NDLI: Economic emission dispatch of hydro-thermal-wind using CMQLSPSN technique

Content Provider	IET Digital Library
Author	Robert, Leena Rose Singh, Lal Raja Singh Ravi
Abstract	This study presents a multi-objective based on a hybrid methodology to apply the problem of economic emission dispatch that is incorporated with hydro, thermal and wind power units. The hybrid method is the combination of both the modified quantum-behaviour lightning search algorithm (MQLSA) and artificial intelligence technique with the help of PSNN. To determine the optimal amounts of the generated powers from the thermal, wind farms and hydro units, the proposed approach is introduced by minimising the cost of generation and the emission level simultaneously. MQLSA is utilised to generate the optimal combination of thermal power with the objective of the minimum error function to minimise the fuel and emission cost of the system with wind speed factor. To capture the optimised wind power with the objective of minimum speed factor, the PSO-artificial neural network technique is utilised. The algorithm is integrated with the feasible solution constraint handling techniques. To validate the effectiveness of the proposed method, the six and ten generating thermal system with wind power is studied. The proposed hybrid technique is implemented in MATLAB/Simulink platform and the simulation result demonstrates the superiority of the proposed method compared to the various existing techniques.
Starting Page	2680
Ending Page	2692
Page Count	13
ISSN	17521416
Volume Number	14
e-ISSN	17521424
Issue Number	Issue 14, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/14/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.1232
Journal	IET Renewable Power Generation
Publisher Date	2020-07-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Intelligence Artificial Intelligence Technique CMQLSPSN Technique Economic Emission Dispatch Emission Cost Emission Level Generated Powers Hybrid Methodology Hybrid Technique Hydro Power Units Hydro-thermal-wind Hydroelectric Generator Hydroelectric Power Stations And Plant MATLAB-Simulink Platform Minimum Error Function Modified Quantum-behaviour Lightning Search Algorithm MQLSA Neural Computing Technique Neural Nets Optimisation Technique Optimised Wind Power Particle Swarm Optimisation Particle Swarm Optimisation Technique Power Engineering Computing Power Generation Dispatch Power Generation Economics Power System Economics Power System Managemen Power System Operation PSO-artificial Neural Network Technique Thermal Power Stations Thermal Power Stations And Plant Thermal Power Units Thermal System Thermal Wind Farms Wind Power Plant Wind Power Units Wind Speed Factor
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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