Multi-objective centralization-decentralization trade-off analysis for multi-source renewable electricity generation expansion planning: A case study of Iran
نویسندگان
چکیده
Countries need robust long-term plans to keep up with the global pace of transitioning from pollutant fossil fuels towards clean, renewable energies. Renewable energy generation expansion can be either centralized, decentralized, or a combination these two. This paper presents novel approach obtain an optimal multi-period plan for generating each type (solar, wind, hydro, geothermal, and biomass) via multi-objective mathematical modeling. The proposed model has integrated Autoregressive Integrated Moving Average (ARIMA) econometric method forecast country’s demand during planning horizon. mix based on several socio-economic aspects sources was obtained using Passive Active Compensability Multicriteria ANalysis (PACMAN) multi-attribute decision-making method. been solved by Non-dominated Sorting Genetic Algorithm (NSGA-II) metaheuristic algorithm. Each solution in Pareto front contains electricity region under certain centralization decentralization strategies.
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ژورنال
عنوان ژورنال: Computers & Industrial Engineering
سال: 2022
ISSN: ['0360-8352', '1879-0550']
DOI: https://doi.org/10.1016/j.cie.2021.107870