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Model predictive control of voltage profiles in MV networks with distributed generation

机译:分布式生成模型预测控制MV网络中的电压谱

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摘要

The Model Predictive Control (MPC) approach is used in this paper to controlthe voltage profiles in MV networks with distributed generation. The proposedalgorithm lies at the intermediate level of a three-layer hierarchicalstructure. At the upper level a static Optimal Power Flow (OPF) managercomputes the required voltage profiles to be transmitted to the MPC level,while at the lower level local Automatic Voltage Regulators (AVR), one for eachDistributed Generator (DG), track the reactive power reference values computedby MPC. The control algorithm is based on an impulse response model of thesystem, easily obtained by means of a detailed simulator of the network, andallows to cope with constraints on the voltage profiles and/or on the reactivepower flows along the network. If these constraints cannot be satisfied byacting on the available DGs, the algorithm acts on the On-Load Tap Changing(OLTC) transformer. A radial rural network with two feeders, eight DGs, andthirty-one loads is used as case study. The model of the network is implementedin DIgSILENT PowerFactory, while the control algorithm runs in Matlab. A numberof simulation results is reported to witness the main characteristics andlimitations of the proposed approach.
机译:本文使用了模型预测控制(MPC)方法,以控制具有分布生成的MV网络中的电压配置。拟议算法位于三层层级结构的中间水平。在上层,静态最佳功率流量(OPF)管理器兼容要传输到MPC电平的所需电压型材,而在较低级本地自动电压调节器(AVR),一个用于每个单分布的发电机(DG),跟踪无功功率ComputedBy MPC的参考值。控制算法基于系统的脉冲响应模型,通过网络的详细模拟器容易地获得,并且可以沿网络沿着网络的电压分布和/或在电阻驱动器上的限制上应对限制。如果在可用DGS上不能满足这些约束,则该算法在载载分接换(OLTC)变压器上作用。用两个饲料,八个DGS和特性的辐射农村网络被用作案例研究。网络模型在DigSilent PowerFactory中实现,而控制算法在MATLAB中运行。据报道,仿真结果的Numberof旨在目睹所提出的方法的主要特征。

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