Identification of Dynamic Equivalents of Active Distribution Networks through MVMO

Gusain, Digvijay; Rueda, J.L.; Boemer, Jens C.; Pálenský, Peter

doi:10.1016/j.ifacol.2016.10.701

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…The choice of DE was motivated by the comparison reported in [29], where it outperformed other algorithms on various benchmark problems. A systematic comparison with other methods -such as those used in [30], [31], [32], [33] -was outside the scope of this research. While other algorithms could offer a most welcome speed-up, DE has been found to be a reliable solver for the optimization problem (1)-( 4) in a large number of cases.…”

Section: Solving the Optimization Problem (1)-(4)mentioning

confidence: 99%

An Active Distribution Network Equivalent Derived From Large-Disturbance Simulations With Uncertainty

Chaspierre

Denis²,

Panciatici³

et al. 2020

IEEE Trans. Smart Grid

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A reduced-order, "grey-box" model of an active distribution network, intended for dynamic simulations of the transmission system, is derived. The network hosts inverter-based generators as well as static and motor loads, whose dynamic parameters are affected by uncertainty. This issue is addressed using Monte-Carlo simulations. The parameters of the equivalent are adjusted to match as closely as possible the average of the randomized responses, while their dispersion is accounted for through the weights of the weighted least-square minimization. A procedure is used to remove from the identification the parameters with negligible impact. To avoid over-fitting, the equivalent is tuned for multiple large-disturbance simulations. A recursive procedure is used to select the smallest possible subset of disturbances involved in the least-square minimization. Simulation results with a 75-bus MV test-system are reported. They show that the equivalent is able to reproduce with good accuracy the discontinuous controls of inverter-based generators, such as reactive current injection and tripping. Index Terms-active distribution network, inverter-based generator, dynamic equivalent, grey-box model, uncertain dynamic model, Monte-Carlo simulations, LASSO method.

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Section: Solving the Optimization Problem (1)-(4)mentioning

confidence: 99%

An Active Distribution Network Equivalent Derived From Large-Disturbance Simulations With Uncertainty

Chaspierre

Denis²,

Panciatici³

et al. 2020

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

show abstract

Optimal sitting, sizing and control of battery energy storage to enhance dynamic stability of low‐inertia grids

Jannesar,

Sadr,

Savaghebi

2024

IET Renewable Power Gen

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As inverter‐based resources like wind turbines increase, grid inertia and stability decrease. Optimal placement and control of energy storage systems can stablise low‐inertia grids. This paper investigates how optimal battery energy storage systems (BESS) enhance stability in low‐inertia grids after sudden generation loss. The sitting, sizing and control of BESS are determined simultaneously in each genetic algorithm (GA) population, then voltage and frequency stability is evaluated based on the network simulation. This continues until the optimal solution is found. A network based on Kundur's four‐machine system is modelled for the first study and two of the four synchronous generators (SGs) have been replaced with wind farms. Then, the production of the third SG has been decreased by 13%. According to the results, addition of wind farms causes the frequency drop below 49.6 Hz for more than 5 min, indicating instability. It is also demonstrated that with optimal control parameters and placement, a 60 MW BESS can alleviate the voltage and frequency fluctuations, leading to enhanced stability. This method has also been tested on the IEEE 39‐bus network, where the installation of a BESS with a capacity of 9 MVA could restore the frequency stability.

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Derivation of WECC distributed PV system model parameters from quasi-static time-series distribution system simulations

Boemer

Vittal

Rylander

et al. 2017

2017 IEEE Power &Amp; Energy Society General Meeting

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Identification of Dynamic Equivalents of Active Distribution Networks through MVMO

Cited by 4 publications

References 10 publications

An Active Distribution Network Equivalent Derived From Large-Disturbance Simulations With Uncertainty

An Active Distribution Network Equivalent Derived From Large-Disturbance Simulations With Uncertainty

Optimal sitting, sizing and control of battery energy storage to enhance dynamic stability of low‐inertia grids

Derivation of WECC distributed PV system model parameters from quasi-static time-series distribution system simulations

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