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An integrated electric power supply chain and fuel market network framework: Theoretical modeling with empirical analysis for New England

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  • Zugang Liu
  • Anna Nagurney

Abstract

In this article, we develop a novel electric power supply chain network model with fuel supply markets that captures both the economic network transactions in energy supply markets and the physical network transmission constraints in the electric power network. The theoretical derivation and analysis are done using the theory of variational inequalities. We then apply the model to a specific case, the New England electric power supply chain, consisting of six states, five fuel types, 82 power generators, with a total of 573 generating units, and 10 demand market regions. The empirical case study demonstrates that the regional electric power prices simulated by our model match the actual electricity prices in New England very well. We also compute the electric power prices and the spark spread, an important measure of the power plant profitability, under natural gas and oil price variations. The empirical examples illustrate that in New England, the market/grid‐level fuel competition has become the major factor that affects the influence of the oil price on the natural gas price. Finally, we utilize the model to quantitatively investigate how changes in the demand for electricity influence the electric power and the fuel markets from a regional perspective. The theoretical model can be applied to other regions and multiple electricity markets under deregulation to quantify the interactions in electric power/energy supply chains and their effects on flows and prices. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009

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  • Zugang Liu & Anna Nagurney, 2009. "An integrated electric power supply chain and fuel market network framework: Theoretical modeling with empirical analysis for New England," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(7), pages 600-624, October.
    • Handle: RePEc:wly:navres:v:56:y:2009:i:7:p:600-624
    DOI: 10.1002/nav.20363
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    Cited by:

    1. Sumeet Sahay & Hemant Kumar Kaushik & Shikha Singh, 2023. "Discovering themes and trends in electricity supply chain area research," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1525-1560, September.
    2. Zugang Liu & Anna Nagurney, 2013. "Supply chain networks with global outsourcing and quick-response production under demand and cost uncertainty," Annals of Operations Research, Springer, vol. 208(1), pages 251-289, September.
    3. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Shahbazbegian, Vahid, 2020. "Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty," Applied Energy, Elsevier, vol. 280(C).
    4. Guo, Zhaomiao & Fan, Yueyue, 2017. "A Stochastic Multi-Agent Optimization Model for Energy Infrastructure Planning Under Uncertainty and Competition," Institute of Transportation Studies, Working Paper Series qt89s5s8hn, Institute of Transportation Studies, UC Davis.
    5. Liu, Zugang & Wang, Jia, 2019. "Supply chain network equilibrium with strategic financial hedging using futures," European Journal of Operational Research, Elsevier, vol. 272(3), pages 962-978.
    6. Anna Nagurney & Dong Li, 2015. "A supply chain network game theory model with product differentiation, outsourcing of production and distribution, and quality and price competition," Annals of Operations Research, Springer, vol. 226(1), pages 479-503, March.

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