Operational risk assessment on power system based on weather regionalization considering power ramp of renewable energy generation

被引:3
作者
Qiu, Weiqiang [1 ]
Huang, Yixin [2 ]
Zhai, Xingli [3 ]
Ma, Jien [1 ]
Zhang, Tianhan [1 ]
Liu, Shengyuan [1 ]
Lin, Zhenzhi [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
[2] Xiamen Power Supply Co, State Grid Fujian Elect Power Co Ltd, Xiamen 361004, Peoples R China
[3] Jinan Power Supply Co, State Grid Shandong Elect Power Co Ltd, Jinan 250012, Peoples R China
基金
中国国家自然科学基金;
关键词
Power ramp of renewable energy generation; Operational risk assessment; Weather regionalization; Cumulative prospect theory; High proportion of renewable energy; UNCERTAINTY; MODEL;
D O I
10.1016/j.egyr.2023.04.070
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the ever-increased installed capacity of renewable energy generation (REG) units, the power ramp of REG has become a common event, introducing an operational risk to the power system. In order to quantify the operational risk, this paper proposes a novel method for assessing the operational risk of power systems with a high proportion of renewable energy, taking into account the power ramp of REG. Firstly, a weather regionalization is proposed to divide the region of the power system into multiple areas, and then the weather data from the weather stations in these areas will be utilized to forecast the power of REG probabilistically. Moreover, an operational risk assessment model based on the cumulative prospect theory is built to reflect the irrational psychological factors of dispatchers, and two typical indices are introduced to show the operational risk of renewable energy curtailment and load curtailment caused by the power ramp of REG. Finally, numerical simulations are conducted in the actual CEPRI-RE power system in the northwest region of China, and the actual weather data from the meteorological agencies is used. The results show that the proposed method is able to assess the operational risk of the power system with a high proportion of renewable energy effectively, and achieve the early warning 30 min in advance. Besides, it can be found that the power system at the turning point between the power ramp and normal operation has a higher operational risk. (c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under theCCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:396 / 408
页数:13
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