Application of Multi-Resonator Notch Frequency Control for Tracking the Frequency in Low Inertia Microgrids Under Distorted Grid Conditions

Arani, Zahra Dehghani; Taher, Seyed Abbas; Ghasemi, Amir H.; Shahidehpour, Mohammad

doi:10.1109/tsg.2017.2738668

Cited by 32 publications

(6 citation statements)

References 35 publications

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“…The idea of introducing the virtual inertia into a microgrid with high penetration of renewable sources has been widely adopted [22][23][24]. In a conventional power system, the system inertia can be determined by the classical swing equation [29]…”

Section: Virtual Inertia Controlmentioning

confidence: 99%

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Decentralized Frequency Control of Battery Energy Storage Systems Distributed in Isolated Microgrid

Pinthurat

Hredzak

2020

Energies

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The penetration and integration of renewable energy sources into modern power systems has been increasing over recent years. This can lead to frequency excursion and low inertia due to renewable energy sources’ intermittency and absence of rotational synchronous machines. Battery energy storage systems can play a crucial role in providing the frequency compensation because of their high ramp rate and fast response. In this paper, a decentralized frequency control system composed of three parts is proposed. The first part provides adaptive frequency droop control with its droop coefficient a function of the real-time state of charge of battery. The second part provides a fully decentralized frequency restoration. In the third part, a virtual inertia emulation improves the microgrid resilience. The presented results demonstrate that the proposed control system improves the microgrid resilience and mitigates the frequency deviation when compared with conventional ω -P droop control and existing control systems. The proposed control system is verified on Real-Time Digital Simulator (RTDS), with accurate microgrid model, nonlinear battery models and detailed switching models of power electronic converters.

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Section: Virtual Inertia Controlmentioning

confidence: 99%

“…In [22], a decentralized frequency recovery, synthetic inertia control and conventional ω-P formed as a PID controller was proposed. Virtual inertia control was also proposed for strengthening the microgrid and improving the frequency regulation [3,23,24].…”

Section: Introductionmentioning

confidence: 99%

Decentralized Frequency Control of Battery Energy Storage Systems Distributed in Isolated Microgrid

Pinthurat

Hredzak

2020

Energies

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“…Ali et al [28] proposed a decoupled network composed of multiple SRFs to eliminate the NS and DC-offset voltages, and utilized the harmonic compensation network to eliminate the harmonic and interharmonic voltages. References [29,30] proposed a decoupling network composed of multiple SOGI to detect the PS and NS higher-harmonic voltages. References [15,31] proposed multiple CCF-PLL (MCCF-PLL) technique (or called as multiple adaptive vectorial filters FLL in [32]) to extract the PS, NS, and higher-harmonic components from the grid voltages.…”

Section: Introductionmentioning

confidence: 99%

Tan-Sun Transformation-Based Phase-Locked Loop in Detection of the Grid Synchronous Signals under Distorted Grid Conditions

2020

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When three-phase voltages are polluted with unbalance, DC offsets, or higher harmonics, it is a challenge to quickly detect their parameters such as phases, frequency, and amplitudes. This paper proposes a phase-locked loop (PLL) for the three-phase non-ideal voltages based on the decoupling network composed of two submodules. One submodule is used to detect the parameters of the fundamental and direct-current voltages based on Tan-Sun transformation, and the other is used to detect the parameters of the higher-harmonic voltages based on Clarke transformation. By selecting the proper decoupling vector by mapping Hilbert space to Euclidean space, the decoupling control for each estimated parameter can be realized. The settling time of the control law can be set the same for each estimated parameter to further improve the response speed of the whole PLL system. The system order equals the number of the estimated parameters in each submodule except that a low-pass filter is required to estimate the average amplitude of the fundamental voltages, so the whole PLL structure is very simple. The simulation and experimental results are provided in the end to validate the effectiveness of the proposed PLL technique in terms of the steady and transient performance.

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“…To mitigate these PQ issues, several control schemes are reported in the literature [16,17]. Some of these are, an adaptive vectorial filter [18], delayed signal cancellation [19], frequency adaptive moving average filter [20], and multilayer resonator notch frequency control [21]. These techniques are either complex or use multiple blocks for their operation, which result in an increase in the computational complexity and affect the performance of the system.…”

Section: Introductionmentioning

confidence: 99%

Single‐phase wind‐BES microgrid with seamless transition capability

Gupta

Singh

2020

IET Power Electronics

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A new control strategy for a wind-BES (battery energy storage) microgrid is presented, which controls the power transfer and the mode of operation seamlessly from an islanded mode (IM) to the grid connected mode (GCM) and vice versa. In GCM, the DC link voltage regulation, the load reactive power compensation and harmonics current mitigation are performed by the load side voltage source converter (LVSC) using a double sinusoidal signal integrator (DSSI) based control algorithm. The maximum power from the wind generation is extracted by operating the generator side voltage source converter (GSC). At the grid fault or grid disturbances, this microgrid operates in IM and LVSC is controlled in the voltage control mode. A synchronizing controller is utilized to control the operation of synchronization. The grid current and point of common coupling (PCC) voltage distortions are kept within the limit as per the IEEE-519-2014 and the IEEE-1547 standards. The system operation is demonstrated through test results at several conditions such as, changing wind speeds, varying loads and seamless transition. 1 INTRODUCTION The contribution of renewable energy sources (RESs) in the power generation is increasing to meet the growing demand and to replace the existing conventional sources of energy, i.e. fossil fuels, which are towards depletion [1-5]. RESs are freely available in nature, and clean source of energy. The RESs with a battery energy storage (BES), forms a microgrid (MG), which works in an islanded mode (IM) and the grid connected mode (GCM) along with seamless transition with continuously supplying the loads without interruption [6]. A power interruption to the loads, may lead to damage, malfunctioning and important data loss etc. In RESs, depending on its output supply, i.e. AC or DC, one or more power converters are required to interface the MG to the utility grid. Along-with the power generation, the MG has the capabilities of supplying an active power to the utility grid. It improves the power quality (PQ) in terms of active filtering and compensates the reactive power demand of the load [7, 8]. The wind energy for the power generation is gaining popularity due to continuous improvement in the generator and power converter technology. The same is encouraged by the 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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Application of Multi-Resonator Notch Frequency Control for Tracking the Frequency in Low Inertia Microgrids Under Distorted Grid Conditions

Cited by 32 publications

References 35 publications

Decentralized Frequency Control of Battery Energy Storage Systems Distributed in Isolated Microgrid

Decentralized Frequency Control of Battery Energy Storage Systems Distributed in Isolated Microgrid

Tan-Sun Transformation-Based Phase-Locked Loop in Detection of the Grid Synchronous Signals under Distorted Grid Conditions

Single‐phase wind‐BES microgrid with seamless transition capability

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