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Economic Integration of Renewable Energy Sources for Optimal Operation of Smart Grid

机译:可再生能源的经济整合,以实现智能电网的最佳运行

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Integration of renewable energy sources (RES) into modern power networks is a difficult task for system operators considering their intermittency of generation, effect on the operating condition and ability to disorganize the daily operation of electric grid. This paper presents an efficient integration algorithm and methodology of solar and wind energy sources with modern power system to revamp the standard of electric power supply at minimum price and highest reliability in smart grid infrastructure. The costing characteristics of solar and wind unit have been modelled in this work suitably by the data collected from NASA Surface Metrology and Solar Energy to incorporate these clean energy sources into the optimal power flow programme (OPF) with a pareto optimal objective function substantiating the welfare of all the individual participants. In the presence of renewable energy sources, this methodology has been demonstrated to be able to sustain reliable and standard operating condition. The algorithm has been examined in IEEE 30-bus system to demonstrate its efficacy.
机译:可再生能源(RES)将可再生能源(RES)集成到现代电网是系统运营商考虑其生成间歇性的艰巨任务,对操作条件和混杂化电网日常运行的能力影响。本文提出了一种高效的集成算法和具有现代电力系统的太阳能和风能来源的方法,以在智能电网基础设施中以最低价格和最高可靠性加工电力供应标准。太阳能和风电机的成本特性在这项工作中,通过从美国宇航局表面计量和太阳能收集的数据合适地利用了这些清洁能源,将这些清洁能源融入最佳的电力流程(OPF),其具有证实福利的帕累托最优目标函数所有的个人参与者。在可再生能源存在下,已经证明了这种方法能够维持可靠和标准的操作条件。在IEEE 30-Bus系统中已经检查了该算法以展示其功效。

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