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Dynamic Setting Method of Assessment Indicators for Power Curves of Renewable Energy Sources Considering Scarcity of Reserve Resources
Journal of Modern Power Systems and Clean Energy ( IF 6.3 ) Pub Date : 2023-07-10 , DOI: 10.35833/mpce.2023.000117
Minghao Cao , Jilai Yu

With the increasing proportion of renewable energy sources (RESs) in power grid, the reserve resource (RR) scarcity for correcting power deviation of RESs has become a potential issue. Consequently, the power curve of RES needs to be more rigorously assessed. The RR scarcity varies during different time periods, so the values of assessment indicators should be dynamically adjusted. The assessment indicators in this paper include two aspects, i. e., deviation exemption ratio and penalty price. Firstly, this paper proposes a method for dynamically calculating the supply capacity and RR cost, primarily taking into account the operating status of thermal units, forecast information of RES, and load curve. Secondly, after clarifying the logical relationship between the degree of RR scarcity and the values of assessment indicators, this paper establishes a mapping function between them. Based on this mapping function, a dynamic setting method for assessment indicators is proposed. In the future, RES will generally be equipped with battery energy storage systems (BESSs). Reasonably utilizing BESSs to reduce the power deviation of RESs can increase the expected income of RESs. Therefore, this paper proposes a power curve optimization strategy for RESs considering self-owned BESSs. The case study demonstrates that the dynamic setting method of assessment indicators can increase the revenue of RESs while ensuring that the penalty fees paid by RESs to the grid are sufficient to cover the RR costs. Additionally, the power curve optimization strategy can help RESs further increase income and fully utilize BESSs to reduce power deviation.

中文翻译:

考虑储备资源稀缺性的可再生能源功率曲线评价指标动态设定方法

随着可再生能源(RES)在电网中的比例不断增加,用于纠正RES功率偏差的储备资源(RR)稀缺已成为一个潜在问题。因此,需要更严格地评估 RES 的功率曲线。不同时期RR稀缺性存在差异,因此评估指标的取值应动态调整。本文的考核指标包括偏差豁免率和处罚价格两个方面。首先,本文提出了一种动态计算供应能力和RR成本的方法,主要考虑火电机组的运行状态、RES的预测信息和负荷曲线。其次,在明确RR稀缺程度与评估指标取值之间的逻辑关系后,建立了两者之间的映射函数。基于该映射函数,提出了评估指标的动态设置方法。未来RES普遍会配备电池储能系统(BESS)。合理利用BESS来减少RES的功率偏差可以提高RES的预期收益。因此,本文提出一种考虑自有BESS的RES功率曲线优化策略。案例研究表明,考核指标的动态设定方法可以增加RES的收入,同时保证RES向电网支付的罚款费用足以覆盖RR成本。此外,功率曲线优化策略可以帮助RES进一步增加收入,并充分利用BESS减少功率偏差。
更新日期:2023-07-10
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