{"title":"An Improved 3-Step Startup Method Based on Sensorless Vector Control of PMSM","authors":"Lei Wang, Yifan Zhang, Linhai Zhao, Guo-zhu Chen","doi":"10.1109/APPEEC45492.2019.8994460","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994460","url":null,"abstract":"Permanent Magnet Synchronous Motor (PMSM) has been widely used because of its high efficiency, easy maintenance, and low cost, etc. Although plenty of sensorless control methods regarding low speed have been applied to the motor control, yet these methods are mostly complex and a little unreliable. To solve the problem, for the industrial PMSM without the requirement of running the motor for a long time at low speed, this paper proposes an improved 3-step startup method. The robustness, stability and response rapidness of the proposed method are discussed in detail, particularly for the transition process switched to the speed feedback control with sliding mode observer (SMO). In order to achieve a smooth transition, parabolic declining function and initial integral value selection are introduced. Simulation and experimental results on a 2.7-HP PMSM drive confirm the correctness of the proposed startup method.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128005371","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}
{"title":"Vertex-wise NLMS Algorithm for Signal Reconstruction of DC Power Flow","authors":"M. Seo, Jaepil Ban, S. W. Kim","doi":"10.1109/APPEEC45492.2019.8994358","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994358","url":null,"abstract":"In this paper, we present a novel optimization problem for normalized least-mean square (NLMS) algorithm including the estimated signal at unmeasured nodes by using graph characteristics. The NLMS algorithm uses more information such as high frequency elements and update directions. Also, it is easy to apply other DSP methods. The topology of IEEE 118 bus system is assumed as DC power flow and used to verify the proposed algorithm. The conducted simulation shows the proposed algorithm achieves fast convergence rate and small steady-state error. This will be helpful to other power systems whose signals on graph have various frequency components.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"2603 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128652024","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}
S. Inamdar, Rabindra Mohanty, Peiyuan Chen, R. Majumder, M. Bongiorno
{"title":"On Benefits and Challenges of Nested Microgrids","authors":"S. Inamdar, Rabindra Mohanty, Peiyuan Chen, R. Majumder, M. Bongiorno","doi":"10.1109/APPEEC45492.2019.8994363","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994363","url":null,"abstract":"Nesting of microgrids enhances supply reliability, operational efficiency. and ancillary service support by optimizing distributed energy resource utilization. The availability of local reserve capacity within the nested microgrids (NMGs) enhances the local black start capability and can provide extra ancillary services to the main grid. However, NMG requires complex control and multiple communication layers, which makes it more vulnerable to control instability and cyber-attacks. Coordination of multivendor MGs is another challenge. This paper reviews the structure of a NMG, its associated benefits, challenges, and measures to assess its potential for large-scale application","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130591466","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}
{"title":"Robustness Test Method of Power Flow System Containing Controllable and Fluctuating Power Devices","authors":"S. Javaid, M. Kaneko, Yasuo Tan","doi":"10.1109/APPEEC45492.2019.8994669","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994669","url":null,"abstract":"The electricity generated by renewable energy sources fluctuates depending on its intermittent nature, and change of weather conditions. Similarly, power demand also vary dynamically due to change of operation mode, user preferences etc. To mitigate the effects of power fluctuations caused by fluctuating power sources and loads, a power flow control is introduced which assigns power levels for controllable power devices and connections between power sources and loads to absorb the power fluctuations of fluctuating power devices. This paper introduces a new robustness test method for a power flow system consisting of controllable and fluctuating power devices which can guarantee the existence of feasible solution for any power level of fluctuating power devices. The proposed test method can be formulated as a linear programming problem, and can be solved with a polynomial time complexity.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130939128","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}
A. Delfino, N. Fernandes, R. Zanghi, D. Muchaluat-Saade
{"title":"Development of Electrical and Network Test Tool for IEC 61850 Based Power System Protection","authors":"A. Delfino, N. Fernandes, R. Zanghi, D. Muchaluat-Saade","doi":"10.1109/APPEEC45492.2019.8994572","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994572","url":null,"abstract":"IEC 61850 standard for communication networks and systems allows the implementation of applications such as distributed metering, control, and teleprotection in the power grid. The use of this technology, however, demands conformity tests in the configuration of Intelligent Electronic Devices (IEDs) and their protection schemes. These tests depend on the artificial and controlled generation of electrical signals as well as injection of synchronized packets in the communication network. This work proposes a low-cost and open-source tool, which presents the required features for testing protection schemes based on IEC 61850. The results show that our tool can follow progressive transmission intervals of GOOSE messages. Moreover, it can test protections schemes by synchronizing message and signal injections in the system.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131373419","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}
{"title":"An Integrated Conversion System and Charge Balance Control Strategy for PHEV Based on MMMC","authors":"Zhenxing Cheng, Guangzhu Wang","doi":"10.1109/APPEEC45492.2019.8994392","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994392","url":null,"abstract":"This paper proposes a plug-in hybrid electric vehicle (PHEV) integrated conversion system, which is based on modular multilevel matrix converter (MMMC). The proposed system could both realize motor drive and battery power management without additional charging circuit. To control this system, the charging control strategy from external power supply is studied. By establishing the small-signal model and analyzing the power relationship between different parts, a balanced charging control strategy by adjusting the battery states of charge (SOC) of each phase, bridge arm and the sub- module is proposed, the core of which is the MMMC bridge arm current control strategy. The experiments run on the RTLAB hardware-in-the-loop simulation experiment platform. And the results verify the feasibility and effectiveness of the proposed SOC balanced charge control strategy.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130056759","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}
Hunsoo Song, Gwangioong Kim, Minho Kim, Yongil Kim
{"title":"Short-Term Forecasting of Photovoltaic Power Integrating Multi-Temporal Meteorological Satellite Imagery in Deep Neural Network","authors":"Hunsoo Song, Gwangioong Kim, Minho Kim, Yongil Kim","doi":"10.1109/APPEEC45492.2019.8994616","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994616","url":null,"abstract":"Remotely-sensed satellite imagery offers crucial information on the atmosphere and the local environment, providing a broader perspective for more accurate photovoltaic (PV) power prediction. This study proposes a Deep Neural Network (DNN) framework which integrates meteorological satellite images with historical PV power output data to conduct short-term PV power prediction (2-hour ahead). For this study, Communication, Ocean, and Meteorological Satellite (COMS) was used, and the proposed model was evaluated on test sites in Yeongam and Jindo, South Korea. The proposed DNN model was able to consider the variations of atmospheric condition and successfully learn the complex meteorological patterns by using multi-temporal COMS satellite images stacked with historical PV data. The experiment on historical PV power output, compiled over three years from 2015 to 2017, confirms that the integration of multi-temporal satellite images is more accurate than using single mono-temporal satellite image in short-term PV power prediction.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130204095","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}
Jing Lu, Jun Li, H. Mao, Z. Mao, Yanan Wu, Xianshun Shen, Yunxiang Tian
{"title":"A Low-Frequency Coordinated Control Method for Tokamak Hybrid Active Power Filter","authors":"Jing Lu, Jun Li, H. Mao, Z. Mao, Yanan Wu, Xianshun Shen, Yunxiang Tian","doi":"10.1109/APPEEC45492.2019.8994574","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994574","url":null,"abstract":"Tokamak power supply system generates non-stationary harmonics which tend to exhibit high power, complex spectrum and drastic change. Although the hybrid active power filter (HAPF) can effectively exclude those non-characteristic harmonics, especially in the low-frequency spectrum, it is intricate to consider low-frequency harmonic extraction, correction, overall filtering performance and stability of the system at the same time. To ensure that HAPF can adapt to complex Tokamak power supply, the mathematical function of the whole power supply system is established in this paper, and the coordinated control method containing low-frequency harmonic detection, stability correction and filtering effect analysis is proposed. The effectiveness of the control method in the whole system is simulated by PSCAD/EMTDC, and the detection method has been debugged on the DSP.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121823812","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}
{"title":"Optimal Planning of Integrated Electricity and Natural Gas System Based on C&CG Algorithm","authors":"Hongkai Zhang, Jian Chen, Yicheng Zhang","doi":"10.1109/APPEEC45492.2019.8994498","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994498","url":null,"abstract":"In order to improve energy efficiency and solve environmental pollution problems, integrated electricity and natural gas (IENG) system has become the first choice. It is of great significance to study the coupling mode, planning and operation of IENG. In this paper, according to the uncertainties of load and renewable energy, a robust optimization method is adopted. IENG system considering power to gas (PtG) and gas turbine (GT) is modeled. On this basis, an optimal planning model is proposed, and the C&CG algorithm is used to solve the problem. A case study illustrates the influence of different conditions on the optimal planning results, and the operation results are also analyzed.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121367387","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}
{"title":"Fault Detection in HVDC Transmission Line by S-Transform Technique","authors":"Kundan Singh, A. Ukil","doi":"10.1109/APPEEC45492.2019.8994571","DOIUrl":"https://doi.org/10.1109/APPEEC45492.2019.8994571","url":null,"abstract":"Consumption of electrical energy has increased many folds in the recent time due to its use for industrial, commercial, agricultural, domestic and social purposes. HVDC technology is increasingly used for bulk power transmission due to advantages like low loss, ease of control, etc. However, the protection system for the HVDC system is not as mature as AC system. HVDC system requires fast and accurate fault detection. Recently, various time- and frequency-domain algorithms are proposed. In this paper, Stockwell (S-) transform is utilized for real-time fault detection. Different type of faults in HVDC transmission line are simulated using PSCAD. The generated fault signals are analyzed using MATLAB. S-transform can detect the transient signal effectively in time-frequency domain. It can be used to robustly differentiate the different type of faults and the load variation.","PeriodicalId":241317,"journal":{"name":"2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121368775","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}