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Integrated Local Transmission and Distribution Planning Using Customer Outage Costs

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  • Greg Ball, Debra Lloyd-Zannetti, Brian Horii, Dan Birch, Robert E. Ricks, and Holly Lively

Abstract

Changing regulatory incentives in the electric power industry are forcing utility transmission and distribution (T&D) planners to change their approach to investment planning. To minimize the risk of over-investment, utilities need to perform an analysis of system capacity limitations which goes beyond traditional peak load and temperature planning, and routinely consider a variety of alternate incremental capacity expansion measures. Existing engineering tools are inadequate for determining the potential cost advantage of deferring an expansion, or for evaluating the net benefits of distributed resources (DR). Conversely, integrated resource planning (IRP) tools often underestimate or ignore important DR siting restrictions and operational impacts. This paper describes a process to identify T&D capacity constraints, evaluate conventional and alternative capacity additions and DR applications, and explore the risk of operating beyond limits imposed by current reliability practices. The process uses hourly load-flow information to quantify the total annual energy and customer outage costs. The same information is used to build plans incorporating and dispatching DR where they have the greatest impact on minimizing expansion needs. A detailed case study demonstrates the process by quantifying the economic benefits of deferring an expansion with a do-nothing plan. The study reveals both unforeseen advantages and impracticalities of DR use.

Suggested Citation

  • Greg Ball, Debra Lloyd-Zannetti, Brian Horii, Dan Birch, Robert E. Ricks, and Holly Lively, 1997. "Integrated Local Transmission and Distribution Planning Using Customer Outage Costs," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 137-160.
  • Handle: RePEc:aen:journl:1997si-a07
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    Cited by:

    1. John Foster & Liam Wagner & Phil Wild & William Paul Bell & Junhua Zhao & Craig Froome, 2011. "Market and Economic Modelling of the Intelligent Grid: Interim Report 2011," Energy Economics and Management Group Working Papers 11, School of Economics, University of Queensland, Australia.
    2. Baskette, C. & Horii, B. & Kollman, E. & Price, S., 2006. "Avoided cost estimation and post-reform funding allocation for California's energy efficiency programs," Energy, Elsevier, vol. 31(6), pages 1084-1099.
    3. Junhua Zhao & John Foster, 2010. "Flexible Transmission Network Planning Considering the Impacts of Distributed Generation," Energy Economics and Management Group Working Papers 01, School of Economics, University of Queensland, Australia.
    4. John Foster & Liam Wagner & Phil Wild & Junhua Zhao & Lucas Skoofa & Craig Froome & Ariel Liebman, 2011. "Market and Economic Modelling of the Intelligent Grid: End of Year Report 2010," Energy Economics and Management Group Working Papers 10, School of Economics, University of Queensland, Australia.

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    JEL classification:

    • F0 - International Economics - - General

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