Hybrid AC/DC distribution networks are promising candidates for future applications due to their rapid advancement in power electronics technology.They use interface converters(IFCs)to link DC and AC distribution netw...Hybrid AC/DC distribution networks are promising candidates for future applications due to their rapid advancement in power electronics technology.They use interface converters(IFCs)to link DC and AC distribution networks.However,the networks possess drawbacks with AC voltage and frequency offsets when transferring from grid-tied to islanding modes.To address these problems,this paper proposes a simple but effective strategy based on the reverse droop method.Initially,the power balance equation of the distribution system is derived,which reveals that the cause of voltage and frequency offsets is the mismatch between the IFC output power and the rated load power.Then,the reverse droop control is introduced into the IFC controller.By using a voltage-active power/frequency-reactive power(U-P/f-Q)reverse droop loop,the IFC output power enables adaptive tracking of the rated load power.Therefore,the AC voltage offset and frequency offset are suppressed during the transfer process of operational modes.In addition,the universal parameter design method is discussed based on the stability limitations of the control system and the voltage quality requirements of AC critical loads.Finally,simulation and experimental results clearly validate the proposed control strategy and parameter design method.展开更多
The escalating deployment of distributed power sources and random loads in DC distribution networks hasamplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optim...The escalating deployment of distributed power sources and random loads in DC distribution networks hasamplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optimalconfiguration of measurement points, this paper presents an optimal configuration scheme for fault locationmeasurement points in DC distribution networks based on an improved particle swarm optimization algorithm.Initially, a measurement point distribution optimization model is formulated, leveraging compressive sensing.The model aims to achieve the minimum number of measurement points while attaining the best compressivesensing reconstruction effect. It incorporates constraints from the compressive sensing algorithm and networkwide viewability. Subsequently, the traditional particle swarm algorithm is enhanced by utilizing the Haltonsequence for population initialization, generating uniformly distributed individuals. This enhancement reducesindividual search blindness and overlap probability, thereby promoting population diversity. Furthermore, anadaptive t-distribution perturbation strategy is introduced during the particle update process to enhance the globalsearch capability and search speed. The established model for the optimal configuration of measurement points issolved, and the results demonstrate the efficacy and practicality of the proposed method. The optimal configurationreduces the number of measurement points, enhances localization accuracy, and improves the convergence speedof the algorithm. These findings validate the effectiveness and utility of the proposed approach.展开更多
Distributed photovoltaic(PV)is one of the important power sources for building a new power system with new energy as the main body.The rapid development of distributed PV has brought new challenges to the operation of...Distributed photovoltaic(PV)is one of the important power sources for building a new power system with new energy as the main body.The rapid development of distributed PV has brought new challenges to the operation of distribution networks.In order to improve the absorption ability of large-scale distributed PV access to the distribution network,the AC/DC hybrid distribution network is constructed based on flexible interconnection technology,and a coordinated scheduling strategy model of hydrogen energy storage(HS)and distributed PV is established.Firstly,the mathematical model of distributed PV and HS system is established,and a comprehensive energy storage system combining seasonal hydrogen energy storage(SHS)and battery(BT)is proposed.Then,a flexible interconnected distribution network scheduling optimization model is established to minimize the total active power loss,voltage deviation and system operating cost.Finally,simulation analysis is carried out on the improved IEEE33 node,the NSGA-II algorithm is used to solve specific examples,and the optimal scheduling results of the comprehensive economy and power quality of the distribution network are obtained.Compared with the method that does not consider HS and flexible interconnection technology,the network loss and voltage deviation of this method are lower,and the total system cost can be reduced by 3.55%,which verifies the effectiveness of the proposed method.展开更多
The AC/DC hybrid distribution network is one of the trends in distribution network development, which poses great challenges to the traditional distribution transformer. In this paper, a new topology suitable for AC/D...The AC/DC hybrid distribution network is one of the trends in distribution network development, which poses great challenges to the traditional distribution transformer. In this paper, a new topology suitable for AC/DC hybrid distribution network is put forward according to the demands of power grid, with advantages of accepting DG and DC loads, while clearing DC fault by blocking the clamping double sub-module(CDSM) of input stage. Then, this paper shows the typical structure of AC/DC distribution network that is hand in hand. Based on the new topology, this paper designs the control and modulation strategies of each stage, where the outer loop controller of input stage is emphasized for its twocontrol mode. At last, the rationality of new topology and the validity of control strategies are verified by the steady and dynamic state simulation. At the same time, the simulation results highlight the role of PET in energy regulation.展开更多
A novel operation control method for relay protection in flexible DC distribution networks with distributed power supply is proposed to address the issue of inaccurate fault location during relay protection,leading to...A novel operation control method for relay protection in flexible DC distribution networks with distributed power supply is proposed to address the issue of inaccurate fault location during relay protection,leading to poor performance.The method combines a fault-tolerant fault location method based on long-term and short-term memory networks to accurately locate the fault section.Then,an operation control method for relay protection based on adaptive weight and whale optimization algorithm(WOA)is used to construct an objective function considering the shortest relay protection action time and the smallest impulse current.The adaptive weight and WOA are employed to obtain the optimal strategy for relay protection operation control,reducing the action time and impulse current.Experimental results demonstrate the effectiveness of the proposed method in accurately locating faults and improving relay protection performance.The longest operation time is reduced by 4.7023 s,and the maximum impulse current is limited to 0.3 A,effectively controlling the impact of large impulse currents and enhancing control efficiency.展开更多
ADC distribution network is an effective solution for increasing renewable energy utilization with distinct benefits,such as high efficiency and easy control.However,a sudden increase in the current after the occurren...ADC distribution network is an effective solution for increasing renewable energy utilization with distinct benefits,such as high efficiency and easy control.However,a sudden increase in the current after the occurrence of faults in the network may adversely affect network stability.This study proposes an artificial neural network(ANN)-based fault detection and protection method for DC distribution networks.The ANN is applied to a classifier for different faults ontheDC line.The backpropagationneuralnetwork is used to predict the line current,and the fault detection threshold is obtained on the basis of the difference between the predicted current and the actual current.The proposed method only uses local signals,with no requirement of a strict communication link.Simulation experiments are conducted for the proposed algorithm on a two-terminal DC distribution network modeled in the PSCAD/EMTDC and developed on the MATLAB platform.The results confirm that the proposed method can accurately detect and classify line faults within a few milliseconds and is not affected by fault locations,fault resistance,noise,and communication delay.展开更多
The large-scale integration of DC loads,such as electric vehicles and air conditioners,has increased the peak demand of the distribution network.Therefore,this paper proposes a load peak shaving operation management m...The large-scale integration of DC loads,such as electric vehicles and air conditioners,has increased the peak demand of the distribution network.Therefore,this paper proposes a load peak shaving operation management model based on interactive games among multi-stakeholders(e.g.,distribution network operator,energy storage owner and electric vehicle users)in an AC/DC hybrid distribution network.The supply and demand balance among multiple AC networks can be realized through the DC network with the help of electric vehicles and energy storage when the distribution network operator adjusts the time-of-use electricity price in the peak shaving management model.Distribution network operators aim at minimizing the peak-to-valley difference and maximizing the operation revenue while the energy storage owner and electric vehicle users seek for the greatest benefits in the interactive game process.The above game model is constructed in a master-slave framework,where the existence and uniqueness of the game equilibrium is also proved.Finally,the numerical results show that the proposed operation management model can effectively reduce the peak-to-valley differences while ensuring the best interests of all stakeholders.展开更多
The DC distribution network system equipped with a large number of power electronic equipment exhibits weak damping characteristics and is prone to low-frequency and high-frequency unstable oscillations.The current in...The DC distribution network system equipped with a large number of power electronic equipment exhibits weak damping characteristics and is prone to low-frequency and high-frequency unstable oscillations.The current interpretation of the oscillation mechanism has not been unified.Firstly,this paper established the complete statespace model of the distribution system consisting of a large number of electric vehicles,characteristic equation of the distribution network system is derived by establishing a state-space model,and simplified reduced-order equations describing the low-frequency oscillation and the high-frequency oscillation are obtained.Secondly,based on eigenvalue analysis,the oscillation modes and the influence of the key system parameters on the oscillation mode are studied.Besides,impacts of key factors,such as distribution network connection topology and number of dynamic loads,have been discussed to suppress oscillatory instability caused by inappropriate design or dynamic interactions.Finally,using the DC distribution example system,through model calculation and time-domain simulation analysis,the correctness of the aforementioned analysis is verified.展开更多
The multi-voltage-level DC distribution network(MVL-DC-DN)is a promising network for efficiently integrat ing rapidly growing DC loads,and fast-growing load demand would bring a challenge to the MVL-DC-DN in terms of ...The multi-voltage-level DC distribution network(MVL-DC-DN)is a promising network for efficiently integrat ing rapidly growing DC loads,and fast-growing load demand would bring a challenge to the MVL-DC-DN in terms of the maximum loadability.This paper considers the DC electric spring(DC-ES)as a novel candidate flexible resource for en hancing the maximum loadability of the MVL-DC-DN,and pro poses an evaluation method for the maximum loadability.First ly,with the consideration of device constraints,the impact that the DC-ES on the maximum loadability of the DC distribution network(DC-DN)is analyzed via a simplified equivalent cir cuit.Subsequently,the power flow(PF)model of an MVL-DCDN with DC-ESs is established.Finally,a method based on con tinuation power flow(CPF)for evaluating the maximum load ability of an MVL-DC-DN with DC-ESs is proposed.During the evaluation,limitations of the DC-ES and the DC transform er(DCT)are considered.The consideration of the practical con straints avoids the overestimation of the maximum loadability.The case study verifies the effectiveness of the proposed method.展开更多
Optimal Power Flow (OPF) plays a crucial role in optimization and operation of the bipolar DC distribution network (Bi-DCDN). However, existing OPF models encounter difficulties in the power optimization of Bi-DCDNs d...Optimal Power Flow (OPF) plays a crucial role in optimization and operation of the bipolar DC distribution network (Bi-DCDN). However, existing OPF models encounter difficulties in the power optimization of Bi-DCDNs due to the optimal power expressed as a product form, i.e., the product of voltage and current. Hence, this brief formulates the OPF problem of Bi-DCDNs using the branch flow model (BFM). The BFM employs power, instead of current, to account for the unique structure of Bi-DCDNs. Convex relaxation and linear approximation are sequentially applied to reformulate the BFM-based OPF, presenting it as a second-order cone programming (SOCP) problem. Further, the effectiveness of the proposed OPF model is verified in case studies. The numerical results demonstrate that the BFM-based OPF is a feasible and promising approach for Bi-DCDNs.展开更多
GaN （gallium nitride） buck-rectifier has been proposed to realize high power density ISOP （input series and output parallel）-IPOS （input parallel and output series） converter-based dc distribution system. The ul...GaN （gallium nitride） buck-rectifier has been proposed to realize high power density ISOP （input series and output parallel）-IPOS （input parallel and output series） converter-based dc distribution system. The ultra-low loss bi-directional switch can be developed by the GaN power device because of the low on-resistance, the high-speed switching behavior and its own device structure. The buck-rectifier using the GaN bi-directional switches has the potential to achieve higher power density than the commonly utilized boost-rectifier. Availability of the GaN-HEMT （high electron mobility transistor） for the buck rectifier has been verified taking the theoretical limit of the on-resistance and the switching loss energy into account. Design consideration for a high power density buck-rectifier has been also conducted and the application effect of the GaN bidirectional switches has been evaluated quantitatively. The ISOP-IPOS converter-based dc （direct current） distribution system takes full advantage of the buck-rectifier and the rectifier using GaN devices contributes to realizing higher power density dc distribution system.展开更多
火电厂分布式控制系统(Distributed Control System,DCS)在机组控制与安全运行中依赖稳定的通信网络,而通信延迟易引发控制响应滞后与数据异常,影响运行可靠性。通过分析通信延迟问题,提出网络设备升级、系统配置优化及环境防干扰等解...火电厂分布式控制系统(Distributed Control System,DCS)在机组控制与安全运行中依赖稳定的通信网络,而通信延迟易引发控制响应滞后与数据异常,影响运行可靠性。通过分析通信延迟问题,提出网络设备升级、系统配置优化及环境防干扰等解决方案,并验证其实施效果,提出一系列优化策略。研究为提升火电厂DCS系统通信实时性与稳定性提供了工程参考与应用价值。展开更多
该文提出一种基于双辅助网络(dual auxiliary network,DAN)的宽软开关范围周波变换类型的高频链逆变(cycloconverter-type high frequency link inverter,CHFLI)电路,简称DAN-CHFLI电路。原边侧采用对称型无源辅助网络(passive auxiliar...该文提出一种基于双辅助网络(dual auxiliary network,DAN)的宽软开关范围周波变换类型的高频链逆变(cycloconverter-type high frequency link inverter,CHFLI)电路,简称DAN-CHFLI电路。原边侧采用对称型无源辅助网络(passive auxiliary network,PAN)解决了传统CHFLI电路在空载、轻载及输出电压较小时原边侧开关管无法实现软开关的问题,拓宽了软开关范围,保证了其在任意负载条件下的零电压导通(zero voltage switching,ZVS)。副边侧有源辅助网络(active auxiliary network,AAN)由钳位电容和H桥组成,可以解决漏感与开关管寄生电容谐振造成的电压振荡问题,并辅助周波变换器换流。针对AAN电路,提出一种移相钳位策略:AAN开关管与原边开关管类似,也采用固定占空比方波信号移相调制;且相比原边开关管,AAN开关管延迟导通以实现软开关。文中详细分析了DAN-CHFLI拓扑结构、换流过程、PAN和AAN工作原理及开关管的软开关特性,并设计实验样机验证了理论分析的正确性。展开更多
基金This work was supported by the National Key R&D Program of China(2018YFB0904700).
文摘Hybrid AC/DC distribution networks are promising candidates for future applications due to their rapid advancement in power electronics technology.They use interface converters(IFCs)to link DC and AC distribution networks.However,the networks possess drawbacks with AC voltage and frequency offsets when transferring from grid-tied to islanding modes.To address these problems,this paper proposes a simple but effective strategy based on the reverse droop method.Initially,the power balance equation of the distribution system is derived,which reveals that the cause of voltage and frequency offsets is the mismatch between the IFC output power and the rated load power.Then,the reverse droop control is introduced into the IFC controller.By using a voltage-active power/frequency-reactive power(U-P/f-Q)reverse droop loop,the IFC output power enables adaptive tracking of the rated load power.Therefore,the AC voltage offset and frequency offset are suppressed during the transfer process of operational modes.In addition,the universal parameter design method is discussed based on the stability limitations of the control system and the voltage quality requirements of AC critical loads.Finally,simulation and experimental results clearly validate the proposed control strategy and parameter design method.
基金the National Natural Science Foundation of China(52177074).
文摘The escalating deployment of distributed power sources and random loads in DC distribution networks hasamplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optimalconfiguration of measurement points, this paper presents an optimal configuration scheme for fault locationmeasurement points in DC distribution networks based on an improved particle swarm optimization algorithm.Initially, a measurement point distribution optimization model is formulated, leveraging compressive sensing.The model aims to achieve the minimum number of measurement points while attaining the best compressivesensing reconstruction effect. It incorporates constraints from the compressive sensing algorithm and networkwide viewability. Subsequently, the traditional particle swarm algorithm is enhanced by utilizing the Haltonsequence for population initialization, generating uniformly distributed individuals. This enhancement reducesindividual search blindness and overlap probability, thereby promoting population diversity. Furthermore, anadaptive t-distribution perturbation strategy is introduced during the particle update process to enhance the globalsearch capability and search speed. The established model for the optimal configuration of measurement points issolved, and the results demonstrate the efficacy and practicality of the proposed method. The optimal configurationreduces the number of measurement points, enhances localization accuracy, and improves the convergence speedof the algorithm. These findings validate the effectiveness and utility of the proposed approach.
文摘Distributed photovoltaic(PV)is one of the important power sources for building a new power system with new energy as the main body.The rapid development of distributed PV has brought new challenges to the operation of distribution networks.In order to improve the absorption ability of large-scale distributed PV access to the distribution network,the AC/DC hybrid distribution network is constructed based on flexible interconnection technology,and a coordinated scheduling strategy model of hydrogen energy storage(HS)and distributed PV is established.Firstly,the mathematical model of distributed PV and HS system is established,and a comprehensive energy storage system combining seasonal hydrogen energy storage(SHS)and battery(BT)is proposed.Then,a flexible interconnected distribution network scheduling optimization model is established to minimize the total active power loss,voltage deviation and system operating cost.Finally,simulation analysis is carried out on the improved IEEE33 node,the NSGA-II algorithm is used to solve specific examples,and the optimal scheduling results of the comprehensive economy and power quality of the distribution network are obtained.Compared with the method that does not consider HS and flexible interconnection technology,the network loss and voltage deviation of this method are lower,and the total system cost can be reduced by 3.55%,which verifies the effectiveness of the proposed method.
基金supported by National Key Research and Development Program of China (2016YFB0900500,2017YFB0903100)the State Grid Science and Technology Project (SGRI-DL-F1-51-011)
文摘The AC/DC hybrid distribution network is one of the trends in distribution network development, which poses great challenges to the traditional distribution transformer. In this paper, a new topology suitable for AC/DC hybrid distribution network is put forward according to the demands of power grid, with advantages of accepting DG and DC loads, while clearing DC fault by blocking the clamping double sub-module(CDSM) of input stage. Then, this paper shows the typical structure of AC/DC distribution network that is hand in hand. Based on the new topology, this paper designs the control and modulation strategies of each stage, where the outer loop controller of input stage is emphasized for its twocontrol mode. At last, the rationality of new topology and the validity of control strategies are verified by the steady and dynamic state simulation. At the same time, the simulation results highlight the role of PET in energy regulation.
文摘A novel operation control method for relay protection in flexible DC distribution networks with distributed power supply is proposed to address the issue of inaccurate fault location during relay protection,leading to poor performance.The method combines a fault-tolerant fault location method based on long-term and short-term memory networks to accurately locate the fault section.Then,an operation control method for relay protection based on adaptive weight and whale optimization algorithm(WOA)is used to construct an objective function considering the shortest relay protection action time and the smallest impulse current.The adaptive weight and WOA are employed to obtain the optimal strategy for relay protection operation control,reducing the action time and impulse current.Experimental results demonstrate the effectiveness of the proposed method in accurately locating faults and improving relay protection performance.The longest operation time is reduced by 4.7023 s,and the maximum impulse current is limited to 0.3 A,effectively controlling the impact of large impulse currents and enhancing control efficiency.
基金supported by National High-tech Research and Development Program of China（863 Program）（2009AA04Z416） National Science Foundation of China（51021005） Scientific Innovation of Colleges and Universities（Project v-200704）
基金supported by Key Natural Science Research Projects of Colleges and Universities in Anhui Province(No.2022AH051831).
文摘ADC distribution network is an effective solution for increasing renewable energy utilization with distinct benefits,such as high efficiency and easy control.However,a sudden increase in the current after the occurrence of faults in the network may adversely affect network stability.This study proposes an artificial neural network(ANN)-based fault detection and protection method for DC distribution networks.The ANN is applied to a classifier for different faults ontheDC line.The backpropagationneuralnetwork is used to predict the line current,and the fault detection threshold is obtained on the basis of the difference between the predicted current and the actual current.The proposed method only uses local signals,with no requirement of a strict communication link.Simulation experiments are conducted for the proposed algorithm on a two-terminal DC distribution network modeled in the PSCAD/EMTDC and developed on the MATLAB platform.The results confirm that the proposed method can accurately detect and classify line faults within a few milliseconds and is not affected by fault locations,fault resistance,noise,and communication delay.
基金supported by the National Key R&D Program of China(Grant No.2019YFE0123600)the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(Grant No.LAPS21005)National Natural Science Foundation of China(Grant No.52077146).
文摘The large-scale integration of DC loads,such as electric vehicles and air conditioners,has increased the peak demand of the distribution network.Therefore,this paper proposes a load peak shaving operation management model based on interactive games among multi-stakeholders(e.g.,distribution network operator,energy storage owner and electric vehicle users)in an AC/DC hybrid distribution network.The supply and demand balance among multiple AC networks can be realized through the DC network with the help of electric vehicles and energy storage when the distribution network operator adjusts the time-of-use electricity price in the peak shaving management model.Distribution network operators aim at minimizing the peak-to-valley difference and maximizing the operation revenue while the energy storage owner and electric vehicle users seek for the greatest benefits in the interactive game process.The above game model is constructed in a master-slave framework,where the existence and uniqueness of the game equilibrium is also proved.Finally,the numerical results show that the proposed operation management model can effectively reduce the peak-to-valley differences while ensuring the best interests of all stakeholders.
基金supported by the State Grid Shandong Electric Power Company Economic and Technical Research Institute Project(Grant No.SGSDJY00GPJS2100135).
文摘The DC distribution network system equipped with a large number of power electronic equipment exhibits weak damping characteristics and is prone to low-frequency and high-frequency unstable oscillations.The current interpretation of the oscillation mechanism has not been unified.Firstly,this paper established the complete statespace model of the distribution system consisting of a large number of electric vehicles,characteristic equation of the distribution network system is derived by establishing a state-space model,and simplified reduced-order equations describing the low-frequency oscillation and the high-frequency oscillation are obtained.Secondly,based on eigenvalue analysis,the oscillation modes and the influence of the key system parameters on the oscillation mode are studied.Besides,impacts of key factors,such as distribution network connection topology and number of dynamic loads,have been discussed to suppress oscillatory instability caused by inappropriate design or dynamic interactions.Finally,using the DC distribution example system,through model calculation and time-domain simulation analysis,the correctness of the aforementioned analysis is verified.
基金supported in part by the National Natural Science Foundation of China(No.52077017).
文摘The multi-voltage-level DC distribution network(MVL-DC-DN)is a promising network for efficiently integrat ing rapidly growing DC loads,and fast-growing load demand would bring a challenge to the MVL-DC-DN in terms of the maximum loadability.This paper considers the DC electric spring(DC-ES)as a novel candidate flexible resource for en hancing the maximum loadability of the MVL-DC-DN,and pro poses an evaluation method for the maximum loadability.First ly,with the consideration of device constraints,the impact that the DC-ES on the maximum loadability of the DC distribution network(DC-DN)is analyzed via a simplified equivalent cir cuit.Subsequently,the power flow(PF)model of an MVL-DCDN with DC-ESs is established.Finally,a method based on con tinuation power flow(CPF)for evaluating the maximum load ability of an MVL-DC-DN with DC-ESs is proposed.During the evaluation,limitations of the DC-ES and the DC transform er(DCT)are considered.The consideration of the practical con straints avoids the overestimation of the maximum loadability.The case study verifies the effectiveness of the proposed method.
文摘Optimal Power Flow (OPF) plays a crucial role in optimization and operation of the bipolar DC distribution network (Bi-DCDN). However, existing OPF models encounter difficulties in the power optimization of Bi-DCDNs due to the optimal power expressed as a product form, i.e., the product of voltage and current. Hence, this brief formulates the OPF problem of Bi-DCDNs using the branch flow model (BFM). The BFM employs power, instead of current, to account for the unique structure of Bi-DCDNs. Convex relaxation and linear approximation are sequentially applied to reformulate the BFM-based OPF, presenting it as a second-order cone programming (SOCP) problem. Further, the effectiveness of the proposed OPF model is verified in case studies. The numerical results demonstrate that the BFM-based OPF is a feasible and promising approach for Bi-DCDNs.
文摘GaN （gallium nitride） buck-rectifier has been proposed to realize high power density ISOP （input series and output parallel）-IPOS （input parallel and output series） converter-based dc distribution system. The ultra-low loss bi-directional switch can be developed by the GaN power device because of the low on-resistance, the high-speed switching behavior and its own device structure. The buck-rectifier using the GaN bi-directional switches has the potential to achieve higher power density than the commonly utilized boost-rectifier. Availability of the GaN-HEMT （high electron mobility transistor） for the buck rectifier has been verified taking the theoretical limit of the on-resistance and the switching loss energy into account. Design consideration for a high power density buck-rectifier has been also conducted and the application effect of the GaN bidirectional switches has been evaluated quantitatively. The ISOP-IPOS converter-based dc （direct current） distribution system takes full advantage of the buck-rectifier and the rectifier using GaN devices contributes to realizing higher power density dc distribution system.
文摘火电厂分布式控制系统(Distributed Control System,DCS)在机组控制与安全运行中依赖稳定的通信网络,而通信延迟易引发控制响应滞后与数据异常,影响运行可靠性。通过分析通信延迟问题,提出网络设备升级、系统配置优化及环境防干扰等解决方案,并验证其实施效果,提出一系列优化策略。研究为提升火电厂DCS系统通信实时性与稳定性提供了工程参考与应用价值。
文摘该文提出一种基于双辅助网络(dual auxiliary network,DAN)的宽软开关范围周波变换类型的高频链逆变(cycloconverter-type high frequency link inverter,CHFLI)电路,简称DAN-CHFLI电路。原边侧采用对称型无源辅助网络(passive auxiliary network,PAN)解决了传统CHFLI电路在空载、轻载及输出电压较小时原边侧开关管无法实现软开关的问题,拓宽了软开关范围,保证了其在任意负载条件下的零电压导通(zero voltage switching,ZVS)。副边侧有源辅助网络(active auxiliary network,AAN)由钳位电容和H桥组成,可以解决漏感与开关管寄生电容谐振造成的电压振荡问题,并辅助周波变换器换流。针对AAN电路,提出一种移相钳位策略:AAN开关管与原边开关管类似,也采用固定占空比方波信号移相调制;且相比原边开关管,AAN开关管延迟导通以实现软开关。文中详细分析了DAN-CHFLI拓扑结构、换流过程、PAN和AAN工作原理及开关管的软开关特性,并设计实验样机验证了理论分析的正确性。
