高逆变器资源电力系统中的频率控制技术综述:挑战和缓解措施

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Smart Grid Pub Date : 2023-06-18 DOI:10.1049/stg2.12117
Dlzar Al Kez, Aoife M. Foley, Faraedoon Ahmed, D. John Morrow
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引用次数: 0

摘要

电力系统正迅速向越来越多的电力来自基于逆变器的资源(IBR)(如风能和太阳能)转变。电力系统向100%IBR过渡的一个不可避免的后果是同步发电机及其相关惯性、频率和电压控制机制的损失。为了确保能够满足未来的电网需求,满足这些需求的系统服务来源必须从同步发电厂转变为IBR。在此背景下,主要目标是从系统运营商的角度,广泛审查与IBR大规模集成有关的电网频率稳定性挑战。随后,从不同角度比较了不同可再生能源主导电力系统中新建立的国际快速频率响应服务,以应对低惯性挑战。最后,从可再生能源在能源系统中发挥积极作用并提供广泛的系统频率服务的角度,研究了基于各种可再生能源使能技术和可再生能源的潜在解决方案。这项研究的发现提供了对未来频率控制解决方案的深入理解,并提供了一个可操作的数据集,在我们接近净零目标时,该数据集将支持各种研究和政策需求。
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Overview of frequency control techniques in power systems with high inverter-based resources: Challenges and mitigation measures

Power systems are rapidly transitioning towards having an increasing proportion of electricity from inverter-based resources (IBR) such as wind and solar. An inevitable consequence of a power system transition towards 100% IBR is the loss of synchronous generators with their associated inertia, frequency, and voltage control mechanisms. To ensure future grid needs can be met, the source of system services to meet these needs must change from synchronous plants to IBR. Under this context, the main objective is to extensively review grid frequency stability challenges concerning the massive integration of IBR from the perspective of system operators. Following that, the newly established international fast frequency response services in different renewable dominant power systems to address low inertia challenges are compared from various perspectives. Finally, potential solutions based on various renewable enabling technologies and renewable sources are investigated from the standpoint of their expectation to play an active role in the energy system and to provide a wide range of system frequency services. The findings of this study provide a deep understanding of prospective frequency control solutions and an actionable dataset that will support various research and policy needs as we approach net-zero targets.

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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
期刊最新文献
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