Zhao Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Zhao Liu has a total of 28 co-authors. Here are the top co-authors by number of shared publications:
Yue Zhang
Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Jiangsu, Peoples R China
3 shared publicationsShuai Wang
School of Automation, Nanjing University of Science and Technology, Nanjing, China
2 shared publicationsYuchong Huo
2 shared publicationsZhendong Ji
School of Automation, Nanjing University of Science and Technology, Nanjing, China
2 shared publicationsCheng Xu
1 shared publicationCong Tian
1 shared publication
Latest Publications
- Open Access
- 1 May 2026
- Published by Elsevier in SSRN Electronic Journal
A coordinated control strategy for power sharing and stability improvement under master-slave control considering line impedance differences
To address power sharing imbalances caused by inconsistent line impedances and steady-state stability degradation induced by equivalent impedances in multiple virtual synchronous generators (VSGs) operating in parallel within distribution networks, this paper proposes a master–slave coordinated control strategy. First, the impact of line impedance mismatch on power transfer and output impedance characteristics is analyzed. Subsequently, a master–slave power control architecture is developed. By centrally correcting and dispatching reference currents, the master unit overcomes the slow dynamic response of conventional consensus methods, achieving fast and accurate active and reactive power sharing. Additionally, virtual impedance control is incorporated into the master unit to reshape system output impedance. An equivalent reduction approach simplifies virtual impedance boundary design conditions, enhancing the system phase margin. Simulations validate the proposed strategy. Results demonstrate that the method achieves accurate power sharing under impedance mismatch conditions and effectively suppresses system resonance during grid impedance variations, significantly improving the steady-state stability and robustness of parallel VSG systems.
- 1 May 2026
- Published by Elsevier in SSRN Electronic Journal
Open AccessA coordinated control strategy for power sharing and stability improvement under master-slave control considering line impedance differences
To address power sharing imbalances caused by inconsistent line impedances and steady-state stability degradation induced by equivalent impedances in multiple virtual synchronous generators (VSGs) operating in parallel within distribution networks, this paper proposes a master–slave coordinated control strategy. First, the impact of line impedance mismatch on power transfer and output impedance characteristics is analyzed. Subsequently, a master–slave power control architecture is developed. By centrally correcting and dispatching reference currents, the master unit overcomes the slow dynamic response of conventional consensus methods, achieving fast and accurate active and reactive power sharing. Additionally, virtual impedance control is incorporated into the master unit to reshape system output impedance. An equivalent reduction approach simplifies virtual impedance boundary design conditions, enhancing the system phase margin. Simulations validate the proposed strategy. Results demonstrate that the method achieves accurate power sharing under impedance mismatch conditions and effectively suppresses system resonance during grid impedance variations, significantly improving the steady-state stability and robustness of parallel VSG systems.
- 26 August 2025
- Published by Elsevier in Electric Power Systems Research
- Vol. 250
Multi-layered optimal scheduling method for multi-park energy systems based on price-based demand response uncertainty
- 26 August 2025
- Published by Elsevier in Electric Power Systems Research
- Vol. 250
Multi-layered optimal scheduling method for multi-park energy systems based on price-based demand response uncertainty
- Open Access
- 1 November 2021
- Published by Elsevier in Energy Reports
- Vol. 7, 257-266
Deadbeat predictive power control for Vienna rectifier under unbalanced power grid condition
- 1 November 2021
- Published by Elsevier in Energy Reports
- Vol. 7, 257-266
Open AccessDeadbeat predictive power control for Vienna rectifier under unbalanced power grid condition
- 1 September 2019
- Published by Elsevier in Microelectronics Reliability
- Vol. 100-101, 113320
Fault ride-through capability of star-connected cascaded multilevel converter based hybrid energy storage system under unbalanced grid failure
- 1 September 2019
- Published by Elsevier in Microelectronics Reliability
- Vol. 100-101, 113320
Fault ride-through capability of star-connected cascaded multilevel converter based hybrid energy storage system under unbalanced grid failure
- 1 June 2019
- Published by SAGE Publications in Big Data
- Vol. 7 (2) , 130-138
Midterm Power Load Forecasting Model Based on Kernel Principal Component Analysis and Back Propagation Neural Network with Particle Swarm Optimization
To improve the accuracy of midterm power load forecasting, a forecasting model is proposed by combing kernel principal component analysis (KPCA) with back propagation neural network. First, the dimension of the input space is reduced by KPCA, then input the data set to the neural network model, optimized by particle swarm optimization. The monthly average of daily peak loads is forecasted to modify the daily forecast values and output the daily peak load in the end. Using the data provided by European Network on Intelligent Technologies to test the model, the mean absolute percent error of load forecasting model is only 1.39%. The feasibility and validity of the model have been proven.
- 1 June 2019
- Published by SAGE Publications in Big Data
- Vol. 7 (2) , 130-138
Midterm Power Load Forecasting Model Based on Kernel Principal Component Analysis and Back Propagation Neural Network with Particle Swarm Optimization
To improve the accuracy of midterm power load forecasting, a forecasting model is proposed by combing kernel principal component analysis (KPCA) with back propagation neural network. First, the dimension of the input space is reduced by KPCA, then input the data set to the neural network model, optimized by particle swarm optimization. The monthly average of daily peak loads is forecasted to modify the daily forecast values and output the daily peak load in the end. Using the data provided by European Network on Intelligent Technologies to test the model, the mean absolute percent error of load forecasting model is only 1.39%. The feasibility and validity of the model have been proven.
- Open Access
- 29 January 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 7, 16880-16891
A Power Distribution Control Strategy Between Energy Storage Elements and Capacitors for Cascaded Multilevel Inverter With Hybrid Energy Sources
The key technology of cascaded multilevel inverter with hybrid energy sources lies in the power distribution among different chains. A power distribution control strategy between the energy storage elements and the capacitors is proposed to achieve fault tolerant control. In cascaded multilevel inverter with hybrid energy sources, the chains with energy storage elements can operate in four quadrants while the chains with capacitors can only operate in two quadrants. With the proposed control method, the active power distribution is realized by active voltage vector superposition and the reactive power distribution is achieved by initial operation point selection. This enhances both system reliability and availability while enabling continuous operation in four quadrants. Meanwhile, the stable operation region and the range of the initial operation point have been derived by vector analysis to avoid over-modulation. An experimental prototype based on a single phase link with two series chains has been built in the laboratory. Simulation and experimental results are provided to demonstrate the effectiveness of the proposed control method.
- 29 January 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 7, 16880-16891
Open AccessA Power Distribution Control Strategy Between Energy Storage Elements and Capacitors for Cascaded Multilevel Inverter With Hybrid Energy Sources
The key technology of cascaded multilevel inverter with hybrid energy sources lies in the power distribution among different chains. A power distribution control strategy between the energy storage elements and the capacitors is proposed to achieve fault tolerant control. In cascaded multilevel inverter with hybrid energy sources, the chains with energy storage elements can operate in four quadrants while the chains with capacitors can only operate in two quadrants. With the proposed control method, the active power distribution is realized by active voltage vector superposition and the reactive power distribution is achieved by initial operation point selection. This enhances both system reliability and availability while enabling continuous operation in four quadrants. Meanwhile, the stable operation region and the range of the initial operation point have been derived by vector analysis to avoid over-modulation. An experimental prototype based on a single phase link with two series chains has been built in the laboratory. Simulation and experimental results are provided to demonstrate the effectiveness of the proposed control method.
- 1 September 2018
- Published by Elsevier in Microelectronics Reliability
- Vol. 88-90, 1268-1273
A novel fault-tolerant control for battery-energy-storage system based on cascaded multilevel converter with battery/BMS failure
- 1 September 2018
- Published by Elsevier in Microelectronics Reliability
- Vol. 88-90, 1268-1273
A novel fault-tolerant control for battery-energy-storage system based on cascaded multilevel converter with battery/BMS failure