抽水蓄能在产能扩张规划中的价值评估——一个南非的案例研究

Caroline van Dongen, B. Bekker
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引用次数: 2

摘要

根据南非综合资源计划,将需要更灵活的发电来整合增加的可变可再生能源发电,这将由燃气轮机和电池提供。需要做更多的研究来验证可再生能源、天然气/柴油和电池组合是否能提供南非目前从基本负荷站获得的能源安全。可能需要补充无功功率和额外的惯性,以确保系统的稳定性,并增加高比例的非同步光伏和风力发电机。抽水蓄能可以缓解这一问题,因为它是另一种灵活的发电形式,具有快速增加的容量、储存的能量和系统惯性,可以为电网提供安全性和稳定性。本文探讨了抽水蓄能(PS)未被纳入未来规划的原因,并强调了当前长期能源规划模型中抽水蓄能建模的潜在问题。本文调查了南非电网上PS的服务和贡献,并提出了将辅助服务成本纳入建模方法的建议。本文通过对抽水蓄能、燃气轮机和电池的平准化成本曲线的敏感性分析,进一步强调了技术成本的不确定性及其影响。正确评估抽水蓄能和该技术提供的辅助服务对于在长期能源规划模型中准确建模该技术至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Valuation of pumped storage in capacity expansion planning – a South African case study
According to the South African Integrated Resource Plan more flexible generation will be required to integrate the increased variable renewable energy generation and this will be provided by gas turbines and batteries. More studies need to be done to verify whether a renewables, gas/diesel and battery mix will provide the energy security South Africa currently obtains from base load stations. Supplementary reactive power and additional inertia may be needed to ensure system stability with the addition of high proportions of non-synchronous PV and wind generators. Pumped Storage can alleviate this issue as it is another form of flexible generation with fast ramping capacity, stored energy, and system inertia to provide security and stability to the grid. This paper investigates why Pumped Storage (PS) was not included in the future plan, and highlights potential issues with the modelling of PS in the current long-term energy planning model. The paper investigates the services and contributions of PS on the South African grid and makes recommendations for ancillary services costs to be included in the modeling methodology. The paper further highlights the uncertainty in technology costings and the impact thereof through sensitivity analyses using levelized cost of energy curves for pumped storage, gas turbines and batteries. Correctly valuing pumped storage and the ancillary services the technology provides is vital to accurately modelling the technology in long term energy planning models.
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