电力系统灵活性评估方法综述

D. Mouton, Ndamulelo Mararakanye, B. Bekker
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摘要

在发电组合中加入可变可再生能源(VRE)电厂意味着电力系统具有更高的波动性、不确定性和可变性。因此,越来越需要电力系统的灵活性来应对这种涌入。发电扩建规划需要制定一个最优的长期扩建计划,以建设满足经济和技术限制的新一代发电厂。在纳米比亚的长期扩张计划中,与VRE整合相关的担忧是显而易见的。纳米比亚的发电扩展计划使用了两种传统的充足性规划技术,即负荷损失概率(LOLP)和预期未供应能源(EUE),这两种技术用于已经提供灵活性的传统发电厂。LOLP和EUE的问题在于,需求无法得到满足的唯一条件是需求超过可用容量。仅使用这些指标进行发电扩展规划可能是不够的。因此,需要一种能够评估纳米比亚电力系统管理高变异性的灵活性的灵活性评估方法。本文回顾了文献研究中不同的灵活性评估方法,并根据计算复杂度和数据需求对方法进行了分类。本文发现,每个层次的灵活性评估方法都有可能回答基本的灵活性问题。考虑到研究结果,重要的是进行所有三个层次的灵活性评估方法来优化灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Methods to Measure Power System Flexibility: A Review
The addition of variable renewable energy (VRE) plants into the generation portfolio means that the power system has higher volatility, uncertainty, and variability. Therefore, there is an increased need for power system flexibility to account for this influx. Generation expansion planning entails strategizing an optimal long-term expansion plan for building new generation plants that satisfies economic and technical constraints. Concerns associated with VRE integration are evident in the case of the Namibian long-term expansion plan. The Namibian generation expansion plan makes use of two traditional adequacy planning techniques, namely loss of load probability (LOLP) and expected unsupplied energy (EUE), which are used for traditional generation plants where flexibility is already provided for. The problem with LOLP and EUE is that the only condition under which demand will not be met is when the demand exceeds the available capacity. The sole use of these metrics for generation expansion planning may be inadequate. Therefore, there is a need for flexibility assessment methods that can assess the flexibility of the Namibian power system to manage high variability. This paper reviews the different flexibility assessment methods available in literature studies and categorises the methods according to levels of computational complexity and data requirements. This paper finds that each level of flexibility assessment methods makes it possible to answer fundamental flexibility questions. Considering the findings, it is important to conduct all three levels of flexibility assessment methods to optimize flexibility.
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