Symbiotic organisms search algorithm for different economic load dispatch problems
Symbiotic organisms search algorithm for different economic load dispatch problems
复制标题
不同经济负荷调度问题的共生生物搜索算法
DOI：
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发表时间：
2018
期刊：
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通讯作者：
Dimitrios Gonidakis
中科院分区：
文献类型：
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作者：
Dimitrios Gonidakis
经济负荷分配是工程管理中的一个重要课题，它关系到发电系统的有效运行。ELD的目的是确定热力机组之间的发电调度，使运行成本最小化。本研究提出了一种新的自然启发的优化方法，称为共生生物搜索（SOS），以解决各种类型的ELD问题。SOS模仿生物体在生态系统中生存所采取的相互作用策略。该方法被应用到六个不同的测试系统，以验证其有效性和鲁棒性。所提出的SOS算法的仿真结果证实了其优越性，在最近的文献报道的其他成功的优化方法。
Economic load dispatch (ELD) is an important topic in engineering management as it is associated with the efficient operation of an electric power generating system. The aim of ELD is to determine the generation dispatch among the thermal units such that the operating cost is minimised. This study presents a novel nature-inspired optimisation method called symbiotic organisms search (SOS) to solve various types of ELD problems. SOS imitates the interaction strategies adopted by organisms to survive in an ecosystem. The proposed method is applied to six different test systems in order to verify its effectiveness and robustness. The simulation results of the proposed SOS algorithm confirm its superiority over other successful optimisation approaches reported in recent literature.