A Novel Generation Rescheduling Algorithm to Improve Power System Reliability With High Renewable Energy Penetration

被引：54

作者：

Fan, Miao ^{[1
]}

Sun, Kai ^{[2
]}

Lane, Derek ^{[1
]}

Gu, Wei ^{[3
]}

Li, Zhengshuo ^{[4
]}

Zhang, Fang ^{[5
]}

机构：

[1] Siemens Ind Inc, Schenectady, NY 12305 USA

[2] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA

[3] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China

[4] Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen 518055, Peoples R China

[5] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2018年 / 33卷 / 03期

关键词：

Generation rescheduling algorithm; renewable energy; uncertainty; variance; overload probability; power system reliability; PROBABILISTIC LOAD-FLOW; POINT ESTIMATE METHOD; CORRECTIVE CONTROL; SENSITIVITY; STABILITY; CUMULANTS; DISPATCH; WIND;

D O I：

10.1109/TPWRS.2018.2810642

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The uncertainties of renewable energy may bring impacts to power system reliability. This paper proposes a novel generation rescheduling algorithm, which adjusts generation outputs to mitigate the variations of branch power flows and relieve the overload probability. This algorithm helps prevent power congestion and balance the aggregate renewable generations and loads in power systems. Besides, the paper also proposes a probabilistic method evaluating the system uncertainty issue in the power system considering generation rescheduling operation. The proposed generation rescheduling algorithm has been tested on the Arizona transmission system. The generation rescheduling method enhances power system reliability analysis with a high penetration of renewable energy resources.

引用

页码：3349 / 3357

页数：9

共 36 条

[1] EVALUATION METHODS AND ACCURACY IN PROBABILISTIC LOAD FLOW SOLUTIONS [J].