An Equivalent Aggregation Model of Wind Farm Considering Wind Curtailment

Establishing an appropriate aggregation model of wind farm is the first step of the electrical computation in wind power integration planning. This paper first summarizes the technical requirements of wind farm model from the viewpoint of engineering, then proposes an aggregation DFIG model of wind farm. Because of the lack of measured data in the planning stage, the single equivalent model is used in this paper, and be improved by considering the equivalent collection lines model. The accuracy of the aggregation model in different electrical calculation, such as power flow, transient stability and shortcut current simulation, is verified through a sample system in DIgSILENT.

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Data-Driven Correction Approach to Refine Power Curve of Wind Farm Under Wind Curtailment

IEEE Transactions on Sustainable Energy ◽

10.1109/tste.2017.2717021 ◽

2018 ◽

Vol 9 (1) ◽

pp. 95-105 ◽

Cited By ~ 27

Author(s):

Yongning Zhao ◽

Lin Ye ◽

Weisheng Wang ◽

Huadong Sun ◽

Yuntao Ju ◽

...

Keyword(s):

Wind Farm ◽

Data Driven ◽

Power Curve ◽

Wind Curtailment

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Research on Aggregation Model of Wind Farm Based on SSO Complex Torque Coefficient Analysis

Journal of Physics Conference Series ◽

10.1088/1742-6596/1754/1/012020 ◽

2021 ◽

Vol 1754 (1) ◽

pp. 012020

Author(s):

SU Xunwen ◽

CUI Hanqing ◽

PEI Yuming ◽

ZHANG Dongni ◽

AN Pengyu

Keyword(s):

Wind Farm ◽

Aggregation Model ◽

Torque Coefficient

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The control strategy of energy storage externality for reducing wind curtailment from wind farm cluster

Energy Procedia ◽

10.1016/j.egypro.2018.09.086 ◽

2018 ◽

Vol 152 ◽

pp. 233-239 ◽

Cited By ~ 2

Author(s):

Gang Mu ◽

Gan Guo ◽

Junhui Li ◽

Gangui Yan

Keyword(s):

Energy Storage ◽

Control Strategy ◽

Wind Farm ◽

Wind Curtailment

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Multi-Criteria Decision Making Approach for Hybrid Operation of Wind Farms

Symmetry ◽

10.3390/sym11050675 ◽

2019 ◽

Vol 11 (5) ◽

pp. 675 ◽

Cited By ~ 8

Author(s):

Harsh S. Dhiman ◽

Dipankar Deb ◽

Vlad Muresan ◽

Mihaela-Ligia Unguresan

Keyword(s):

Decision Making ◽

Wind Farm ◽

Wind Farms ◽

Multi Criteria Decision Making ◽

Ideal Solution ◽

Stochastic Nature ◽

Rank Reversal ◽

Hybrid Operation ◽

Wind Curtailment ◽

Simple Additive Weighting

Hybrid operation of wind farms has been in the limelight in recent years wherein the stochastic nature of wind causes market operators to choose an optimal strategy to maximize profit. The current work deals with a multi-criteria decision making approach to choose the best possible alternatives for a hybrid wind farm operation. A set of three, non-beneficial criteria, namely wind wakes, wind curtailment, and forced outages, were chosen to evaluate the best alternative. Three methods, (i) Simple Additive Weighting (SAW), (ii) the Technique for Order or Preference by Similarity to Ideal Solution (TOPSIS) and (iii) Complex Proportional Assessment (COPRAS), were applied to identify the best alternative, and the results revealed that for all three methods, borrowing deficit power from a neighboring wind farm is the best alternative. Comparative analyses in terms of the data requirement, the effect of dynamic decision matrices, and rank reversal in wind farm application have also been pioneered.

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Evaluating Community Engagement and Benefit-Sharing Practices in Australian Wind Farm Development

Case Studies in the Environment ◽

10.1525/cse.2017.000521 ◽

2017 ◽

Vol 1 (1) ◽

pp. 1-6 ◽

Cited By ~ 2

Author(s):

Nina Lansbury Hall ◽

Jarra Hicks ◽

Taryn Lane ◽

Emily Wood

Keyword(s):

Community Engagement ◽

Community Involvement ◽

Wind Farm ◽

Social Acceptance ◽

Wind Farms ◽

Clean Energy ◽

Benefit Sharing ◽

Delphi Panel ◽

Government Organizations

The wind industry is positioned to contribute significantly to a clean energy future, yet the level of community opposition has at times led to unviable projects. Social acceptance is crucial and can be improved in part through better practice community engagement and benefit-sharing. This case study provides a “snapshot” of current community engagement and benefit-sharing practices for Australian wind farms, with a particular emphasis on practices found to be enhancing positive social outcomes in communities. Five methods were used to gather views on effective engagement and benefit-sharing: a literature review, interviews and a survey of the wind industry, a Delphi panel, and a review of community engagement plans. The overarching finding was that each community engagement and benefit-sharing initiative should be tailored to a community’s context, needs and expectations as informed by community involvement. This requires moving away from a “one size fits all” approach. This case study is relevant to wind developers, energy regulators, local communities and renewable energy-focused non-government organizations. It is applicable beyond Australia to all contexts where wind farm development has encountered conflicted societal acceptance responses.

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