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Assessing the financial impacts of distributed energy on load serving entities

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  • Wang, Zeyu
  • Negash, Ahlmahz
  • Kirschen, Daniel

Abstract

This article analyzes the financial impact of distributed energy resources (DERs) owned and operated by commercial customers on the load serving entities (LSEs). DERs reduce the customers' electricity bills and hence the revenues collected by their LSE. However, changes in customer demand profiles can potentially reduce the aggregated system demand profile, and therefore, reduce the LSE's costs in wholesale markets. Analysis of these financial impacts indicates that the LSE's lost revenue ultimately outweighs its reduced expenses. This is largely due to a significant reduction in revenue from demand charges. Dispatchable DERs, including energy storages and demand response, result in more financial losses for LSEs than photovoltaics. The financial losses LSEs face indicate that redesigning commercial customer tariffs is necessary in order for LSEs to accommodate customer owned DERs properly. Several suggestions on modifying commercial tariffs are presented.

Suggested Citation

  • Wang, Zeyu & Negash, Ahlmahz & Kirschen, Daniel, 2015. "Assessing the financial impacts of distributed energy on load serving entities," Energy Policy, Elsevier, vol. 86(C), pages 380-392.
    • Handle: RePEc:eee:enepol:v:86:y:2015:i:c:p:380-392
    DOI: 10.1016/j.enpol.2015.06.036
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    References listed on IDEAS

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    1. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    2. Glassmire, John & Komor, Paul & Lilienthal, Peter, 2012. "Electricity demand savings from distributed solar photovoltaics," Energy Policy, Elsevier, vol. 51(C), pages 323-331.
    3. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan H., 2014. "Customer-economics of residential photovoltaic systems (Part 1): The impact of high renewable energy penetrations on electricity bill savings with net metering," Energy Policy, Elsevier, vol. 67(C), pages 290-300.
    4. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan, 2011. "The impact of rate design and net metering on the bill savings from distributed PV for residential customers in California," Energy Policy, Elsevier, vol. 39(9), pages 5243-5253, September.
    5. Hulisi Ö?üt & Asunur Cezar & Merve Guven, 2014. "Market Share Analysis of Mobile Operators in Turkey," Proceedings of International Academic Conferences 0200930, International Institute of Social and Economic Sciences.
    6. Nottrott, A. & Kleissl, J. & Washom, B., 2013. "Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems," Renewable Energy, Elsevier, vol. 55(C), pages 230-240.
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    2. Nikolaidis, Alexandros I. & Charalambous, Charalambos A., 2017. "Hidden financial implications of the net energy metering practice in an isolated power system: Critical review and policy insights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 706-717.

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