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Heat Transfer Search Algorithm for Combined Heat and Power Economic Dispatch
Iranian Journal of Science and Technology, Transactions of Electrical Engineering ( IF 1.5 ) Pub Date : 2019-10-29 , DOI: 10.1007/s40998-019-00280-w
Jagat Kishore Pattanaik , Mousumi Basu , Deba Prasad Dash

This paper suggests heat transfer search (HTS) algorithm for solving complicated combined heat and power economic dispatch (CHPED) problem. The valve point effect, prohibited operating zones of conventional thermal generators and transmission loss are taken into consideration. The main objective of the CHPED problem is to minimize the total fuel cost for producing electricity and heat supplying to a load demand. HTS is a novel meta-heuristic optimization algorithm that is based on the law of thermodynamics and heat transfer. The efficiency of the suggested HTS algorithm has been confirmed on four test systems. Test results of the suggested HTS algorithm have been compared with those achieved by other evolutionary algorithms. It has been observed from the comparison that the suggested HTS algorithm has the ability to offer superior solution.

中文翻译:

热电联产经济调度传热搜索算法

本文提出了用于解决复杂的热电联产经济调度 (CHPED) 问题的传热搜索 (HTS) 算法。考虑了阀点效应、传统热力发电机的禁止运行区域和传输损失。CHPED 问题的主要目标是最小化生产电力和供热以满足负载需求的总燃料成本。HTS 是一种基于热力学和传热定律的新型元启发式优化算法。建议的 HTS 算法的效率已在四个测试系统上得到证实。已将建议的 HTS 算法的测试结果与其他进化算法的测试结果进行了比较。从比较中可以看出,建议的 HTS 算法具有提供卓越解决方案的能力。
更新日期:2019-10-29
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