An Evolutionary Particle Swarm Optimization, EPSO, approach to optimize the operation of hydro stations in market environment

A. S. Pacheco, J. Saraiva
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引用次数: 2

Abstract

This paper describes the application of Evolutionary Particle Swarm Optimization, EPSO, to the optimization of the short term operation of hydro stations in market environment. The maximization of the revenues of hydro stations, namely pumping stations, is gaining increasing attention by generation companies. However, this is typically a complex problem given the non linear relation between the power, the flow and the head, the temporal coupling between stations in cascade and the increasing number of pumping stations. The EPSO based algorithm displayed a very good performance in terms of the quality of the final operation plan as well as regarding the speed of convergence and the robustness of the algorithm.
市场环境下水电站运行优化的演化粒子群算法
本文介绍了进化粒子群算法在市场环境下水电站短期运行优化中的应用。水力发电站(即泵站)的收益最大化正日益受到发电公司的重视。然而,考虑到功率、流量和水头之间的非线性关系、梯级站间的时间耦合以及泵站数量的增加,这是一个典型的复杂问题。基于EPSO的算法在最终运行计划的质量、收敛速度和算法的鲁棒性方面都表现出了很好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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