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A SVM-based setting of protection relays in distribution systems 配电系统中基于svm的继电保护整定
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-03-09 DOI: 10.1109/TPEC.2018.8312071
Xiangtian Zheng, Xinbo Geng, Le Xie, Dongliang Duan, Liuqing Yang, Shuguang Cui
{"title":"A SVM-based setting of protection relays in distribution systems","authors":"Xiangtian Zheng, Xinbo Geng, Le Xie, Dongliang Duan, Liuqing Yang, Shuguang Cui","doi":"10.1109/TPEC.2018.8312071","DOIUrl":"https://doi.org/10.1109/TPEC.2018.8312071","url":null,"abstract":"With deeper penetration of distributed energy resources (DERs) in the distribution system, the power flow patterns are becoming more diverse, rendering over-current relays in distribution systems with potential malfunctioning. This paper proposes a data-driven approach to design operating strategies of relays in distribution systems with high penetration of distributed energy resources (DERs). A support vector machine-based classifier for the relay setting is introduced. Compared with conventional over-current relays, the proposed method could operate more accurately with smaller false alarm rate. It is also robust to altering system conditions such as load levels and fluctuating DERs. Numerical studies based on the IEEE 123-node test feeder illustrate the potential of this approach.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123785895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
THD analysis for a high frequency link SCR-based PWM inverter 高频链路可控硅型PWM逆变器的THD分析
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-03-09 DOI: 10.1109/TPEC.2018.8312104
Minjeong Kim, R. Balog
{"title":"THD analysis for a high frequency link SCR-based PWM inverter","authors":"Minjeong Kim, R. Balog","doi":"10.1109/TPEC.2018.8312104","DOIUrl":"https://doi.org/10.1109/TPEC.2018.8312104","url":null,"abstract":"Two commutation methods for an AC link inverter are compared in this paper. In a high frequency link inverter, a smaller size transformer can be used to provide galvanic isolation and voltage step-up instead of a bulky 60Hz transformer. Furthermore, an AC-link inverter removes one power conversion step that exists in a DC-link inverter. However, in the high frequency AC-link inverter, safe control of the AC-AC output stage, which converts the higher frequency link voltage into the lower frequency output voltage, is challenging. Conventionally, dead time is inserted when the output current changes direction. Previous results presented two different commutation methods which did not require dead time to guarantee safe commutation. In this paper, the total harmonic distortion (THD) values of the output current from the two commutation methods are compared at different switching frequencies, load inductance values and load resistance values. This paper finds that both methods are generally good. However, for some switching frequencies and some output load values, one method produces better quality output current than the other method, and in other switching frequencies and load conditions the other method produces better output current. Therefore, this paper concludes that if one of the commutation methods should be chosen, the switching frequency and the load values should be considered carefully in the design.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128330398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Comparison between operating modes of distributed generation on voltage profile and stability of distribution systems 分布式发电运行方式对电压分布和配电系统稳定性的影响比较
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-03-09 DOI: 10.1109/TPEC.2018.8312107
S. Said, B. Hartmann, M. Aly, M. Mosa, R. Balog
{"title":"Comparison between operating modes of distributed generation on voltage profile and stability of distribution systems","authors":"S. Said, B. Hartmann, M. Aly, M. Mosa, R. Balog","doi":"10.1109/TPEC.2018.8312107","DOIUrl":"https://doi.org/10.1109/TPEC.2018.8312107","url":null,"abstract":"This paper presents a detailed comparison between the effects of operating modes and penetration level of distributed generation (DG) on the steady-state voltage profile and stability of electrical distribution systems. The two operation modes of DG, PQ (constant power mode) and PV (voltage control mode) are studied on the IEEE 33-bus radial distribution system. Penetration level and location of the DG within the system are adjusted to maintain the voltage for all buses within ±5%. The maximum loading point (MLP) and total power loss of the distribution system are registered for every case study. Simulation results show that the operation of DG system in the PV mode of operation displays better performance in achieving greater MLP, smaller power losses, and better voltage profile than that of PQ mode. Simulation analyses are established by Power System Analysis Toolbox (PSAT) running under MATLAB program.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131506993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
ANN based prognostication of the PV panel output power under various environmental conditions 基于人工神经网络的各种环境条件下光伏板输出功率预测
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-03-09 DOI: 10.1109/TPEC.2018.8312051
S. Refaat, Omar H. Abu-Rub, H. Nounou
{"title":"ANN based prognostication of the PV panel output power under various environmental conditions","authors":"S. Refaat, Omar H. Abu-Rub, H. Nounou","doi":"10.1109/TPEC.2018.8312051","DOIUrl":"https://doi.org/10.1109/TPEC.2018.8312051","url":null,"abstract":"The modules of the photovoltaic (PV) generation system convert solar energy into direct current (dc) electricity. Many complex factors, such as temperature and dust, influence PV arrays operation, making it difficult to ensure the optimal utilization of the solar energy. Achieving maximum power output under all possible system operation conditions is an important target. This paper proposes the possibility of developing a reliable relationship between the PV system power generation and efficiency, and various environmental factors such as solar irradiance, temperature, dust, and wind, using artificial neural network (ANN). The study is considering different prediction horizons to identify the influence of climate variability on power output and efficiency of the PV modules and to maximize the system usability. The proposed system does not require any physical definitions of the modules in order to predict power output under varying weather conditions. Experimental implementation is conducted to demonstrate the effectiveness of the proposed system.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126207220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
VLSI architecture for exciter, governor, and stabilizer in fast power system EMT simulation 快速电力系统EMT仿真中励磁、调速器和稳定器的VLSI架构
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-03-09 DOI: 10.1109/TPEC.2018.8312074
Lu Zhang, Meng Wu, Zhixing Li, P. Kumar, Le Xie, Weiping Shi
{"title":"VLSI architecture for exciter, governor, and stabilizer in fast power system EMT simulation","authors":"Lu Zhang, Meng Wu, Zhixing Li, P. Kumar, Le Xie, Weiping Shi","doi":"10.1109/TPEC.2018.8312074","DOIUrl":"https://doi.org/10.1109/TPEC.2018.8312074","url":null,"abstract":"In the modern power system, fast and accurate simulation tools are needed for transient analysis such as electromagnetic transients program (EMT). In our previous paper, we proposed a computational framework to model, convert, and accelerate the grid-level EMT simulations based on full custom VLSI (very large scale integration) techniques that runs orders of magnitudes faster than software or FPGA approaches. However, due to the complexity of exciters, power system stabilizers and governors, these components were omitted and the corresponding values are assumed to be constant. In this paper, we propose an efficient VLSI architecture for exciters, power system stabilizers and governors, and implement the architecture using the 45nm process. Circuit simulation results show that the proposed VLSI circuits can solve the system significantly faster than real time without sacrificing accuracy.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131058083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A parameter mismatch study on model predictive control based sensorless current mode 基于无传感器电流模式的模型预测控制参数失配研究
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-03-09 DOI: 10.1109/TPEC.2018.8312065
Morcos Metry, R. Balog
{"title":"A parameter mismatch study on model predictive control based sensorless current mode","authors":"Morcos Metry, R. Balog","doi":"10.1109/TPEC.2018.8312065","DOIUrl":"https://doi.org/10.1109/TPEC.2018.8312065","url":null,"abstract":"While solar energy is accepted as an abundant source of energy, it is stochastic in nature, unlike many other conventional sources of energy. This intermittency requires robust controllers that allow for maximized energy harvest. A general trend to improving controller design is to consider modern control techniques, particularly optimal control methods like model predictive control (MPC). While these techniques offer faster and more accurate reference tracking, they also add to the complexity of the system and could possibly reduce its window of stability. This paper is comprised of further analyses of the previously proposed sensorless current mode (SCM) controller for the photovoltaic maximum power point tracker (MPPT) based on MPC. Through a variety of parameter mismatch and sensitivity studies, a better perspective on the stability and efficacy of the proposed control method is presented.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127233901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A new model to analyze power system dependencies 电力系统依赖性分析的新模型
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-03-09 DOI: 10.1109/TPEC.2018.8312075
Malhar Padhee, Joydeep Banerjee, K. Basu, Sohini Roy, A. Pal, Arunabha Sen
{"title":"A new model to analyze power system dependencies","authors":"Malhar Padhee, Joydeep Banerjee, K. Basu, Sohini Roy, A. Pal, Arunabha Sen","doi":"10.1109/TPEC.2018.8312075","DOIUrl":"https://doi.org/10.1109/TPEC.2018.8312075","url":null,"abstract":"In a power systems context, dependency implies the reliance of certain system entities on the functioning of other system entities. Finding the appropriate level of abstraction for modeling power system dependency is a non-trivial task. This is true as a detailed study might be computationally intensive, while analysis done at a highly aggregated level might not provide very useful information. In this paper, a new model is proposed to analyze power system dependencies, which overcomes the limitations of existing models. A formal description of the model along with its working dynamics and a brief validation with respect to the 2011 Southwest Blackout are provided. The results indicate that this model is able to successfully capture the complex dependencies that exist in a modern power system.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"427 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127606428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An improved adaptive perturb & observe maximum power point tracking technique 一种改进的自适应摄动&观测最大功率点跟踪技术
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-03-09 DOI: 10.1109/TPEC.2018.8312066
Shunlong Xiao, R. Balog
{"title":"An improved adaptive perturb & observe maximum power point tracking technique","authors":"Shunlong Xiao, R. Balog","doi":"10.1109/TPEC.2018.8312066","DOIUrl":"https://doi.org/10.1109/TPEC.2018.8312066","url":null,"abstract":"To increase the energy harvest of photovoltaic (PV) module, a converter/inverter with maximum power point tracking (MPPT) is needed as the interface between the PV array and the load. The purpose is to adjust the effective load resistance presented to the PV modules so that the system operates at the maximum power point (MPP). As such, two requirements must be met by an effective MPPT controller: first, converge to the MPP quickly especially during dynamic weather conditions; second, exhibit small oscillation around the MPP under steady state. Knowing that oscillation will adversely affect the system stability and continuous power generation, many MPPT propose to adaptive change the variation step according to the power variation. For example, a second PI controller is implemented before the MPPT controller to minimize the perturbation size. These methods still do not suppress the steady sate oscillations around MPP effectively. As such, this paper proposed an improved adaptive MPPT technique by adding a steady state MPP determination algorithm after the adaptive perturb & observe method, which helps harness more renewable energy with reliable and high-efficiency tracking capability. The method is also independent with the environmental conditions and has smaller oscillation around the MPP compared to other adaptive P&O methods proposed. The proposed method is verified by both simulations and experiments under different irradiance levels and dynamic weather conditions.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130461229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Investigation of V2G economical viability
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-02-01 DOI: 10.1109/tpec.2018.8312048
Abdullah A. Almehizia, J. Snodgrass
{"title":"Investigation of V2G economical viability","authors":"Abdullah A. Almehizia, J. Snodgrass","doi":"10.1109/tpec.2018.8312048","DOIUrl":"https://doi.org/10.1109/tpec.2018.8312048","url":null,"abstract":"The literature is overwhelmed with ideas and innovations in regarding electric vehicles (EVs), precisely the concept of Vehicle-to-Grid (V2G). V2G demonstrates the capability of an EV owner to participate in the electricity market as an energy supplier rather than a passive load. The V2G approach can potentially increase the feasibility and economic viability of renewable generation sources by using the aggregated batteries of the EVs to offset the variability of renewable sources. The primary method examined is to reduce the cost of electricity for charging EVs in exchange for using the batteries as an aggregated storage medium. Since the primary disadvantage of this proposed plan is battery wear and degradation, this paper will demonstrate an economic study examining the incentives required to make the V2G cost-effective and beneficial to EV owners, utilities, and system operators. An optimal charging and discharging rates and number of battery cycles are presented.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125023177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Extracting substation cyber-physical architecture through intelligent electronic devices' data 利用智能电子设备数据提取变电站网络物理体系结构
2018 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2018-02-01 DOI: 10.1109/TPEC.2018.8312060
Hao Huang, K. Davis
{"title":"Extracting substation cyber-physical architecture through intelligent electronic devices' data","authors":"Hao Huang, K. Davis","doi":"10.1109/TPEC.2018.8312060","DOIUrl":"https://doi.org/10.1109/TPEC.2018.8312060","url":null,"abstract":"Intelligent electronic devices (IEDs) are widely used in power systems and result in diverse heterogeneous cyber-physical architectures. A scalable and fast way of accessing these IEDs and automatically extracting substation cyber-physical architecture for power systems from the data would benefit engineering design, power system analysis, security analysis, and cyber-physical security analysis. This paper presents a framework of automated cyber-physical architecture extraction and management. The proposed system will greatly reduce the time and human effort on extracting the cyber-physical architecture. This feature provides new capabilities for power system contingency analysis, cyber-physical security analysis, network connectivity examination, and improved intra- and inter-organizational event planning, preparation, and response capabilities.","PeriodicalId":292113,"journal":{"name":"2018 IEEE Texas Power and Energy Conference (TPEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123299023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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