Artificial Electric Field Algorithm Applied to the Economic Load Dispatch Problem With Valve Point Loading Effect

IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Kathan Shah, Jatin M. Soni, K. Bhattacharjee
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引用次数: 0

Abstract

Economic load dispatch is to operate thermal generators economically with fulfilling load demand. This economic dispatch problem becomes highly complex and non-linear after considering various operating constraints like valve-point loading effect, generator operating constraints, and prohibited operating zone. The recently developed physics law-based artificial electric field algorithm has been applied to solve highly complex and non-linear ELD problems. The exploration and exploitation strategy of the algorithm helps to avoid local optimum value, and to get global optimum value in less computation time. The AEFA method has been applied to 10, 13, 15, 40, and large 110 thermal generators to validate the effectiveness of the proposed algorithm. The results obtained by the proposed algorithm have been compared with other recently developed algorithms.
人工电场算法在具有阀点负荷效应的经济负荷调度问题中的应用
经济负荷调度是指在满足负荷需求的前提下经济运行火电机组。在考虑了阀点负荷效应、发电机运行约束、禁止运行区域等多种运行约束后,经济调度问题变得高度复杂和非线性。近年来发展起来的基于物理定律的人工电场算法已被应用于求解高度复杂的非线性电场问题。该算法的探索开发策略有助于避免局部最优值,并在较少的计算时间内获得全局最优值。将AEFA方法应用于10、13、15、40和大型110热电机组,验证了算法的有效性。并将所提算法的结果与最近发展的其他算法进行了比较。
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来源期刊
International Journal of Swarm Intelligence Research
International Journal of Swarm Intelligence Research COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.50
自引率
0.00%
发文量
76
期刊介绍: The mission of the International Journal of Swarm Intelligence Research (IJSIR) is to become a leading international and well-referred journal in swarm intelligence, nature-inspired optimization algorithms, and their applications. This journal publishes original and previously unpublished articles including research papers, survey papers, and application papers, to serve as a platform for facilitating and enhancing the information shared among researchers in swarm intelligence research areas ranging from algorithm developments to real-world applications.
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