search ability. The ICSA robustness is verified on different systems with diversification of objective functions as well as the considered constraint set. The results from the proposed ICSA method are compared to other algorithms for comparison. The result comparison analysis indicates that the proposed ICSA approach is more robust than CCSA and other existing optimization approaches in finding solutions with significant quality and shortening simulation time. Consequently, it should lead to a conclusion that the proposed ICSA approach deserves to be applied for finding solutions of OLD problem in power system optimization field.
机译：最佳载荷调度（旧）是电力系统优化领域的重要工程问题，因为其降低了发电燃料量和越来越多的益处。在本文中，提出了一种改进的Cuckoo搜索算法（ICSA），用于确定所有可用的热生成单元的最佳产生，使得由禁止电源区（PPZ），实际功率平衡（RPB），发电限制（PGL）组成的所有约束，斜坡率限制（RRL）和实际功率储备（RPR）完全满足。通过应用新修改，所提出的ICSA方法性能比传统的Cuckoo搜索算法（CCSA）更强大。与CCSA相比，建议的ICSA方法可以获得高质量的解决方案并加快解决方案搜索能力。在不同的系统上验证了ICSA鲁棒性，具有目标功能的多样化以及被认为的约束集。所提出的ICSA方法的结果与其他算法进行比较。结果比较分析表明，所提出的ICSA方法比CCSA和其他现有优化方法更强大，在寻找具有显着质量和缩短模拟时间的解决方案方面。因此，它应得出结论，即建议的ICSA方法值得用于寻求电力系统优化场中旧问题的解决方案。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第12期|1564693.1-1564693.29|共29页
  • 作者

    Thang Trung Nguyen; Cong-Trang Nguyen; Le Van Dai; Nguyen Vu Quynh;

  • 作者单位

    Ton Duc Thang Univ Fac Elect & Elect Engn Power Syst Optimizat Res Grp Ho Chi Minh City Vietnam;

    Ton Duc Thang Univ Fac Elect & Elect Engn Power Syst Optimizat Res Grp Ho Chi Minh City Vietnam;

    Duy Tan Univ Inst Res & Dev Da Nang Vietnam;

    Lac Hong Univ Fac Mechatron & Elect Dept Electromech & Elect Dong Nai Vietnam;

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