Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8369977
P. Sattari, S. Panetta
Continuity of service is most essential in data processing facilities. Insulation failure due to line to ground fault is the most prevalent cause of service interruption in such facilities. Solidly grounded systems create fatal and costly Arc Flash hazards that would cause substantial damage at the fault location. Resistance grounding limits the line to ground fault current. This practice has been in use for many years and is widely applied in industry. This paper explores the application of resistance grounding in data processing facilities, where the distribution systems are typically more complex and may involve multiple sources, such as multiple transformers, multiple generators or a combination of both. This paper proposes that the sizing of neutral grounding resistor (NGR) should be exclusively based on charging current. Application examples are presented and the concept of hybrid grounding in low and high voltage (HV) systems is discussed.
{"title":"High reliability electrical distribution system for industrial facilities","authors":"P. Sattari, S. Panetta","doi":"10.1109/ICPS.2018.8369977","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8369977","url":null,"abstract":"Continuity of service is most essential in data processing facilities. Insulation failure due to line to ground fault is the most prevalent cause of service interruption in such facilities. Solidly grounded systems create fatal and costly Arc Flash hazards that would cause substantial damage at the fault location. Resistance grounding limits the line to ground fault current. This practice has been in use for many years and is widely applied in industry. This paper explores the application of resistance grounding in data processing facilities, where the distribution systems are typically more complex and may involve multiple sources, such as multiple transformers, multiple generators or a combination of both. This paper proposes that the sizing of neutral grounding resistor (NGR) should be exclusively based on charging current. Application examples are presented and the concept of hybrid grounding in low and high voltage (HV) systems is discussed.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123843744","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}
Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8369979
A. Reatti, F. Corti, M. Kazimierczuk, A. Ayachit
This paper presents a detailed design procedure for the transformer-based full-bridge Class-DE zero-voltage switching inverter. The circuit topology comprises the series-parallel CLL resonant tank network. The characteristics of the CLL resonant tank circuit in the presence of a loosely-coupled transformer are discussed. The expressions for the components, which are required to design the inverter to achieve zero-derivative switching (ZDS) condition are derived. A laboratory prototype of the transformer-based full-bridge Class-DE inverter with an input voltage 11 V, output power 10 W, switching frequency 500 kHz, and coupling coefficient 0.44 was designed, built, and tested. Validation of the theoretical predictions were performed using simulation and experimental results.
{"title":"Design of a loosely coupled transfomer loaded series-parallel class-DE ZVS inverter","authors":"A. Reatti, F. Corti, M. Kazimierczuk, A. Ayachit","doi":"10.1109/ICPS.2018.8369979","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8369979","url":null,"abstract":"This paper presents a detailed design procedure for the transformer-based full-bridge Class-DE zero-voltage switching inverter. The circuit topology comprises the series-parallel CLL resonant tank network. The characteristics of the CLL resonant tank circuit in the presence of a loosely-coupled transformer are discussed. The expressions for the components, which are required to design the inverter to achieve zero-derivative switching (ZDS) condition are derived. A laboratory prototype of the transformer-based full-bridge Class-DE inverter with an input voltage 11 V, output power 10 W, switching frequency 500 kHz, and coupling coefficient 0.44 was designed, built, and tested. Validation of the theoretical predictions were performed using simulation and experimental results.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124205633","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}
Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8369964
Ting-Yen Hsieh, Tsai-Hsiang Chen, K. Lian, C. Kuo, Jia-Sing Kang, P. Chen, Yung-Ruei Chang, Y. Ho
This paper introduces an effective and accurate method for scheduling the energy dispatch for a microgrid system. In contrast with previous work, the probabilistic models based on the famous Weibull probability density function have been utilized to calculate the intermittent power generation, especially for a microgrid system with high penetration of renewable generation. The modified particle swarm optimization (MPSO) was adopted to solve the optimization problem. All the case studies presented in the paper are based on the operational microgrid system, developed by the Institute of Nuclear Energy Research (INER) in Taiwan. The purchasing electric rate for renewable energy and the time of use (TOU) electricity prices, regulated by the Taiwan Power Company (TPC) have been included in the cost function in order to obtain the most economic solution. All outcomes are helpful to lower system operation cost and enhance the application of high penetration of renewable energy resources both on islanded and grid-connected modes.
{"title":"MPSO based energy dispatch strategy for microgrid considering TOU demand response","authors":"Ting-Yen Hsieh, Tsai-Hsiang Chen, K. Lian, C. Kuo, Jia-Sing Kang, P. Chen, Yung-Ruei Chang, Y. Ho","doi":"10.1109/ICPS.2018.8369964","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8369964","url":null,"abstract":"This paper introduces an effective and accurate method for scheduling the energy dispatch for a microgrid system. In contrast with previous work, the probabilistic models based on the famous Weibull probability density function have been utilized to calculate the intermittent power generation, especially for a microgrid system with high penetration of renewable generation. The modified particle swarm optimization (MPSO) was adopted to solve the optimization problem. All the case studies presented in the paper are based on the operational microgrid system, developed by the Institute of Nuclear Energy Research (INER) in Taiwan. The purchasing electric rate for renewable energy and the time of use (TOU) electricity prices, regulated by the Taiwan Power Company (TPC) have been included in the cost function in order to obtain the most economic solution. All outcomes are helpful to lower system operation cost and enhance the application of high penetration of renewable energy resources both on islanded and grid-connected modes.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130670252","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}
Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8369996
P. Dehghanian, Y. Guan, M. Kezunovic
Life-cycle assessment of power system circuit breakers (CB), if efficiently done, can well lead to an optimal decision on when, where, and how to perform maintenance activities. This paper elaborates a new approach on the identification of CB's deterioration/recovery states, i.e., the so called life-cycle assessment, using its control circuit condition monitoring data. Reliability-oriented performance indices, which can assess the condition of different physical parts of a CB in real time, are introduced first. Then, a quantitative methodology to define the probability of the CB falling into each class of deterioration/recovery states i.e., healthy, vulnerable, troubled, and failed is proposed. Using this approach, maintenance decisions can be more effectively made on different parts of a CB, the impact of maintenance can be well quantified, and system-wide maintenance optimization with respect to the condition-based differentiation of CBs all over the system can be made possible. Field CB condition data recorded at different time intervals during the operation of CB is utilized to evaluate the applicability and effectiveness of the proposed approach.
{"title":"Real-time life-cycle assessment of circuit breakers for maintenance using online condition monitoring data","authors":"P. Dehghanian, Y. Guan, M. Kezunovic","doi":"10.1109/ICPS.2018.8369996","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8369996","url":null,"abstract":"Life-cycle assessment of power system circuit breakers (CB), if efficiently done, can well lead to an optimal decision on when, where, and how to perform maintenance activities. This paper elaborates a new approach on the identification of CB's deterioration/recovery states, i.e., the so called life-cycle assessment, using its control circuit condition monitoring data. Reliability-oriented performance indices, which can assess the condition of different physical parts of a CB in real time, are introduced first. Then, a quantitative methodology to define the probability of the CB falling into each class of deterioration/recovery states i.e., healthy, vulnerable, troubled, and failed is proposed. Using this approach, maintenance decisions can be more effectively made on different parts of a CB, the impact of maintenance can be well quantified, and system-wide maintenance optimization with respect to the condition-based differentiation of CBs all over the system can be made possible. Field CB condition data recorded at different time intervals during the operation of CB is utilized to evaluate the applicability and effectiveness of the proposed approach.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125423713","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}
Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8369994
J. Mohammadi, F. B. Ajaei, G. Stevens
Grounding strategy of an AC microgrid affects its Line-to-Ground (LG) fault response, personnel/equipment safety, service continuity, insulation requirements, and protection criteria. Therefore, a comprehensive knowledge of the available grounding strategies and their effects is essential for design and operation of the microgrid components and especially its protection. In this paper, characteristics of different AC distribution system grounding devices, i.e., grounding impedance types, are investigated and compared. Subsequently, different AC distribution system grounding configurations including three-wire ungrounded, three-wire uni-grounded, four-wire uni-grounded, and four-wire multi-grounded systems are compared. Finally, AC microgrid grounding requirements are identified based on the unique characteristics and constraints of microgrids.
{"title":"AC microgrid grounding strategies","authors":"J. Mohammadi, F. B. Ajaei, G. Stevens","doi":"10.1109/ICPS.2018.8369994","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8369994","url":null,"abstract":"Grounding strategy of an AC microgrid affects its Line-to-Ground (LG) fault response, personnel/equipment safety, service continuity, insulation requirements, and protection criteria. Therefore, a comprehensive knowledge of the available grounding strategies and their effects is essential for design and operation of the microgrid components and especially its protection. In this paper, characteristics of different AC distribution system grounding devices, i.e., grounding impedance types, are investigated and compared. Subsequently, different AC distribution system grounding configurations including three-wire ungrounded, three-wire uni-grounded, four-wire uni-grounded, and four-wire multi-grounded systems are compared. Finally, AC microgrid grounding requirements are identified based on the unique characteristics and constraints of microgrids.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122760211","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}
Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8369972
Jie Shi, Guoyue Zhang, Weijen Lee
Incorporating Energy Storage System (ESS) with wind farms to build up Wind-Storage Combined Generation System is a promising solution to improve the dependability of wind power. Wind power forecasting precision plays a vital role to provide reliable generation scheduling on the combined generation system with smaller ESS. This type of generation scheduling (time interval: 15 minutes) makes wind generation a favorable player in power market trading. In this paper, wind power forecasting models with determined value and probabilistic interval are both established based on Radial Basis Function (RBF) neural network and nonparametric estimation method, respectively. According to the probabilistic model, the Plan Deviation (PD) index is proposed to estimate the forecasting impact to real-time system operation as well as adjusting generation plan in the scheduling time duration. After case study, the proposed model is proven to improve the reliability of generation scheduling along with increasing the participation of wind farm in power market trading.
{"title":"Evaluating the impact of wind power probabilistic forecasting on very-short-term generation scheduling for Wind-Storage Combined Generation System","authors":"Jie Shi, Guoyue Zhang, Weijen Lee","doi":"10.1109/ICPS.2018.8369972","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8369972","url":null,"abstract":"Incorporating Energy Storage System (ESS) with wind farms to build up Wind-Storage Combined Generation System is a promising solution to improve the dependability of wind power. Wind power forecasting precision plays a vital role to provide reliable generation scheduling on the combined generation system with smaller ESS. This type of generation scheduling (time interval: 15 minutes) makes wind generation a favorable player in power market trading. In this paper, wind power forecasting models with determined value and probabilistic interval are both established based on Radial Basis Function (RBF) neural network and nonparametric estimation method, respectively. According to the probabilistic model, the Plan Deviation (PD) index is proposed to estimate the forecasting impact to real-time system operation as well as adjusting generation plan in the scheduling time duration. After case study, the proposed model is proven to improve the reliability of generation scheduling along with increasing the participation of wind farm in power market trading.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114921642","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}
Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8369985
Yuhao Zhou, Long Zhao, Weijen Lee
With the wind power energy largely interconnected with power grid, it's necessary to develop a robust dynamic equivalent model of the wind farm for the system stability analysis and control. In this paper, a detailed wind farm model with doubly-fed induction generators (DFIGs) is established according to Western Electricity Coordinating Council (WECC) benchmark test system. Then the parameters identification process based on aggregation technique consisting of a hybrid algorithm combined improved-particle swarm optimization (IPSO) with improved-genetic algorithm (I-GA) is proposed for dynamic equivalent model development by using the measurement data from phasor measurement unit (PMU) at the point of interconnection (POI). Additionally, the robustness of the developed equivalent model is analyzed. The simulation results of the benchmark test system and IEEE-9 bus system demonstrate the effectiveness and robustness of the proposed equivalent modeling and identification methodology.
{"title":"Robustness analysis of dynamic equivalent model of DFIG wind farm for stability study","authors":"Yuhao Zhou, Long Zhao, Weijen Lee","doi":"10.1109/ICPS.2018.8369985","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8369985","url":null,"abstract":"With the wind power energy largely interconnected with power grid, it's necessary to develop a robust dynamic equivalent model of the wind farm for the system stability analysis and control. In this paper, a detailed wind farm model with doubly-fed induction generators (DFIGs) is established according to Western Electricity Coordinating Council (WECC) benchmark test system. Then the parameters identification process based on aggregation technique consisting of a hybrid algorithm combined improved-particle swarm optimization (IPSO) with improved-genetic algorithm (I-GA) is proposed for dynamic equivalent model development by using the measurement data from phasor measurement unit (PMU) at the point of interconnection (POI). Additionally, the robustness of the developed equivalent model is analyzed. The simulation results of the benchmark test system and IEEE-9 bus system demonstrate the effectiveness and robustness of the proposed equivalent modeling and identification methodology.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123403272","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}
Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8369981
Kenneth Edomwandekhoe, Xiaodong Liang
This paper presents an effective fault detection approach for broken rotor bar (BRB) faults in induction motors using machine learning. Three methods, Fast Fourier Transform (FFT), Yule Walker Estimate by Auto Regression (YUL-AR), and Matching Pursuit (MP), are considered for feature selection purpose. These methods are implemented on stator current signals of an induction motor under healthy and different number of broken rotor bars (BRBs) conditions simulated by the finite element analysis software ANSYS. It is found that the proposed MP method offers the most effective feature selection among the three methods, and is able to classify BRB faults accurately through support vector machine (SVM) and artificial neural network (ANN).
{"title":"Advanced feature selection for broken rotor bar faults in induction motors","authors":"Kenneth Edomwandekhoe, Xiaodong Liang","doi":"10.1109/ICPS.2018.8369981","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8369981","url":null,"abstract":"This paper presents an effective fault detection approach for broken rotor bar (BRB) faults in induction motors using machine learning. Three methods, Fast Fourier Transform (FFT), Yule Walker Estimate by Auto Regression (YUL-AR), and Matching Pursuit (MP), are considered for feature selection purpose. These methods are implemented on stator current signals of an induction motor under healthy and different number of broken rotor bars (BRBs) conditions simulated by the finite element analysis software ANSYS. It is found that the proposed MP method offers the most effective feature selection among the three methods, and is able to classify BRB faults accurately through support vector machine (SVM) and artificial neural network (ANN).","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134157466","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}
Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8370004
D. Paul, Eyad A. Khoudary, J. Nelson
This paper describes design application of 11 kV high-resistances grounding (HRG) protection schemes for the power plant generators to minimize phase-ground fault damage. Generated power is stepped-up to connect to utility grid at 66 kV by transmission lines, and it is stepped-down to 6 kV to supply power to the plant auxiliaries. One HRG protection scheme consists of a generator neutral resistor sized per the HRG criteria and a separate HRG protection scheme designed for the ungrounded 11 kV power system when the generator breaker opens and the utility back-feeds power to the generator auxiliaries. How two separate HRG schemes operate to provide minimum phase-ground fault current is included in this paper. Three-line diagrams are presented to show bolted phase-ground fault conditions' fault current flow directions, equivalent circuit, and phasor diagrams. Discussion on sensitivity of current relays to detect low phase-ground fault and to clear the fault by over voltage relay is included. This paper clarifies that the system charging current under normal operation and during phase-ground fault condition is provided by the power source.
{"title":"High-resistance grounding protection scheme of 11 kV generating plant","authors":"D. Paul, Eyad A. Khoudary, J. Nelson","doi":"10.1109/ICPS.2018.8370004","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8370004","url":null,"abstract":"This paper describes design application of 11 kV high-resistances grounding (HRG) protection schemes for the power plant generators to minimize phase-ground fault damage. Generated power is stepped-up to connect to utility grid at 66 kV by transmission lines, and it is stepped-down to 6 kV to supply power to the plant auxiliaries. One HRG protection scheme consists of a generator neutral resistor sized per the HRG criteria and a separate HRG protection scheme designed for the ungrounded 11 kV power system when the generator breaker opens and the utility back-feeds power to the generator auxiliaries. How two separate HRG schemes operate to provide minimum phase-ground fault current is included in this paper. Three-line diagrams are presented to show bolted phase-ground fault conditions' fault current flow directions, equivalent circuit, and phasor diagrams. Discussion on sensitivity of current relays to detect low phase-ground fault and to clear the fault by over voltage relay is included. This paper clarifies that the system charging current under normal operation and during phase-ground fault condition is provided by the power source.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116472292","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}
Pub Date : 2018-05-07DOI: 10.1109/ICPS.2018.8369967
A. Raciti, S. Rizzo, G. Susinni
Drone market is in the infancy stage although it is rapidly growing in the last years. In the next future, drones will be largely adopted in traditional economy sectors as well as for supporting emerging technologies. The main application problem is the limited flying range and, consequently, the need of performing many battery recharges during the time interval a drone performs its task. The large diffusion of recharging stations is a key factor in view of persistent operation without humans' intervention. This scenario leads promising business opportunities such as the development of a network of recharge stations on the roof of buildings. In this perspective, resonant wireless power transfer is the best enabling technology for the drone recharge station. One technical issue to be dealt with is the variability of the coupling factor due to the various misalignments that can occur between a drone and the supplying pad where it lands. This work proposes a current tuning mechanism that compensates for this variability in a single-inverter multi-pad charging station. The simulations performed through the Simscape Power Systems module in Simulink has confirmed the effectiveness of the used approach.
无人机市场虽然在过去几年迅速增长，但仍处于起步阶段。在未来，无人机将被广泛应用于传统经济领域以及支持新兴技术。主要的应用问题是飞行范围有限，因此，在无人机执行任务的时间间隔内需要进行多次电池充电。在无人干预的情况下持续运行，充电站的大面积分布是一个关键因素。这种情况带来了有希望的商业机会，例如在建筑物屋顶上开发充电站网络。从这个角度来看，谐振无线电力传输是无人机充电站的最佳使能技术。要处理的一个技术问题是耦合因子的可变性，这是由于无人机和它着陆的供应垫之间可能发生的各种失调。这项工作提出了一种电流调谐机制，以补偿单逆变器多pad充电站的这种可变性。通过Simulink中的Simscape Power Systems模块进行的仿真验证了所采用方法的有效性。
{"title":"Drone charging stations over the buildings based on a wireless power transfer system","authors":"A. Raciti, S. Rizzo, G. Susinni","doi":"10.1109/ICPS.2018.8369967","DOIUrl":"https://doi.org/10.1109/ICPS.2018.8369967","url":null,"abstract":"Drone market is in the infancy stage although it is rapidly growing in the last years. In the next future, drones will be largely adopted in traditional economy sectors as well as for supporting emerging technologies. The main application problem is the limited flying range and, consequently, the need of performing many battery recharges during the time interval a drone performs its task. The large diffusion of recharging stations is a key factor in view of persistent operation without humans' intervention. This scenario leads promising business opportunities such as the development of a network of recharge stations on the roof of buildings. In this perspective, resonant wireless power transfer is the best enabling technology for the drone recharge station. One technical issue to be dealt with is the variability of the coupling factor due to the various misalignments that can occur between a drone and the supplying pad where it lands. This work proposes a current tuning mechanism that compensates for this variability in a single-inverter multi-pad charging station. The simulations performed through the Simscape Power Systems module in Simulink has confirmed the effectiveness of the used approach.","PeriodicalId":142445,"journal":{"name":"2018 IEEE/IAS 54th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126203190","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}
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