A Reactive Power Dispatch Strategy With Loss Minimization for a DFIG-Based Wind Farm

Zhang, Baohua; Hou, Peng; Hu, Weihao; Soltani, Mohsen; Chen, Cong; Chen, Zhe

doi:10.1109/tste.2015.2509647

Cited by 95 publications

(75 citation statements)

References 26 publications

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“…where I gd and I gq are the d-axis and q-axis currents of the RSC and the GSC, respectively, and can be calculated using the equations described in [25]. Thus, the total loss of a WT, P loss WT , is:…”

Section: Loss Model Of Converters and The Filtermentioning

confidence: 99%

Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm

Zhang

Hou

et al. 2017

Energies

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This paper reviews and compares the performance of reactive power dispatch strategies for the loss minimization of Doubly Fed Induction Generator (DFIG)-based Wind Farms (WFs). Twelve possible combinations of three WF level reactive power dispatch strategies and four Wind Turbine (WT) level reactive power control strategies are investigated. All of the combined strategies are formulated based on the comprehensive loss models of WFs, including the loss models of DFIGs, converters, filters, transformers, and cables of the collection system. Optimization problems are solved by a Modified Particle Swarm Optimization (MPSO) algorithm. The effectiveness of these strategies is evaluated by simulations on a carefully designed WF under a series of cases with different wind speeds and reactive power requirements of the WF. The wind speed at each WT inside the WF is calculated using the Jensen wake model. The results show that the best reactive power dispatch strategy for loss minimization comes when the WF level strategy and WT level control are coordinated and the losses from each device in the WF are considered in the objective.

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Section: Loss Model Of Converters and The Filtermentioning

confidence: 99%

Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm

Zhang

Hou

et al. 2017

Energies

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“…Nevertheless, the reactive power capability curve of wind turbines is not considered. The incorporation of the active power-reactive power P-Q wind turbine curve in the Optimal Power Flow (OPF) algorithm is shown in [8,9]. In this instance, the method proposed obtains the set points and takes into consideration the loading capabilities of the wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Transmission of Offshore Wind Power Using a VSC-HVdc Interconnection

et al. 2017

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High-voltage dc transmission based on voltage-source converter (VSC-HVdc) is quickly increasing its power rating, and it can be the most appropriate link for the connection of offshore wind farms (OWFs) to the grid in many locations. This paper presents a steady-state operation model to calculate the optimal power transmission of an OWF connected to the grid through a VSC-HVdc link. The wind turbines are based on doubly fed induction generators (DFIGs), and a detailed model of the internal OWF grid is considered in the model. The objective of the optimization problem is to maximize the active power output of the OWF, i.e., the reduction of losses, by considering the optimal reactive power allocation while taking into account the restrictions imposed by the available wind power, the reactive power capability of the DFIG, the DC link model, and the operating conditions. Realistic simulations are performed to evaluate the proposed model and to execute optimal operation analyses. The results show the effectiveness of the proposed method and demonstrate the advantages of using the reactive control performed by DFIG to achieve the optimal operation of the VSC-HVdc.

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“…The reasonable reactive power distribution can reduce the network loss [1,2], improve the voltage quality [3,4], and maintain the normal operation of the power grid. Reactive power optimization method based on entropy weight method.…”

Section: Introductionmentioning

confidence: 99%

A Novel Reactive Power Optimization in Distribution Network Based on Typical Scenarios Partitioning and Load Distribution Matching Method

Liu

Geng

et al. 2017

Applied Sciences

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This paper proposed an entropy weight optimum seeking method (EWOSM) based on the typical scenarios partitioning and load distribution matching, to solve the reactive power optimization problem in distribution network under the background of big data. Firstly, the mathematic model of reactive power optimization is provided to analyze the relationship between the data source and the optimization schemes in distribution network, which illustrate the feasibility of using large amount of historical data to solve reactive power optimization. Then, the typical scenarios partitioning method and load distribution matching method are presented, which can select out some loads that have the same or similar distributions with the load to be optimized from historical database rapidly, and the corresponding historical optimization schemes are used as the alternatives. As the reactive power optimization is a multi-objective problem, the multi-attribute decision making method based on entropy weight method is used to select out the optimal scheme from the alternatives. The objective weights of evaluation indexes are determined by entropy weight method, and then the multi-attribute decision making problem is transformed to a single attribute decision making problem. Finally, the proposed method is tested on several systems with different scales and compared with existing methods to prove the validity and superiority.

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A Reactive Power Dispatch Strategy With Loss Minimization for a DFIG-Based Wind Farm

Cited by 95 publications

References 26 publications

Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm

Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm

Optimal Power Transmission of Offshore Wind Power Using a VSC-HVdc Interconnection

A Novel Reactive Power Optimization in Distribution Network Based on Typical Scenarios Partitioning and Load Distribution Matching Method

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