期刊名称：American Journal of Engineering and Technology Management
印刷版ISSN：2575-1948
电子版ISSN：2575-1441
出版年度：2016
卷号：1
期号：2
页码：12-24
DOI：10.11648/j.ajetm.20160102.12
语种：English
出版社：Science Publishing Group
摘要：In this paper, combined heat and power units are incorporated in dynamic economic dispatch to minimize total production costs considering realistic constraints such as ramp rate and spinning reserve limits effects over a short time span. Three evolutionary approaches, namely seeker optimization Algorithm (SOA), Seeker optimization with inertia weight factor (SOAIW) and Bacteria Foraging Optimization Algorithms (BFOA) are successfully implemented to solve the combined heat and power economic dispatch (CHPED) problem. These approaches have been tested on 12-generation units system with two steam, four gas and six cogeneration units. In addition, the performance tests are applied to measure the actual power output and the fuel consumption in every point tests for achieving different curves such as input/output, incremental heat rate and heat rate curves for the twelve units. The results of the four approaches are compared to obtain the best solution. The results show that the seeker optimization with improved inertia weight is able to achieve the best solution at less computational time.
关键词：Combined Heat and Power Economic Dispatch (CHPED); Seeker Optimization Algorithm (SOA); Bacteria Foraging Optimization Algorithm (BFOA)
