Economic Dispatch Solution for Cogeneration Unit Assisted By Bare Bones Teaching Learning Optimization Technique

Arkadev Ghosh, Sumit Banerjee, D. Maity, C. K. Chanda
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Abstract

The article presents a recently developed approach to solve economic dispatch problem with co-generation units using bare bones teaching learning based optimization algorithm. Some non-linearities are considered. The primary objective of economic dispatch with co-generation units is to determine optimal allocation of power and generation of heat within operating limits such that the combined cost is minimum. In this article the teaching learning based optimization (TLBO) technique variant bare bones TLBO has been applied for solving proposed problem with linear and non-linear constraints. Traditional TLBO has two phases. In first phase learners improve their knowledge by absorbing teacher’s knowledge and in second phase by sharing knowledge with themselves. The results obtained are compared with existing techniques hence proves superiority of the proposed algorithm.
基于精简教学优化技术的热电联产机组经济调度解决方案
本文提出了一种利用基于基本教学的优化算法解决热电联产机组经济调度问题的新方法。考虑了一些非线性问题。热电联产机组经济调度的主要目标是在运行范围内确定最优的发电和产热分配,使总成本最小。本文将基于教学的优化(TLBO)技术应用于求解具有线性和非线性约束的数学问题。传统的TLBO有两个阶段。在第一阶段,学习者通过吸收老师的知识来提高自己的知识,在第二阶段,学习者通过与自己分享知识来提高自己的知识。将所得结果与现有算法进行了比较,证明了该算法的优越性。
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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