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Analysing the impact of diverse factors on electricity generation cost: Insights from Sri Lanka

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  • Colambage, D. Punsara
  • Wijayapala, W.D. Anura S.
  • Siyambalapitiya, Tilak

Abstract

The primary responsibility of a power system utility is to provide continuous, high-quality electricity at a fair and competitive price. To maintain low generation costs while utilising diverse energy sources, optimisation methodologies are crucial. Water value and generation costs exhibit significant variability on seasonal, daily and timely basis and reflect dynamic interactions between electricity demand and power plant availability. Currently, power system planners often overlook these seasonal and time-of day dependent variations in water value and generation costs. This research paper addresses this gap by analysing how fluctuations in electricity demand and power plant availability affect generation costs in the Sri Lankan power system. It introduces a novel economic dispatch model and presents three methods for estimating water value to calculate seasonal and time-of-day electricity costs. The discussion highlights how these findings can utilise policymaking, particularly in the context of electricity pricing debates and water management for agriculture versus electricity generation, as well as in calculating the water value for each reservoir.

Suggested Citation

  • Colambage, D. Punsara & Wijayapala, W.D. Anura S. & Siyambalapitiya, Tilak, 2024. "Analysing the impact of diverse factors on electricity generation cost: Insights from Sri Lanka," Energy, Elsevier, vol. 311(C).
    • Handle: RePEc:eee:energy:v:311:y:2024:i:c:s0360544224032274
    DOI: 10.1016/j.energy.2024.133451
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    References listed on IDEAS

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    1. Chen, Hai-Bao & Pei, Ling-Ling & Zhao, Yu-Feng, 2021. "Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach," Energy, Elsevier, vol. 222(C).
    2. Peacock, Malcolm & Fragaki, Aikaterini & Matuszewski, Bogdan J, 2023. "The impact of heat electrification on the seasonal and interannual electricity demand of Great Britain," Applied Energy, Elsevier, vol. 337(C).
    3. Cédric Terrier & Joseph René Hubert Loustau & Dorsan Lepour & François Maréchal, 2024. "From Local Energy Communities towards National Energy System: A Grid-Aware Techno-Economic Analysis," Energies, MDPI, vol. 17(4), pages 1-16, February.
    4. Pablo Benalcazar & Marcin Malec & Przemysław Kaszyński & Jacek Kamiński & Piotr W. Saługa, 2024. "Electricity Cost Savings in Energy-Intensive Companies: Optimization Framework and Case Study," Energies, MDPI, vol. 17(6), pages 1-16, March.
    5. Hashemi, Seyed Mohsen & Tabarzadi, Mahdi & Fallahi, Farhad & Rostam Niakan Kalhori, Masoumeh & Abdollahzadeh, Davood & Qadrdan, Meysam, 2024. "Water and emission constrained generation expansion planning for Iran power system," Energy, Elsevier, vol. 288(C).
    6. Yinghao Shan & Liqian Ma & Xiangkai Yu, 2023. "Hierarchical Control and Economic Optimization of Microgrids Considering the Randomness of Power Generation and Load Demand," Energies, MDPI, vol. 16(14), pages 1-23, July.
    7. Peipei You & Sitao Li & Chengren Li & Chao Zhang & Hailang Zhou & Huicai Wang & Huiru Zhao & Yihang Zhao, 2023. "Price-Based Demand Response: A Three-Stage Monthly Time-of-Use Tariff Optimization Model," Energies, MDPI, vol. 16(23), pages 1-20, November.
    8. Kanyako, Franklyn & Lamontagne, Jonathan & Baker, Erin & Turner, Sean & Wild, Thomas, 2023. "Seasonality and trade in hydro-heavy electricity markets: A case study with the West Africa Power Pool (WAPP)," Applied Energy, Elsevier, vol. 329(C).
    Full references (including those not matched with items on IDEAS)

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