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A modified approach to solution of Unit Commitment problem using Mendel's GA method

机译:用孟德尔遗传算法解决单元组合问题的改进方法

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Phenomenal increase in load and cost of electricity has raised many challenges ranging from security of the system to the economics of generation. For economic operation of power system, the solution to Unit Commitment problem is necessary. Unit Commitment aims to schedule the power generation to meet the load demands at the most economical rate for the next few hours. It decides that which unit should be operated in that particular period of study and which should not. On time horizon basis, it can be varied from few hours to one week. In this paper unit commitment problem is solved using modified Mendel's GA approach for standard 4 unit system scheduled for 8 hours with 1-hour time interval. The results obtained show that the proposed technique is able to achieve the solution of unit commitment problem in lesser number of trials and in minimum cost as compared to the conventional approach.
机译:负荷和电力成本的飞速增长带来了许多挑战,从系统的安全性到发电的经济性。为了电力系统的经济运行,必须解决机组承诺问题。 Unit Commitment旨在在接下来的几个小时内以最经济的速度安排发电以满足负荷需求。它决定在那个特定的学习期间应该操作哪个单元,而不应该操作哪个单元。根据时间范围,它可以从几个小时到一个星期不等。在本文中,使用改进的孟德尔GA方法解决了标准4单元系统(计划时间为8小时,间隔为1小时)的单位承诺问题。获得的结果表明,与传统方法相比,所提出的技术能够以更少的试验次数和最低的成本实现单元承诺问题的解决方案。

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