Damping control for a target oscillation mode using battery energy storage

Utilizing energy storage systems equipped with virtual/synthetic inertia control has emerged as one of the solutions to solve low inertia issues in power systems with massive penetration of renewables. However, while the aspect regarding the control of the synthetic inertia control has been widely investigated, the optimal placement of synthetic inertia control is rarely investigated. Therefore, the optimal placement of energy storage system with synthetic inertia control based on swarm-based mean-variance mapping optimization is proposed. The performance of the proposed method is tested by considering several cases, both single and multiple contingencies. By utilizing the proposed method, the optimal placement of energy storage system equipped with synthetic inertia control could be obtained, in which the resulting frequency response is better compared to randomly placed ones. The proposed method could also be applied by considering multiple contingencies in different locations. Furthermore, the resulting fitness values for different independent optimization repetitions for various study cases are consistent, leading to the efficacy to be applied in the actual power system planning.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Finally, the power output of the VSG is given as ref. [27]:

P_{normalES} = \{\begin{matrix} \frac{P_{normalref}}{1 + T_{ES} . s}, \\ 0, \end{matrix} \begin{matrix} \begin{matrix} SOC < SO {normalC}_{normalmax} normaland P_{normalref} < 0 \\ SOC > SO {normalC}_{normalmin} and P_{normalref} > 0 \end{matrix} \\ otherwise \end{matrix},

P_{normalES} \in [P_{ES, normalmin}, P_{ES, normalmax}], P_{normalref} = (J_{normalVI} s + D_{normalVI}) (Δ f) .

…”

Section: Energy Storage and Virtual Synchronous Generator Modelmentioning

confidence: 99%

Swarm‐based mean‐variance mapping optimization for optimal placement of energy storage with synthetic inertia control on a low inertia power grid

Rahman

Israjuddin²,

Hariyanto

et al. 2021

IET Generation Trans & Dist

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“…Generally speaking, automatic voltage regulators (AVR) on generators [21], FACTS equipment (e.g., SVC, static synchronous compensator) [8], HVDC [27], inverter-based power source (e.g., energy storage, doubly-fed induction generator, photovoltaic) [28], [29] all can be used for damping LFOs. Hence, the input signal of the power system model for a WADC design can be the corresponding auxiliary input of these above devices.…”

Section: A Control Loop Selectionmentioning

confidence: 99%

Unified Residue Method for Design of Compact Wide-area Damping Controller Based on Power System Stabilizer

Zhang

et al. 2020

Journal of Modern Power Systems and Clean Energy

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A wide-area damping controller (WADC) is effective in damping inter-area low-frequency oscillation (LFO), if the time delay in a wide-area control loop can be properly handled. In order to simplify the WADC design and enlarge the delay adaptation range, the classic power system stabilizer (PSS) is adopted, and a new unified residue (UR) method is proposed for compact WADC design. The strategy of control loop selection is also improved by modifying the relative residue index based on a few dominant oscillation modes. The designed PSSbased compact WADC is as simple as classic PSS with no more than two lead-lag phase compensation units. Case studies are carried out on an IEEE 16-machine 68-bus power system. Simulation results demonstrate that the control loop selection before the WADC design is necessary and that the proposed selection strategy can easily pick out the suitable candidate control loops. In addition, it is feasible for the UR method to design WADCs with different time delays in the selected control loops. All the designed WADCs are effective in damping inter-area LFO and robust to time delay variations under operation conditions. Comparisons among five design methods for PSS-based WADC show that the proposed UR method is superior in delay adaptation, the conciseness of WADC structure and computation speed of parameters. Index Terms-Wide-area measurement system (WAMS), time delay, wide-area damping controller (WADC), power system stabilizer (PSS).

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“…In existing literature, BESSs are proposed to mitigate lowfrequency natural oscillations as actuators [16]- [19], but not forced oscillations. For instance, optimal placement and control parameters of BESSs are determined by the mixedinteger Particle Swarm Optimization algorithm to improve the damping of power system natural oscillations in [18]. In [19], a coordinated control of wind farms and BESSs is proposed to suppress inter-area natural oscillations.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Method to Mitigate Forced Oscillations in Large Interconnected Power Grids

Zhu

Jiang

et al. 2021

IEEE Access

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Multiple severe forced oscillation events have recently been observed across the North American interconnections and around the world. These forced oscillations have caused power swings, limited power transfer capability, damaged equipment, and persisted indefinitely until the driving source was located and removed. This paper proposes a comprehensive method to mitigate forced oscillations. Once a forced oscillation is detected, a new source location algorithm can be used to locate the source based on the oscillation mode angle without requiring system topology information. If the source cannot be quickly located and removed, a control strategy can be activated to modulate the active power of utility-scale inverter-based battery energy storage systems (BESSs) to reduce the energy of forced oscillations to a safe level and allow sufficient time for locating the exact source. The proposed source location algorithm is validated using measurements collected during the January 11, 2019 forced oscillation event in North America and other actual grid events, while the proposed control strategy is verified using the Eastern Interconnection dynamic model under the replicated January 11, 2019 forced oscillation event. The simulation results demonstrated that the proposed source location algorithm can accurately identify the forced oscillation source, and the proposed control strategy can significantly reduce forced oscillation energy.

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Damping control for a target oscillation mode using battery energy storage

Cited by 30 publications

References 22 publications

Swarm‐based mean‐variance mapping optimization for optimal placement of energy storage with synthetic inertia control on a low inertia power grid

Swarm‐based mean‐variance mapping optimization for optimal placement of energy storage with synthetic inertia control on a low inertia power grid

Unified Residue Method for Design of Compact Wide-area Damping Controller Based on Power System Stabilizer

A Comprehensive Method to Mitigate Forced Oscillations in Large Interconnected Power Grids

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