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Optimal demand response program for the best load profile reformation based on adaptive technique in smart grids

机译:基于自适应技术的智能电网最优负荷曲线优化的最优需求响应程序

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摘要

Smart grids are integrated communications and power system infrastructures to improve the efficiency, reliability and safety of power deliveries and its usages. In this paper, Time of Use (TOU) programs in smart grids are studied. In this regard, Real Time Pricing method (RTP) has been developed using multi objective load models. Also, the effects of smart grids on demand curve have been simulated by different scenarios. Elasticity criterion in this method is optimized in two steps, and after that the best elasticity criterion is achieved. Also, Iran's national grid has been selected to analyze the effects of real time pricing in smart grid environments on load curve. Meanwhile, the results have been compared with TOU programs for better presentation of proposed method even by same initial load curve and finally excellent performance of this technique will be shown.
机译:智能电网是集成的通信和电力系统基础架构,旨在提高电力输送及其使用的效率,可靠性和安全性。在本文中,研究了智能电网中的使用时间(TOU)程序。在这方面,已经使用多目标负载模型开发了实时定价方法(RTP)。而且,智能电网对需求曲线的影响已经通过不同的场景进行了模拟。该方法的弹性准则分两步进行优化,然后获得最佳弹性准则。此外,已选择伊朗的国家电网来分析智能电网环境中实时定价对负荷曲线的影响。同时,将结果与TOU程序进行了比较,即使在相同的初始负载曲线下也能更好地介绍所提出的方法,最终将显示该技术的出色性能。

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