An inexact fractional multi-stage programming (IFMSP) method for planning renewable electric power system

The growing levels of greenhouse gas (GHG) emissions have made renewable energy sources a crucial aspect of power generation, especially in developing countries. However, with more investment in additional renewable energy components and the mandatory decommissioning requirement of the thermal stati...

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Veröffentlicht in:Renewable & sustainable energy reviews Jg. 187; S. 113611
Hauptverfasser: Lin, Xiajing, Huang, Guohe, Zhou, Xiong, Zhai, Yuanyuan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.11.2023
Schlagworte:
Developing country
Greenhouse gas (GHG) emissions
Interval programming
Linear fractional programming
Non-coal-fired technology
Stochastic multi-stage programming
Non-coal-fired technology
Interval programming
Greenhouse gas (GHG) emissions
Developing country
Linear fractional programming
Stochastic multi-stage programming
ISSN:1364-0321, 1879-0690
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Zusammenfassung:The growing levels of greenhouse gas (GHG) emissions have made renewable energy sources a crucial aspect of power generation, especially in developing countries. However, with more investment in additional renewable energy components and the mandatory decommissioning requirement of the thermal stations, the uncertainty of renewable energy availability and the changeable policy environment have brought great complexity to the electric power systems. Hence, an innovative approach, the inexact fractional multistage programming (IFMSP), has been proposed to address the challenges of electric power system planning in transitioning to clean energy, specifically in South Africa from 2021 to 2050. The IFMSP approach balances economic benefits and GHG emission mitigation, providing a more constrained optimum interval solution than binary integer programming. The results illustrated a decline in the expansion of conventional energy sources, with natural gas, wind energy and solar energy taking the place of thermal power generation. In terms of performance, solar power ranks second to wind. By assessing various expansion scenarios, it is demonstrated that zero nuclear energy growth would yield more competitive economic advantages and fewer GHG emissions than no geothermal expansion, whereas a 20% increase in gas expansion capacity would achieve the most optimal ratio at [304.2, 317.3] (Rand/t CO2 eq). By utilizing the proposed approach, decision-makers in developing countries can generate multiple expansion scenarios for Belt and Road Initiative (BRI) investments. This enables them to identify generation modes, capacity expansion schemes, financial planning, and carbon tax regulations, even under complex uncertainties. •The Inexact Fractional Multi-Stage Programming (IFMSP) method is proposed.•The decommission volume of coal-fired technology is considered.•The penalty for the external greenhouse gas (GHG) emissions is evaluated.•A dependable expansion interval and a set of expansion possibilities are obtained.•The model is applicable to non-coal-fired energy systems.
ISSN:1364-0321
1879-0690
DOI:10.1016/j.rser.2023.113611