Coordination of synthetic inertia from wind turbines and battery energy storage systems to mitigate the impact of the synthetic inertia speed-recovery period-Reference-Cited by-同舟云学术

Coordination of synthetic inertia from wind turbines and battery energy storage systems to mitigate the impact of the synthetic inertia speed-recovery period

Published:2024-03 Issue: Volume:223 Page:120037
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Boyle James,Littler Timothy^ORCID,Foley Aoife M.^ORCID

Publisher

Elsevier BV

Reference29 articles.

1. The role of inertia for grid flexibility under high penetration of variable renewables - a review of challenges and solutions;Makolo;Renew. Sustain. Energy Rev.,2021

2. Synthetic inertia and frequency support assessment from renewable plants in low carbon grids;Kushwaha;Elec. Power Syst. Res.,2022

3. System impact studies for near 100% renewable energy systems dominated by inverter based variable generation;Holttinen;IEEE Trans. Power Syst.,2020

4. Dynamic grid stability in low carbon power systems with minimum inertia;Ahmed;Renew. Energy,2023

5. Stochastic unit commitment to determine frequency response ramp rate including wind turbines with synthetic inertia and virtual synchronous generator;Zare;Int. J. Electr. Power Energy Syst.,2023

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1. Trade-off between frequency stability and renewable generation – Studying virtual inertia from solar PV and operating stability constraints;Renewable Energy;2024-10

2. Aggregator control of battery energy storage in wind power stations to maximize availability of regulation service;Energy Conversion and Management: X;2024-10

3. RoCoF Mitigation in the Italian Transmission Network: a Methodology for Inertia Optimization;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

4. Performance Evaluation of Thailand’s 8 MW Wind Farm Feeder Trip, Energy Generation, and Loss Using 5 MWh BESS—A Statistical and Economic Approach;IEEE Access;2024

5. An Inertia Reserve Capacity Planning Method for Power Systems Considering Risk Preference;IEEE Access;2024