The increasing concerns with adverse environmental issues have led to the proliferation of renewable energy resources (RESs), which have been expanded more recently to multi-energy systems (MESs) in various parts of the world. MES can improve energy efficiency and reduce carbon emission by co-optimizing multiple forms of energy, including electricity, natural gas, heating, cooling, etc., which provide a promising approach to carbon neutrality. Energy hub (EH) is an efficient framework for MES modeling and management, where various energy carriers are optimally converted, utilized, and stored for satisfying certain sociopolitical and socioeconomic mandates. This paper presents a comprehensive review of available EH optimization and control studies. First, we introduce basic concepts and EH modeling methods. Then, we conduct a systematic review of optimization methods, as well as state-of-the-art solution algorithms for EH planning, operation, and trading. Furthermore, we analyze an internet of things (IoT) based EH control structure and review the corresponding state estimation, communication, and control methods for managing large EH data sets. Finally, we present and discuss several research topics for future research.

中文翻译：

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能源中心规划、运营、交易和控制的优化方法回顾

对不利环境问题的日益关注导致可再生能源（RES）的扩散，最近已扩展到世界各地的多能源系统（MES）。MES 可以通过协同优化多种能源形式（包括电力、天然气、供暖、制冷等）来提高能源效率并减少碳排放，这为实现碳中和提供了一种有前景的方法。能源中心 (EH) 是 MES 建模和管理的有效框架，其中各种能源载体被最佳转换、利用和存储，以满足某些社会政治和社会经济要求。本文全面回顾了现有的 EH 优化和控制研究。首先，我们介绍基本概念和 EH 建模方法。然后，我们对优化方法以及用于 EH 计划、运营和交易的最先进的解决方案算法进行系统审查。此外，我们分析了基于物联网 (IoT) 的 EH 控制结构，并回顾了用于管理大型 EH 数据集的相应状态估计、通信和控制方法。最后，我们提出并讨论了未来研究的几个研究课题。