Voltage Control Ancillary Service From Wind Power Plant

Karbouj, Hazem; Rather, Zakir Hussain

doi:10.1109/tste.2018.2846696

Cited by 34 publications

(31 citation statements)

References 14 publications

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“…Reactive power reserve management of WPPs considering the maximum capability of WTs have been proposed by Martínez et al [13]. Voltage control at the point of common coupling (PCC) considering reactive power capability of WPPs have been investigated by Kim et al [14] and Karbouj et al [15]. Reactive power capability of WPPs have also been applied for voltage stability studies.…”

Section: Introductionmentioning

confidence: 99%

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Reactive Power Capability Model of Wind Power Plant Using Aggregated Wind Power Collection System

et al. 2019

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This article presents the development of a reactive power capability model for a wind power plant (WPP) based on an aggregated wind power collection system. The voltage and active power dependent reactive power capability are thus calculated by using aggregated WPP collection system parameters and considering losses in the WPP collection system. The strength of this proposed reactive power capability model is that it not only requires less parameters and substantially less computational time compared to typical detailed models of WPPs, but it also provides an accurate estimation of the available reactive power. The proposed model is based on a set of analytical equations which represent converter voltage and current limitations. Aggregated impedance and susceptance of the WPP collection system are also included in the analytical equations, thereby incorporating losses in the collection system in the WPP reactive power capability calculation. The proposed WPP reactive power capability model is compared to available methodologies from literature and for different WPP topologies, namely, Horns Rev 2 WPP and Burbo Bank WPP. Performance of the proposed model is assessed and discussed by means of simulations of various case studies demonstrating that the error between the calculated reactive power using the proposed model and the detailed model is below 4% as compared to an 11% error in the available method from literature. The efficacy of the proposed method is further exemplified through an application of the proposed method in power system integration studies. The article provides new insights and better understanding of the WPPs’ limits to deliver reactive power support that can be used for power system stability assessment, particularly long-term voltage stability.

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Section: Introductionmentioning

confidence: 99%

“…For example, Ullah et al have developed a generalized reactive power cost model for WPPs based on Type 4 WTs [20]. Voltage support as an ancillary service from WPPs using capability curves (for both dynamic and steady-state) have been studied by Karbouj and Rather [15].…”

Section: Introductionmentioning

confidence: 99%

Reactive Power Capability Model of Wind Power Plant Using Aggregated Wind Power Collection System

et al. 2019

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“…Connection to the distribution grid is one of the most important aspects of the future of renewable energy sources. Undoubtedly, this represents a source of opportunities and technological problems to be addressed and solved, but very often, we do not dwell on the fact that these sources can also be used as a tool to provide innovative network services [1][2][3][4]. In the so-called micro-grids, that can work either in island mode or connected to the main electric network, there are several issues that needs to be addressed.…”

Section: Introductionmentioning

confidence: 99%

Ancillary Service with Grid Connected PV: A Real-Time Hardware-in-the-Loop Approach for Evaluation of Performances

Huo

Gruosso

2019

Electronics

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The integration of photovoltaic (PV) systems with the grid is undoubtedly an issue of great interest both in terms of energy production, but also as a support to the grid as an ancillary service, but to evaluate the performance of the use of PV in an unconventional way, it is necessary to have reference models to be applied to evaluate the characteristics and integration requirements. In this work, an ancillary service provided by a grid-connected PV is shown and a hardware in the loop simulation environment is created to simulate performances and integration issues.

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“…Compared with the DFIGs, the modeling and control to the shunt capacitors and the SVCs are easier, since they do not have the wind turbine (WT) and the generator. The PMSG is also easier than the DFIG due to the var decoupling by the B2B converters . There are already papers about var control and optimization to them, although using the simplified description of the WT without the generator and B2B converters .…”

Section: Introductionmentioning

confidence: 99%

“…The PMSG is also easier than the DFIG due to the var decoupling by the B2B converters. [9][10][11][12] There are already papers about var control and optimization to them, although using the simplified description of the WT without the generator and B2B converters. [13][14][15] For the DFIG-basedfarm, there are papers dispatching its total reactive power from system level.…”

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confidence: 99%

Reactive power dispatch of DFIGs in wind farm based on multi‐object optimization

Zhang

et al. 2019

Int Trans Electr Energ Syst

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Summary The reactive power (var) dispatch is realized at the system and station levels. Var dispatch to the doubly fed induction generators (DFIGs) in the wind farm is seldom studied due to the difficulty of the number and modeling accuracy of the DFIGs and dependency of the var setting on its available reactive power capability (RPC). This paper proposes an optimization model to decide the incremental var output of the DFIGs in the wind farm. The object is to minimize the increments of active power loss in the wind farm and the deviation of the stator voltage of the DFIGs. Considering the voltage fluctuation at the PCC, the distribution coefficient of the var increment is defined for the DFIGs. The nonlinear constraints are expressed by the first + second‐order sensitivities of the active power loss of the wind farm and the stator voltages of the DFIGs to the var output of the DFIGs. The nondominated sorting genetic algorithm II (NSGA‐II) is applied to obtain the Pareto front, with the evaluation indicators of the var margin defined to decide the incremental var output of the DFIGs. The numerical results validate the feasibility of the proposed algorithm. The reactive power demand to the wind farm is distributed among the DFIGs satisfying the objects and the constraints with desirable accuracy and calculation efficiency.

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Voltage Control Ancillary Service From Wind Power Plant

Cited by 34 publications

References 14 publications

Reactive Power Capability Model of Wind Power Plant Using Aggregated Wind Power Collection System

Reactive Power Capability Model of Wind Power Plant Using Aggregated Wind Power Collection System

Ancillary Service with Grid Connected PV: A Real-Time Hardware-in-the-Loop Approach for Evaluation of Performances

Reactive power dispatch of DFIGs in wind farm based on multi‐object optimization

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