To solve the problem that the conventional single-inductor dual-output(SIDO) Buck converter has a low step-down ratio, a quadratic type unit is introduced and a dual-output Buck converter with a high step-down ratio is proposed. The working principle for this converter is analyzed in depth, and it is found that there exist four working modes. The voltage gain expression of this converter is formulated, the critical inductance in each working mode is obtained, and the relationship among the working mode, inductance and load is summarized. The analytical expressions of output ripple voltage(ORV) in each working mode are established, and the relationship between ORV and inductance is analyzed. The inductance ripple current and capacitance ripple voltage are taken as constraint conditions, and the design formulas of inductance and capacitance are obtained. An experimental platform was set up, and experimental results verified the theoretical analysis.
To reduce the cross-regulation of a single-inductor dual-output Boost converter, a compound control scheme is proposed in this paper. An affine nonlinear mathematical model of the converter is established, and it is proved that this model satisfies the exact feedback linearization condition based on the differential geometry theory. The corresponding output function is constructed to realize the linearization and decoupling of the original system, and an internal model controller and a state feedback controller are designed for the linear system, respectively. In addition, the selection of feedback coefficients that meet the stability requirements of the control system is analyzed. Simulation results show that compared with the existing control method, the proposed control scheme has better dynamic regulation characteristics, better control performance and smaller cross-regulation. Moreover, experimental results verified its feasibility.
The negative impedance characteristic of constant-power load(CPL) is easy to cause the output voltage of a DC/DC converter system to be unstable. In this paper, a fuzzy adaptive back-stepping sliding mode control strategy is proposed for a Boost converter with CPL. First, exact feedback linearization is applied to convert the model into the Brunovsky’s standard form. Then, under the premise of ensuring the stability of a large signal, the fuzzy adaptive control method is added to the design of the back-stepping sliding mode controller, the system gain is updated in real time according to the fuzzy adaptive control system, and the Lyapunov theory is used to prove the stability of the entire closed-loop system. Finally, simulation and experimental results show that the proposed control strategy has a better dynamic adjustment performance and a stronger robustness compared with the traditional double closed-loop PI control method.
Aimed at the problem of intensified dq axis coupling when the ratio of the control frequency to the input voltage frequency of a three-phase three-wire Vienna rectifier is low, a method based on the complex coefficient transfer function is adopted to derive the open-loop transfer function of the current loop in the Vienna rectifier. Under the synchronous rotating coordinate system, a complex-coefficient control model of current loop considering the digital control delay is established. The analysis of this model shows that the traditional current feedforward decoupling method cannot achieve complete decoupling when considering the digital control delay. To solve this problem, a current feedforward decoupling control method with phase compensation is proposed, in which the output control signal multiplied by the phase compensation amount corresponding to the delay is taken as a new control signal, thus eliminating the influence of the delay on the control loop and effectively improving the performance of current loop. Finally, simulation and experimental platforms of a 1 000 W Vienna rectifier were built for verification, and simulation and experimental results proved the effectiveness of the proposed control strategy.
The conventional model predictive control of an LCL rectifier model requires an additional active damping(MPC-AD) algorithm to eliminate the resonance problem caused by the LCL filter, which results in a poor control performance since the grid-side current is indirectly controlled by the rectifier-side current. To this end, a finite control set model predictive optimal control strategy for LCL-filtered voltage source rectifier(VSR) is proposed. The multivariable control feature of MPC is exploited, and a single cost function is constructed to simultaneously control the grid-side current vector, filter capacitor voltage vector and rectifier-side current vector(MPC-i1i2uc), which does not need state variables to feed back the active damping. Then, the constructed cost function J is used to select the optimal switching state that will be applied to the system at the next moment. To verify the feasibility of the proposed method, a simulation experiment was carried out and a test prototype was built. The comparison with the conventional MPC-AD control method verified the feasibility and superiority of the proposed optimal control strategy.
In view of the problems that the traditional fixed switching frequency finite control set model predictive current control(FSF-FCS-MPCC) method cannot realize the junction temperature equilibrium of IGBT devices or reduce the junction temperature fluctuation and average temperature, a single-phase PWM rectifier is taken as the research object, and an improved MPCC method based on thermal management is proposed. Based on the two-vector fixed frequency predictive control, the optimal two vectors and action sequence are selected by designing an evaluation function. Then, the sampling period is taken as a unit, and two kinds of zero vectors are selected flexibly and used alternately. Finally, the corresponding switch state for control is generated through the modulation module. To verify the correctness and effectiveness of the theoretical analysis, a comparative study with the traditional FSF-FCS-MPCC method is carried out on a low-power experimental platform, and results show that this method can not only achieve the above control objectives, but also further reduce the grid-side current harmonic and steady-state error, thus improving the service life of switching devices and the reliability of converters.
Since voltage-controlled inverters(VCIs) show a strong stability under weak grid conditions, they are expected to gain increasing applications in renewable energy power generations. However, the VCI active power control bandwidth is usually lower than that of the current-controlled inverter(CCI). In addition, as the grid impedance increases and the grid weakens, the settling time of VCI active power control can even be as long as a few seconds, which is difficult to meet the requirements of maximum power point tracking(MPPT) in renewable energy power generations. Moreover, the existing VCI rapid active power control methods characterized by power-loop modification may lead to stability loss under weak grid conditions. To address this problem, the main contributions of this paper are as follows. First, a detailed input-output model of the VCI grid-connected system is established, and the reasons for the contradiction between stability and rapidity of the VCI power-loop modification method under weak grid conditions are revealed. Second, a rapid active power control method based on external loop modification and power reference pre-filtering is proposed, which can effectively improve the VCI active power control bandwidth without affecting its stability under weak grid conditions and further realizes the VCI-based MPPT control. Third, aimed at the influence of fluctuations of short-circuit ratio and grid impedance on the proposed control, an adaptive method based on the grid impedance online identification is proposed. Finally, experimental results validated the effectiveness of the proposed method.
Aimed at the problem of poor quality of grid-connected current caused by the delay due to the large impedance value of power grid and components including sensors in a weak grid environment, a control strategy which combines multi-resonance feed-forward and the current estimation method is adopted in this paper. The multi-resonance feed-forward control is utilized to extract low-order harmonics, thereby making the positive feedback channel only have a feedback effect in the main background harmonic. At the same time, the current estimation method is introduced, so that the system cost is reduced without changing the premise of an inhibition effect on the LCL inherent resonance frequency. Simulation results show that the total harmonic distortion of grid-connected current is reduced by 2.56%, and the adaptive capability of the system with respect to the weak grid with low-order harmonics is enhanced, which verifies the correctness and effectiveness of the proposed control strategy.
The effective suppression of negative-sequence current in a modular multilevel converter(MMC) is of significance to improving the power transmission quality and system stability. With the increasing probability of unbalanced faults in power grid, the control strategies for MMC under balanced grid voltage are no longer applicable. Therefore, starting from the influencing factors of internal and external characteristics of MMC, the research status both at home and abroad is summarized, and the future based on the existing research is forecasted. First, the similarities and differences of different control strategies under three control objectives are analyzed based on the external characteristics, the varying trend of each electrical quantity after the introduction of multi-variable control parameter k is further explained, and the limitations of these methods are pointed out. Second, based on the internal characteristics, the effects of circulation injection and third harmonic injection on the bridge arm current and capacitor voltage are sorted out, and the common problems of related research are analyzed. Finally, through the comprehensive analysis and consideration of related issues both at home and abroad, the existing challenges in this field are put forward, and the prospect for the future direction that needs in-depth exploration is forecasted.
The traditional model predictive control for three-phase grid-connected inverters has problems of unfixed switching frequency and high harmonic content of output current, which brings certain difficulties to the output filter design of grid-connected inverters and affects their operation efficiency. In this context, a model predictive current control algorithm with improved fixed-frequency for a three-phase grid-connected inverter is proposed. Three voltage vectors are adopted in each control cycle, and the action time of each voltage vector is determined through the current dead-beat control of αβ axis, thus selecting the optimal combination of voltage vectors that has the minimum current tracking error. Then, the switch signals are obtained by discontinuous pulse width modulation zero(DPWM0) modulation to realize the output current fixed-frequency control and reduce the harmonic content. Simulation and experimental results verified the feasibility and effectiveness of the proposed algorithm.
Aimed at the suppression of specific order harmonic and the control of delay compensation for a single-phase grid-connected inverter, a compound control strategy which combines quasi-proportional resonant(Quasi-PR) con-trol and repetitive control(RC) based on a state observer is proposed. First, the Quasi-PR controller is employed for achieving zero steady-state fundamental frequency error, and the repetitive controller is employed to suppress the specific order harmonic component. At the same time, considering the system’s control delay, the delay is estimated using the state observer, and a proper delay compensation link is designed based on the state observer. In addition, for the LCL-type filter’s resonance peak, the active damping is realized based on the capacitance current feedback. Finally, the feasibility and validity of the proposed compound control strategy were verified by simulation and experimental results.
To solve the problems of difficulty in the stable operation of isolated microgrid cluster(MGC) and complexity of voltage and frequency control, an intelligent voltage and frequency cooperative control method which is suitable for an MGC with multiple inverter distributed generations(DGs) is proposed. First, a model-based controller is designed using the Lyapunov theory and the dynamic characteristics of inverter DGs. Then, artificial neural network(ANN) is used to approximate the dynamic characteristics, so as to obtain an intelligent controller which does not require the prior information about DG parameters. In addition, the proposed controller does not need to use a voltage and current PI controller. Finally, the effectiveness of the proposed controller is verified through simulation analysis in different scenarios. Moreover, Lyapunov analysis is also used to prove that the tracking error and neural network weights are ultimately uniformly bounded, thereby achieving a better dynamic regulation of voltage and frequency.
Due to the delay in the field-oriented control of multi-microgrid parallel operation when using the existing method, the effect of field-oriented control is poor. Therefore, a novel type of field-oriented control strategy for multi-microgrid parallel operation is designed. First, an index for the field-oriented control of multi-microgrid parallel operation is formulated. Then, the corresponding influencing factors are determined and the distribution coefficient in a grid-connected scheme is established, and a hierarchical control method is adopted to perform a directional control of magnetic field during the multi-microgrid parallel operation, thus completing an optimization design of the field-oriented control of multi-microgrid parallel operation. Finally, simulation analysis is carried out to verify the voltage regulation speed, power stability and power regulation under the proposed control strategy. Results show that the proposed field-oriented control strategy for multi-microgrid parallel operation is effective.
To improve the parallel control precision of a permanent magnet direct drive wind power full-power converter, its parallel control method is studied. First, its parallel topology is analyzed, and its model is established. Then, the fluctuation of voltage amplitude caused by the fluctuation of reactive power due to the fluctuation of active power is calculated. Combined with the virtual impedance control method, the parallel control of the permanent magnet direct drive wind power full-power converter is realized. Experimental results show that the circulating current fluctuations on machine- and grid-side controlled by the proposed method in the parallel operation of permanent magnet direct drive wind power full-power converter were relatively stable, and the control precision of circulating current was as high as 99%, which verified the control performance of this method.
Voltage clamping at low current densities and self-humidification without external humidifiers can be achieved by an exhaust gas recirculation on both sides of the anode and cathode. Based on the simulation model of a dynamic system of nitrogen leakage and water diffusion, a control algorithm for controlling the gas pressure balance and voltage limit of the cathode and anode is proposed, which is further simulated and verified. Test results show that the dynamic performance of the cathode circulation system was satisfying, and the monolithic voltage of the hydrogen fuel cell at low current densities can be controlled below 0.85 V. Through an orthogonal test, it was found that the opening of the intake valve and the rotation speed of the circulating pump were the most important factors to achieve rapid voltage control. Under the active operation of the cathode recirculation system, the maximum humidity of the mixed gas can reach 60%.
A pouch-type lithium-ion battery is formed by stacking many cell units, in which the electrical and thermal behaviors of cell units have a great impact on the battery’s overall safety. To study the relationship between cell units and the battery, a layered multi-dimensional model of a large-capacity pouch-type lithium battery was established by using the porous electrode theory, and the interaction between transient temperature changes and electrochemical reactions was considered. This layered model was used to study the electrochemical and thermal characteristics of the battery during discharging at different temperatures, and a more realistic battery temperature field distribution was obtained. In addition, the uniformity index that characterizes the distribution of the state of charge between different cell units was introduced. Simulation results show that the temperature gradient difference within the battery aggravates the inconsistency of overpotential and current density between different cell units, which is beneficial for further studying the battery’s decay evolution trajectory.
Bipolar plate is the core component of proton exchange membrane fuel cell(PEMFC), and the shape and size of flow channels on the plate directly affect the utilization rate of reaction gas and the drainage and heat dissipation performance of the battery. Based on the working principle for the plate, a novel configuration of differential pressure channel for PEMFC is proposed. The changes in concentration distributions of oxygen and water in the cathode, inlet and outlet pressure differences and flow rate are studied, and the effects of current density and polarization curve on the electrochemical performance of fuel cells are analyzed. With the opening rate of 50%, compared with the simulation results when the widths of 8 groups of low-pressure and high-pressure straight channels increase at the same time, it is found that the peak power density increases by 31.9% when the widths of low-pressure and high-pressure straight channels both decrease from 2.25 to 0.5 mm. The influence of increasing or maintaining one flow channel width while changing the other on the electrochemical performance of the fuel cell is further explored, and results show that when the widths of both the low-pressure and high-pressure straight channels are 1 mm, the peak power density can reach up to 0.39 W/cm2.
To solve the problem of high redundancy and high charging cost of an electric vehicle(EV) battery replacement station, an analysis model for the redundancy of EV battery replacement is established based on edge computing. Combined with the edge computing and cloud computing technologies, an edge computing platform for analyzing the redundancy of EV battery replacement is built. The edge node A is used to collect the information about the EV electricity consumption, and the collected data is further uploaded to the cloud platform. The cloud platform uses the battery charging optimization control model of EV battery replacement to analyze the edge node B associated with the redundancy of EV battery replacement, and an adaptive genetic algorithm is used to solve the proposed model, thus realizing the battery charging optimization of EV battery replacement. Experimental results show that the proposed model can effectively analyze the redundancy of EV battery replacement, and the monthly charging cost of the EV battery replacement station can be reduced by more than 13% when this model is applied to the station.
Aimed at a voltage source converter(VSC) based superconducting magnetic energy storage(SMES) system, an active disturbance rejection control(ADRC) strategy is proposed. First, the mathematical models of AC-side VSC and DC-side chopper of the SMES are established, respectively. Second, based on the nonlinear extended state observer and the linear state error feedback, ADRCs are designed for the AC-side VSC and DC-side chopper of the SMES. Third, the stability of the proposed ADRCs is analyzed by the describing function method. Finally, a simulation model is constructed on the Matlab/Simulink platform. Simulation results show that compared with the traditional PI method, the proposed ADRCs have better dynamic response performance and disturbance rejection characteristics, and they also present a better robustness to uncertain system parameters, which effectively improve the operation reliability of SMES.
The optimal design of a wireless power transfer(WPT) system is conducted from aspects of coil structure and the double-sided LCC compensation topology to achieve the specified output power and the highest transmission efficiency. To study the influence of electromagnetic field on human body in a wireless charging environment, a simulation system of a complete electromagnetic environment including a wireless charging system, an electric vehicle, and human models with vital organs is established. Seven scenarios are simulated, i.e., an adult standing behind the vehicle, an adult sitting in the left front, right front, left rear, and right rear inside the vehicle, respectively, an adult lying at the back of the vehicle, and a child lying at the back of the vehicle(the worst case). Simulation results show that, under the 22 kW high-power wireless charging environment, the heart and lungs of the lying child and the heart of the lying adult suffer from a value which exceeds the basic restriction on the internal electric field value specified by ICNIRP. Due to the shielding of the vehicle shell and the distance between the human body and the Litz wire, the scenarios of sitting inside the vehicle and standing behind the vehicle are safe for people.
Aimed at problems of the traditional direct torque control(DTC) of permanent magnet synchronous motor(PMSM) such as irregular switching frequency, wide frequency range of switching noise and the complex dead-zone compensation algorithm, a predictive DTC method for PMSM based on optimized pulse width modulation(PWM) and dead-zone compensation is proposed in this paper. Based on the known zero-voltage vector, two other effective voltage vectors are selected according to the predicted torque and flux error. At the same time, the back electromotive force and flux-torque coupler are also considered. Afterwards, the torque and flux changes during each sampling period are predicted using the zero-voltage vector and two other effective voltage vectors. The switching periods of the three voltage vectors are determined by the torque and flux errors as well as the predicted torque and flux changes calculated in the previous step. Then, the dead-zone compensation algorithm and improved PWM are used to reduce the dead-zone effect to improve the prediction effect. Finally, the effectiveness and superiority of the proposed method were verified by simulation and experimental results. Results show that the proposed method is significantly better than other methods in terms of torque control and flux control, and the switching loss is greatly reduced.
With the increasing power density in the design of a compact inverter, the electromagnetic compatibility(EMC) problems caused by the rapid switching process of power components are becoming more and more prominent. To make the inverter operate stably under various environmental conditions, EMC design is particularly critical. Aimed at the common-mode interference problem of the inverter, the three paths of common-mode interference conduction are analyzed. Based on the ANSYS electromagnetic simulation platform, the equivalent model of inverter common-mode interference is established, and the propagation channel and action principle of the interference signal are analyzed. The relationship between common-mode interference voltage and parasitic capacitance is obtained. After the verification by experimental results, two effective methods of common-mode suppression by reducing parasitic capacitance are proposed. Conclusions are drawn based on the principle analysis and simulation results, which are further verified by two case studies, providing a practical guidance for the EMC design of inverter and a solution to its common-mode interference problem.
Due to the limited space in trains and ships, the space for interconnecting unshielded cables is very small, causing serious crosstalk problems between unshielded cables. In particular, the crosstalk of a power loop to a signal loop will seriously affect the signal quality and the system’s normal operation. Therefore, it is necessary to estimate the influence of common mode(CM) and differential mode(DM) electromagnetic interference on the signal loop. In this context, a scalable cascaded multi-port network model is proposed, which can accurately model the CM and DM crosstalk between cables and accurately estimate the influence of the power loop on the signal loop. Finally, a test bench was built, and experimental results verified the effectiveness of the proposed method.
Sponsored by: China Power Supply Society Edited by: Editorial Department of JOURNAL OF POWER SUPPLY Distribution in China: Local Post Offices or Online subscription Editor-in-Chief: Han Jiaxin Acting Editor-in-Chief: Ruan Xinbo Editorial Manager: Chen Guozhen CN: 12-1420/TM ISSN: 2095-2805 Postal Code in China: 6-273 International Postal Code: BM8665