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Distributed load scheduling in residential neighborhoods for coordinated operation of multiple home energy management systems

机译:多家用能管理系统协调运行的住宅邻域分布式负载调度

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摘要

Recently, home energy management systems (HEMS) are gaining more popularity enabling customers to minimize their electricity bill under time-varying electricity prices. Although they offer a promising solution for better energy management in smart grids, the uncoordinated and autonomous operation of HEMS may lead to some operational problems at the grid level. This paper aims to develop a coordinated framework for the operation of multiple HEMS in a residential neighborhood based on the optimal and secure operation of the grid. In the proposed framework customers cooperate to optimize energy consumption at the neighborhood level and prevent any grid operational constraints violation. A new price-based global and individualized incentives are proposed for customers to respond and adjust loads. The individual customers are rewarded for their cooperation and the network operator benefits by eliminating rebounding network peaks. The alternating direction method of multipliers (ADMM) technique is used to implement coordinated load scheduling in a distributed manner reducing the computational burden and ensure customer privacy. Simulation results demonstrate the efficacy of the proposed method in maintaining nominal network conditions while ensuring benefits for individual customers as well as grid operators.
机译:最近,家庭能源管理系统(HEMS)正在获得更受欢迎的普及,使客户能够在时代的电价下尽量减少他们的电费。虽然它们为智能电网提供更好的能源管理提供了有希望的解决方案,但下摆的不协调和自主操作可能导致网格级别的一些操作问题。本文旨在基于网格的最佳和安全操作,开发用于住宅邻域中多个下摆的协调框架。在拟议的框架客户中,客户合作以优化邻域级的能耗并防止任何网格运行限制违规。为客户提出了一种新的全球全球和个性化的激励措施,以回应和调整负荷。通过消除反弹网络峰值,各客户获得合作和网络运营商的奖励。乘法器(ADMM)技术的交替方向方法用于以分布式方式实现协调负载调度,从而减少计算负担并确保客户隐私。仿真结果表明了提出的方法在维护标称网络条件时的功效,同时确保对个人客户以及电网运营商的益处。

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