Summary of Time Period-Based and Other Approximation Methods for Determining the Capacity Value of Wind and Solar in the United States: September 2010 - February 2012

Rogers, Jeffrey C.; Porter, Kevin

doi:10.2172/1037923

Cited by 10 publications

(10 citation statements)

References 5 publications

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“…Other approximation approaches calculate the capacity factor of wind and solar over some subset of hours when the system may have the greatest risk of not meeting the load. One of the first applications of this was in PJM in the United States, which uses three years of wind production data, for hours ending 3:00–7:00 pm. The wind power plant capacity factor is calculated for this time period using a standard assumption if there are fewer than three years of operating data.…”

Section: Capacity Value Of Wind Powermentioning

confidence: 99%

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Capacity value assessments of wind power

Milligan

Frew

Ibáñez

et al. 2016

WIREs Energy & Environment

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This article describes some of the recent research into the capacity value of wind power. With the worldwide increase in wind power during the past several years, there is increasing interest and significance regarding its capacity value because this has a direct influence on the amount of other (nonwind) capacity that is needed. We build on previous reviews from IEEE and IEA Wind Task 25 a and examine recent work that evaluates the impact of multiple-year data sets and the impact of interconnected systems on resource adequacy. We also provide examples that explore the use of alternative reliability metrics for wind capacity value calculations. We show how multiple-year data sets significantly increase the robustness of results compared to single-year assessments. Assumptions regarding the transmission interconnections play a significant role. To date, results regarding which reliability metric to use for probabilistic capacity valuation show little sensitivity to the metric. FIGURE 7 | Comparison of WECC simplified rule for solar capacity value with full ELCC/LOLE calculations for a single year by subregion (image from Ref 35, formatted for consistency). WIREs Energy and EnvironmentCapacity value assessments of wind power Volume 6,

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Section: Capacity Value Of Wind Powermentioning

confidence: 99%

“…In practice, various reliability‐based and approximation methods, such as those listed here, as well as ad‐hoc rules of thumb are used for calculating wind and solar capacity values . For instance, the Western Electricity Coordinating Council uses several 'standard' values for the capacity credit of wind.…”

Section: Capacity Value Of Wind Powermentioning

confidence: 99%

Capacity value assessments of wind power

Milligan

Frew

Ibáñez

et al. 2016

WIREs Energy & Environment

View full text Add to dashboard Cite

show abstract

“…Existing deterministic capacity expansion models and resource adequacy studies use different assumptions to account for the deterioration of the capacity value of solar at higher penetration levels [8], [56]. Some ISOs use a constant pre-determined value to determine capacity payments for all new solar resources; this pre-determined value only considers generation during peak demand periods, rather than peak net demand [8], [57]. Focusing only on generation during peak demand periods leads to calculated capacity value staying constant with increased penetration.…”

Section: B Deterministic Modelmentioning

confidence: 99%

Endogenous Assessment of the Capacity Value of Solar PV in Generation Investment Planning Studies

Muñoz

Mills

2015

IEEE Trans. Sustain. Energy

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There exist several different reliability-and approximation-based methods to determine the contribution of solar resources towards resource adequacy. However, most of these approaches require knowing in advance the installed capacities of both conventional and solar generators. This is a complication since generator capacities are actually decision variables in capacity planning studies. In this article we study the effect of time resolution and solar PV penetration using a planning model that accounts for the full distribution of generator outages and solar resource variability. We also describe a modification of a standard deterministic planning model that enforces a resource adequacy target through a reserve margin constraint. Our numerical experiments show that at least 50 days worth of data are necessary to approximate the results of the full-resolution model with a maximum error of 2.5% on costs and capacity. We also show that the amount of displaced capacity of conventional generation decreases rapidly as the penetration of solar PV increases. We find that using an exogenously defined and constant capacity value based on time-series data can yield relatively accurate results for small penetration levels. For higher penetration levels, the modified deterministic planning model better captures avoided costs and the decreasing value of solar PV.

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“…Different approaches have been developed to assess the capacity value of PV and wind sources. References [1][2][3] provide overviews for these different approaches. In this chapter, the PPCF method, based on the capacity factor of PV generation during a certain percentile of peak load period, is applied to the NV Energy system.…”

Section: Methodology Descriptionmentioning

confidence: 99%

Capacity Value of PV and Wind Generation in the NV Energy System

Lu¹,

Diao²,

Samaan³

et al. 2012

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Printed in the United States of America AbstractCalculation of photovoltaic (PV) and wind power capacity values is important for estimating additional load that can be served by new PV or wind installations in the electrical power system. It also is the basis for assigning capacity credit payments in systems with markets. Because of variability in solar and wind resources, PV and wind generation contribute to power system resource adequacy differently from conventional generation. Many different approaches to calculating PV and wind generation capacity values have been used by utilities and transmission operators. Using the NV Energy system as a study case, this report applies peak-period capacity factor (PPCF) and effective load carrying capability (ELCC) methods to calculate capacity values for renewable energy sources. We show the connection between the PPCF and ELCC methods in the process of deriving a simplified approach that approximates the ELCC method. This simplified approach does not require generation fleet data and provides the theoretical basis for a quick check on capacity value results of PV and wind generation. The diminishing return of capacity benefit as renewable generation increases is conveniently explained using the simplified capacity value approach.iv Acknowledgement

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Summary of Time Period-Based and Other Approximation Methods for Determining the Capacity Value of Wind and Solar in the United States: September 2010 - February 2012

Cited by 10 publications

References 5 publications

Capacity value assessments of wind power

Capacity value assessments of wind power

Endogenous Assessment of the Capacity Value of Solar PV in Generation Investment Planning Studies

Capacity Value of PV and Wind Generation in the NV Energy System

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