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A Model Predictive Power Control Method for PV and Energy Storage Systems With Voltage Support Capability
IEEE Transactions on Smart Grid ( IF 9.6 ) Pub Date : 2019-07-19 , DOI: 10.1109/tsg.2019.2929751
Yinghao Shan , Jiefeng Hu , Josep M. Guerrero

The cascaded control method with an outer voltage loop and an inner current loop has been traditionally employed for the voltage and power control of photovoltaic (PV) inverters. This method, however, has very limited power regulation capability. With the fast increasing penetration of PV power generation systems in the distribution network, the voltage rise/drop has become a serious problem impacting negatively on the power quality and grid stability. Therefore, flexible power regulation is highly desired for PV inverters to provide ancillary services. This paper proposes a novel model predictive power control (MPPC) scheme to control and coordinate the dc-dc converter and inverter for grid-connected PV systems with energy storage systems (ESS). By regulating the dc-bus voltage and controlling the active and reactive power flows, MPPC can support the power grid to maintain stable voltage and frequency and improve the power factor. Numerical simulation and controller hardware-in-the-loop (CHIL) testing have been conducted on a PV-ESS system to verify the capability and effectiveness of the proposed control strategy.

中文翻译:

具有电压支持能力的光伏和储能系统的模型预测功率控制方法

传统上,将具有外部电压环路和内部电流环路的级联控制方法用于光伏(PV)逆变器的电压和功率控制。但是,这种方法的功率调节能力非常有限。随着光伏发电系统在配电网络中的快速普及,电压上升/下降已成为严重影响电能质量和电网稳定性的严重问题。因此,对于光伏逆变器提供辅助服务,非常需要灵活的功率调节。本文提出了一种新颖的模型预测功率控制(MPPC)方案,以控制和协调并网光伏系统与储能系统(ESS)的DC-DC转换器和逆变器。通过调节直流母线电压并控制有功和无功功率流,MPPC可支持电网以维持稳定的电压和频率并提高功率因数。已经在PV-ESS系统上进行了数值模拟和控制器硬件在环(CHIL)测试,以验证所提出控制策略的能力和有效性。
更新日期:2020-04-22
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