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论文类型：期刊论文

论文编号：19709906

第一作者：Feng Qi

通讯作者：Mohammad Shahidehpour

合写作者：Fushuan Wen,Zhiyi Li,Yubin He,Mingyu Yan

发表刊物：IEEE Transactions on Sustainable Energy

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：11

期号：3

页面范围：1785-1796

ISSN号：1949-3029

关键字：Multi-area coordination of integrated electricity and natural gas transmission system, wind energy, gas flow dynamics, alternating direction multiplier method.

DOI码：10.1109/TSTE.2019.2940624

发表时间：2020-07-01

影响因子：8.31

摘要：With the proliferation of natural gas combined cycle units, the modern energy infrastructure has evolved into a coupled electricity and natural gas system, which often encompasses multiple large-scale and geographically-diverse energy areas. The similarity in electricity and natural gas consumption profiles in coupled systems gives rise to critical mandates for the coordinated optimization of electricity and natural gas operation. This paper presents a decentralized optimization framework, which considers wind energy and power-to-gas (P2G) technologies in the operation of integrated multi-area electricity and natural gas transmission system (IEGTS). First, a comprehensive optimal dispatch model is established for the multi-area IEGTS in a centralized manner where bi-directional flows of electricity and natural gas among multi-areas are optimized considering the stochastic nature of wind energy. In particular, a linearized transient-state gas flow model under mild assumptions is proposed to represent the dynamic characteristics of the natural gas sector. The centralized optimization problem is decomposed into a set of computationally-tractable subproblems that are solved independently in individual areas. The alternating direction multiplier method is employed to achieve a rapidly convergent solution while preserving the privacy of operation data shared among participating areas. Finally, case studies are carried out on two multi-area IEGTS with multiple wind generation scenarios which demonstrate the computational performance of the proposed method with P2G facilities operating in variable conditions.

发布期刊链接：https://ieeexplore.ieee.org/abstract/document/8828087