Various PSO methods investigation in renewable and nonrenewable sources

Optimization structures are mostly considered for resolving multi-objective difficulties similar to cost, emission, and financial load dispatch in various energy sources. Non-renewable energy sources (NRES) emit harmful gases like CO2, and methane. which results in air pollutants, so various techniq...

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Vydáno v:International Journal of Power Electronics and Drive Systems Ročník 13; číslo 4; s. 2498
Hlavní autoři: Periasamy, Madhumathi, Kaliannan, Thenmalar, Selvaraj, Shobana, Manickam, Veerasundaram, Joseph, Sheela Androse, Albert, Johny Renoald
Médium: Journal Article
Jazyk:angličtina
Vydáno: Yogyakarta IAES Institute of Advanced Engineering and Science 01.12.2022
Témata:
Algorithms
Alternative energy sources
Energy resources
Heat balance
Multiple objective analysis
Optimization
Optimization techniques
Pollutants
Power flow
Renewable energy sources
Renewable resources
ISSN:2088-8694, 2722-256X, 2088-8694
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Shrnutí:Optimization structures are mostly considered for resolving multi-objective difficulties similar to cost, emission, and financial load dispatch in various energy sources. Non-renewable energy sources (NRES) emit harmful gases like CO2, and methane. which results in air pollutants, so various techniques are used in survey papers. By considering optimization techniques, the multi-objective problems are reduced in renewable energy sources (RES) and NRES. Implementing these techniques in RES and NRES will define the proper objective function. Hybrid algorithms are used for solving multi-objective problems like cost, pollutant emission, price penalty factor, valve point, ramp rates, and constraints like generator, power flow, power balance, and heat balance. A fuzzy system is used in numerous surveys for controlling purpose, superiority, and efficiency over other controllers. Subsequently summarized three types of sources like RES, RES-NRES, and NRES for easy identification of techniques and problems. This study reviews various techniques and mathematical modeling of algorithms for future research.
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ISSN:2088-8694
2722-256X
2088-8694
DOI:10.11591/ijpeds.v13.i4.pp2498-2505