Singaravelan A, Kowsalya M
School of Electrical Engineering, VIT University, Vellore 632 014, Tamil Nadu, India.
J Adv Res. 2017 Nov;8(6):731-741. doi: 10.1016/j.jare.2017.10.001. Epub 2017 Oct 6.
With the latest development of smart grid technology, the energy management system can be efficiently implemented at consumer premises. In this paper, an energy management system with wireless communication and smart meter are designed for scheduling the electric home appliances efficiently with an aim of reducing the cost and peak demand. For an efficient scheduling scheme, the appliances are classified into two types: uninterruptible and interruptible appliances. The problem formulation was constructed based on the practical constraints that make the proposed algorithm cope up with the real-time situation. The formulated problem was identified as Mixed Integer Linear Programming (MILP) problem, so this problem was solved by a step-wise approach. This paper proposes a novel Minimum Cost Maximum Power (MCMP) algorithm to solve the formulated problem. The proposed algorithm was simulated with input data available in the existing method. For validating the proposed MCMP algorithm, results were compared with the existing method. The compared results prove that the proposed algorithm efficiently reduces the consumer electricity consumption cost and peak demand to optimum level with 100% task completion without sacrificing the consumer comfort.
随着智能电网技术的最新发展，能源管理系统能够在用户端高效实施。本文设计了一种具有无线通信和智能电表的能源管理系统，旨在通过有效调度家用电气设备来降低成本和高峰需求。对于一种高效的调度方案，设备被分为两类：不可中断设备和可中断设备。基于使所提算法能应对实时情况的实际约束条件构建了问题公式。所构建的问题被识别为混合整数线性规划（MILP）问题，因此该问题通过逐步方法求解。本文提出一种新颖的最小成本最大功率（MCMP）算法来解决所构建的问题。利用现有方法中的可用输入数据对所提算法进行了仿真。为验证所提的MCMP算法，将结果与现有方法进行了比较。比较结果证明，所提算法能在不牺牲用户舒适度的情况下，将用户用电成本和高峰需求高效降低至最优水平，且任务完成率达100%。
