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Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach

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  • Behboodi, Sahand
  • Chassin, David P.
  • Djilali, Ned
  • Crawford, Curran

Abstract

This paper describes a new approach for solving the multi-area electricity resource allocation problem when considering both intermittent renewables and demand response. The method determines the hourly inter-area export/import set that maximizes the interconnection (global) surplus satisfying transmission, generation and load constraints. The optimal inter-area transfer set effectively makes the electricity price uniform over the interconnection apart from constrained areas, which overall increases the consumer surplus more than it decreases the producer surplus. The method is computationally efficient and suitable for use in simulations that depend on optimal scheduling models. The method is demonstrated on a system that represents North America Western Interconnection for the planning year of 2024. Simulation results indicate that effective use of interties reduces the system operation cost substantially. Excluding demand response, both the unconstrained and the constrained scheduling solutions decrease the global production cost (and equivalently increase the global economic surplus) by $12.30B and $10.67B per year, respectively, when compared to the standalone case in which each control area relies only on its local supply resources. This cost saving is equal to 25% and 22% of the annual production cost. Including 5% demand response, the constrained solution decreases the annual production cost by $10.70B, while increases the annual surplus by $9.32B in comparison to the standalone case.

Suggested Citation

  • Behboodi, Sahand & Chassin, David P. & Djilali, Ned & Crawford, Curran, 2017. "Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach," Applied Energy, Elsevier, vol. 189(C), pages 336-351.
  • Handle: RePEc:eee:appene:v:189:y:2017:i:c:p:336-351
    DOI: 10.1016/j.apenergy.2016.12.052
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    Cited by:

    1. Junchao Yang & Li Li, 2024. "Micro-Energy Grid Energy Utilization Optimization with Electricity and Heat Storage Devices Based on NSGA-III Algorithm," Energies, MDPI, vol. 17(22), pages 1-20, November.
    2. Märkle-Huß, Joscha & Feuerriegel, Stefan & Neumann, Dirk, 2018. "Large-scale demand response and its implications for spot prices, load and policies: Insights from the German-Austrian electricity market," Applied Energy, Elsevier, vol. 210(C), pages 1290-1298.
    3. Jing Wu & Zhongfu Tan & Keke Wang & Yi Liang & Jinghan Zhou, 2021. "Research on Multi-Objective Optimization Model for Hybrid Energy System Considering Combination of Wind Power and Energy Storage," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
    4. Amrollahi, Mohammad Hossein & Bathaee, Seyyed Mohammad Taghi, 2017. "Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response," Applied Energy, Elsevier, vol. 202(C), pages 66-77.
    5. Chassin, David P. & Behboodi, Sahand & Djilali, Ned, 2018. "Optimal subhourly electricity resource dispatch under multiple price signals with high renewable generation availability," Applied Energy, Elsevier, vol. 213(C), pages 262-271.
    6. Baum, Zvi & Palatnik, Ruslana Rachel & Ayalon, Ofira & Elmakis, David & Frant, Shimon, 2019. "Harnessing households to mitigate renewables intermittency in the smart grid," Renewable Energy, Elsevier, vol. 132(C), pages 1216-1229.
    7. Joseph Akpan & Oludolapo Olanrewaju, 2023. "Towards a Common Methodology and Modelling Tool for 100% Renewable Energy Analysis: A Review," Energies, MDPI, vol. 16(18), pages 1-42, September.
    8. Chassin, David P. & Behboodi, Sahand & Shi, Yang & Djilali, Ned, 2017. "H2-optimal transactive control of electric power regulation from fast-acting demand response in the presence of high renewables," Applied Energy, Elsevier, vol. 205(C), pages 304-315.
    9. Behboodi, Sahand & Chassin, David P. & Djilali, Ned & Crawford, Curran, 2018. "Transactive control of fast-acting demand response based on thermostatic loads in real-time retail electricity markets," Applied Energy, Elsevier, vol. 210(C), pages 1310-1320.

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