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.

中文翻译：

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具有可再生能源的多区域电力和天然气综合系统的分散隐私保护操作

随着天然气联合循环装置的激增，现代能源基础设施已发展成为电力和天然气的耦合系统，该系统通常包含多个大规模且地理位置分散的能源区域。耦合系统中电力和天然气消耗曲线的相似性为协调优化电力和天然气运营提出了关键要求。本文提出了一种分散式优化框架，该框架在集成多区域电力和天然气传输系统（IEGTS）的运行中考虑了风能和燃气发电（P2G）技术。第一，以集中方式建立了针对多区域IEGTS的综合最优调度模型，其中考虑了风能的随机性，优化了多区域间电力和天然气的双向流动。特别是，提出了在温和假设下的线性化瞬态气体流量模型，以表示天然气行业的动态特征。集中式优化问题被分解为一组在单个区域中独立解决的可计算处理的子问题。交替方向乘数法用于实现快速收敛的解决方案，同时保留参与区域之间共享的操作数据的私密性。最后，