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城市综合能源系统协同调控与互动交易研究综述

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城市是工业、服务业的聚集地,是经济增长的主引擎,未来城市综合能源系统的发展目标将不仅仅局限于满足社会能源需求,还需要将视角提升到支撑城市全局发展层面.因此,城市综合能源系统协同调控与互动交易相关研究不仅是近年来研究的热点问题,也是促进人类和城市可持续发展的必要解决问题.该文首先分析了相关研究的发展趋势和发文热度.然后在模型层面,分别讨论了城市综合能源系统的基本协同调控模型以及满足零碳需求、韧性提升需求、互动交易场景下的协同调控模型;在决策框架和算法层面,就目前常用的双层优化、鲁棒优化、人工智能优化方法分别进行概括分析;对城市综合能源系统仿真软件的特点进行了归纳总结.最后,对城市综合能源系统中多能源协同运行灵活性潜力挖掘、全设备模型建模方法与信息交换技术、多元用户互动特性分析、信息-物理-社会深度融合的需求和挑战进行了展望.
Review of Collaborative Regulation and Interactive Trading of Urban Integrated Energy System
Cities are the hub of industry and service industry, serving as the main engine of economic growth. The de-velopment goal of the future urban integrated energy system should not only be confined to meeting the energy demands of society but also support the overall development of the city. Therefore, collaborative regulation and interactive trading of urban integrated energy systems is not only a current hot topic but also a necessary solution to promote sustainable de-velopment for both humans and cities. First,we present an analysis of the current trends and popularity of research related to urban integrated energy systems. Additionally, at the model level, we discuss the basic co-regulation model of urban integrated energy systems and the co-regulation model to meet zero-carbon demands, resilience enhancement demands, and interactive trading scenarios, respectively. At the decision framework and algorithm level, we summarize and analyze the commonly used two-layer optimization, robust optimization, and artificial intelligence optimization methods. The characteristics of the commonly used simulation software for urban integrated energy system are also summarized. Finally, we put forward the prospects in the needs and challenges of multi-energy complementary potential mining, all-equipment modeling method and information exchange technology, multi-user interaction analysis, and information-physical-social deep integration in urban integrated energy systems.

urban integrated energy systemcollaborative regulationinteractive tradingmodelingdecision frameworksolution method

马恒瑞、王波、王蔚、董旭柱、刘书福、丁书伟

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交直流智能配电网湖北省工程中心,武汉430072

武汉大学电气与自动化学院,武汉430072

新能源电力系统智慧运行教育部重点实验室(青海大学能源与电气工程学院),西宁810016

城市综合能源系统 协同调控 互动交易 模型 决策框架 求解方法

国家重点研发计划

2021YFB2401300

2024

高电压技术
中国电力科学研究院 中国电机工程学会

高电压技术

CSTPCD北大核心
影响因子:2.32
ISSN:1003-6520
年,卷(期):2024.50(4)
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