【Applied Energy最新原创论文】评估水能-风能-太阳能互补性的新指标

学术   2024-09-25 18:31   美国  

原文信息

A novel metric for evaluating hydro-wind-solar energy complementarity

原文链接:

https://www.sciencedirect.com/science/article/pii/S0306261924013096

Highlights

(1) 分析了现有互补性指标在评估互补性时遇到的挑战

(2) 提出了一种评价对象维度自适应互补性评价新指标

(3) 研究了中国金沙江下游水光风光一体化能源基地的互补性

Research gap

一种新的水风光互补性评价指标,解决了目前诸如皮尔逊,肯达尔,斯皮尔曼等其它改进指标存在的仅能评估两个发电系统之间的互补性,无法同时捕捉时间序列整体变化趋势和相邻时间波动方向的双重负相关性,无法纳入波动幅度影响等局限性,为水风光电源发能力互补性评估, 是否耦合调度判断等方面提供更为可靠的评价指数

摘要

准确评估互补性是水-风-光混合能源系统规划和调度的基础性工作。然而,现有的互补性评价指标,如Pearson系数、Kendall系数、Spearman系数或其他改进指标,都存在只适用于二维对象、不能同时捕捉整个评估时段的波动趋势相关性和相邻时段的爬坡负相关性、忽略波动幅度的影响等局限性。为了解决这些问题,我们提出了一种基于藤蔓结构和秩相关分析的互补性评价指标。藤蔓结构可纳入多维评估对象,秩相关分析既考虑了整个评价时段的波动趋势相关性,也考虑了相邻时段的斜坡相关性。同时,折减因子的引入使波动幅度的影响也被纳入评价体系。基于多个典型场景的比较验证了所提出的指标能够更准确地反映数据序列之间的互补性。随后,以中国某国家级水风光互补能源基地为例,结果表明 (1)水风光在不同时间尺度上表现出不同的互补性,月尺度上的互补性明显优于年、日和小时尺度上的互补性;(2)根据所提出的指标,结合多个时间尺度确定风-光装机容量的最优比例。

Abstract

Accurately assessing complementarity is a foundational work to the hydro-wind-solar hybrid energy system planning and dispatching. However, the existing complementary assessment indexes such as Pearson, Kendall, Spearman coefficient, or other improved indexes, suffer from limitations such as being applicable only to two-dimensional objects, failing to simultaneously capture the fluctuating trend correlations thought the whole evaluation periods and the ramp correlations in the adjacent time periods, and ignoring the impact of the fluctuation amplitudes. To address these issues, we propose a novel complementary assessment metric based on vine structure and rank correlation analysis. Vine structure enables the inclusion of multidimensional assessment object and rank correlation analysis takes into account both the fluctuating trend correlations thought the whole evaluation periods and the ramp correlations in the adjacent time periods. Meanwhile, the introduction of the discount factor allows fluctuation amplitudes impact to be included in the evaluation system. Comparisons based on several typical scenarios verify that the proposed metric can reflect the complementarity between data series more accurately. Subsequently, taking a national-level hydro-wind-solar hybrid energy base in China as the case study, result shows: (1) hydro-wind-solar shows different complementarity at different time scales and significantly better on monthly scales than on annually, daily and hourly time scales; (2) the optimal ratio of wind-solar installed capacity is determined by combining multiple time scales based on the proposed metric. 

Keywords

Resource complementarity

Hybrid power systems

Power volatility

Complementary metric

Renewable energy

Graphics

Fig. 2. Vine structure of the proposed metric.

Fig. 10. Multi-timescale synthesis hydro-wind-solar complementarity results under different solar installed capacity ratios.

作者简介

团队介绍:

本研究由大连理工大学水电与水信息研究所和中国长江电力股份有限公司的研究人员共同完成。

关于Applied Energy

本期小编:何意;审核人:张俊涛

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