Crisscross Optimization (CSO) Based Short-Term Conventional Generation Scheduling Incorporating Renewable Energy
Crisscross Optimization (CSO) Based Short-Term Conventional Generation Scheduling Incorporating Renewable Energy
- Author(s): S. Choudhary 1 and S. Ghoshal 1
- DOI: 10.1049/icp.2021.1139
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- Author(s): S. Choudhary 1 and S. Ghoshal 1
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View affiliations
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Affiliations:
1:
Electrical Engineering Department, Dr. B. C. Roy Engineering College , Durgapur , India
Source:
Michael Faraday IET International Summit 2020 (MFIIS 2020),
2021
p.
213 – 218
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Affiliations:
1:
Electrical Engineering Department, Dr. B. C. Roy Engineering College , Durgapur , India
- Conference: Michael Faraday IET International Summit 2020 (MFIIS 2020)
- DOI: 10.1049/icp.2021.1139
- ISBN: 978-1-83953-523-9
- Location: Online Conference
- Conference date: 03-04 October 2020
- Format: PDF
Integration of renewable energy sources into conventional generation scheduling by considering economic and several environmental factors constitutes a multi-objective nonlinear optimization problem including several equality and inequality constraints. Main objective regarding generation scheduling is encountered in attaining least emission of pollutants at a reduced cost for short-term period maintaining the system constraints. This paper proposes a methodology of the short-term hydro-thermal-wind generation scheduling (ST-HTWGS) problem based on Crisscross optimization (CSO) algorithm. The simulation results indicate that proposed CSO algorithm provides a better solution regarding in terms of economy and at a reduced emission than the existing heuristic methods including various complex constraints of ST-HTWGS problems.
Inspec keywords: thermal power stations; nonlinear programming; power generation economics; hydrothermal power systems; renewable energy sources; power generation scheduling; pollution control; wind power plants
Subjects: Hydroelectric power stations and plants; Power system management, operation and economics; Wind power plants; Optimisation techniques; Thermal power stations and plants