Optimization Control of Large-Capacity High-Speed Flywheel Energy Storage Systems

Yuan, Huawei; Jiang, Xinjian; Wang, Qiunan; Li, Junxian

doi:10.1109/is3c.2016.279

Cited by 2 publications

(1 citation statement)

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“…A block considering the delay introduced by the power converter is also introduced in the model [27]. Further details about FESS modelling including converter characteristics are given in [29], [30].…”

Section: Flywheel Energy Storage System (Fess) Modelmentioning

confidence: 99%

Controller to enable the enhanced frequency response services from a multi‐electrical energy storage system

Sanchez

Cayenne

González-Longatt

et al. 2018

IET Generation, Transmission & Distribution

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The increased adoption of renewable energy generation is reducing the inertial response of the Great Britain (GB) power system, which translates into larger frequency variations in both transient and pseudo-steady-state operation. To help mitigate this, National Grid (NG), the transmission system operator in GB, has designed a control scheme called Enhanced Frequency Response (EFR) specifically aimed at energy storage systems (ESSs). This paper proposes a control system that enables the provision of EFR services from a multi-electrical energy storage system (M-EESS) and at the same time allows the management of the state of charge (SOC) of each ESS. The proposed control system uses a Fuzzy Logic Controller (FLC) to maintain the SOC as near as possible to the desired SOC of each ESS while providing EFR. The performance of the proposed controller is validated in transient and steady-state domains. Simulation results highlight the benefits of managing the SOC of the energy storage assets with the proposed controller. These benefits include a reduced rate of change of frequency (ROCOF) and frequency nadir following a loss of generation as well as an increase in the service performance measure (SPM) which renders into increased economic benefits for the service provider.

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Section: Flywheel Energy Storage System (Fess) Modelmentioning

confidence: 99%