住宅可再生能源集成的最优负荷调度

Thanh Dang, Kathryn E. Ringland
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引用次数: 23

摘要

我们提出了一种最优负荷调度算法,以最小化智能电网中住宅的能源成本。该算法针对具有可再生能源、储能、双向通信和能源调度的智能电网设计。家里的每个电器都有可以推迟但有截止日期的任务。该算法考虑了能源零售商的前一天价格,可再生能源的本地发电信息,以及未来的工作,以决定何时购买或出售能源,同时仍然在截止日期前完成工作。该算法通过构造一个可有效求解的线性优化问题来实现其最优性。仿真结果表明,与其他方法相比,该方法可降低20%的能源成本和100%的峰值能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal load scheduling for residential renewable energy integration
We propose an optimal load scheduling algorithm to minimize energy cost for residential homes in smart grids. The algorithm is designed for smart grids with renewable energy sources, energy storage, and two-way communication and energy dispatch. Each appliance in a home has jobs that can be deferred but have deadlines. The algorithm takes into account day-ahead pricing with inclining block rates from energy retailers, local energy generation information from renewable sources, and future jobs to make decisions on when to buy or sell energy while still accomplishing the jobs before their deadlines. The algorithm achieves its optimality by formulating a linear optimization problem that can be solved efficiently. Simulation results show that our approach can reduce energy cost by 20% and peak energy consumption by 100% compared to other approaches.
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