Hybrid Bio-Inspired Computational Heuristic Paradigm for Integrated Load Dispatch Problems Involving Stochastic Wind

Raheela Jamal, Baohui Men, Noor Habib Khan and Muhammad Asif Zahoor Raja
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Raheela Jamal: Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Renewable Energy School, Beijing 102206, China
Baohui Men: Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Renewable Energy School, Beijing 102206, China
Noor Habib Khan: Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Renewable Energy School, Beijing 102206, China
Muhammad Asif Zahoor Raja: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock 43600, Pakistan

Energies, 2019, vol. 12, issue 13, 1-23

Abstract: In this research work, bio-inspired computational heuristic algorithms (BCHAs) integrated with active-set algorithms (ASA) were designed to study integrated economics load dispatch problems with valve point effects involving stochastic wind power. These BCHAs are developed through variants of genetic algorithms based on a different set of routines for reproduction operators in order to make exploration and exploitation in the entire search space for finding the global optima, while the ASA is used for rapid local refinements of the results. The designed schemes are estimated on different load dispatch systems consisting of a combination of thermal generating units and wind power plants with and without valve point loading effects. The accuracy, convergence, robustness and complexity of the proposed schemes has been examined through comparative studies based on a sufficiently large number of independent trails and their statistical observations in terms of different performance indices.

Keywords: integrated power plants systems; economic load dispatch; active-set method; genetic algorithm; wind energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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