点击次数：

论文类型：期刊论文

第一作者：Wei Gan

通讯作者：Wei Yao

合写作者：Mingyu Yan,Jianbo Guo,Xiaomeng Ai,Jiakun Fang,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：298

页面范围：117280

关键字：Integrated energy systems；Robust optimization；Decentralized optimization；Wind power；Column constraints generation；Alternating direction multiplier method

DOI码：10.1016/j.apenergy.2021.117280

发表时间：2021-09-01

影响因子：11.446

摘要：Large-scale integrated energy systems often encompass several subsystems divided by geographic areas. Coordinated operation of multi-area integrated energy systems can enhance operational flexibility, which is crucial for systems with high wind power penetration. Traditional centralized methods have some inherent defects, such as privacy protection, communication burden, and computational capability, etc. To address such challenges, this paper proposes a decentralized computation method for the robust operation of multi-area joint regional-district integrated energy systems with uncertain wind power. The interconnected multiple areas can cooperate for improved system flexibility and wind power integration capability. Using the decentralized method, the area operator optimizes its operation decisions independently without transferring its dispatch rights. The shared information is limited to exchanged energy flows. The proprietary information is thus preserved while the communication burden is significantly reduced. To solve the robust operation problem distributedly, the decentralized method is enhanced to cope with both deterministic and robust problems. A tri-level algorithm composed of the iterative alternating direction multiplier method and the column constraints generation method is utilized to realize the decentralized optimization. Numerical results for three test systems show the effectiveness, computational quality, and scalability of the proposed method. Compared to the isolated method, the proposed method fully utilizes the coordination effect of multi-area RD-IES and has obvious economic advantages, especially in scenarios with high wind power penetration levels. The proposed method brings a 12.4% cost reduction in the two-area system and a 22.4% cost reduction in the eight-area system.