Optimization of Unit Commitment Problem for wind-thermal generation using Fuzzy optimization technique

M. S. Shahriar, M. J. Rana, M. Asif, Mahmudul Hasan, M. Hawlader
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引用次数: 10

Abstract

The day ahead unit commitment (UC) problem is one of the biggest challenges of power system operation as it requires not only the demand of fulfilling the system constraints but also in most economical way. Adding uncertainty of renewable energy sources make it more difficult to handle. Because of the uncertain nature of Wind Energy Generator (WEG), some risk factors has been added in the solution process. So, solving UC with plants like WEG has become a vital topic of research in present days. A strategy of solving such problems is presented in this paper with having the objective of minimizing the cost and handling risks introduced due to WEGs. As a specialized formulation technique of uncertain optimization problem, Fuzzy optimization technique has been chosen and the problem has been formulated in Mixed Integer Linear Programming (MILP) technique.
应用模糊优化技术优化风热发电机组调度问题
日前机组承诺问题是电力系统运行中面临的最大挑战之一,因为它既需要满足系统约束的要求,又需要以最经济的方式实现。加上可再生能源的不确定性,使其更难处理。由于风力发电机组的不确定性,在求解过程中加入了一些风险因素。因此,利用WEG等植物解决UC问题已成为当前研究的重要课题。本文提出了一种解决此类问题的策略,其目标是最小化成本并处理由于weg而引入的风险。模糊优化技术作为求解不确定优化问题的一种专用的表述技术,在混合整数线性规划(MILP)技术中被采用。
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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