Journal
APPLIED THERMAL ENGINEERING
Volume 99, Issue -, Pages 465-475Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2015.12.136
Keywords
Combined heat and power (CHP); Economic dispatch; Real code genetic algorithm (RCGA); Non-convex optimization problem
Funding
- Department of Small Industries
- East Azarbayjan Industrial Estates Company (EAIEC)
- Iran Small Industries and Industrial Parks Organization (ISIPO)
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The combined heat and power economic dispatch (CHPED) is a complicated optimization problem which determines the production of heat and power units to obtain the minimum production costs of the system, satisfying the heat and power demands and considering operational constraints. This paper presents a real coded genetic algorithm with improved Muhlenbein mutation (RCGA-IMM) for solving CHPED optimization task. Muhlenbein mutation is implemented on basic RCGA for speeding up the convergence and improving the optimization problem results. To evaluate the performance features, the proposed RCGA-IMM procedure is employed on six benchmark functions. The effect of valve-point and transmission losses is considered in cost function and four test systems are presented to demonstrate the effectiveness and superiority of the proposed method. In all test cases the obtained solutions utilizing RCGA-IMM optimization method are feasible and in most instances express a marked improvement over the provided results by recent works in this area. (C) 2016 Elsevier Ltd. All rights reserved.
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