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储能系统技术 储能系统 ★ 5.0

考虑储能和需求响应的物联网智慧能源枢纽能量管理

Energy Management Considering Energy Storage and Demand Response for Smart Energy Hub in Internet of Things

作者 Jinyong Lei · Changcheng Zhou · Xiaolin Li · Andi Huang · Hao Bai · Zhiyong Yuan
期刊 IEEE Access
出版日期 2025年1月
技术分类 储能系统技术
技术标签 储能系统
相关度评分 ★★★★★ 5.0 / 5.0
关键词 能源优化管理 智能能源枢纽 用户 储能 Stackelberg博弈模型
语言:

中文摘要

本文提出能源系统中智慧能源枢纽SEH与用户间交互的能源优化管理方法。系统中还考虑物联网IoT和储能。首先构建SEH和用户模型,然后讨论储能影响下的利润模型。接下来应用Stackelberg博弈模型,其中SEH作为领导者用户为跟随者。提出双层算法求解问题。最后研究案例验证方法正确性。结果表明该方法可用于综合能源系统的有效能量管理,IoT在信息交换中发挥重要作用。

English Abstract

This paper proposes an energy optimization management method of interaction between the smart energy hub (SEH) and users in the energy system. Internet of Things (IoT) and energy storage are also considered in the system. First, the models of the SEH and users are constructed. Then the profit models under the influence of energy storage are discussed. Next the Stackelberg game model is applied in this paper, where the SEH acts as the leader and the users are the followers. A double-layer algorithm is proposed to solve the problem. Finally, a case is studied to verify the correctness of the method. The results show that the method can be used for effective energy management in integrated energy system and IoT plays an important role in information exchange.
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SunView 深度解读

该智慧能源枢纽管理技术对阳光电源综合能源服务解决方案有重要应用价值。阳光PowerTitan储能系统可作为能源枢纽核心设备,协调多能源供需。Stackelberg博弈模型的领导者-跟随者机制可应用于阳光虚拟电厂的分层优化控制。双层算法对阳光iSolarCloud平台的多目标优化有借鉴意义。IoT信息交换强调与阳光物联网平台理念一致。该研究展示的储能和需求响应协同优化思路,可支撑阳光拓展智慧能源枢纽业务,提供综合能源管理和优化服务。