An Optimized Control Model of Battery Energy Storage Systems for Primary Frequency Response

Cui, Xiwen; Li, Xinran; Zhang, Kun; Wen, Yizhang; Meng, Yan

doi:10.1109/isgt-asia.2019.8881191

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…If the conventional ω-P droop control is applied to BESSs, the BESSs with lower SOCs may prematurely run out of energy and are not anymore able to contribute to the frequency regulation. Figure 11 compares performance of the proposed adaptive frequency droop control with the conventional frequency droop control and similar control systems from [15,31]. Note that in the comparison, the initial SOCs of the BESSs were set to 50%.…”

Section: Scenario 1: Adaptive Droop Controlmentioning

confidence: 99%

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: Scenario 1: Adaptive Droop Controlmentioning

confidence: 99%

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

Pinthurat

Hredzak

2020

Energies

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Frequency Event Detection and Mitigation in Power Systems: A Systematic Literature Review

Farooq

Bass

2022

IEEE Access

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Modern power systems characterized by complex topologies require accurate situational awareness to maintain an adequate level of reliability. Since they are large and spread over wide geographical areas, it is inevitable that failures will occur. Various generation and transmission disturbances, such as generator and transmission line tripping and load disconnection, give rise to a mismatch between generation and demand, which manifest as frequency events. These events can take the form of negligible frequency deviations or more severe emergencies that can precipitate cascading outages, depending on the severity of the disturbance and efficacy of remedial action schema. The impacts of such events have become more critical recently due to increased levels of renewable penetration and distributed energy resources, which have caused a decline in system synchronous inertia. Due to the repercussions, it is indispensable to arrest such disturbances on time by activating primary frequency control measures. In this paper, a comprehensive systematic literature review is presented on the techniques used for event detection in power systems and the methods of primary frequency response in modern power systems. The paper also highlights the impacts of severe frequency events within power systems.

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An Optimized Control Model of Battery Energy Storage Systems for Primary Frequency Response

Cited by 2 publications

References 17 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

Frequency Event Detection and Mitigation in Power Systems: A Systematic Literature Review

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