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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Veröffentlicht in:International Journal of Power Electronics and Drive Systems Jg. 13; H. 4; S. 2498
Hauptverfasser: Periasamy, Madhumathi, Kaliannan, Thenmalar, Selvaraj, Shobana, Manickam, Veerasundaram, Joseph, Sheela Androse, Albert, Johny Renoald
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Yogyakarta IAES Institute of Advanced Engineering and Science 01.12.2022
Schlagworte:
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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Abstract 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.
AbstractList 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.
Author Albert, Johny Renoald
Manickam, Veerasundaram
Periasamy, Madhumathi
Kaliannan, Thenmalar
Joseph, Sheela Androse
Selvaraj, Shobana
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  surname: Manickam
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  givenname: Sheela Androse
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  surname: Albert
  fullname: Albert, Johny Renoald
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StartPage 2498
SubjectTerms Algorithms
Alternative energy sources
Energy resources
Heat balance
Multiple objective analysis
Optimization
Optimization techniques
Pollutants
Power flow
Renewable energy sources
Renewable resources
Title Various PSO methods investigation in renewable and nonrenewable sources
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