文章基本信息

标题：A cuckoo bird-inspired meta-heuristic algorithm for optimal short-term hydrothermal generation cooperation
本地全文：下载
作者：Thang Trung Nguyen ; Dieu Ngoc Vo ; Bach Hoang Dinh 等
期刊名称：Cogent Engineering
电子版ISSN：2331-1916
出版年度：2016
卷号：3
期号：1
页码：1266863
DOI：10.1080/23311916.2016.1266863
语种：English
出版社：Taylor and Francis Ltd
摘要：Abstract Optimal short-term hydrothermal generation cooperation (OSTHTGC) is used to determine the optimal operation strategy for cascaded hydropower plants and thermal plants. In this problem, equality constraints consisting of water time delay, reservoir volume, continuity water and power balance, as well as inequality constraints related to the limits of thermal and hydro generations are taken into account. In this paper, a Cuckoo Bird-Inspired Meta-Heuristic Algorithm (CBIA), which is advanced by using only few control parameters and high success rate, has been proposed to solve the OSTHTGC problem. The proposed method is applied for four test cases where the valve point loading effects of thermal units and the combination operation of a four-cascaded reservoir system are considered. The comparison of obtained results has revealed that that CBIA method is an efficient method with high quality solution and fast convergence speed compared to other relevant approaches.
关键词：Cuckoo bird-inspired algorithm ; optimal hydrothermal generation cooperation ; valve point loading effect