Dynamic modeling of wind power generation

Pulgar-Painemal, Héctor; Sauer, Peter W.

doi:10.1109/naps.2009.5484009

Cited by 23 publications

(10 citation statements)

References 19 publications

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“…To formulate the main problem, we consider a set-up where we have a WF comprised with n wind generators. We denote these generators by the set G {1, ..., n} and index each WG by i where i ∈ G. The available mechanical power that can be extracted from the wind by each WG is given by [9]:…”

Section: B Fair Dynamic Dispatching Of Wgs While the Wf Power Outputmentioning

confidence: 99%

Distributed torque control of deloaded wind DFIGs: Power reference tracking via fair dynamic dispatching

Baros

2016

2016 American Control Conference (ACC)

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In this paper we aim to address the problem of dynamically dispatching a group of state-of-the-art deloaded wind generators (WGs) in a fair-sharing manner. We use the term dynamically since the WGs aim to dispatch themselves according to a varying committed WF power output. We first propose a leader-follower protocol whose execution guarantees asymptotically, two control objectives. These are 1) reaching asymptotic consensus on the utilization level of all WGs and 2) the total power output of the WGs asymptotically converges to the reference value. Thereafter, we combine singular perturbation and Lyapunov theory to prove that, under certain conditions, the proposed protocol will asymptotically converge to its equilibrium. Finally, we derive a cooperative Control Lyapunov Function-based (CLF) controller for the rotor side converter (RSC) of each WG that realizes the protocol in practice. We demonstrate the effectiveness of our proposed protocol and the corresponding RSC controller design via simulations on the modified IEEE 24-bus RT system.

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Section: B Fair Dynamic Dispatching Of Wgs While the Wf Power Outputmentioning

confidence: 99%

Distributed torque control of deloaded wind DFIGs: Power reference tracking via fair dynamic dispatching

Baros

2016

2016 American Control Conference (ACC)

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“…Eigenvalues associated with ω r , ω and P m do not move when load and wind speed are varied. DFIG's state variables do not participate in the unstable modes (see reference [10] for more This does not differ considerably from the modal behavior of a system with a conventional synchronous generator [6], [10], [19]. For all wind speeds and simulated loadings, eigenvalues associated with the DFIG's state-variables are generally stable.…”

Section: A Base Casementioning

confidence: 99%

“…In the next sections, the turbine model, the DFIG model and its connection to the grid, and the pitch angle and power controllers are presented. See reference [10] for more details.…”

Section: Dynamic Modelmentioning

confidence: 99%

Power system modal analysis considering doubly-fed induction generators

Pulgar-Painemal

Sauer

2010

2010 IREP Symposium Bulk Power System Dynamics and Control - VIII (IREP)

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This paper presents a modal analysis of a two machine power system that includes a doubly-fed induction generator (DFIG). The DFIG's model considers rotor flux linkages as dynamic states and stator flux linkages as algebraic variables. Active-and reactive-power controllers are also modeled. Active power is tracked for optimal power extraction from the wind. Using the power system set of differential-algebraic equations, eigenvalue trajectories are obtained when the load is varied. The system dynamics show little interaction between the DFIG and the synchronous machine (base case). Thus, system behavior is compared when the DFIG is replaced by (i) a hypothetical synchronous generator and (ii) a negative load (NL). Results show that an NL model resembles very well a DFIG dynamic model in the power system. A high sensitivity with respect to the parameters of the fast loop of the power controllers is observed. Lowering the parameters of the reactive power controller can actually make the system more stable. With respect to the loading at the Hopf point, its estimation is obtained with a low error by the NL model. These results have been verified using a 39-bus, 10-machine system. Using an NL model for representing wind power generators in power systems analysis can provide reasonable results while reducing simulation time and model complexity.

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“…2 constitute the 8 algebraic equations of the model. More details of the WTG dynamic model can be found in [9,10]. Modal analysis has been performed using this WTG model in a power system [11].…”

Section: Wtg Dynamicsmentioning

confidence: 99%

“…Modal analysis has been performed using this WTG model in a power system [11]. Basically, the steps of this analysis can be summarized as follows: (a) calculate an equilibrium point Using the system differential-algebraic equations (DAEs); (b) linearize the set of equations around the equilibrium point; (c) eliminate the algebraic variables; (d) obtain the system Jacobian (A sys ) [9,12]; and (e) calculate the Jacobian eigenvalues. When eigenvalues are tracked as a parameter is varied, then the analysis is called bifurcation analysis [13,14].…”

Section: Wtg Dynamicsmentioning

confidence: 99%