Improved group search optimization method for solving CHPED in large scale power systems
•IGSO is proposed in order to improve searching ability of conventional GSO.•CHP economic dispatch problem is solved using IGSO.•Proposed method is applied to some benchmark test functions and test power systems.•Heat–power dependency, transmission loss, valve-point and prohibited zones are consider...
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Published in: | Energy conversion and management Vol. 80; pp. 446 - 456 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Kidlington
Elsevier Ltd
01-04-2014
Elsevier |
Subjects: | |
Online Access: | Get full text |
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Summary: | •IGSO is proposed in order to improve searching ability of conventional GSO.•CHP economic dispatch problem is solved using IGSO.•Proposed method is applied to some benchmark test functions and test power systems.•Heat–power dependency, transmission loss, valve-point and prohibited zones are considered.•Comparative results confirm efficiency of the proposed IGSO.
This paper presents an improved heuristic algorithm for solving combined heat and power economic dispatch (CHPED) problem in large scale power systems, by employing improved group search optimization (IGSO) method. The basic deficiency of the original GSO algorithm is the fact that, it gives a near optimal solution rather than an optimal one in a limited runtime period. In this paper, some modifications have been applied to the original GSO in order to improve its searching ability. In this work, a sinusoidal term is employed to consider the valve-point effects and Kron’s formula is used in order to consider the transmission losses. Moreover, prohibited operating zones of power-only units are considered. The effectiveness and accuracy of the proposed method for solving the non-linear and non-convex problems is validated by carrying out simulation studies on sample benchmark test cases and three large scale power systems. Numerical results indicate that proposed method has the better performance in comparison with original GSO and some recently published papers. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0196-8904 1879-2227 |
DOI: | 10.1016/j.enconman.2014.01.051 |