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首页> 外文期刊>International journal of Power and energy conversion >Artificial bee colony algorithm for solving economic dispatch problems with non-convex cost functions
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Artificial bee colony algorithm for solving economic dispatch problems with non-convex cost functions

机译:具有非凸成本函数的经济调度问题的人工蜂群算法

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The main aim of this paper is to propose an efficient and reliable algorithm to solve the economic dispatch (ED) problem with non-convex cost functions in power systems, using artificial bee colony (ABC) algorithm. For techno-economic reasons along with the high computation time, the ED problem has undergone a significant amount of research over the last years, in an effort to find the more suitable optimisation algorithm which ensures a balance between the optimal economic contribution of each generating unit outputs and the required computation time. The proposed algorithm is applied to different non-convex ED problems, including prohibited operating zone (POZ) with ramp rate limits, valve point effects with consideration of the transmission network losses and the gaseous emission of the generating units. Four different test systems consisting 6, 10, 15, and 20 generating units are used to validate the consistency of the proposed algorithm to detect the optimal solution for a given objective. The simulation results clearly indicate that the ABC algorithm provides better results in term of quality solution and convergence speed compared to those available in the literature.
机译:本文的主要目的是提出一种有效且可靠的算法,利用人工蜂群算法来解决电力系统中具有非凸成本函数的经济调度问题。由于技术经济的原因以及计算时间长,ED问题在过去几年中进行了大量研究,以期找到更合适的优化算法,以确保每个发电机组的最佳经济贡献之间的平衡。输出和所需的计算时间。所提出的算法适用于不同的非凸面ED问题,包括带斜率限制的禁止运行区域(POZ),考虑传输网络损耗和发电机组气体排放的阀点效应。使用由6个,10个,15个和20个生成单元组成的四个不同的测试系统来验证所提出算法的一致性,以检测给定目标的最佳解决方案。仿真结果清楚地表明,与文献中提供的算法相比,ABC算法在质量解决方案和收敛速度方面提供了更好的结果。

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