Generic Model of Active Distribution Network for Large Power System Stability Studies

Zali, Samila Mat; Milanović, Jovica V.

doi:10.1109/tpwrs.2012.2233223

Cited by 120 publications

(46 citation statements)

References 26 publications

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“…In this way, the accuracy of such representation should be validated before the algorithm proceeds. To validate the fitting and clustering procedures, the performance of the mentioned steps is evaluated by the Best Fit Value (BFV) criterion as described by (10) [3].

BFV = 1 - \frac{y - \overset{false^}{y}}{y - \overset{false¯}{y}}

where y is the measured signal,

\overset{false^}{y}

is the simulated model signal, and

\overset{false¯}{y}

is the mean of y .…”

Section: Proposed Equivalencing Methodsmentioning

confidence: 99%

“…Increasing penetration of MGs may affect distribution system dynamics, which, in turn, would affect the overall power system stability and dynamic behaviours. It means that a distribution network characterised with MGs, known as active distribution network (ADN), could not be considered as a lumped constant load (PQ) in power system stability studies [3]. Hence, an appropriate dynamical model of distribution system, as well generation and transmission levels, should be considered in large‐scale power system dynamic and stability investigations.…”

Section: Introductionmentioning

confidence: 99%

“…A grey‐box model, incorporated with evolutionary particle swarm optimisation, is employed for MG dynamic equivalencing purpose in [1]. Another attempt based on grey‐box representation of ADN is made in [3]. It proposes a seventh‐order model for an ADN in generic power system stability studies.…”

Section: Introductionmentioning

confidence: 99%

“…It proposes a seventh‐order model for an ADN in generic power system stability studies. The attempt to overcome the non‐robust feature of parameters estimation fails in [3]. Another grey‐box equivalent model and its validation are proposed in [6].…”

Section: Introductionmentioning

confidence: 99%

“…The need for developing of a low‐order robust dynamic equivalent model for ADN, driven by the demand for accurate large‐scale power system stability studies, is the main motivation of this paper. Owing to the fact that the equivalent model development is an identification process, and taking into account more physically relevant and intuitive of grey‐box identification in comparison with black‐box [3], the grey‐box modelling is employed for equivalent proposition. The proposed grey‐box modelling should be formulated based on a specific stability problem, which specifies the overall modelling framework.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Dynamic equivalencing of an active distribution network for large‐scale power system frequency stability studies

Golpîra

Seifi

Haghifam

2015

IET Generation, Transmission & Distribution

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BFV = 1 - \frac{y - \overset{false^}{y}}{y - \overset{false¯}{y}}

where y is the measured signal,

\overset{false^}{y}

is the simulated model signal, and

\overset{false¯}{y}

is the mean of y .…”

Section: Proposed Equivalencing Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dynamic equivalencing of an active distribution network for large‐scale power system frequency stability studies

Golpîra

Seifi

Haghifam

2015

IET Generation, Transmission & Distribution

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Evaluation of Equivalent Dynamic Active Distribution Network Models with Individual and Aggregated Consideration of Grid Forming Converters

Ungerland

Lens

2023

Energy Tech

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Detailed active distribution network modeling in the context of stability studies of future power systems can be avoided by applying complexity‐reduced equivalent dynamic models. Previous work developed an approach to derive such equivalent dynamic network models of systems dominated by grid following and grid forming converters. Nevertheless, this approach lacks an investigation of the aggregation of multiple grid forming converters to one equivalent component. Also, the approach needs to be evaluated for a closed ring topology to substantiate its validity independent of the detailed network topology. This work applies and validates the developed approach on active distribution networks in the context of three scenarios. The detailed and equivalent network models are simulated for three events and the results are used to compare the models with respect to accuracy and complexity. The derived equivalent dynamic network models with an individual representation of grid forming converters reproduce the dynamic behavior of the corresponding detailed networks very well. The aggregation of grid forming converters results in an adequate reproduction of the detailed network's dynamic behavior under the constraint of aggregating only neighboring grid forming converters of one branch. This allows for the consideration of the detailed network's topology in the corresponding equivalent dynamic model.

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Dynamic power system equivalence considering distributed energy resources using Prony analysis

Golpîra

Haghifam

Seifi

2014

Int. Trans. Electr. Energ. Syst.

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SUMMARYPower system dynamic equivalence, which has been developed to overcome the computational issues, is faced with new challenges by emerging distributed energy resources (DERs). The switching characteristic between DERs operational modes beside non-dispatchable inherent, that is, generation uncertainties, should be take into account in power system dynamic equivalencing. This paper proposes a switching-based dynamic equivalence modeling for power system considering DERs. Prony analysis is employed to fit a reduced-order model to a high-order system in frequency domain. The developed modelling strategy consists of high and low frequency equivalences. When the external system reconnects to the main network through the breaker, high-frequency equivalence is replaced with external system. This period contains 4 cycles for communication delay beside 5 cycles governor time constant, which give rises to a six-order equivalence model. Afterwards, a four-order low-frequency equivalence model is fitted to the external system in the connected grid mode. Accuracy of the fitted dynamic equivalences is investigated by calculating the mean square error between the measured signal and the Prony approximated one. A synchronous-based DER, a doubly-fed induction generators and a fuel cell DER are added to the CIGRE benchmark in order to analyse the proposed dynamic equivalence modelling. Simulation results demonstrate that the proposed equivalence modelling could exhibit the same results as the real external system in the frequency domain. Simulation results also reveal that increasing penetration of DERs affect the dynamic equivalence in gridconnected mode by degrading the higher frequencies while it has no impact on transient period equivalence.

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Generic Model of Active Distribution Network for Large Power System Stability Studies

Cited by 120 publications

References 26 publications

Dynamic equivalencing of an active distribution network for large‐scale power system frequency stability studies

Dynamic equivalencing of an active distribution network for large‐scale power system frequency stability studies

Evaluation of Equivalent Dynamic Active Distribution Network Models with Individual and Aggregated Consideration of Grid Forming Converters

Dynamic power system equivalence considering distributed energy resources using Prony analysis

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