基于生物地理学的经济负荷调度优化范围及多目标机组承诺问题

Vikram Kumar Kamboj, S. K. Bath
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引用次数: 13

摘要

基于生物地理的优化算法(BBO)是一种基于生物地理概念的基于种群的优化算法,它利用动物或其他香料的迁移策略的思想来求解优化问题。基于生物地理学的优化算法通过迁移和突变的步骤,对非光滑和非凸问题求最优解,过程简单。针对ieee3、4、6和10机组发电模型的经济负荷调度问题,提出了基于生物地理的优化算法。给出了标量多目标机组承诺问题的数学表达式,该问题是经济负荷调度问题的进一步推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scope of Biogeography Based Optimization for Economic Load Dispatch and Multi-Objective Unit Commitment Problem
Biogeography Based Optimization (BBO) algorithm is a population-based algorithm based on biogeography concept, which uses the idea of the migration strategy of animals or other spices for solving optimization problems. Biogeography Based Optimization algorithm has a simple procedure to find the optimal solution for the non-smooth and non-convex problems through the steps of migration and mutation. This research paper presents the solution to Economic Load Dispatch Problem for IEEE 3, 4, 6 and 10-unit generating model using Biogeography Based Optimization algorithm. It also presents the mathematical formulation of scalar and multi-objective unit commitment problem, which is a further extension of economic load dispatch problem.
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