In contemporary medium-voltage distribution networks heavily penetrated by distributed energy resources(DERs),the harmonic components injected by power-electronic interfacing converters,together with the inherently in...In contemporary medium-voltage distribution networks heavily penetrated by distributed energy resources(DERs),the harmonic components injected by power-electronic interfacing converters,together with the inherently intermittent output of renewable generation,distort the zero-sequence current and continuously reshape its frequency spectrum.As a result,single-line-to-ground(SLG)faults exhibit a pronounced,strongly non-stationary behaviour that varies with operating point,load mix and DER dispatch.Under such circumstances the performance of traditional rule-based algorithms—or methods that rely solely on steady-state frequency-domain indicators—degrades sharply,and they no longer satisfy the accuracy and universality required by practical protection systems.To overcome these shortcomings,the present study develops an SLG-fault identification scheme that transforms the zero-sequence currentwaveforminto two-dimensional image representations and processes themwith a convolutional neural network(CNN).First,the causes of sample-distribution imbalance are analysed in detail by considering different neutralgrounding configurations,fault-inception mechanisms and the statistical probability of fault occurrence on each phase.Building on these insights,a discriminator network incorporating a Convolutional Block Attention Module(CBAM)is designed to autonomously extract multi-layer spatial-spectral features,while Gradient-weighted Class Activation Mapping(Grad-CAM)is employed to visualise the contribution of every salient image region,thereby enhancing interpretability.A comprehensive simulation platform is subsequently established for a DER-rich distribution system encompassing several representative topologies,feeder lengths and DER penetration levels.Large numbers of realistic SLG-fault scenarios are generated—including noise and measurement uncertainty—and are used to train,validate and test the proposed model.Extensive simulation campaigns,corroborated by field measurements from an actual utility network,demonstrate that the proposed approach attains an SLG-fault identification accuracy approaching 100 percent and maintains robust performance under severe noise conditions,confirming its suitability for real-world engineering applications.展开更多
In order to increase the stability of the Mongolia power system, a single-phase automatic reclosing device (SPAR) was introduced on double-circuit power lines built with a size of 330 kV, operating on a voltage of 220...In order to increase the stability of the Mongolia power system, a single-phase automatic reclosing device (SPAR) was introduced on double-circuit power lines built with a size of 330 kV, operating on a voltage of 220 kV and a length of 250 km. These overhead power lines (L-213, L-214) connect the 220/110/35 kV “Songino” substation with the “Mandal” substation and form system networks. This paper presents the challenges encountered when implementing single-phase automatic reclosing (SPAR) devices and compares the changes in power system parameters before and after SPAR deployment for a long 220 kV line. Simulations and analyses were carried out using DIgSILENT PowerFactory software, focusing on rotor angle stability, and the overall impact on the power system during short-circuit faults. The evaluation also utilized measurement data from the Wide Area Monitoring System (WAMS) to compare system behavior pre- and post-implementation of SPAR. The findings reveal that SPAR significantly enhances system reliability and stability, effectively mitigating the risk of oscillations and stability loss triggered by short circuits. This improvement contributes to a more resilient power system, reducing the potential for disturbances caused by faults.展开更多
随着风电、光伏的不断接入,电网电压支撑能力不足等问题愈发严重,在新能源场站中配置静止无功发生器(static var generator,SVG)是解决上述问题的有效手段之一。传统跟网型SVG采用低带宽电压控制,难以满足宽频带下的电压支撑需求,而构网...随着风电、光伏的不断接入,电网电压支撑能力不足等问题愈发严重,在新能源场站中配置静止无功发生器(static var generator,SVG)是解决上述问题的有效手段之一。传统跟网型SVG采用低带宽电压控制,难以满足宽频带下的电压支撑需求,而构网型SVG具有理想的电压源特性,近年来受到广泛关注。然而,构网型SVG在模拟同步发电机同步特性的同时,存在大扰动下暂态功角失稳的风险。为此,在新能源联合送出系统控制结构的基础上,建立了基于直流电容动态方程的构网型SVG同步分析模型。其次,解析了新能源联合送出系统等效分析模型的功角特性,揭示了新能源动态影响下系统的暂态功角失稳机理。进一步,提出一种基于自适应功角补偿原理的稳定增强型自同步控制策略,可有效提升系统的暂态稳定性能。最后,通过数字仿真和RT-LAB硬件仿真验证了机理分析的正确性和稳定提升策略的有效性。展开更多
为提高风电场的低-高电压连续故障穿越能力,提出一种基于虚拟磁链的静止无功发生器(static var generator,SVG)控制策略。首先,分析双馈感应发电机、调相机和SVG对暂态电压的支撑效果;其次,建立同步调相机与SVG的暂态无功响应模型,明确...为提高风电场的低-高电压连续故障穿越能力,提出一种基于虚拟磁链的静止无功发生器(static var generator,SVG)控制策略。首先,分析双馈感应发电机、调相机和SVG对暂态电压的支撑效果;其次,建立同步调相机与SVG的暂态无功响应模型,明确磁链不突变是两者暂态电压支撑差异的关键因素;再次,将调相机磁链守恒性质叠加到SVG暂态响应特性中,提出基于虚拟磁链的SVG控制策略,并调整控制器参数,确保SVG的无功响应能力最大化;最后,通过仿真验证提出的SVG控制策略对暂态低电压的支撑和过电压的抑制都有良好效果,能够提高风电机组的故障穿越能力。展开更多
随着新能源占比的大幅提升以及发、输、用电各环节电力电子设备所占比重的不断提高,高比例新能源电网由于缺乏传统常规同步发电机等主动支撑型电压源,系统短路容量、转动惯量下降,频率、电压稳定问题频发,电网稳定性问题日益凸显。对此...随着新能源占比的大幅提升以及发、输、用电各环节电力电子设备所占比重的不断提高,高比例新能源电网由于缺乏传统常规同步发电机等主动支撑型电压源,系统短路容量、转动惯量下降,频率、电压稳定问题频发,电网稳定性问题日益凸显。对此,重点围绕构网型静止无功发生器(static var generator,SVG)进行研究。在构网型SVG仿真分析的基础上,开展新疆电网220 kV风电汇集站构网型SVG人工三相短路试验,系统性地验证了构网型SVG的同步电压支撑、暂态瞬时响应、3倍10 s的过载能力,并总结了计算值与实测值存在误差的影响因素。试验达到了预期的目的和效果,试验表明,构网SVG在短路故障期间,能保持一定的构网特性,具有良好的系统支撑能力。展开更多
This paper proposes and implements a model-free open-loop iterative learning control(ILC)strategy to realize the speed control of the single-phase flux switching motor(FSM)with an asymmetrical rotor.Base on the propos...This paper proposes and implements a model-free open-loop iterative learning control(ILC)strategy to realize the speed control of the single-phase flux switching motor(FSM)with an asymmetrical rotor.Base on the proposed winding control method,the asymmetrical rotor enables the motor to generate continuous positive torque for positive rotation,and relatively small resistance torque for negative rotation.An initial iteration coefficient and variable iteration coefficient optimized scheme was proposed based on the characteristics of the hardware circuit,thereby forming the model-free strategy.A series of prototype experiments was carried out.Experimental results verify the effectiveness and practicability of the proposed ILC strategy.展开更多
为了有效降低电能损耗,研究提出了基于SVG(Static Var Generator,静止无功发生器)的煤矿供电系统节能优化策略。该策略通过SVG无功补偿技术,实时监测并调整供电系统的无功功率,有效提升了系统的功率因数,从而降低了因无功功率流动而产...为了有效降低电能损耗,研究提出了基于SVG(Static Var Generator,静止无功发生器)的煤矿供电系统节能优化策略。该策略通过SVG无功补偿技术,实时监测并调整供电系统的无功功率,有效提升了系统的功率因数,从而降低了因无功功率流动而产生的电能损耗。最后通过实例验证了该策略在降低煤矿供电系统电能损耗方面的显著成效。展开更多
针对风电高电压穿越(high voltage ride through,HVRT)能力不足导致风电机组脱网的问题,详细阐述了直流故障引起并网点电压升高最终导致风电机组脱网的内在机理,分析了储能系统和静止无功补偿装置(static var generator,SVG)在HVRT期间...针对风电高电压穿越(high voltage ride through,HVRT)能力不足导致风电机组脱网的问题,详细阐述了直流故障引起并网点电压升高最终导致风电机组脱网的内在机理,分析了储能系统和静止无功补偿装置(static var generator,SVG)在HVRT期间的动态无功响应特性;通过对并网点电压进行实时监测,高电压穿越期间可将控制策略优先级分解为:风电场内部无功调节(储能系统和双馈异步风力发电机(doubly fed induction generator,DFIG)协同控制)、SVG无功调节。在此基础上,提出了一种储能系统、DFIG和SVG协同控制策略来提高风电场HVRT能力,同时对故障切除后存在的不利情况进行重新设置电压参考值环节,避免了不必要的无功流动。最后,基于MATLAB/Simulink平台搭建仿真模型,验证了理论分析与控制策略的正确性与有效性。研究结果对充分挖掘风电场自身无功调节能力,极大程度减轻SVG无功补偿负担提供了新思路。展开更多
风电场站配置一定容量的无功补偿装置(如静止无功发生器(static var generator,SVG))可以提高风电外送能力。同时为了满足风电场站对于惯量和电压支撑的要求,SVG可以在直流侧集成功率型储能元件同时采用构网型控制。然而由于风电场出力...风电场站配置一定容量的无功补偿装置(如静止无功发生器(static var generator,SVG))可以提高风电外送能力。同时为了满足风电场站对于惯量和电压支撑的要求,SVG可以在直流侧集成功率型储能元件同时采用构网型控制。然而由于风电场出力的影响,构网型SVG存在着暂态同步失稳的风险。针对此问题,首先通过对构网型SVG接入风电场站的并网系统进行化简等效,得到构网型SVG的功角曲线。然后,利用等面积法则揭示风电场站中构网型SVG的失稳机理,并给出相应的稳定判据。进一步,提出一种基于惯量和阻尼系数协调自适应的暂态同步稳定性提升方法。在判断SVG发生暂态同步失稳时自适应改变惯量和阻尼系数,强迫SVG回到稳定平衡点。该方法可以提高构网型SVG的暂态同步稳定性,有利于风电外送能力的提升。最后在PSCAD/EMTDC中建立电磁暂态仿真模型,验证了构网型SVG失稳机理的正确性以及暂态同步稳定性提升方法的有效性。展开更多
本文介绍了新风光高压SVG系统在充州矿业股份有限公司某煤矿的应用,SVG英文全称为static var generator即静止无功发生器,又称动态无功补偿发生装置,是指由自换相的电力半导体桥式变流器来进行动态无功补偿的装置。从矿业系统电网的无...本文介绍了新风光高压SVG系统在充州矿业股份有限公司某煤矿的应用,SVG英文全称为static var generator即静止无功发生器,又称动态无功补偿发生装置,是指由自换相的电力半导体桥式变流器来进行动态无功补偿的装置。从矿业系统电网的无功补偿及谐波治理方面阐述了SVG系统在稳定电网电压、提高功率因数、补偿谐波等方面的独特优势,展示了动态无功补偿装置SVG在煤矿系统的应用前景。展开更多
基金supported by the Science and Technology Program of China Southern Power Grid(031800KC23120003).
文摘In contemporary medium-voltage distribution networks heavily penetrated by distributed energy resources(DERs),the harmonic components injected by power-electronic interfacing converters,together with the inherently intermittent output of renewable generation,distort the zero-sequence current and continuously reshape its frequency spectrum.As a result,single-line-to-ground(SLG)faults exhibit a pronounced,strongly non-stationary behaviour that varies with operating point,load mix and DER dispatch.Under such circumstances the performance of traditional rule-based algorithms—or methods that rely solely on steady-state frequency-domain indicators—degrades sharply,and they no longer satisfy the accuracy and universality required by practical protection systems.To overcome these shortcomings,the present study develops an SLG-fault identification scheme that transforms the zero-sequence currentwaveforminto two-dimensional image representations and processes themwith a convolutional neural network(CNN).First,the causes of sample-distribution imbalance are analysed in detail by considering different neutralgrounding configurations,fault-inception mechanisms and the statistical probability of fault occurrence on each phase.Building on these insights,a discriminator network incorporating a Convolutional Block Attention Module(CBAM)is designed to autonomously extract multi-layer spatial-spectral features,while Gradient-weighted Class Activation Mapping(Grad-CAM)is employed to visualise the contribution of every salient image region,thereby enhancing interpretability.A comprehensive simulation platform is subsequently established for a DER-rich distribution system encompassing several representative topologies,feeder lengths and DER penetration levels.Large numbers of realistic SLG-fault scenarios are generated—including noise and measurement uncertainty—and are used to train,validate and test the proposed model.Extensive simulation campaigns,corroborated by field measurements from an actual utility network,demonstrate that the proposed approach attains an SLG-fault identification accuracy approaching 100 percent and maintains robust performance under severe noise conditions,confirming its suitability for real-world engineering applications.
文摘In order to increase the stability of the Mongolia power system, a single-phase automatic reclosing device (SPAR) was introduced on double-circuit power lines built with a size of 330 kV, operating on a voltage of 220 kV and a length of 250 km. These overhead power lines (L-213, L-214) connect the 220/110/35 kV “Songino” substation with the “Mandal” substation and form system networks. This paper presents the challenges encountered when implementing single-phase automatic reclosing (SPAR) devices and compares the changes in power system parameters before and after SPAR deployment for a long 220 kV line. Simulations and analyses were carried out using DIgSILENT PowerFactory software, focusing on rotor angle stability, and the overall impact on the power system during short-circuit faults. The evaluation also utilized measurement data from the Wide Area Monitoring System (WAMS) to compare system behavior pre- and post-implementation of SPAR. The findings reveal that SPAR significantly enhances system reliability and stability, effectively mitigating the risk of oscillations and stability loss triggered by short circuits. This improvement contributes to a more resilient power system, reducing the potential for disturbances caused by faults.
文摘随着风电、光伏的不断接入,电网电压支撑能力不足等问题愈发严重,在新能源场站中配置静止无功发生器(static var generator,SVG)是解决上述问题的有效手段之一。传统跟网型SVG采用低带宽电压控制,难以满足宽频带下的电压支撑需求,而构网型SVG具有理想的电压源特性,近年来受到广泛关注。然而,构网型SVG在模拟同步发电机同步特性的同时,存在大扰动下暂态功角失稳的风险。为此,在新能源联合送出系统控制结构的基础上,建立了基于直流电容动态方程的构网型SVG同步分析模型。其次,解析了新能源联合送出系统等效分析模型的功角特性,揭示了新能源动态影响下系统的暂态功角失稳机理。进一步,提出一种基于自适应功角补偿原理的稳定增强型自同步控制策略,可有效提升系统的暂态稳定性能。最后,通过数字仿真和RT-LAB硬件仿真验证了机理分析的正确性和稳定提升策略的有效性。
文摘为提高风电场的低-高电压连续故障穿越能力,提出一种基于虚拟磁链的静止无功发生器(static var generator,SVG)控制策略。首先,分析双馈感应发电机、调相机和SVG对暂态电压的支撑效果;其次,建立同步调相机与SVG的暂态无功响应模型,明确磁链不突变是两者暂态电压支撑差异的关键因素;再次,将调相机磁链守恒性质叠加到SVG暂态响应特性中,提出基于虚拟磁链的SVG控制策略,并调整控制器参数,确保SVG的无功响应能力最大化;最后,通过仿真验证提出的SVG控制策略对暂态低电压的支撑和过电压的抑制都有良好效果,能够提高风电机组的故障穿越能力。
文摘随着新能源占比的大幅提升以及发、输、用电各环节电力电子设备所占比重的不断提高,高比例新能源电网由于缺乏传统常规同步发电机等主动支撑型电压源,系统短路容量、转动惯量下降,频率、电压稳定问题频发,电网稳定性问题日益凸显。对此,重点围绕构网型静止无功发生器(static var generator,SVG)进行研究。在构网型SVG仿真分析的基础上,开展新疆电网220 kV风电汇集站构网型SVG人工三相短路试验,系统性地验证了构网型SVG的同步电压支撑、暂态瞬时响应、3倍10 s的过载能力,并总结了计算值与实测值存在误差的影响因素。试验达到了预期的目的和效果,试验表明,构网SVG在短路故障期间,能保持一定的构网特性,具有良好的系统支撑能力。
文摘This paper proposes and implements a model-free open-loop iterative learning control(ILC)strategy to realize the speed control of the single-phase flux switching motor(FSM)with an asymmetrical rotor.Base on the proposed winding control method,the asymmetrical rotor enables the motor to generate continuous positive torque for positive rotation,and relatively small resistance torque for negative rotation.An initial iteration coefficient and variable iteration coefficient optimized scheme was proposed based on the characteristics of the hardware circuit,thereby forming the model-free strategy.A series of prototype experiments was carried out.Experimental results verify the effectiveness and practicability of the proposed ILC strategy.
文摘为了有效降低电能损耗,研究提出了基于SVG(Static Var Generator,静止无功发生器)的煤矿供电系统节能优化策略。该策略通过SVG无功补偿技术,实时监测并调整供电系统的无功功率,有效提升了系统的功率因数,从而降低了因无功功率流动而产生的电能损耗。最后通过实例验证了该策略在降低煤矿供电系统电能损耗方面的显著成效。
文摘针对风电高电压穿越(high voltage ride through,HVRT)能力不足导致风电机组脱网的问题,详细阐述了直流故障引起并网点电压升高最终导致风电机组脱网的内在机理,分析了储能系统和静止无功补偿装置(static var generator,SVG)在HVRT期间的动态无功响应特性;通过对并网点电压进行实时监测,高电压穿越期间可将控制策略优先级分解为:风电场内部无功调节(储能系统和双馈异步风力发电机(doubly fed induction generator,DFIG)协同控制)、SVG无功调节。在此基础上,提出了一种储能系统、DFIG和SVG协同控制策略来提高风电场HVRT能力,同时对故障切除后存在的不利情况进行重新设置电压参考值环节,避免了不必要的无功流动。最后,基于MATLAB/Simulink平台搭建仿真模型,验证了理论分析与控制策略的正确性与有效性。研究结果对充分挖掘风电场自身无功调节能力,极大程度减轻SVG无功补偿负担提供了新思路。
文摘风电场站配置一定容量的无功补偿装置(如静止无功发生器(static var generator,SVG))可以提高风电外送能力。同时为了满足风电场站对于惯量和电压支撑的要求,SVG可以在直流侧集成功率型储能元件同时采用构网型控制。然而由于风电场出力的影响,构网型SVG存在着暂态同步失稳的风险。针对此问题,首先通过对构网型SVG接入风电场站的并网系统进行化简等效,得到构网型SVG的功角曲线。然后,利用等面积法则揭示风电场站中构网型SVG的失稳机理,并给出相应的稳定判据。进一步,提出一种基于惯量和阻尼系数协调自适应的暂态同步稳定性提升方法。在判断SVG发生暂态同步失稳时自适应改变惯量和阻尼系数,强迫SVG回到稳定平衡点。该方法可以提高构网型SVG的暂态同步稳定性,有利于风电外送能力的提升。最后在PSCAD/EMTDC中建立电磁暂态仿真模型,验证了构网型SVG失稳机理的正确性以及暂态同步稳定性提升方法的有效性。
文摘本文介绍了新风光高压SVG系统在充州矿业股份有限公司某煤矿的应用,SVG英文全称为static var generator即静止无功发生器,又称动态无功补偿发生装置,是指由自换相的电力半导体桥式变流器来进行动态无功补偿的装置。从矿业系统电网的无功补偿及谐波治理方面阐述了SVG系统在稳定电网电压、提高功率因数、补偿谐波等方面的独特优势,展示了动态无功补偿装置SVG在煤矿系统的应用前景。
