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Topological Considerations on the Use of Batteries to Enhance the Reliability of HV-Grids

机译:关于使用电池增强高压电网可靠性的拓扑注意事项

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The large amount of renewable energy sources (RESs) recently integrated within the electric power systems across the world poses new challenges for their operation. Among several viable solutions, energy storage systems are the most promising to increase reliability and flexibility. This paper proposes a novel topological and probabilistic approach to find the optimal capacity and siting of energy storage devices, in order to increase the system reliability and the hosting capacity of renewables. Wind and solar productions, generators availability, and real-time demand are modeled with proper distribution functions, and the yearly expected energy not supplied is estimated using a sequential Monte Carlo technique. Four siting policies are applied and compared to place the optimal storage capacity on eight grids with different topological characteristics. Power flows are linearized and the optimization of resources is formulated as a linear programming problem. The results show that large-scale batteries operated by the Transmission System Operator can significantly improve system reliability and exploitation of RESs. The presence of energy-hubs and small-world properties strongly increase the transmission effectiveness of weakly- and well-meshed grids. A siting policy based on the Power Transfer Distribution Factors matrix of the grid turns out to be particularly successful.
机译:最近,全球范围内的电力系统中集成了大量的可再生能源(RES),对其运行提出了新的挑战。在几种可行的解决方案中,储能系统最有希望提高可靠性和灵活性。为了提高系统的可靠性和可再生能源的承载能力,本文提出了一种新颖的拓扑和概率方法来寻找储能设备的最佳容量和位置。利用适当的分布函数对风能和太阳能的生产,发电机的可用性和实时需求进行建模,并使用顺序蒙特卡洛技术估算未提供的年预期能量。应用了四个选址策略并进行了比较,以将最佳存储容量放置在具有不同拓扑特征的八个网格上。潮流被线性化,资源的优化被表述为线性规划问题。结果表明,由传输系统操作员操作的大型电池可以显着提高系统可靠性和对RES的利用。能量中心和小世界特性的存在极大地提高了网格薄弱和网格良好的传输效率。事实证明,基于电网的功率传输分布因子矩阵的选址策略特别成功。

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