Fast Sensitivity Analysis Approach to Assessing Congestion Induced Wind Curtailment

Gu, Yingzhong; Xie, Le

doi:10.1109/tpwrs.2013.2282286

Cited by 68 publications

(30 citation statements)

References 32 publications

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“…Those can be divided into three categories: 1) network reinforcement, 2) improved utilization of the existing network infrastructure, and 3) coordination between wind generation and electric energy storage resources [6].…”

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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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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Section: Introductionmentioning

confidence: 99%

NaS battery storage system modeling and sizing for extending wind farms performance in Crete

Rodrigues

Fernandes

Godina

et al. 2014

2014 Australasian Universities Power Engineering Conference (AUPEC)

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Crete Island has significant natural resources when it comes to wind and solar energy. Likewise other European territories, renewable sources already are being explored for power production. Currently, a large amount of wind energy on Crete is curtailed during certain daily periods as a result of reduced demand and minimum operating levels of thermal generators. Reducing curtailment losses requires additional sources of flexibility in the grid, and electric energy storage is one of them. This paper address wind generation losses minimization through the storage of wind energy surplus. Sodium Sulfur (NaS) battery modeling is used in this study and an energy time-shift storage scheme is implemented to assess the overall storage system performance. The obtained results are supported on real data of renewable resources (wind and solar), conventional power production and demand of Crete Island in 2011. Conclusions are duly drawn.Index Terms-Wind farm, Curtailed wind energy, Battery energy storage system, Energy capacity.

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“…A Monte Carlo simulation-based algorithm is utilized to evaluate the WPC in a hybrid power system. Algorithms that provide useful statistics for the system improvement were presented to detect wind curtailment events and infer reasons [18,19]. Based on two proposed models, advanced indices are proposed to measure the penetration level, the power curtailment, the potential of wind power absorption, and the utilization efficiency of wind power.…”

mentioning

confidence: 99%

“…Studies of developing other strategies for reducing wind curtailments were also reported. Algorithms that provide useful statistics for the system improvement were presented to detect wind curtailment events and infer reasons [18,19]. The incentive policy [20], cost allocation [20], energy storage [21], and demand response [22,23] have also been investigated to reduce wind curtailments.…”

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confidence: 99%

A new framework for the wind power curtailment and absorption evaluation

Sun

Bie

Zhang

2016

Int. Trans. Electr. Energ. Syst.

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Summary It is meaningful to study the wind power curtailments and absorption potentiality by considering different system states and time‐varying characteristics. In this research, a wind power restriction analysis model and a maximum wind power connection (WPC) analysis model are developed to assess the wind power curtailments subject to different constraints and explore the potential of wind power absorption. A Monte Carlo simulation‐based algorithm is utilized to evaluate the WPC in a hybrid power system. The proposed algorithms are solved by a MATLAB program with YALMIP and CPLEX. Based on two proposed models, advanced indices are proposed to measure the penetration level, the power curtailment, the potential of wind power absorption, and the utilization efficiency of wind power. The effectiveness of the proposed approach and indices is validated by a case study. The results indicate that the proposed method can discover the bottleneck of WPC and estimate the potential of absorbing additional wind power generation capacities in different buses, which is meaningful to determine ratings and locations for future wind farms. Copyright © 2016 John Wiley & Sons, Ltd.

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Fast Sensitivity Analysis Approach to Assessing Congestion Induced Wind Curtailment

Cited by 68 publications

References 32 publications

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

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

NaS battery storage system modeling and sizing for extending wind farms performance in Crete

A new framework for the wind power curtailment and absorption evaluation

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