Research on Photovoltaic Hybrid Energy Storage System Based on Adaptive VSG Control Strategy
Author:
Affiliation:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
    Abstract:

    [Objective] In the context of ongoing energy transition, photovoltaic power generation has attracted significant attention due to its clean and environmentally friendly nature, and its penetration rate in the energy sector continues to rise. However, the randomness and volatility of its output pose challenges to the stable operation of the power system. To address issues such as slow dynamic response and poor stability caused by grid-connected photovoltaic power generation units, a photovoltaic hybrid energy storage system is proposed. [Methods] With a focus on photovoltaic power generation, a hybrid energy storage system was introduced on the DC side of photovoltaic inverter. Considering the working characteristics of battery and supercapacitor, they were connected to the DC bus through a DC/DC converter using an active connection method. A separate frequency division control strategy was developed for the energy storage unit. Maximum power point tracking (MPPT) control was applied to the Boost converter of the photovoltaic power generation unit, and a strategy based on virtual synchronous generator (VSG) control was proposed to achieve grid connection of photovoltaic inverter. This paper established the VSG mathematical model in the two-phase synchronous rotating coordinate system, analyzed the impact of moment of inertia J and damping D on the system, pointed out the improvement methods, derived the adaptive parameter expression, and designed key parameters in the system. Finally, a grid-connected simulation model of photovoltaic hybrid energy storage was established in Matlab/Simulink. The active power output of the system was analyzed under the improved adaptive VSG control strategy proposed in this paper and the traditional VSG control strategy, with constant external conditions. Additionally, the stability of the entire system was analyzed under the given values of changing light intensity, load jump, and active power command jump. [Results] By observing the corresponding waveforms of each module, it is shown that the developed system can adjust the charging and discharging power of the battery in real time based on the relationship between photovoltaic output and load demand, ensure the power balance, and maintain the voltage stability of the bus. The proposed improved adaptive VSG control strategy not only considers the change in moment of inertia, but also takes into account the change in damping coefficient, which allows it to simultaneously suppress the frequency deviation rate and variation. Compared to the traditional VSG control strategy, it can further improve the frequency response and active power output response characteristics. The photovoltaic hybrid energy storage frequency division control can rapidly mitigate the power fluctuations in the system and make full use of the working characteristics of the energy storage system to maintain stable operation, which is conducive to extending the service life of the battery. [Conclusion] The simulation results strongly validate the feasibility and advantages of the proposed improved adaptive VSG control strategy in optimizing the operational efficiency of the photovoltaic hybrid energy storage system and supporting the reliable grid connection of distributed photovoltaic systems. Moreover, it provides new insights and technical support for the stable management and control of new energy power systems.

    Reference
    Related
    Cited by
Get Citation

HAN Honglin, WANG Xinglu, LIN Cunhao. Research on Photovoltaic Hybrid Energy Storage System Based on Adaptive VSG Control Strategy[J]. Electric Machines & Control Application,2025,52(2):159-170.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:November 02,2024
  • Revised:November 19,2024
  • Adopted:
  • Online: February 28,2025
  • Published:
You are thevisitor
沪ICP备16038578号-3
Electric Machines & Control Application ® 2025
Supported by:Beijing E-Tiller Technology Development Co., Ltd.

沪公网安备 31010702006048号