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An adaptive model-based real-time voltage control process for Active Distribution Networks using Battery Energy Storage Systems

机译:使用电池储能系统的基于自适应模型的有源配电网络实时电压控制过程

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The paper presents a centralized real-time adaptive and model-based voltage control algorithm for Active Distribution Networks (ADNs). Differently from the available literature, the proposed algorithm merely relies on the control of Battery Energy Storage Systems (BESSs). In this respect, an experimentally model-fitted two-time constant dynamic model of BESS is used. In particular, this model is used to compute the constraints of the BESSs in terms of DC active power at each controller iteration. These constraints are subsequently used in the central controller for the solution of the optimal voltage control problem. The performances of the proposed method are compared with those obtained for the case where BESSs are modeled as ideal energy reservoirs. Such an assessment is carried out using a numerical example referring to IEEE 13 buses distribution test feeder suitably adapted to include stochastic generation and BESSs.
机译:本文提出了一种用于主动配电网(ADN)的集中式实时自适应和基于模型的电压控制算法。与现有文献不同,所提出的算法仅依赖于电池能量存储系统(BESS)的控制。在这方面,使用了实验拟合的BESS二次恒定动力学模型。特别是,此模型用于在每次控制器迭代时根据DC有功功率来计算BESS的约束。这些约束随后在中央控制器中用于解决最佳电压控制问题。将所提方法的性能与将BESSs建模为理想储能器的情况下的性能进行了比较。使用参考IEEE 13总线分布测试馈线的数值示例进行这种评估,该馈线适用于包括随机生成和BESS。

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