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Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review

机译:低碳电力系统灵活性提供储能扩展规划的挑战与趋势 - 评论

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摘要

Expansion planning models are often used to support investment decisions in the power sector. Towards the massive insertion of renewable energy sources, expansion planning of energy storage systems (SEP - Storage Expansion Planning) is becoming more popular. However, to date, there is no clear overview of the available SEP models in the literature. To shed light on the existing approaches, this review paper presents a broad classification of SEP, which is used to analyze a database of about 90 publications to identify trends and challenges. The trends we found are that while SEP was born more than four decades ago, only in the last five years increasing research efforts were put into the topic. The planning has evolved from adequacy criteria to broader targets, such as direct costs, mitigation of CO2 emissions, and renewable integration. The modeling of the network, power system, energy storage systems (ESS), and time resolution are becoming more detailed. Uncertainty is often considered and the solution methods are still very diverse. As outstanding challenges, we found that (1) the large diversity of ESS, in contrast to conventional generation technologies, and (2) the complex lifetime and efficiency functions need to be addressed in the models. (3) Only a high temporal and spatial resolution will allow for dimensioning the challenge of integrating renewables and the role of ESS. (4) Although the value of ESS lies beyond shifting energy in time, current SEP is mostly blind to other system services. (5) Today, many flexibility options are available, but they are often assessed separately. In the same line, although cross-sectorial (power, heat, transport, water) SEP is becoming more frequent, there are many open tasks towards an integrated coordination. The planning of future energy systems will be multi-sectorial and multi-objective, consider the multi-services of ESS, and will inherently require interdisciplinary efforts.
机译:扩展规划模型通常用于支持电力部门的投资决策。朝着可再生能源大规模插入,储能系统的扩展规划(SEP - 存储扩展规划)变得越来越受欢迎。但是,迄今为止,没有明确概述文献中可用的SEP模型。为了阐明现有的方法,这篇论文介绍了SEP的广泛分类,用于分析约90个出版物的数据库,以确定趋势和挑战。我们发现的趋势是,虽然SEP诞生了四十多年前,但只有在过去五年中,越来越多的研究努力被投入了这个话题。规划已经从充足的标准发展到更广泛的目标,例如直接成本,减轻二氧化碳排放和可再生整合。网络,电力系统,能量存储系统(ESS)和时间分辨率的建模变得更加详细。经常考虑不确定性,解决方案方法仍然非常多样化。作为出色的挑战,我们发现(1)与常规一代技术相比,ESS的大量多样性,(2)需要在模型中解决复杂的寿命和效率功能。 (3)只有高时和空间分辨率将允许尺寸确定集成可再生能源和ESS的作用的挑战。 (4)虽然ESS的价值随着时间的推移而言,但目前的SEP主要是对其他系统服务无视。 (5)如今,可提供许多灵活性选项,但它们通常单独评估。在同一条线上,虽然跨部门(电力,热,运输,水)SEP变得更加频繁,但有许多开放的任务朝着综合协调。未来能源系统的规划将是多重的和多目标,考虑ESS的多服务,并且本身将需要跨学科的努力。

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