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论文类型：期刊论文

论文编号：17857536

第一作者：Yubin He

通讯作者：Mohammad Shahidehpour

合写作者：Mingyu Yan,Zhiyi Li,Chuangxin Guo,Lei Wu,Yi Ding

发表刊物：IEEE Transactions on Power Systems

收录刊物：SCI

刊物所在地：美国

学科门类：工学

一级学科：电气工程

文献类型：J

卷号：33

期号：4

页面范围：4531-4542

ISSN号：0885-8950

关键字：Multi-area electricity-natural gas system, optimal energy flow, second-order cone programming, decentralized model, iterative ADMM.

DOI码：10.1109/TPWRS.2017.2788052

发表时间：2018-07-01

影响因子：7.326

摘要：A large-scale integrated energy system can represent several subsystems representing areas that are tied by electricity and natural gas networks. Accordingly, we propose a decentralized optimal energy flow (DOEF) calculation as compared with a centralized solution method. The proposed approach demonstrates the merits of the decentralized operation and control of a multi-area integrated electricity-natural gas system (IEGS), in terms of large-scale modeling requirements, faster computations, and data management for local sensitivity analyses. Using the proposed decentralized structure, the communication burden is relatively light as individual area operators in a multi-area IEGS will make optimal dispatch decisions independently and the corresponding information is shared with adjacent subsystems. The reformulation of the second-order cone (SOC) is proposed using advanced sequential cone programming (SCP) to handle the nonlinear steady-state natural gas flow, which provides a feasible solution with a high degree of computational efficiency. Furthermore, an iterative alternating direction method of multipliers (I-ADMM) is adopted to manage the nonconvexity of integer variables, which guarantees a satisfactory convergence performance. Case studies on three multi-area IEGS validate the effectiveness of the proposed model in a multi-area IEGS.

发布期刊链接：https://ieeexplore.ieee.org/abstract/document/8241852