Energy Storage for a High Penetration of Renewables

Cárdenas, Bruno; Swinfen-Styles, Lawrie; Rouse, James; Hoskin, Adam; Xu, Weiqing; Garvey, Seamus D.

doi:10.1109/oses.2019.8867359

Cited by 8 publications

(7 citation statements)

References 27 publications

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“…The general explanation is that long-duration storage is needed to deal with renewable resources' seasonal variations. As demonstrated in [63], the mix of renewables can be tuned to minimize the overall variability seen. Longduration energy storage is needed to deal with the inter-annual variability of the resources (see Fig.…”

Section: Resultsmentioning

confidence: 99%

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Energy storage capacity vs. renewable penetration: A study for the UK

et al. 2021

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Section: Resultsmentioning

confidence: 99%

“…This paper follows (and expands on) an initial study presented by the authors at the 6 TH Offshore Energy and Storage conference in France [63]. The study provided an estimate for the storage capacity that the UK would need to decarbonize its electric grid.…”

Section: The Need For Historical Data: Under-estimation Riskmentioning

confidence: 95%

Energy storage capacity vs. renewable penetration: A study for the UK

et al. 2021

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“…As an example of the regional specificity of these results, the European 100% renewables scenario modeled by Child et al 15 found that seasonal storage tends to charge in the summer via solar photovoltaics and in the fall via wind before discharging during the winter. Cá rdenas et al 74 illustrated that the seasonal attributes of state of charge for the United Kingdom depend heavily on the ratio of solar photovoltaics and wind energy, which peak at different times of the year. Thus, the supplemental experimental procedures includes a sensitivity analysis of LCOE for all technologies as a function of charge and discharge capacity factors as well as a benchmarking analysis where all LDES systems have charge and discharge capacity factors of 25% and 10%, respectively.…”

Section: Estimating Technology-specific Capacity Factorsmentioning

confidence: 99%

Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high-variable renewable energy grids

Hunter

Penev

Reznicek

et al. 2021

Joule

142

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Solar and wind energy are being rapidly integrated into electricity grids around the world. As renewables penetration increases beyond 80%, electricity grids will require long-duration energy storage or flexible, low-carbon electricity generation to meet demand and help keep electricity prices low. Here, we evaluate the costs of applicable technologies based on current technology status and future projections. We show which technologies have the lowest costs and identify opportunities for each to help decarbonize the electricity grid.

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“…It is challenging to solve the accommodation problem in power generation systems for two main reasons [10]. First, wind and solar power plants are characterized by randomness, intermittence, and fluctuation, yet extra clean energy often has to be abandoned due to the lack of storage equipment [11]. Second, hydropower plants frequently serve as peak regulation plants, due to their features of flexible startstop controlling and simple state transformation.…”

Section: Introductionmentioning

confidence: 99%

Electricity Curtailment Cost Coupled to Operation Model Facilitates Clean Energy Accommodation in Grid-Connected System

Zhao

et al. 2021

Energies

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Electricity transmission in a grid-connected system provides an effective solution to promoting clean energy accommodation. However, with arbitrary determination in current operation models, the clean energy utilization ratio (CEUR) is not satisfactory largely due to the lack of electricity curtailment (the electricity equivalent of clean energy curtailment) cost-dependent optimization. In this study, a curtailment cost-dependent multi-objective operation (CCMO) model was proposed to complementarily operate a grid-connected hybrid energy system, identify optimal CEUR, and thus maximally reduce electricity curtailment. The CCMO model centers on coupling the punishment cost of electricity curtailment with the multi-objective function defined as the total cost of each grid component. The CCMO model was solved to derive the optimal equilibrium solution determined based on multiple non-dominated solutions. A grid-connected hybrid energy system including the Yunnan, Guangdong, and Guangxi Power Grids was used to test the model performance. The results showed that the CCMO model’s CEUR was up to 100% at hourly scale and 96.9% on daily average, which were both significantly higher than those in the current operation models. Furthermore, the CCMO’s optimal equilibrium solution, i.e., respective minimum total cost of each grid component, can also identify optimal transmission schemes of the daily channel utilization to make the peak utilization hours largest.

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Energy Storage for a High Penetration of Renewables

Cited by 8 publications

References 27 publications

Energy storage capacity vs. renewable penetration: A study for the UK

Energy storage capacity vs. renewable penetration: A study for the UK

Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high-variable renewable energy grids

Electricity Curtailment Cost Coupled to Operation Model Facilitates Clean Energy Accommodation in Grid-Connected System

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