在分布式发电扩容中实施负荷侧运行能量储备改善系统频率控制

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2025-02-25 DOI:10.1049/stg2.70006
Dumisani Mtolo, Rudiren Sarma, David G. Dorrell
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引用次数: 0

摘要

南非国家电力公司Eskom正在从集中式大规模燃煤发电转型为更分散、基于逆变器的小规模可再生能源发电,以减少温室气体排放。这种转变带来了运营挑战,特别是在维持电力系统频率稳定性方面,这依赖于实时供需平衡。传统上,频率稳定性依赖于准确的负荷预测、足够的发电能力和大型发电机的能量储备来处理干扰。然而,随着大型发电机数量的减少,能源储备也会减少,这可能会影响频率的稳定性。本文介绍了集成小型分布式发电机的概念,以加强一次和二次频率的控制。通过主动监控和管理这些基于逆变器的发电机,同时考虑相位平衡和网络拥塞,该系统旨在提高电网稳定性,最大限度地减少对大型发电机的依赖,并减轻在无管理的基于逆变器的网络中二次频率下降的风险(即高频率变化率(RoCoF)可能导致逆变器跳闸)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Implementing Load-Side Operating Energy Reserves to Improve System Frequency Control Amid the Expansion of Distributed Generation

Implementing Load-Side Operating Energy Reserves to Improve System Frequency Control Amid the Expansion of Distributed Generation

Eskom, South Africa's national power utility, is transitioning from centralised, large-scale electricity coal generation to a more distributed, small-scale inverter-based renewable generation to reduce greenhouse gas emissions. This shift poses operational challenges, particularly in maintaining power system frequency stability, which relies on real-time balancing of supply and demand. Traditionally, frequency stability has depended on accurate load forecasts, sufficient generation capacity, and energy reserves from large generators to handle disturbances. However, as the number of large generators decreases, energy reserves will also reduce, potentially compromising frequency stability. This paper introduces the concept of integrating small-scale distributed generators to enhance both primary and secondary frequency control. By actively monitoring and managing these inverter-based generators, while accounting for phase balancing and network congestion, the proposed system seeks to improve grid stability, minimise reliance on large generators, and mitigate the risk of secondary frequency drops within an unmanaged inverter-based network (i.e. the high rate of change of frequency (RoCoF) may lead to inverter trips).

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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
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