2018 IEEE Power &Amp; Energy Society General Meeting (PESGM) 2018
DOI: 10.1109/pesgm.2018.8586182
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Non-Wire Alternatives to Capacity Expansion

Abstract: Distributed energy resources (DERs) can serve as non-wire alternatives to capacity expansion by managing peak load to avoid or defer traditional expansion projects. In this paper, we study a planning problem that co-optimizes DERs investment and operation (e.g., energy efficiency, energy storage, demand response, solar photovoltaic) and the timing of capacity expansion. We formulate the problem as a large scale (in the order of millions of variables because we model operation of DERs over a period of decades) … Show more

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Cited by 8 publications
(9 citation statements)
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References 16 publications
(36 reference statements)
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“…According to Federal Energy Regulatory Commission (FERC) order No. 1000 ( Contreras-Ocaña et al., 2018 ), and US Department of Energy (DOE), by employing a comprehensive NWA approach customer can achieve the following benefits: Avoid unnecessary construction; Best prioritize the use of capital for construction; Minimize the risk of stranded investment; Enhance capacity of existing systems through detailed analysis; Avoid unnecessary transmission cost increases; and Minimize environmental impacts of transmission enhancements. …”
Section: Non-transmission Solution Using Solar Pv Energymentioning
confidence: 99%
“…According to Federal Energy Regulatory Commission (FERC) order No. 1000 ( Contreras-Ocaña et al., 2018 ), and US Department of Energy (DOE), by employing a comprehensive NWA approach customer can achieve the following benefits: Avoid unnecessary construction; Best prioritize the use of capital for construction; Minimize the risk of stranded investment; Enhance capacity of existing systems through detailed analysis; Avoid unnecessary transmission cost increases; and Minimize environmental impacts of transmission enhancements. …”
Section: Non-transmission Solution Using Solar Pv Energymentioning
confidence: 99%
“…Let BLSEF(β i ) denote a function that takes the scalar β i ∈ (0, 1) and solves problem (5) and outputs the optimal values of a c,t a c,t,i , b c,t,i , b c,t,i , J A t,i , and calculates the percentage of training measurements that are higher than the upper estimate or lower than the lower estimate π out t,i . The percentage of out of prediction band measurements is calculated as…”
Section: The Blse Algorithmmentioning
confidence: 99%
“…The parameter M is an integer greater than 1 to be selected by the modeler 5 . The outputs of the BLSE algorithm are the trained parameters ofθ L k,t andθ U k,t .…”
Section: The Blse Algorithmmentioning
confidence: 99%
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“…Therefore, enhancing the system's resilience to ensure a certain level of service under severe weather events, particularly for mission-critical facilities such as hospitals and fire stations, is indispensable. Apart from utility grid hardening and reinforcement plans, which might be either traditional capacity expansion plans to ensure system adequacy [7] or non-wires alternatives (NWA) against traditional investments [8], critical facilities can also utilize behind-the-meter (BTM) distributed energy resources (DERs) that are configured to operate even when the utility grid is jeopardized.…”
mentioning
confidence: 99%