Economic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer
In the present paper, a novel meta-heuristic algorithm, namely quasi-oppositional search-based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective economic and emission load dispatch problem (EELDP). In the proposed QOPO technique, an opposite estimate candidate sol...
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oai:doaj.org-article:c5dc3132cd374a63ae0dc88d68426d522021-11-11T15:37:27ZEconomic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer10.3390/electronics102125962079-9292https://doaj.org/article/c5dc3132cd374a63ae0dc88d68426d522021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2596https://doaj.org/toc/2079-9292In the present paper, a novel meta-heuristic algorithm, namely quasi-oppositional search-based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective economic and emission load dispatch problem (EELDP). In the proposed QOPO technique, an opposite estimate candidate solution is performed simultaneously on each candidate solution of the political optimizer to find a better solution of EELDP. In the bi-objective EELDP, QOPSO is applied to simultaneously minimize fuel costs and emissions by considering various constraints such as the valve-point loading effect (VPLE) and generator limits for a generation. The effectiveness of the proposed QOPO technique has been applied on three units, six units, 10-units, 11-units, 13-units, and 40-unit systems by considering the VPLE, transmission line losses, and generator limits. The results obtained using the proposed QOPO are compared with those obtained by other techniques reported in the literature. The relative results divulge that the proposed QOPO technique has a good exploration and exploitation capability to determine the optimal global solution compared to the other methods provided in the literature without violation of any constraints and bounded limits.Vedik BasettiShriram S. RangarajanChandan Kumar ShivaHarish PulluriRitesh KumarRandolph E. CollinsTomonobu SenjyuMDPI AGarticlepolitical optimizereconomic load dispatchvalve-point effectquasi-oppositional learningElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2596, p 2596 (2021) |
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political optimizer economic load dispatch valve-point effect quasi-oppositional learning Electronics TK7800-8360 |
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political optimizer economic load dispatch valve-point effect quasi-oppositional learning Electronics TK7800-8360 Vedik Basetti Shriram S. Rangarajan Chandan Kumar Shiva Harish Pulluri Ritesh Kumar Randolph E. Collins Tomonobu Senjyu Economic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer |
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In the present paper, a novel meta-heuristic algorithm, namely quasi-oppositional search-based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective economic and emission load dispatch problem (EELDP). In the proposed QOPO technique, an opposite estimate candidate solution is performed simultaneously on each candidate solution of the political optimizer to find a better solution of EELDP. In the bi-objective EELDP, QOPSO is applied to simultaneously minimize fuel costs and emissions by considering various constraints such as the valve-point loading effect (VPLE) and generator limits for a generation. The effectiveness of the proposed QOPO technique has been applied on three units, six units, 10-units, 11-units, 13-units, and 40-unit systems by considering the VPLE, transmission line losses, and generator limits. The results obtained using the proposed QOPO are compared with those obtained by other techniques reported in the literature. The relative results divulge that the proposed QOPO technique has a good exploration and exploitation capability to determine the optimal global solution compared to the other methods provided in the literature without violation of any constraints and bounded limits. |
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article |
author |
Vedik Basetti Shriram S. Rangarajan Chandan Kumar Shiva Harish Pulluri Ritesh Kumar Randolph E. Collins Tomonobu Senjyu |
author_facet |
Vedik Basetti Shriram S. Rangarajan Chandan Kumar Shiva Harish Pulluri Ritesh Kumar Randolph E. Collins Tomonobu Senjyu |
author_sort |
Vedik Basetti |
title |
Economic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer |
title_short |
Economic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer |
title_full |
Economic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer |
title_fullStr |
Economic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer |
title_full_unstemmed |
Economic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer |
title_sort |
economic emission load dispatch problem with valve-point loading using a novel quasi-oppositional-based political optimizer |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/c5dc3132cd374a63ae0dc88d68426d52 |
work_keys_str_mv |
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