Research on the control strategy of energy storage participation in power system frequency regulation

Li, Junhui; Gao, Zhuo; Mu, Gang; Fan, Xingkai; Zhang, Zheshen; Zou, Jun

doi:10.1002/2050-7038.12676

Cited by 7 publications

(3 citation statements)

References 32 publications

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“…In recent years, with the high penetration of wind and solar renewable energy in the power grid and the power fluctuation caused by the strong randomness and intermittence of renewable energy has aroused considerable attention [1]. Owing to the responding time delay and the insufficient ramp rate, conventional generation has difficulty following the rapid power variation in renewable energy, and the incurred instability issue of system frequency cannot be ignored any longer [2,3].…”

Section: Introductionmentioning

confidence: 99%

Frequency Regulation of Electric Vehicle Aggregator Considering User Requirements with Limited Data Collection

et al. 2023

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High penetration of renewable energy in the power grid causes serious frequency deviations. Large-scale integrations of electric vehicles (EVs) in the power grid provide considerable vehicle-to-grid potential for frequency regulation. Existing frequency regulation strategies with aggregated EVs realize accurate power control that relies on complete information interaction between the EV aggregator and individual EVs. However, the data collection for all EV parameters is not applicable due to privacy protection and the limited communication environment. Considering the limited data collection from grid-connected EVs, this paper provides a novel frequency regulation strategy and tends to address the uncertain influence from EV users’ charging requirements, the EV aggregator’s power regulation, and the frequency regulation performance. Firstly, considering the influence of the limited data collection by EVs on the users’ requirement of traveling and regulation preference, a probabilistic evaluation model for the available regulation capacity of the EV aggregator and the probabilistic control method for EVs are developed. Then, a frequency regulation strategy with error correction control and progressive regulation recovery is developed to simultaneously guarantee the system frequency regulation performance and the regulation requirements of EV users. Finally, case studies are carried out to validate the effectiveness of frequency regulation strategy for decreasing the uncertain influence from the limited data collection, ensuring the EV users’ requirements, and improving the system frequency stability.

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Section: Introductionmentioning

confidence: 99%

Frequency Regulation of Electric Vehicle Aggregator Considering User Requirements with Limited Data Collection

et al. 2023

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“…Literature [14] investigated the performance of battery energy storage participating in the frequency regulation of the all-island Irish transmission system, and the results showed that sufcient capacity of battery energy storage can reduce grid frequency fuctuations efectively. Te fuzzy theory approach was used to study the frequency regulation strategy of battery energy storage in the literature [15], and an economic efciency model for frequency regulation of battery energy storage was also established. Literature [16] proposes a method for fast frequency regulation of battery based on the amplitude phase-locked loop.…”

Section: Introductionmentioning

confidence: 99%

Research on the Frequency Regulation Strategy of Large-Scale Battery Energy Storage in the Power Grid System

Ren

Xue

et al. 2022

International Transactions on Electrical Energy Systems

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Driven by the carbon peaking and carbon neutrality target, the large-scale grid-connected of renewable energy such as wind and solar has increased, and the volatility and randomness have posed new challenges to the stability of the power grid frequency. In this case, battery energy storage is a grid auxiliary resource with fast response and adjustable parameters, which can provide frequency support for the grid system in a short period. This paper studies the frequency regulation strategy of large-scale battery energy storage in the power grid system from the perspectives of battery energy storage, battery energy storage station, and battery energy storage system, respectively. First of all, the droop control based on logistic function and the virtual inertia control based on piecewise function are proposed for battery energy storage frequency regulation, which improves the performance of battery energy storage power output effectively. Second, the weighting factor is set according to the current battery charge to achieve the most optimal distribution of frequency regulation power for each battery pack in the battery energy storage station. In the end, a control framework for large-scale battery energy storage systems jointly with thermal power units to participate in system frequency regulation is constructed, and the proposed frequency regulation strategy is studied and analyzed in the EPRI-36 node model. The results of the study show that the proposed battery frequency regulation control strategies can quickly respond to system frequency changes at the beginning of grid system frequency fluctuations, which improves the stability of the new power system frequency including battery energy storage. In addition, this paper also provides a certain reference for the construction of the new power system dispatching that integrates “Generation-Grid-Load-Storage” in the future.

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“…Li et al proposed a review that highlights the recent research on the control strategy of EESs contribution in power system frequency regulation. 26 A control on the ESSs is proposed to perform a frequency regulation during wind speed variation. 27 The interest in improving the lifespan of storage devices has attracted the attention of many researchers.…”

Section: Introductionmentioning

confidence: 99%

Multi‐microgrid intelligent load shedding for optimal power management and coordinated control with energy storage systems

2021

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This paper deals with optimal multi-stage power management and control coordinated with load shedding in interconnected microgrid (MG) with various renewable energy sources (RESs), namely: wind turbine, photovoltaic generator and concentrated solar power generator. Hybrid energy storage systems including electrical vehicles, fuel cells, redox flow batteries and superconducting magnetic energy storage have been introduced to improve the overall MG frequency dynamic performances in case of renewable energy integration and load disturbances. To improve the interconnected MG tie-lines power control, flexible alternating current transmission systems are added. For an optimal and robust solution, an artificial intelligence strategy is proposed, combining a load frequency control-based cascade Fuzzy-proportional-integral-derivative controller with filter (PIDN). In doing so, a recently metaheuristic algorithm that mimics the social behavior of elephants in nature, named Elephant Herding Optimization, has been employed to optimize the Fuzzy-PIDN controller gains. To show the effectiveness and superiority of the proposed control strategy, various scenarios are carried out. A comparative study in view of a settling time and peak over/undershoot has been performed.The obtained results demonstrate that the proposed control strategy gives good performances for MG power management and control under RESs integration and load disturbances scenarios.

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Research on the control strategy of energy storage participation in power system frequency regulation

Cited by 7 publications

References 32 publications

Frequency Regulation of Electric Vehicle Aggregator Considering User Requirements with Limited Data Collection

Frequency Regulation of Electric Vehicle Aggregator Considering User Requirements with Limited Data Collection

Research on the Frequency Regulation Strategy of Large-Scale Battery Energy Storage in the Power Grid System

Multi‐microgrid intelligent load shedding for optimal power management and coordinated control with energy storage systems

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