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Title: Duty-Cycle Predictive Control of Quasi-Z-Source Modular Cascaded Converter Based Photovoltaic Power System

Journal Article · · IEEE Access
 [1]; ORCiD logo [1];  [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]
  1. Hebei Univ. of Technology, Tianjing (China)
  2. Beihang Univ., Beijing (China)
  3. Texas A & M Univ., College Station, TX (United States)
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
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A duty-cycle predictive control is proposed for dc grid integration of front-end isolated quasi-Z-source modular cascaded converter (qZS-MCC) photovoltaic (PV) power system. The post-stage qZS half-bridge dc-dc converter deals with PV maximum power point tracking, dc grid integration, and dc-link voltage balance; whereas, the front-end isolation converters operate at a constant duty cycle of 50%. Thus, it saves control hardware resources while overcoming challenges from PV-panel voltage variations and dc-bus voltage limit. The proposed control uses the derived circuit model to predict the global active-state duty cycle for grid-connected current control and predict the shoot-through duty cycles for dc-link voltage balance, achieving a fast and accurate tracking target. The proposed control method has advantages of: i) eliminating weighting factors that exist in conventional model predictive control (MPC), ii) no sophisticated loop parameters design that exists in proportional-integral (PI) control, iii) operating at constant switching frequency that is different from the conventional MPC with variable switching frequency. Simulation and experimental tests are carried out to verify the effectiveness of the proposed control method and compare with the PI-based control system.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE; Science and Technology Support Project of Hebei Province; Hebei Foreign Experts Affairs Bureau; Fundamental Research Funds for the Central Universities
Grant/Contract Number:
AC05-00OR22725; 19214501D; 2019YX005A; KG16034501
OSTI ID:
1684665
Journal Information:
IEEE Access, Vol. 8, Issue 1; ISSN 2169-3536
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

Figures / Tables (14)

FIGURE 1(p. 3)figure FIGURE 1
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FIGURE 5(p. 6)figure FIGURE 5
TABLE 1(p. 7)table TABLE 1
TABLE 2(p. 7)table TABLE 2
TABLE 3(p. 7)table TABLE 3
FIGURE 6(p. 8)figure FIGURE 6
FIGURE 7(p. 8)figure FIGURE 7
FIGURE 8(p. 9)figure FIGURE 8
FIGURE 10(p. 10)figure FIGURE 10
FIGURE 9(p. 10)figure FIGURE 9
FIGURE 11(p. 11)figure FIGURE 11

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Related Subjects

42 ENGINEERING
photovoltaic power system
dc-dc power conversion
quasi-Z-source converter
predictive control