Grid Flexibility and the Cost of Integrating Variable Renewable Energy: Toward a Renewable Energy Integration Adder for San Diego Gas and Electric Service Territory and the California Electric Grid

Ginsberg, Michael; Goeta, Shahar; Fthenakis, Vasilis

doi:10.1109/pvsc.2018.8547842

Cited by 4 publications

(4 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SB 100 also requires 100% zero-carbon electricity sources for the state by 2045, of which 60% must come from renewable sources and the other 40% from renewable energy or from any other sources that have zero net emissions. The cost of integrating variable energy resourcessuch as wind and solar-increases as their percentage of the total energy mix increases (Ginsberg et al 2018). A goal of 100% clean energy will likely require procuring renewable energy resources that can be available 24 hours a day, such as geothermal, large-scale electricity storage, and, in the case of California, nuclear (Roberts 2018 Other state-level legislation includes:…”

Section: State-level Legislationmentioning

confidence: 99%

2021 U.S. Geothermal Power Production and District Heating Market Report

Robins

Kolker

Flores-Espino

et al. 2021

View full text Add to dashboard Cite

show abstract

Section: State-level Legislationmentioning

confidence: 99%

2021 U.S. Geothermal Power Production and District Heating Market Report

Robins

Kolker

Flores-Espino

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Studies have also delved into the contribution of California's renewable energy portfolio standards and their contribution to greenhouse gas emissions reduction and resource utilization (Daneshi, 2018), the active curtailment of intermittent generation resources to maximize hosting capacity in the CAISO energy markets (Kahrobaee et al, 2019). the cost of renewable integration and the implications of negative electricity pricing (Ginsberg et al, 2018). Moreover, Fan (2016) identified strong asymmetric correlations in the California electricity spot price market in 2000, which had significant implication on the market's collapse.…”

Section: Renewable Energy Integrationmentioning

confidence: 99%

“…Sreedharan et al (2016) highlighted the importance of innovative incentive mechanisms to spur DERs in bolstering renewable integration services, particularly for commercial and industrial sectors across California. Ginsberg et al (2018) introduced a framework to assess the costs associated with variable renewable energy integration, taking San Diego Gas and Electric (SDGE) as a case study, offering valuable insights for stakeholders beyond California.…”

Section: Literature Review and Contributionsmentioning

confidence: 99%

Principal component analysis of day‐ahead electricity price forecasting in CAISO and its implications for highly integrated renewable energy markets

Nyangon,

Akintunde

2023

WIREs Energy & Environment

View full text Add to dashboard Cite

Electricity price forecasting is crucial for grid management, renewable energy integration, power system planning, and price volatility management. However, poor accuracy due to complex generation mix data and heteroskedasticity poses a challenge for utilities and grid operators. This paper evaluates advanced analytics methods that utilize principal component analysis (PCA) to improve forecasting accuracy amidst heteroskedastic noise. Drawing on the experience of the California Independent System Operator (CAISO), a leading producer of renewable electricity, the study analyzes hourly electricity prices and demand data from 2016 to 2021 to assess the impact of day‐ahead forecasting on California's evolving generation mix. To enhance data quality, traditional outlier analysis using the interquartile range (IQR) method is first applied, followed by a novel supervised PCA technique called robust PCA (RPCA) for more effective outlier detection and elimination. The combined approach significantly improves data symmetry and reduces skewness. Multiple linear regression models are then constructed to forecast electricity prices using both raw and transformed features obtained through PCA. Results demonstrate that the model utilizing transformed features, after outlier removal using the traditional method and SAS Sparse Matrix method, achieves the highest forecasting performance. Notably, the SAS Sparse Matrix outlier removal method, implemented via proc RPCA, greatly contributes to improved model accuracy. This study highlights that PCA methods enhance electricity price forecasting accuracy, facilitating the integration of renewables like solar and wind, thereby aiding grid management and promoting renewable growth in day‐ahead markets.This article is categorized under: Energy and Power Systems > Energy Management Energy and Power Systems > Distributed Generation Emerging Technologies > Digitalization

show abstract

“…From the DSO perspective, such common ground in most of the cases is the cost of implementing the solution. [26,27]. The dynamic flexibility function is discussed in [28].…”

Section: Introductionmentioning

confidence: 99%

Incorporating flexibility options into distribution grid reinforcement planning: A techno-economic framework approach

et al. 2019

View full text Add to dashboard Cite

Distributed energy resources (DER) and new types of consumer equipment create many challenges for the distribution system operators (DSOs). Power congestions that can potentially be created during normal or contingency situations will lead to increased investments into grid reinforcement. An alternative solution is to use the flexibility provided by the local resources in the grid. In this paper value of flexibility (VoF) is used as an indicator that can be utilized by the DSO to compare it against costs of the different active elements (AEs) providing flexibility services (FSs). The paper proposes flexibility characterization framework that allows to generalize the process of the cost estimations of any AE by using combinations of cost functions. A case study based on an actual distribution grid is provided to demonstrate

show abstract

Grid Flexibility and the Cost of Integrating Variable Renewable Energy: Toward a Renewable Energy Integration Adder for San Diego Gas and Electric Service Territory and the California Electric Grid

Cited by 4 publications

References 1 publication

2021 U.S. Geothermal Power Production and District Heating Market Report

2021 U.S. Geothermal Power Production and District Heating Market Report

Principal component analysis of day‐ahead electricity price forecasting in CAISO and its implications for highly integrated renewable energy markets

Incorporating flexibility options into distribution grid reinforcement planning: A techno-economic framework approach

Contact Info

Product

Resources

About