当前位置: X-MOL 学术Integr. Comput. Aided Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Near real-time management of appliances, distributed generation and electric vehicles for demand response participation
Integrated Computer-Aided Engineering ( IF 6.5 ) Pub Date : 2022-04-01 , DOI: 10.3233/ica-220679
Filipe Fernandes 1 , Hugo Morais 2 , Zita Vale 1
Affiliation  

Consumer-centric energy management approaches are emerging as a major solution for future power systems. In this context, intelligent home management systems should manage different kinds of devices existing in the houses assuring convenient comfort levels and understanding the users’ behaviour. Atthe same time, the home management systems should be able to interact with other actors such as energy communities, aggregators, and system operators. The main contribution of this work is a new methodology allowing intelligent management, in near real-time (1 minute), of different types of energy resources existing in a smart home. The energy resources include appliances and other loads, micro-generation, and electric vehicles. The proposed system includes a permanent evaluation of the operation state of each energy resource considering their functional model and the behaviour and comfort level defined by the users. Participation in demand response programs reducing the power consumption limits is also considered showing the advantage of the proposed approach. The case study contains two scenarios considering a demand response program of power limitation with 120 minutes duration. To guarantee participation in these demand response events, the system should evaluate the priority of each device according to its model. A domestic consumer with 45 energy resources (appliances, generation, and electric vehicles) is used for demonstration purposes.

中文翻译:

近实时管理电器、分布式发电和电动汽车,以参与需求响应

以消费者为中心的能源管理方法正在成为未来电力系统的主要解决方案。在这种情况下,智能家居管理系统应管理房屋中存在的不同类型的设备,以确保方便的舒适度并了解用户的行为。同时,家庭管理系统应该能够与能源社区、聚合器和系统运营商等其他参与者进行交互。这项工作的主要贡献是一种新方法,允许近实时(1 分钟)对智能家居中存在的不同类型的能源进行智能管理。能源资源包括电器和其他负载、微型发电和电动汽车。建议的系统包括对每种能源的运行状态的永久评估,考虑到它们的功能模型以及用户定义的行为和舒适度。参与降低功耗限制的需求响应计划也被认为显示了所提出方法的优势。该案例研究包含两个场景,考虑一个持续时间为 120 分钟的功率限制需求响应程序。为了保证参与这些需求响应事件,系统应根据其模型评估每个设备的优先级。一个拥有 45 种能源(电器、发电和电动汽车)的国内消费者用于演示目的。参与降低功耗限制的需求响应计划也被认为显示了所提出方法的优势。该案例研究包含两个场景,考虑一个持续时间为 120 分钟的功率限制需求响应程序。为了保证参与这些需求响应事件,系统应根据其模型评估每个设备的优先级。一个拥有 45 种能源(电器、发电和电动汽车)的国内消费者用于演示目的。参与降低功耗限制的需求响应计划也被认为显示了所提出方法的优势。该案例研究包含两个场景,考虑一个持续时间为 120 分钟的功率限制需求响应程序。为了保证参与这些需求响应事件,系统应根据其模型评估每个设备的优先级。一个拥有 45 种能源(电器、发电和电动汽车)的国内消费者用于演示目的。系统应根据其型号评估每个设备的优先级。一个拥有 45 种能源(电器、发电和电动汽车)的国内消费者用于演示目的。系统应根据其型号评估每个设备的优先级。一个拥有 45 种能源(电器、发电和电动汽车)的国内消费者用于演示目的。
更新日期:2022-04-01
down
wechat
bug