Stochastic Modeling of Renewable Energy Sources for Capacity Credit Evaluation

Junlakarn, Siripha; Diewvilai, Radhanon; Audomvongseree, Kulyos

doi:10.3390/en15145103

Cited by 8 publications

(8 citation statements)

References 69 publications

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“…The ECP of a power unit is the capacity of a conventional power unit with a defined forced outage rate (FOR) that, if replaced by a new power unit, will not change the LOLE value. [26] To calculate the LOLE value with the addition of a PV unit to the system, Equation ( 4) is calculated:…”

Section: Equivalent Conventional Power (Ecp) Methodsmentioning

confidence: 99%

“…The ECP of a power unit is the capacity of a conventional power unit with a defined forced outage rate (FOR) that, if replaced by a new power unit, will not change the LOLE value. [ 26 ] To calculate the LOLE value with the addition of a PV unit to the system, Equation (4) is calculated:

\left(\epsilon\right)^{\text{PV}} = \underset{t \in T}{\sum} \text{Prob} \left{\right. G_{\text{t}} &amp;#x00026;amp;amp;amp;amp;plus; V_{\text{t}} &amp;#x00026;amp;amp;amp;lt; L_{\text{t}} \left.\right}

…”

Section: Various Methods Of Power Plant Capacity Valuementioning

confidence: 99%

“…The capacity value of the PV power unit based on the ECP measure is equal to the nominal capacity of the benchmark unit. [ 26 ]…”

Section: Various Methods Of Power Plant Capacity Valuementioning

confidence: 99%

See 2 more Smart Citations

Enhancing Photovoltaic Farm Capacity Estimation: A Comprehensive Analysis with a Novel Approach

Hosseini Dolatabadi,

Soleimani,

Maghanaki

et al. 2024

Energy Tech

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This research paper addresses the inaccuracies in the current methods for estimating the capacity value of photovoltaic (PV) plants, which rely heavily on large‐scale data and fail to represent the actual capacity value pattern accurately. The research conducts case studies in Belgium, Texas, and California to analyze the impact of different factors on capacity value. It proposes a new metric called the Marginal Moving‐Average Limited‐Hours (MMALH) Equivalent Load‐Carring Capability (ELCC) ‐ Based capacity value. The proposed metric reduces the dependence on hourly data and better represents capacity value. The results from real case studies validate the effectiveness of the new metric, highlighting its novelty and contribution to the assessment of capacity value in PV power systems. The study emphasizes the importance of accurately assessing the capacity value of PV compared to conventional units, considering environmental factors and system parameters. The study exposes the shortcomings in current metrics and advocates for the MMALH ELCC methodology as a more precise evaluation approach. The research suggests optimizing design, employing advanced tracking systems, enhancing maintenance practices, and ensuring effective grid integration to boost solar plant efficiency. Consistent monitoring and analysis of the utilization factor are vital for pinpointing improvement areas and augmenting productivity.

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Section: Equivalent Conventional Power (Ecp) Methodsmentioning

confidence: 99%

“…The ECP of a power unit is the capacity of a conventional power unit with a defined forced outage rate (FOR) that, if replaced by a new power unit, will not change the LOLE value. [ 26 ] To calculate the LOLE value with the addition of a PV unit to the system, Equation (4) is calculated:

\left(\epsilon\right)^{\text{PV}} = \underset{t \in T}{\sum} \text{Prob} \left{\right. G_{\text{t}} &amp;#x00026;amp;amp;amp;amp;plus; V_{\text{t}} &amp;#x00026;amp;amp;amp;lt; L_{\text{t}} \left.\right}

…”

Section: Various Methods Of Power Plant Capacity Valuementioning

confidence: 99%

See 1 more Smart Citation

Enhancing Photovoltaic Farm Capacity Estimation: A Comprehensive Analysis with a Novel Approach

Hosseini Dolatabadi,

Soleimani,

Maghanaki

et al. 2024

Energy Tech

View full text Add to dashboard Cite

show abstract

“…The necessity of robust modeling to manage the variability of wind and solar power is underscored in [84] and involves capacity credit assessments of RESs and stochastic methods for precise planning. Addressing the variability of wind and solar energy requires advanced stochastic and probabilistic modeling to maintain grid stability and efficiency.…”

Section: Renewable Energy Integrationmentioning

confidence: 99%

Digitalization Processes in Distribution Grids: A Comprehensive Review of Strategies and Challenges

Aghahadi,

Bosisio,

Merlo

et al. 2024

Applied Sciences

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This systematic review meticulously explores the transformative impact of digital technologies on the grid planning, grid operations, and energy market dynamics of power distribution grids. Utilizing a robust methodological framework, over 54,000 scholarly articles were analyzed to investigate the integration and effects of artificial intelligence, machine learning, optimization, the Internet of Things, and advanced metering infrastructure within these key subsections. The literature was categorized to show how these technologies contribute specifically to grid planning, operation, and market mechanisms. It was found that digitalization significantly enhances grid planning through improved forecasting accuracy and robust infrastructure design. In operations, these technologies enable real-time management and advanced fault detection, thereby enhancing reliability and operational efficiency. Moreover, in the market domain, they support more efficient energy trading and help in achieving regulatory compliance, thus fostering transparent and competitive markets. However, challenges such as data complexity and system integration are identified as critical hurdles that must be overcome to fully harness the potential of smart grid technologies. This review not only highlights the comprehensive benefits but also maps out the interdependencies among the planning, operation, and market strategies, underlining the critical role of digital technologies in advancing sustainable and resilient energy systems.

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“…Nevertheless, a significant challenge associated with these technologies is their inherent unpredictability, which is influenced by variables such as solar irradiance and wind speed. Consequently, it becomes imperative to seamlessly integrate them with reliable energy storage systems in order to optimize their effectiveness within the electrical infrastructure [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids While Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation

Garrido-Arévalo,

Gil-González,

Montoya

et al. 2024

IEEE Access

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This research proposes an effective energy management dispatch (EMD) using a convex approximation for battery-based energy storage systems (ESS) and renewable sources in medium-voltage distribution networks. By means of the branch flow formulation, the exact nonlinear programming model representing the EMD is transformed into a convex model through a second-order cone programming relaxation. Two contributions are presented in this work. The first involves analyzing battery-based EES and renewable sources, specifically focusing on their operation with a variable power factor. This analysis considers the reactive power control capabilities of the power electronic converters that connect distributed energy resources to the grid. The second contribution involves evaluating a robust operation scenario by incorporating uncertainties in the availability of renewable generation and the expected daily demand profile. Numerical validations are conducted on two radial distribution networks composed of 27 and 33 nodes. These networks were chosen to represent the characteristics of rural and urban networks in the Colombian distribution system. The results are then compared against those obtained with a classical unitary power factor. The main goal of the proposed EMD is to minimize the expected annual grid energy losses and operating costs through a single-objective analysis. A comparison with metaheuristic optimization algorithms, such as the parallel version of the particle swarm optimizer, the vortex search algorithm, and a genetic algorithm, demonstrates the effectiveness of our convex EMD model for both objective functions under study. All numerical simulations, including the robust model, were run using MATLAB's Yalmip tool.INDEX TERMS Energy management dispatch; second-order conic approximation; robust active and reactive power dispatch; variable power factor operation; battery-based energy storage systems; Solar photovoltaic sources; urban and rural distribution grids.

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Stochastic Modeling of Renewable Energy Sources for Capacity Credit Evaluation

Cited by 8 publications

References 69 publications

Enhancing Photovoltaic Farm Capacity Estimation: A Comprehensive Analysis with a Novel Approach

Enhancing Photovoltaic Farm Capacity Estimation: A Comprehensive Analysis with a Novel Approach

Digitalization Processes in Distribution Grids: A Comprehensive Review of Strategies and Challenges

Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids While Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation

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