Loss minimizing operation of doubly fed induction generator based wind generation systems considering reactive power provision

Zhang, Baohua; Hu, Weihao; Chen, Zhe

doi:10.1109/iecon.2014.7048799

Cited by 16 publications

(14 citation statements)

References 14 publications

(18 reference statements)

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“…the studies by Petersson, Zhang and Zhou. [24][25][26] The fact that their results have been largely ignored by the papers written from system perspective supports the idea that for system analyses, WP models with lower modelling detail would be helpful.…”

Section: Literature Analysismentioning

confidence: 89%

“…For the type of DFIG simulated here, where both stator and GSC contribute to reactive power control, the partitioning of reactive power into stator and GSC component constitutes a degree of freedom . Various approaches to identifying the loss‐minimal repartition factor

α = \frac{I_{normal c f, q}}{I_{normal s q}}

have been presented in literature . Here, the new approach consists of introducing a cascaded optimization: The inner problem consists of identifying the optimal repartition of reactive power into stator and GSC components.…”

Section: Model and Methodologymentioning

confidence: 99%

“…46 Various approaches to identifying the loss-minimal repartition factor˛D I cf,q I sq have been presented in literature. 16,25 Here, the new approach consists of introducing a cascaded optimization: The inner problem consists of identifying the optimal repartition of reactive power into stator and GSC components. All loss components are considered, including iron, filter and converter losses.…”

Section: Cascaded Optimization Of Dfig With Gsc Reactive Power Contrimentioning

confidence: 99%

“…Beyond the selection of Table , a large number of works exist that are fully dedicated to analysing generator losses from WP perspective, e.g. the studies by Petersson, Zhang and Zhou . The fact that their results have been largely ignored by the papers written from system perspective supports the idea that for system analyses, WP models with lower modelling detail would be helpful.…”

Section: Introductionmentioning

confidence: 99%

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Models of reactive power‐related wind park losses for application in power system load flow studies

Kaempf

Braun

2017

Wind Energy

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In power system load flow studies, it is common to ignore wind park (WP) losses completely, since WPs are obliged to provide reactive power as a free-of-charge ancillary service. Strongly simplified WP loss estimations are also widespread. Prevailing loss modelling approaches may result in substantial and so far usually ignored reactive power allocation inefficiencies. The innovation of this paper lies in demonstrating this and in presenting an alternative modelling approach that combines speed, ease-of-use and accuracy. Calculations are based on a generic WP connected to 110 kV. It is simulated once using gearless permanent magnet synchronous generators and once using doubly fed induction generators. In this way, for the first time, the consequences of neglecting differences between wind generator types when calculating reactive power-related losses are systematically quantified. Loss-minimal dispatch is assessed using heuristic optimal power flow. Relevance of findings is demonstrated for the application of reducing system losses based on reactive power control of WPs in closed-loop optimal power flow schemes. It is shown that non-consideration of WP losses may lead to dispatch decisions where the increase in WP losses outweighs the achieved loss reduction in the 110 kV system by 400%. The study facilitates comparing reactive power ancillary services from WPs to that of other technologies from an economic perspective. It concludes by a benchmarking overview of pros and cons of modelling alternatives

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Section: Literature Analysismentioning

confidence: 89%

α = \frac{I_{normal c f, q}}{I_{normal s q}}

Section: Model and Methodologymentioning

confidence: 99%

Section: Cascaded Optimization Of Dfig With Gsc Reactive Power Contrimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Models of reactive power‐related wind park losses for application in power system load flow studies

Kaempf

Braun

2017

Wind Energy

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“…The sharing ratio is iteratively calculated and a look-up table is formed, which can be used to set the reactive power reference for the GSC controller and the RSC controller. The loss of the filter is included in the objective function in [37] for minimizing the total electrical losses inside the DFIG-based WT system. The authors derived an equation to calculate the reference of the q-axis rotor current I re f rq with the changing variables P mec and Q re f WT .…”

Section: Strategy 4: Minimum Wt Loss Controlmentioning

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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Proposed control policy for high power transfer capability DFIG

Elsonbaty

Enany

Diab

2018

Electric Power Systems Research

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Loss minimizing operation of doubly fed induction generator based wind generation systems considering reactive power provision

Cited by 16 publications

References 14 publications

Models of reactive power‐related wind park losses for application in power system load flow studies

Models of reactive power‐related wind park losses for application in power system load flow studies

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

Proposed control policy for high power transfer capability DFIG

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