Virtual Inertia Planning for Enhancing Grid Stability in Low-Inertia Systems

IF 1.7 Q4 ENERGY & FUELS
S. Saha, M. I. Saleem, T. K. Roy, Amanullah M. T. Oo
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Abstract

The global power grid is undergoing a significant transition with the increasing integration of renewable energy sources (RESs). This shift, characterised by a decline in conventional synchronous generators and a rise in inverter-based RESs, has resulted in reduced grid inertia, posing substantial challenges to frequency stability. To address these challenges, this paper proposes a reliability-aware optimisation framework for virtual inertia planning in grids with high RES penetration. The framework accounts for stochastic variations in load demand and renewable generation and optimises the required virtual inertia to ensure frequency stability during a contingency involving the largest generating unit. A reliability-driven methodology is integrated to determine the necessary virtual inertia constants and energy reserves in battery energy storage systems (BESSs) on an hourly basis, ensuring that the frequency nadir and RoCoF constraints are met under varying system conditions. The case study illustrated how the proposed approach determines BESS virtual inertia support requirements on an hourly basis, adapting to fluctuations in available system inertia and RES output. For instance, at 12:00 corresponding to peak solar generation, the required BESS inertia constant and energy reserve were determined to be 1.65 s and 2.56 MWh for 50% reliability increasing to 3.57 s and 5.27 MWh for 90% reliability. The total BESS capacity required was 76.3 MWh for 90% reliability compared to 46.25 MWh and 57.78 MWh for 50% and 70% reliability, respectively. These results underscore the significance of reliability aware inertia planning as higher reliability levels necessitate greater inertial support to mitigate the impact of contingencies involving the largest generating unit. Notably, during peak solar hours (e.g., 11:00, 13:00 and 15:00), the percentage of frequency constraint violations is reduced from nearly 100% to 4.38%, 9.86% and 7.12%, respectively, when virtual inertia support from BESS is applied at 90% reliability. An economic evaluation was carried out to assess BESS performance under different reliability targets. The results show that although annual benefits remain positive, the benefit–cost ratio declines from 1.12 at 50% to 1.06 at 90% and the NPV decreases from 2.06 M AUD to 1.50 M AUD. This indicates that higher reliability improves frequency stability but requires greater BESS investment, leading to diminishing economic returns. In this context, the proposed framework offers grid operators a decision-making tool to set reliability targets consistent with grid codes, contingency standards and investment capacity.

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提高低惯量系统电网稳定性的虚拟惯量规划
随着可再生能源的日益并网,全球电网正在经历一场重大变革。这种转变的特点是传统同步发电机的减少和基于逆变器的RESs的增加,导致电网惯性减少,对频率稳定性提出了重大挑战。为了解决这些挑战,本文提出了一种高RES渗透电网中虚拟惯性规划的可靠性感知优化框架。该框架考虑了负载需求和可再生能源发电的随机变化,并优化了所需的虚拟惯性,以确保在涉及最大发电机组的突发事件期间频率稳定。集成了一种可靠性驱动的方法,以确定电池储能系统(BESSs)每小时所需的虚拟惯性常数和能量储备,确保在不同的系统条件下满足频率最低点和RoCoF约束。案例研究说明了拟议的方法如何根据可用系统惯性和RES输出的波动,以小时为基础确定BESS虚拟惯性支持需求。例如,在太阳能发电峰值对应的12:00,确定50%可靠性所需的BESS惯性常数和能量储备分别为1.65 s和2.56 MWh,增加到90%可靠性所需的3.57 s和5.27 MWh。实现90%可靠性所需的电池储能系统总容量为76.3兆瓦时,而实现50%和70%可靠性所需的电池储能系统总容量分别为46.25兆瓦时和57.78兆瓦时。这些结果强调了可靠性感知惯性规划的重要性,因为更高的可靠性水平需要更大的惯性支持,以减轻涉及最大发电机组的突发事件的影响。值得注意的是,在太阳能高峰时段(例如11:00、13:00和15:00),当BESS的虚拟惯性支持以90%的可靠性应用时,频率约束违规百分比分别从接近100%降低到4.38%、9.86%和7.12%。对不同可靠性目标下的BESS性能进行了经济性评价。结果表明,尽管年度效益仍然为正,但效益成本比从50%时的1.12下降到90%时的1.06,净现值从2.06万澳元下降到1.50万澳元。这表明更高的可靠性提高了频率稳定性,但需要更大的BESS投资,导致经济回报递减。在这种情况下,拟议的框架为电网运营商提供了一个决策工具,以设定与电网规范、应急标准和投资能力相一致的可靠性目标。
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来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
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