Value of NAS Energy Storage Toward Integrating Wind: Results From the Wind to Battery Project

Tewari, Saurabh; Mohan, Ned

doi:10.1109/tpwrs.2012.2205278

Cited by 82 publications

(42 citation statements)

References 27 publications

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“…The economic viability and potential of energy storages' arbitraging in power markets is researched in [5]. Storages' self-scheduling in energy and ancillary service markets is researched in [6]- [10], some of which also consider joint operation with wind farms.…”

mentioning

confidence: 99%

Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life

Chen

et al. 2016

IEEE Trans. Smart Grid

405

223

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mentioning

confidence: 99%

Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life

Chen

et al. 2016

IEEE Trans. Smart Grid

405

223

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“…The application of energy storage technologies is a viable solution for the modern power system operations based on the recent development and advances in the ESS. It could help the wind power participate in the electricity market and provide operation services and reserves [17] with less wind power curtailments. Gong et al [18] used the energy storage system to control wind power ramps by establishing an optimization model considering both the output power of ESS and the wind power curtailments.…”

Section: Overview Of the Energy Storage Systemmentioning

confidence: 99%

A Chance-Constrained Economic Dispatch Model in Wind-Thermal-Energy Storage System

Yang

et al. 2017

Energies

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Abstract:As a type of renewable energy, wind energy is integrated into the power system with more and more penetration levels. It is challenging for the power system operators (PSOs) to cope with the uncertainty and variation of the wind power and its forecasts. A chance-constrained economic dispatch (ED) model for the wind-thermal-energy storage system (WTESS) is developed in this paper. An optimization model with the wind power and the energy storage system (ESS) is first established with the consideration of both the economic benefits of the system and less wind curtailments. The original wind power generation is processed by the ESS to obtain the final wind power output generation (FWPG). A Gaussian mixture model (GMM) distribution is adopted to characterize the probabilistic and cumulative distribution functions with an analytical expression. Then, a chance-constrained ED model integrated by the wind-energy storage system (W-ESS) is developed by considering both the overestimation costs and the underestimation costs of the system and solved by the sequential linear programming method. Numerical simulation results using the wind power data in four wind farms are performed on the developed ED model with the IEEE 30-bus system. It is verified that the developed ED model is effective to integrate the uncertain and variable wind power. The GMM distribution could accurately fit the actual distribution of the final wind power output, and the ESS could help effectively decrease the operation costs.

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“…SFFði; NÞ is the sinking fund factor for the interest rate i and time period N, being calculated according to (17):…”

Section: Technical Economic Analysis A) Formulationmentioning

confidence: 99%

“…In Ref. [17] field results are presented and, like in Ref. [13], the ability of the NaS battery to limit the ramp-rate of the wind farm output is evaluated and the capability and the value of the NaS battery in shifting wind-generated energy from off-peak hours to on-peak hours are assessed.…”

Section: Introductionmentioning

confidence: 99%

Modelling and sizing of NaS (sodium sulfur) battery energy storage system for extending wind power performance in Crete Island

Rodrigues

Osório

Godina

et al. 2015

Energy

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Value of NAS Energy Storage Toward Integrating Wind: Results From the Wind to Battery Project

Cited by 82 publications

References 27 publications

Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life

Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life

A Chance-Constrained Economic Dispatch Model in Wind-Thermal-Energy Storage System

Modelling and sizing of NaS (sodium sulfur) battery energy storage system for extending wind power performance in Crete Island

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