发电机约束下经济负荷调度问题改进教学优化技术的比较研究

Sumit Banerjee, C. K. Chanda, D. Maity
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引用次数: 4

摘要

本文提出了一种新的改进的基于教学的优化方法(I-TLBO)来解决不考虑输电损耗的热电厂经济负荷调度问题。所提出的方法可以考虑实际非线性问题,如斜坡速率限制、禁止操作区域和阀点负载。负荷经济调度的目标是在满足不同运行约束的情况下,确定机组的最优发电量以满足负荷需求,使发电总成本最小。I-TLBO是近年来发展起来的一种基于教学阶段和学习阶段两个教育基本概念的进化算法。在具有等式和不等式约束的测试系统上验证了该算法的有效性。通过与其他现有技术的比较,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。
A Comparative Study of Improved Teaching Learning Based Optimization Technique on Economic Load Dispatch Problem with Generator Constraints
This article presents a novel improved teaching learning based optimization (I-TLBO) technique to solve economic load dispatch (ELD) problem of the thermal plant without considering transmission losses. The proposed methodology can take care of ELD problems considering practical nonlinearities such as ramp rate limit, prohibited operating zone and valve point loading. The objective of economic load dispatch is to determine the optimal power generation of the units to meet the load demand, such that the overall cost of generation is minimized, while satisfying different operational constraints. I-TLBO is a recently developed evolutionary algorithm based on two basic concepts of education namely teaching phase and learning phase. The effectiveness of the proposed algorithm has been verified on test system with equality and inequality constraints. Compared with the other existing techniques demonstrates the superiority of the proposed algorithm.
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