Optimal integration of renewable energy sources, diesel generators, and demand response program from pollution, financial, and reliability viewpoints: A multi-objective approach
Autor: | Ali Bidram, Tohid Khalili, Amirreza Jafari, Hamed Ganjeh Ganjehlou |
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Rok vydání: | 2020 |
Předmět: |
Finance
Wind power Renewable Energy Sustainability and the Environment business.industry Cost of operation Computer science 020209 energy Strategy and Management 05 social sciences Photovoltaic system Scheduling (production processes) 02 engineering and technology Industrial and Manufacturing Engineering Renewable energy Demand response Electric power system 050501 criminology 0202 electrical engineering electronic engineering information engineering Cleaner production business 0505 law General Environmental Science |
Zdroj: | Journal of Cleaner Production. 247:119100 |
ISSN: | 0959-6526 |
DOI: | 10.1016/j.jclepro.2019.119100 |
Popis: | In electric power systems, operators should account for the optimal operation of generation units to accommodate an efficient system with cleaner productions. In this paper, annual simultaneous planning and scheduling of generation resources are considered to determine the optimal capacity and type of the generation resources for microgrids (MGs). In the proposed approach, renewable energy sources (RESs), including wind turbines (WT) and photovoltaic systems (PVs), are incorporated in addition to diesel generators in each bus of the MG. The power loss of the MG is calculated by applying the Kron’s loss formula. Three different categories of loads are considered. The impact of consumer’s role on the performance of the demand response program (DRP) is also analyzed. Because of the stochastic nature of RESs, which influences the reliability, the impact of DRP on the energy not supplied (ENS) is studied. The proposed multi-objective model includes several conflicting objective functions including ENS, pollution, DRP, and operational costs. This model is solved by the e-constraints method and optimized employing the exchange market algorithm (EMA). Simulation results highlight the impact of the generation resources’ types on the cost of operation, pollution, reliability, and power loss in the MG. The proposed approach will result in a system with cleaner production and improved financial condition. |
Databáze: | OpenAIRE |
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