Modeling wind farms for power system stability studies

Kazachkov, Y.; Feltes, J.W.; Zavadil, R.

doi:10.1109/pes.2003.1267382

Cited by 60 publications

(36 citation statements)

References 2 publications

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“…In the current implementation, all the wind turbines within the wind farm in the system are aggregated and modeled by an equivalent wind turbine at the wind farm terminal bus [23]. Such a representation is suitable for a static study where the main concern is on the This paper specifically deals with the overload problem in a high wind region.…”

Section: Discussionmentioning

confidence: 99%

Wind generation curtailment to relieve line overload in an on‐line environment

Acharya

Liu

Djukanović³

2008

Int Trans Elec Energy Syst

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SUMMARYIn areas with high wind power penetration, the protection of transmission lines from overload during critical contingencies is an important issue. The objective of this research is to formulate the technical problem and develop a methodology to solve the problem associated with overloading of transmission facilities in high wind generation areas. The proposed method is to curtail the wind turbine outputs through the Energy Management System facilities in the on-line operational environment. The proposed method, which is based on linear optimization, sends the calculated control signals via the Supervisory Control and Data Acquisition (SCADA) system to wind farm controllers. The necessary ramping of the wind farm outputs is implemented by the appropriate blade pitch angle control at the turbine level. The curtailment strategy is tested with an equivalent system model of MidAmerican Energy Company (MEC). The results show that the line overload in high wind generation areas can be alleviated by controlling the outputs of the wind farms step-by-step over an allowable period of time.

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Section: Discussionmentioning

confidence: 99%

Wind generation curtailment to relieve line overload in an on‐line environment

Acharya

Liu

Djukanović³

2008

Int Trans Elec Energy Syst

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“…According to the Betz law, the C p theoretical limit is 0.59 but the practical limit is 0.2-0.4 (see [14]). The C p has been numerically estimated and can be described as follows: (10) However, the C p depends on the t  , which might be used for wind turbine stability and control.  is the pitch angle (see [15]), the main function of the pitch system is to maintain the turbine torque at the rated wind speeds, and c  is the ratio of linear speed at the tip of blades to the V  and can be described as follows:…”

Section: Aerodynamic Modelmentioning

confidence: 99%

“…Furthermore, when squirrel cage generators are operated with sensor-less control concepts, a quick and perfect torque response is obtained [8]- [9]. As referring to [10]- [11], various simulation models of wind turbine system for stability and control methods were designed and integrated with the power system arrangement. However, the wind turbine controller requires redesign carefully for WECS because many model-dependent designs have some drawbacks.…”

Section: Introductionmentioning

confidence: 99%

Active and Reactive Power Control of a Variable Speed Wind Energy Conversion System based on Cage Generator

Baloch¹,

Wattoo²,

Kumar³

et al. 2017

ijacsa

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Abstract-This manuscript presents the modeling and control design for a variable speed wind energy conversion system (VS-WECS). This control scheme is based on three-phase squirrel cage induction generator driven by a horizontal-axis wind turbine through the overhead transmission network. In this manuscript, a static VAR compensator is proposed and connected with the squirrel cage induction generator terminals in order to regulate the system parameters, such as voltage, power. Through the pitch angle, the mechanical power was controlled through Simulink (Matlab) software. From the simulation results, the response of the proposed system offers good robustness and fast recovery under various dynamic system disturbances.

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“…The behavior of a network with wind generation can be studied supplying the farm equivalent wind as input to a conventional turbine model connected to the equivalent grid. The foundations of these models, their usual conventions and their limitations can be seen in (Akhmatov & Knudsen, 2002;Kazachkov & Stapleton, 2004;Fernandez et al, 2006 …”

Section: Average Farm Behaviormentioning

confidence: 99%