A unified damping controller for non-stationary forced oscillation
- Authors: Surinkaew, Tossaporn , Emami, Kianoush , Shah, Rakibuzzaman , Mithulananthan, Nadarajah , Muyeen, S. , Fernando, Tyrone
- Date: 2022
- Type: Text , Journal article
- Relation: International Journal of Electrical Power and Energy Systems Vol. 143, no. (2022), p.
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- Description: Forced disturbances (FDs) with non-stationary frequencies can sequentially resonate from electromechanical modes (EMs) to sub/super synchronous modes (SSMs) and thus lead to non-stationary forced oscillations (FOs). Previous FO damping controllers designed for specified frequency bands may not be able to suppress the non-stationary FOs. This paper proposes a unified FO damping controller design method to deal with all oscillations caused by non-stationary FOs. The model of a power system with non-stationary FOs is obtained by a continuous model detection and identification of measured signals, which does not require any value of the system parameters. Accordingly, four stability indices, i.e., robustness, interaction, frequency, and damping ratio of the EMs and SSMs, can be calculated from the estimated model. At each operating point, these indices are monitored and used to optimally design the unified FO damping controller. The effectiveness of the proposed unified FO damping controller is verified in the modified Southeast Australian power system with converter controlled-based generations under various operating points and FO conditions. © 2022 Elsevier Ltd
Control of a microgrid using robust data-driven-based controllers of distributed electric vehicles
- Authors: Khemmook, Panya , Prompinit, Krisada , Surinkaew, Tossaporn
- Date: 2022
- Type: Text , Journal article
- Relation: Electric Power Systems Research Vol. 213, no. (2022), p.
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- Description: Current advancements in power electronic converters have paved a way to shift the attention from the traditional internal combustion engine to electric vehicles (EVs). In previous research works, the EVs are normally represented by an aggregate model or a first order transfer function, and they are mostly used for the frequency regulation in microgrids (MGs). These may not be valid assumptions since the EVs consist of various distributed units and power electronic converters. To make it more practical, distributed EV models with a function of MG voltage control should be further considered. This paper proposes an approach for MG voltage and frequency regulations using data-driven-based controllers for distributed EVs. Without requiring any MG parameters, information of uncertainties with respect to operation changes are monitored such that major stability indices, i.e., damping and robustness, can be automatically calculated. Considering these indices, the adaptive control technique is applied to design the controllers. The proposed adaptive data-driven-based controller is compared to a controller designed by considering dynamics of full-converter models. Simulation results are validated in a MG with renewable energy sources and distributed EVs under various operating points and uncertainties. © 2022 Elsevier B.V.
Control of distributed converter-based resources in a zero-inertia microgrid using robust deep learning neural network
- Authors: Ngamroo, Issarachai , Surinkaew, Tossaporn
- Date: 2024
- Type: Text , Journal article
- Relation: IEEE Transactions on Smart Grid Vol. 15, no. 1 (2024), p. 49-66
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- Description: Considering the evolution of future microgrids (MGs) towards zero-inertia level due to the penetrations of distributed converter-based resources (DCRs), a large number of data produced by these generations will lead the control decisions to be more complicated than conventional power systems. This paper presents a control strategy for a zero-inertia MG with DCRs using a robust deep learning neural network (RDeNN). In a training phase, a sub-space state-based identification method is employed to monitor and analyze the data regarding stability indices, i.e., damping and frequency of dominant modes, and robustness against uncertainties. In addition, a mixed H2/H
Coordinated decentralized and centralized microgrid control for distributed renewable energy sources with integrated batteries
- Authors: Ngamroo, Issarachai , Surinkaew, Tossaporn
- Date: 2022
- Type: Text , Journal article
- Relation: IET Renewable Power Generation Vol. 16, no. 15 (2022), p. 3251-3266
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- Description: Renewable energy sources (RESs) with integrated batteries (IBESSs) in microgrid (MGs) have well been developed by aggregate models in previous research works. Either decentralized or centralized control is applied as a standard platform to manage the aggregate models. However, these may not be valid assumptions in practical MGs, which consist of various distributed RESs with IBESSs and control platforms. As a result, controllers designed for the aggregate models may be ineffective, when they are applied for distributed models in actual MGs. To deal with these problems, this paper proposes a coordinated decentralized and centralized MG control strategy of distributed RESs and IBESSs (DIBESSs). New modellings of the distributed RESs with DIBESSs are developed here so that appropriate controllers can be designed to manage voltage and frequency of a MG. An adaptive-robust approach is applied to achieve flexible control performance of the RESs with DIBESSs against MG uncertainties, operating points, and conditions. Comparative analyses of the conventional, aggregate, and distributed models are made. Simulation results in an inertia-less microgrid with 100% RESs verify the capability of the proposed control strategy for the distributed models. © 2022 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
Effects of non-stationary forced oscillation on electromechanical modes
- Authors: Surinkaew, Tossaporn , Emami, Kianoush , Shah, Rakibuzzaman , Mithulananthan, Nadarajah
- Date: 2021
- Type: Text , Conference paper
- Relation: 2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021, Brisbane, 5-8 December 2021, 2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021
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- Description: The forced oscillation (FO) containing variable frequencies, known as non-stationary FO, has yet been well understood in power system engineers. This paper analyzes the effects of the non-stationary FO on electromechanical modes (EMs) in the range of 0.2 to 2.0 Hz. The non-stationary forced disturbance (FD) with such variable frequency bands is mathematically modeled. The injection of the non-stationary FD results in the non-stationary FO. A modified subspace-based state-space identification (so-called 4SID) method is applied to estimate the non-stationary frequencies and damping ratios of the EMs along with a moving window. Effects of the non-stationary FO on the EMs are compared to those of the conventional FO. Simulation results are verified in the future 14-machine Southeast Australian power system with converter controlled-based generations under various FO conditions. © 2021 IEEE
Forced oscillation detection amid communication uncertainties
- Authors: Surinkaew, Tossaporn , Shah, Rakibuzzaman , Nadarajah, Mithulananthan , Muyeen, S. , Emami, Kianoush , Ngamroo, Issarachai
- Date: 2021
- Type: Text , Journal article
- Relation: IEEE Systems Journal Vol. 15, no. 3 (SEP 2021), p. 4644-4655
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- Description: This article proposes a novel technique for the detection of forced oscillation (FO) in a power system with the uncertainty in the measured signals. The impacts of communication uncertainties on measured signals are theoretically investigated based on the mathematical models developed in this article. A data recovery method is proposed and applied to reconstruct the signal under the effects of communication losses. The proposed FO detection with communication uncertainties is evaluated in the modified 14-machine Southeast Australian power system. A rigorous comparative analysis is made to validate the effectiveness of the proposed data recovery and FO detection methods.
Forced oscillation in power systems with converter controlled-based resources- a survey with case studies
- Authors: Surinkaew, Tossaporn , Emami, Koanoush , Shah, Rakibuzzaman , Islam, Syed , Mithulananthan, N.
- Date: 2021
- Type: Text , Journal article
- Relation: IEEE Access Vol. 9, no. (2021), p. 150911-150924
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- Description: In future power systems, conventional synchronous generators will be replaced by converter controlled-based generations (CCGs), i.e., wind and solar generations, and battery energy storage systems. Thus, the paradigm shift in power systems will lead to the inferior system strength and inertia scarcity. Therefore, the problems of forced oscillation (FO) will emerge with new features of the CCGs. The state-of-the-art review in this paper emphasizes previous strategies for FO detection, source identification, and mitigation. Moreover, the effect of FO is investigated in a power system with CCGs. In its conclusion, this paper also highlights important findings and provides suggestions for subsequent research in this important topic of future power systems. © 2013 IEEE.
Forced oscillation management in a microgrid with distributed converter-based resources using hierarchical deep-learning neural network
- Authors: Surinkaew, Tossaporn , Emami, Kianoush , Shah, Rakibuzzaman , Islam, Md Rabiul , Islam, Syed
- Date: 2023
- Type: Text , Journal article
- Relation: Electric Power Systems Research Vol. 222, no. (2023), p.
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- Description: In future microgrids (MGs), increasing penetration of distributed converter-based resources (DCRs) has inevitably resulted in the problem of inertia scarcity. The interaction, combination, and/or resonance among converter control loops of DCRs, forced inputs, grid parameters, parasitic elements in networks, and system dominant modes can lead to major forced oscillations (FOs). Previous research works mostly focused the problem of FOs on large-scale power systems. However, the effects of FOs in MGs may be more severe than large-scale power systems due to the lower system inertia. With different characteristics of each DCR, conventional FO management methods applied in large-scale power systems may be ineffective. In this paper, a unified AI-framework named hierarchical deep-learning neural network (HiDeNN) is proposed to effectively handle the FOs in a MG with DCRs. To properly managing the FOs, the HiDeNN is divided into three levels for FO detection, identification, and mitigation, respectively. By considering big data produced from DCRs, the HiDeNN is used to solve complicated FO management problems with a low computational demand. By comparison to conventional FO management methods, performances of the proposed HiDeNN are verified in the modified IEEE 13-node feeder with DCRs under various operating points and FO conditions. © 2023
Forced oscillation suppression using extended virtual synchronous generator in a low-Inertia microgrid
- Authors: Kerdphol, Thongchart , Ngamroo, Issarachai , Surinkaew, Tossaporn
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Electrical Power and Energy Systems Vol. 151, no. (2023), p.
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- Description: Effects of forced oscillations (FOs) in well-damped power systems are relatively smaller than those of microgrids (MGs) in which the severity of the FOs may be intensified by converter interfaced generators (CIGs). According to the distinct system characteristics, the FOs in MGs will be challenging problems in future research topics. Without proper controls of the CIGs, the FOs may be exhibited extremely higher amplitude, resulting in the MG instability. Such influences will be exacerbated in a low-inertia MG, which can trigger critical frequency oscillation and system collapse. This paper introduces an extended virtual synchronous generator (VSG) with virtual forced components to attenuate the dynamic FO effects in the presence of a low-inertia MG. Contrastive scenarios, i.e., periodic, combined, full sine, and high-frequency FOs are conducted to validate the performances of VSG control in both stand-alone and interconnected MG environments. Numerical results verify that the extended VSG control provides promising benefits in a low-inertia MG not only for the sake of MG stability improvement but also the further FO suppression. © 2023 Elsevier Ltd
Risk and resiliency assessments of renewable dominated edge of grid under high-impact low-probability events -a Review
- Authors: Surinkaew, Tossaporn , Shah, Rakibuzzaman , Islam, Syed
- Date: 2022
- Type: Text , Conference paper
- Relation: 2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022, New Delhi, India, 23-25 September 2022, 2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)
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- Description: Low-probability high-impact (HILP) events such as windstorms, earthquakes, wildfires, and floods, which can cause significant damages to power systems, are inevitable and unpredictable. Besides, uncertainties from distributed renewable energy resources may prevent conventional techniques to improve reliability of power grids. In previous research works, several strategies have been introduced to investigate risk and resiliency, and to find effective solutions to improve system reliability under such extreme events. In this paper, a critical review of these strategies is presented. Modelings of the HILP events are dis-cussed. In the conclusion, this paper pinpoints significant findings and give directions for robustly protecting power systems. © 2022 IEEE.