晏鸣宇

个人信息Personal Information

研究员(自然科学)   博士生导师   硕士生导师  

性别:男

在职信息:在职

所在单位:电气与电子工程学院

学历:研究生(博士)毕业

学位:工学博士学位

毕业院校:伊利诺伊理工大学

学科:电力系统及其自动化

论文成果

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Security constrained co-planning of transmission expansion and energy storage

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论文类型:期刊论文

第一作者:Wei Gan

通讯作者:Xiaomeng Ai

合写作者:Jiakun Fang,Mingyu Yan,Wei Yao,Wenping Zuo,Jinyu Wen

发表刊物:Applied energy

收录刊物:SCI

刊物所在地:英国

学科门类:工学

一级学科:电气工程

文献类型:J

卷号:239

页面范围:383-394

ISSN号:1040-6190

关键字:Energy storage; Security-constrained coordinated planning; Power system optimization; Benders decomposition

DOI码:10.1016/j.apenergy.2019.01.192

发表时间:2019-04-01

影响因子:11.446

摘要:This paper presents a security-constrained co-planning of transmission line expansion and energy storage with high penetration of wind power. The energy storage can not only improve the accommodation of renewable generation but also help to mitigate the emergency overflow under the post-contingency state. Also, the adjustment capabilities of the wind farms are considered, and the risk of excessive wind curtailment under the post-contingency state is assessed quantitatively. The coordinated multistage corrective control strategy for the battery storage, the pumped storage, thermal generators, and wind farms is studied. The mixed-integer linear programming problem based on the proposed corrective control strategy has been formulated. The Benders decomposition algorithm is introduced to divide the co-planning problem into one master problem and two sub-problems. In the master problem, the system is operating under normal conditions, so the security constraints are not considered. It minimizes the sum of the investment cost of newly built facilities and the operational cost. In the sub-problems, the corrective control during different post-contingency stages is formulated, minimizing the risk costs under fault conditions. The two-step technique is developed to generate the Benders cuts from the mixed-integer linear programming sub-problems, and return to the master problem. The real-world power system in Gansu, China is studied to validate the applicability and scalability of the proposed model and solution technique. The results denote that the co-planning model with security constraints is profitable in the real power system, with savings of 25% for the newly built transmission lines and a 5.5% reduction in total cost.

发布期刊链接:https://www.sciencedirect.com/science/article/pii/S0306261919301953