Solar Power Capacity Value Evaluation-A Review

Awara, Sarah; Zareipour, Hamidreza; Knight, A.M.

doi:10.1109/ccece.2018.8447841

Cited by 6 publications

(4 citation statements)

References 27 publications

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“…Mills and Wiser [81] provide a list of the capacity-value approaches that are used in different utilities for planning purposes. Madaeni et al [82] use the western United States as a case study, Zhou et al [83] emphasise the impacts of mis-estimating capacity value, and Awara et al [84] survey the impact on calculation results of making different modelling decisions.…”

Section: A Recent Methodology-related Researchmentioning

confidence: 99%

Capacity Value of Solar Power and Other Variable Generation

Awara¹,

Lynch²,

Pfenninger³

et al. 2020

Preprint

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This paper reviews methods that are used for adequacy risk assessment considering solar power and for assessment of the capacity value of solar power. The properties of solar power are described as seen from the perspective of the powersystem operator, comparing differences in energy availability and capacity factors with those of wind power. Methodologies for risk calculations considering variable generation are surveyed, including the probability background, statistical-estimation approaches, and capacity-value metrics. Issues in incorporating variable generation in capacity markets are described, followed by a review of applied studies considering solar power. Finally, recommendations for further research are presented.

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Section: A Recent Methodology-related Researchmentioning

confidence: 99%

Capacity Value of Solar Power and Other Variable Generation

Awara¹,

Lynch²,

Pfenninger³

et al. 2020

Preprint

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show abstract

“…Reference [6] provides a review of solar capacity evaluation whereas [7] is an updated survey of methods and implementation of capacity value of wind. Authors of [8] presents practical experience in evaluating the adequacy of generating capacity by different regions in the Western interconnection.…”

Section: Introductionmentioning

confidence: 99%

Capacity Credit of Solar PV Projects – Oman’s Main Interconnected System Case Study

Albadi¹,

Malik²,

Rashdi³

et al. 2024

RE&PQJ

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Due to high growth in electricity demand, it is important to add more dispatchable generation capacity in power systems to maintain demand-supply balance in real time. In many power systems, fossil fuel-based units such as gas or coal power plants are used to maintain high-reliability standards during peak demand hours. Although intermittent renewable energy generation facilities such as solar PV systems are used as a fuel saver, they can offset part of the load during peak hours. Capacity credit measures the contribution of a power plant to reliably meet demand. Estimating capacity credit of solar PV systems is important to ensure the adequacy and security of electricity supply. In this article, the capacity credit of solar PV power plants in the Main Interconnected System (MIS) of Oman is modelled. Oman's MIS considered in this study has 6,372 MW gas-based generation capacity, a negligible solar PV capacity, and 5,712 MW peak load. The results revealed that the capacity credit of solar PV plants is high at low solar PV penetration levels. However, it decreases drastically as solar PV capacity increases. For example, the first 500MW plant has a capacity credit of about 120 MW. When the cumulative installed solar PV capacity is 2000MW, the next 500MW plant has a capacity credit of only 26 MW.

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“…Researchers have been studying the CC of renewable energy for decades, using many methods 8–9,7,6,10–11 . The IEEE Task Force on the CV of Wind Power summarizes the methods currently in use, suggests a recommended method, and lists some of the gaps in the literature 7 .…”

Section: Introductionmentioning

confidence: 99%

A systematic evaluation of wind's capacity credit in the Western United States

et al. 2021

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The degree to which wind energy can contribute to the capacity needed to meet resource adequacy requirements, also known as capacity credit (CC), can be impacted by many factors. The CC varies regionally with wind resource and correlation to net load and may also vary with wind technology (land‐based versus offshore) and turbine specifications. We use a probabilistic resource adequacy tool to systematically assess the CC of multiple technologies for near‐term wind deployment across the Western US power system to help inform planning decisions. We find that wind CC varies by weather year and location but averages 16% for land‐based turbines and 41% for offshore turbines, with large regional variations. The average wind CC increases to 20% for land‐based and 53% for offshore when considering only the sites in the top 25th percentile of capacity factor. The CC of land‐based wind is generally lower than its capacity factor, which indicates a low correlation of generation to system needs. However, offshore wind shows a substantially higher CC, which is driven by not only a higher capacity factor but also a greater correlation with system needs.

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Solar Power Capacity Value Evaluation-A Review

Cited by 6 publications

References 27 publications

Capacity Value of Solar Power and Other Variable Generation

Capacity Value of Solar Power and Other Variable Generation

Capacity Credit of Solar PV Projects – Oman’s Main Interconnected System Case Study

A systematic evaluation of wind's capacity credit in the Western United States

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