Abstract
This paper proposes an effective oppositional Real Coded Chemical Reaction algorithm (ORCCRO) to solve Economic Load Dispatch (ELD) problems involving different equality and inequality constraints. Effects of valve-point loading, multi-fuel options of large-scale thermal plants are also studied. System transmission loss has also been considered in few cases. Chemical Reaction Optimization (CRO) imitates the interaction of molecules in a chemical reaction to reach from a higher energy unstable state to a low energy stable state. A real coded version of it, known as Real-coded chemical reaction optimization (RCCRO). Oppositional based RCCRO (ORCCRO) have been used here to improve the effectiveness and quality of solutions in minimum time. The proposed opposition-based RCCRO (ORCCRO) of the present work employs opposition-based learning for population initialization and also for generation wise update operation. In the present work, quasi-opposite numbers have been utilized instead of pseudo random numbers to improve the convergence rate of the RCCRO. Simulation results establish that the proposed approach outperforms several other existing optimization techniques in terms quality of solution obtained and computational efficiency. Results also prove the robustness of the proposed methodology to solve ELD problems.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Electrical Power & Energy Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.