A TLBO algorithm based optimal load scheduling of generators for power system network

Dsnmrao, Niranjan Kumar
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引用次数: 0

Abstract

This paper discusses about ELD Problem is modeled by non-convex functions. These are problem are not solvable using a convex optimization techniques. So there is a need for using a heuristic method. Among such methods Teaching and Learning Based Optimization (TLBO) is a newly known algorithm and showed promising results. This paper utilized this algorithm to provide load dispatch solutions. Comparisons of this solution with other standard algorithms like Particle Swarm Optimization (PSO), Differential Evolution (DE) and Harmony Search Algorithm (HSA). This projected algorithm is implemented to resolve the ELD problem for 6 unit and 10 unit test systems along with the other algorithms. This comparison investigation explored various merits of TLBO with respect to PSO, DE, and HSA in the field economic load dispatch.
基于TLBO算法的电网发电机组最优负荷调度
本文讨论了用非凸函数来建模ELD问题。这些都是用凸优化技术无法解决的问题。所以有必要使用启发式方法。在这些方法中,基于教学和学习的优化算法(TLBO)是一种新发现的算法,并显示出良好的效果。本文利用该算法给出了负荷调度方案。将该解决方案与其他标准算法如粒子群优化(PSO)、差分进化(DE)和和谐搜索算法(HSA)进行比较。该投影算法与其他算法一起用于解决6单元和10单元测试系统的ELD问题。这项比较调查探讨了TLBO在现场经济负荷调度中与PSO、DE和HSA相关的各种优点。
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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