Sine Cosine Algorithm for Solving Economic Load Dispatch Problem with Penetration of Renewables

IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Swarm Intelligence Research Pub Date : 2022-01-01 DOI:10.4018/ijsir.299847
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引用次数: 0

Abstract

Economic Load Dispatch is used to allocate power demand economically among connected generators by considering various constraints. The thermal generating units are incorporated with renewable sources like wind and solar units to reduce pollution and dependency on fuel cost. The uncertainty of output power from wind and solar plants is considered here. The 2-m point estimation method is used to get generated power from wind and solar units. The population-based Sine Cosine Algorithm is proposed to get the optimum solution of the presented complex ELD problem. The randomly placed search agents find an optimum solution according to their fitness values and keep path towards best solution attained by each search agent. The search agents avoid local optima in exploration stage and move towards the solution exploitation stage using sine and cosine functions. The proposed algorithm has been tested in various four test systems. The results proved that the proposed algorithm gives quite an effective, efficient and promising solution compared to other techniques.
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求解可再生能源渗透经济负荷调度问题的正弦余弦算法
经济负荷调度是通过考虑各种约束条件,在相互连接的发电机组之间经济地分配电力需求。热发电机组与风能和太阳能等可再生能源相结合,以减少污染和对燃料成本的依赖。这里考虑了风能和太阳能发电厂输出功率的不确定性。采用2 m点估计法对风能和太阳能发电机组进行发电。提出了基于种群的正弦余弦算法求解复杂ELD问题的最优解。随机放置的搜索智能体根据其适应度值寻找最优解,并保持每个搜索智能体到达最优解的路径。利用正弦和余弦函数,搜索智能体在探索阶段避免局部最优,并向解挖掘阶段移动。该算法已在四种测试系统中进行了测试。结果表明,与其他技术相比,该算法提供了一种有效、高效和有前景的解决方案。
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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 This journal publishes original and previously unpublished articles including research papers, survey papers, and application papers, to serve as a platform for facilitating and enhancing the information shared among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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