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首页> 外文期刊>Energy >Optimal short-term generation scheduling of hydrothermal systems by implementation of real-coded genetic algorithm based on improved Muhlenbein mutation
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Optimal short-term generation scheduling of hydrothermal systems by implementation of real-coded genetic algorithm based on improved Muhlenbein mutation

机译：基于改进Muhlenbein突变的实数编码遗传算法实现热电系统短期最优发电调度

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摘要

The short-term hydrothermal scheduling (STHS) problem is providing a daily planning of hydro and thermal generations, aiming to minimize the total fuel cost of thermal plants. The minimization of total operation cost of hydrothermal power system is considered as a complex nonlinear hard optimization problem with a series of several equality and inequality constraints. This paper proposes real-coded genetic algorithm with an improved Milhlenbein mutation (RCGA-IMM) for the solution of STHS optimization problem, considering the minimization of operation cost which satisfies hydraulic and electrical constraints. The proposed optimization procedure is employed on two test systems in which different constraints have been taken into account including valve point loading effect of thermal units and transmission losses. The provided optimal solutions have been compared with recent studies in this area, which manifest superiority of the proposed method. It is found that the proposed RCGA-IMM has the capability of obtaining better solutions with respect to other optimization methods which are implemented on STHS problem. (C) 2017 Elsevier Ltd. All rights reserved.
机译：短期热液调度（STHS）问题正在提供水力和热力发电的每日计划，旨在使热电厂的总燃料成本降至最低。热电系统总运行成本的最小化被认为是一个复杂的非线性硬优化问题，具有一系列等式和不等式约束。考虑到最小化满足水力和电力约束的运营成本，本文提出了一种改进的Milhlenbein突变（RCGA-IMM）实码遗传算法。所建议的优化程序用于两个测试系统，其中考虑了不同的约束条件，包括热单元的阀点负载效应和传输损耗。提供的最佳解决方案已与该领域的最新研究进行了比较，这证明了所提出方法的优越性。发现所提出的RCGA-IMM具有相对于在STHS问题上实现的其他优化方法获得更好的解决方案的能力。 （C）2017 Elsevier Ltd.保留所有权利。

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