Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm-assisted dispatch model
Cost benefit analysis; Cost functions; Costs; Diesel engines; Economic analysis; Electric load dispatching; Electric power system economics; Electric power transmission networks; Genetic algorithms; Iterative methods; Natural resources; Renewable energy resources; Solar power generation; Cost analys...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
John Wiley and Sons Ltd
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-26844 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-268442023-05-29T17:37:09Z Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm-assisted dispatch model Somakumar R. Kasinathan P. Monicka G. Rajagopalan A. Ramachandaramurthy V.K. Subramaniam U. 57494441300 57194393495 57191916704 57194865787 6602912020 57199091461 Cost benefit analysis; Cost functions; Costs; Diesel engines; Economic analysis; Electric load dispatching; Electric power system economics; Electric power transmission networks; Genetic algorithms; Iterative methods; Natural resources; Renewable energy resources; Solar power generation; Cost analysis; Dispatch model; Economics analysis; Emission costs; High demand; Meta-heuristics algorithms; Microgrid; Optimisations; Power grids; Renewable energy source; Fuel cells Electric vehicles (EVs) have witnessed a steady and continuous rise in the last few years. The increased prevalence of EVs results in high demand for electricity from the power grid and it can be effectively handled by combining EV charging infrastructure with renewable energy sources (RES). However, the intermittent characteristic of RES introduces an additional challenge to the power grid. This paper proposes a metaheuristic algorithm called self-adaptive elephant herd optimization algorithm (SA-EHO) to achieve the desired dispatch model of microgrid (MG) with EVs and RES. The proposed algorithm optimizes both economic and emission cost of MG which comprises diesel engine (DE), solar photovoltaic (PV), EVs, fuel cell (FC), wind turbine (WT), and loads. The output constraints associated with a distributed power supply such as power limits of distributed generators (DG) and charging of EVs followed by its discharging are subjected to optimization. Finally, the performance of the proposed model is compared and proved over other existing models. Especially, a minimal total cost of the proposed model is 16.79%, 21.58%, 20%, 26.67%, and 1.33% superior to traditional HSA, GA, EHO, MSA, and FS-MSA models at 100th iteration. Furthermore, the reserved cost of the proposed scheme for the third scenario is 77.78%, 90.91%, 85.71%, 90.91%, and 90.91% superior to existing models such as HSA, GA, EHO, MSA, and FS-MSA, respectively. � 2022 John Wiley & Sons, Ltd. Final 2023-05-29T09:37:09Z 2023-05-29T09:37:09Z 2022 Article 10.1002/jnm.2993 2-s2.0-85126107532 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126107532&doi=10.1002%2fjnm.2993&partnerID=40&md5=629980ddc8a5a1cf5b712a57b90bc8e1 https://irepository.uniten.edu.my/handle/123456789/26844 35 4 e2993 John Wiley and Sons Ltd Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| description |
Cost benefit analysis; Cost functions; Costs; Diesel engines; Economic analysis; Electric load dispatching; Electric power system economics; Electric power transmission networks; Genetic algorithms; Iterative methods; Natural resources; Renewable energy resources; Solar power generation; Cost analysis; Dispatch model; Economics analysis; Emission costs; High demand; Meta-heuristics algorithms; Microgrid; Optimisations; Power grids; Renewable energy source; Fuel cells |
| author2 |
57494441300 |
| author_facet |
57494441300 Somakumar R. Kasinathan P. Monicka G. Rajagopalan A. Ramachandaramurthy V.K. Subramaniam U. |
| format |
Article |
| author |
Somakumar R. Kasinathan P. Monicka G. Rajagopalan A. Ramachandaramurthy V.K. Subramaniam U. |
| spellingShingle |
Somakumar R. Kasinathan P. Monicka G. Rajagopalan A. Ramachandaramurthy V.K. Subramaniam U. Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm-assisted dispatch model |
| author_sort |
Somakumar R. |
| title |
Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm-assisted dispatch model |
| title_short |
Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm-assisted dispatch model |
| title_full |
Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm-assisted dispatch model |
| title_fullStr |
Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm-assisted dispatch model |
| title_full_unstemmed |
Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm-assisted dispatch model |
| title_sort |
optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm-assisted dispatch model |
| publisher |
John Wiley and Sons Ltd |
| publishDate |
2023 |
| _version_ |
1806424326217400320 |
| score |
13.222552 |