Yongbing Suo

Mr. Yongbing Suo


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 March 2022 in IEEE Journal of Emerging and Selected Topics in Power Electronics
Verified
Journal Article
Closed access
XLXinbo Liu
Xinbo Liu
YSYongbing Suo
Yongbing Suo
ZZZhou Zhang
Zhou Zhang
XSXiaotong Song
Xiaotong Song
JZJinghua Zhou
Jinghua Zhou
PI control and model predictive control (MPC) are mainly utilized in battery and supercapacitor hybrid energy storage system (HESS) of DC microgrid. Unfortunately, the regulation time of PI controller is long, while large current ripples are introduced by MPC when the system frequency is low. This paper proposes a new model predictive current control (new MPCC) strategy for HESS based on MPC and PI controllers. This method reduces current ripples, and meanwhile enhances system stability and rapidity. MPC is adopted as the outer loop, and calculates reference values for the inner PI current loop. Furthermore, the state of charge (SOC) of the supercapacitor (SC) is considered based on fuzzy control to optimize the reference power of SC inner controller. Firstly, the topology and mathematical model of HESS in DC microgrid are analyzed. Then based on PI control and MPC, the new MPCC is proposed, and compared with MPC and PI methods respectively. Finally, the fuzzy control method takes SOC of SC into account to optimize the SC reference current. Simulation and experimental results show that the proposed new control strategy could effectively decrease current ripples and dynamic processes, and entirely perform high energy density characteristic of batteries and high power density characteristic of SC.

7 September 2022 in Electronics
Verified
Journal Article
Open access
PDF file
XLXinbo Liu
Xinbo Liu
YSYongbing Suo
Yongbing Suo
XSXiaotong Song
Xiaotong Song
JZJinghua Zhou
Jinghua Zhou
YQYaxin Qu
Yaxin Qu
Islanded DC microgrids composed of distributed generators (DGs), constant power loads (CPLs), parallel converters, batteries and supercapacitors (SCs) are typical nonlinear systems, and guaranteeing large-signal stability is a key issue. In this paper, the nonlinear model of a DC microgrid with a hybrid energy storage system (HESS) is established, and large-signal stability criteria are obtained. The HESS consists of batteries and SCs. The derived criteria reveal the influences of the filter parameters, CPL power, DG power and the proportional control parameters of the battery converter and the SC converter on the system large-signal stability. Furthermore, important large-signal stabilization methods for regulating the HESS converter’s control parameters can easily achieve the large-signal stabilization of islanded DC microgrids without extra equipment. The paper is summarized as follows: First, the topology of and control strategy for a DC microgrid with an HESS and CPLs are proposed. Then, according to the characteristics of the HESS, the DGs and the CPLs, the system is equivalently simplified. Finally, the nonlinear model and large-signal stability criteria are both derived using the mixed potential theory, and a large-signal stabilization design method for the HESS converter’s control parameters is proposed. The experimental and simulation results show the effectiveness of the proposed large-signal stabilization method.


25 September 2023 in Electronics
Verified
Journal Article
Open access
PDF file
XLXinbo Liu
Xinbo Liu
YZYiran Zhang
Yiran Zhang
YSYongbing Suo
Yongbing Suo
XSXiaotong Song
Xiaotong Song
JZJinghua Zhou
Jinghua Zhou
In islanded DC microgrids, the negative impedance characteristics of constant power loads (CPLs) usually introduce instability influences; on the contrary, hybrid energy-storage systems (HESSs) constituted of batteries and supercapacitors (SCs) have stabilization advantages. To guarantee the large-signal stability of islanded DC microgrids with n+1 parallel energy-storage converters, an equivalent model is first constructed based on the control strategies of the converters. Then, according to the mixed potential function theory, a large-signal stability criterion, considering powers, inductors, capacitors, the DC bus voltage, the equivalent internal resistances of batteries, the proportional parameters of the inner current loop of n battery DC–DC converters, the proportional parameter of the outer power control loop of the SC DC–DC converter, and the proportional parameter of the inner current loop of the CPLs, is derived. Furthermore, the proposed large-signal stability criterion is optimized via the use of droop control for n battery converters, and coefficients related to the droop coefficients are also taken into account. These involved control parameters reveal the process of regulating the HESS and CPLs instead of ideal modeling and significantly reduce the conservatism of the criterion to some extent. In addition, on the basis of the large-signal stability criterion presented herein, the maximum CPL power that the islanded DC microgrids can stably support is obtained. Finally, simulation and experimental results verify the validity of the provided large-signal-stability criterion. The given procedure of analyzing large-signal stability is more consistent with planning and operating actual DC microgrids.