Solution of Solar Integrated Economic Load Dispatch Problems using COVID-19 Algorithm
7th IEEE International conference for Convergence in Technology, I2CT 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-1992609
ABSTRACT
Electrical power dispatch at a minimum cost of operation has been a challenging issue for thermal power stations and has research work has been carried out for decades. It has been observed that day by day resources of conventional energy are depleting so, the world is shifting towards renewable energy sources. This paper presents a novel technique COVID-19 Optimizer Algorithm (CVA) for solving the economic load dispatch problem of solar generation systems and thermal generating plants of a power system. The proposed method can be considered for solving the various types of economic load dispatch (ELD) problem considering numerous constraints viz. ramp rate limit & prohibited operating zones. Simulation results proved that the technique proposed performs way better than other modern optimization algorithms both in terms of quality of result obtained as well as computational efficiency. The robust nature of the CVA technique in solving solar integrated ELD problems can be inferred from the results. © 2022 IEEE.
COVID-19 Optimizer Algorithm; economic load dispatch; prohibited operating Zone; ramp rate limits; solar energy; Computational efficiency; Electric load dispatching; Electric power plant loads; Solar power generation; Thermoelectric power plants; Cost of operations; Economic load dispatch problem; Electrical power; Minimum cost; Optimizers; Power dispatch; COVID-19
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
7th IEEE International conference for Convergence in Technology, I2CT 2022
Year:
2022
Document Type:
Article
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