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Energy losses in large-scale PV power plants (LPVPPs) due to partial shading can be reduced by utilizing unit-level DC optimizers (DCOs). This chapter introduces a new DCO-based decentralized control (DBDC) strategy for LPVPPs, aimed at providing active frequency support without the need for energy storage systems. The proposed DBDC strategy is composed of two hierarchical levels: a plant-level modified DC-link voltage control for the PV inverter, and a unit-level enhanced virtual inertia control combined with a lookup table-based droop control implemented in the DCO controller for each PV unit. The energy stored in the DC-link capacitor can be modulated to emulate inertia in response to grid frequency variations through plant-level voltage control. Concurrently, frequency deviations are translated into adjustments in the DCO output voltages. Subsequently, based on the voltage deviations from the DCOs, adaptive power adjustments for the PV units are achieved through the unit-level virtual inertia and droop control mechanisms. Ultimately, the proposed DBDC strategy enables maximum utilization of PV reserve power and operates without any communication network, even in conditions of frequent partial shading. Case studies on a PV-integrated two-area system have been conducted. Comparative simulation results demonstrate the efficacy and broad applicability of the proposed DBDC strategy across various scenarios.

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DC Optimizer-Based Decentralized Frequency Support Scheme of Large-Scale PV Plants Considering Partial Shading Conditions

  • 章节

  • 发表日期：

    2025年

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  • Wei Yao,
  • Yongxin Xiong,
  • Hongyu Zhou,
  • Jinyu Wen

摘要

Energy losses in large-scale PV power plants (LPVPPs) due to partial shading can be reduced by utilizing unit-level DC optimizers (DCOs). This chapter introduces a new DCO-based decentralized control (DBDC) strategy for LPVPPs, aimed at providing active frequency support without the need for energy storage systems. The proposed DBDC strategy is composed of two hierarchical levels: a plant-level modified DC-link voltage control for the PV inverter, and a unit-level enhanced virtual inertia control combined with a lookup table-based droop control implemented in the DCO controller for each PV unit. The energy stored in the DC-link capacitor can be modulated to emulate inertia in response to grid frequency variations through plant-level voltage control. Concurrently, frequency deviations are translated into adjustments in the DCO output voltages. Subsequently, based on the voltage deviations from the DCOs, adaptive power adjustments for the PV units are achieved through the unit-level virtual inertia and droop control mechanisms. Ultimately, the proposed DBDC strategy enables maximum utilization of PV reserve power and operates without any communication network, even in conditions of frequent partial shading. Case studies on a PV-integrated two-area system have been conducted. Comparative simulation results demonstrate the efficacy and broad applicability of the proposed DBDC strategy across various scenarios.