A Noniterative Method to Estimate Load Carrying Capability of Generating Units in a Renewable Energy Rich Power Grid
A Noniterative Method to Estimate Load Carrying Capability of Generating Units in a Renewable Energy Rich Power Grid
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DOI：
10.1109/tste.2014.2307855
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发表时间：
2014-07-01
影响因子：
8.8
通讯作者：
Sutanto, Danny
中科院分区：
文献类型：
--
作者：
Abdullah, Md A.;Muttaqi, Kashem M.;Sutanto, Danny
考虑到需求和可再生能源发电的相关性和不确定性，在发电规划中评估系统发电充足性时，估计可再生能源发电机组的贡献是很重要的。有效承载能力（ELCC）通常用于此目的。提出了一种估算常规发电机组和可再生发电机组峰值负荷能力（PLCC）和峰值负荷能力（ELCC）的非迭代分析方法。利用IEEE RTS和澳大利亚新南威尔士州的电网对所提出的方法进行了验证，并将结果与其他估计方法进行了比较。结果表明，需求与可再生能源发电量之间的相关性影响可再生能源发电机组的ELCC，相关性越高，ELCC越高，反之亦然。本文的主要贡献是发展了一种分析的、非迭代的、计算效率高的技术，它解释了需求和可用可再生能源发电之间的相关性。
It is important to estimate the contribution of renewable generation units in the evaluation of system generation adequacy for power generation planning taking into account the demand and renewable generation correlation and uncertainty. The effective load carrying capability (ELCC) is usually used for this purpose. In this paper, a noniterative analytical method is proposed for estimating the peak load carrying capability (PLCC) and ELCC of conventional and renewable generation units. The proposed method is verified using the IEEE RTS and an electricity network in New South Wales, Australia, and the results are compared with other estimation methods. The results show that the correlation between demand and renewable generation influences the ELCC of a renewable generation unit-the higher the correlation, the higher the ELCC, and vice versa. The main contribution of this paper is the development of an analytical noniterative and computationally efficient technique, which accounts for the correlation between demand and available renewable generation.