采用布谷鸟搜索算法,结合事实装置,解决了阀点负荷作用下的经济排放调度问题

IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Larouci Benyekhlef, S. Abdelkader, Boudjella Houari, Ayad Ahmed Nour El Islam
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引用次数: 1

摘要

最优潮流的基本目标是找到一个稳定的工作点,使发电机组的成本和损耗最小,并使电力系统在有功和无功功率的限制上可以接受。本文提出了一种基于自然的布谷鸟搜索算法(CSA)来解决阀点负荷效应(VPE)下引入FACTS装置的经济/排放调度问题。将该方法应用于不同的测试系统案例,以最大限度地降低燃料成本和总排放,并观察FACTS设备集成对测试系统的影响。与最近发表的其他优化技术相比,所得结果证实了布谷鸟搜索算法的有效性和鲁棒性。此外,仿真结果表明了该算法在优化所有输电线路的生产燃料成本、总排放和总损耗方面的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cuckoo search algorithm to solve the problem of economic emission dispatch with the incorporation of facts devices under the valve-point loading effect
The essential objective of optimal power flow is to find a stable operating point which minimizes the cost of the production generators and its losses, and keeps the power system acceptable in terms of limits on the active and reactive powers of the generators. In this paper, we propose the nature-inspired Cuckoo search algorithm (CSA) to solve economic/emission dispatch problems with the incorporation of FACTS devices under the valve-point loading effect (VPE). The proposed method is applied on different test systems cases to minimize the fuel cost and total emissions and to see the influence of the integration of FACTS devices. The obtained results confirm the efficiency and the robustness of the Cuckoo search algorithm compared to other optimization techniques published recently in the literature. In addition, the simulation results show the advantages of the proposed algorithm for optimizing the production fuel cost, total emissions and total losses in all transmission lines.
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来源期刊
Facta Universitatis-Series Electronics and Energetics
Facta Universitatis-Series Electronics and Energetics ENGINEERING, ELECTRICAL & ELECTRONIC-
自引率
16.70%
发文量
10
审稿时长
20 weeks
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