Decentralized Neighborhood Energy Management With Coordinated Smart Home Energy Sharing
Decentralized Neighborhood Energy Management With Coordinated Smart Home Energy Sharing
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DOI：
10.1109/tsg.2017.2710358
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发表时间：
2018-11
影响因子：
9.6
通讯作者：
B. Celik;R. Roche;D. Bouquain;A. Miraoui
中科院分区：
文献类型：
--
作者：
B. Celik;R. Roche;D. Bouquain;A. Miraoui
本文介绍了一种日用的能源管理算法，用于在附近地区使用可再生能源和能源存储系统协调的智能家居。本文的目的是通过设备调度和能源共享（在智能家居中）建立日间分散的协调方法，以最大程度地减少动态定价下的消费者的电费。能源共享算法的重点是通过控制存储单元来增加可再生资源的利用。多代理系统用于将实体（智能家居，聚合器和实用程序）作为代理建模，并且具有遗传算法的家庭代理以分散的方式解决了优化问题。每年在不考虑预测错误的情况下评估协调算法的性能。
This paper introduces a day-ahead energy management algorithm for the coordination of smart homes with renewable energy sources and energy storage systems in neighborhood areas. The aim of this paper is to establish a day-ahead decentralized coordination method with appliance scheduling and energy sharing (among smart homes) to minimize the electricity bills of consumers under dynamic pricing. The energy sharing algorithm focuses on increasing the utilization of renewable sources by controlling storage units. A multi-agent system is used to model entities (smart homes, aggregator, and utility) as agents and the optimization problem is solved in a decentralized manner by home agents with a genetic algorithm. The performance of the coordination algorithm is evaluated annually with and without considering forecasting errors.