Pub Date : 2021-02-26DOI: 10.1109/cpeee51686.2021.9383391
{"title":"CPEEE 2021 Preface","authors":"","doi":"10.1109/cpeee51686.2021.9383391","DOIUrl":"https://doi.org/10.1109/cpeee51686.2021.9383391","url":null,"abstract":"","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129086970","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383247
Sievlong Suk, V. Vai, Rathana Lorm, Chhith Chhlonh, Samphors Eng, L. Bun
This paper proposes a modified method to minimize power losses through reconfiguration. A modified method for reconfiguration has been developed to search for optimal configuration systems under normal operation. Firstly, the original method is based on a sequential switch opening (SSO) has been implemented. The second method is based on a modified sequential switch opening (MSSO) which is carried out with MATLAB and MATPOWER tool. To validate the proposed method, the standard IEEE 33-bus and 69-bus distribution systems are selected to be tested. Simulation results are compared with two different methods to confirm the effectiveness of the proposed method.
{"title":"Network Reconfiguration in Distribution Systems Based on Modified Sequential Switch Opening Method","authors":"Sievlong Suk, V. Vai, Rathana Lorm, Chhith Chhlonh, Samphors Eng, L. Bun","doi":"10.1109/CPEEE51686.2021.9383247","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383247","url":null,"abstract":"This paper proposes a modified method to minimize power losses through reconfiguration. A modified method for reconfiguration has been developed to search for optimal configuration systems under normal operation. Firstly, the original method is based on a sequential switch opening (SSO) has been implemented. The second method is based on a modified sequential switch opening (MSSO) which is carried out with MATLAB and MATPOWER tool. To validate the proposed method, the standard IEEE 33-bus and 69-bus distribution systems are selected to be tested. Simulation results are compared with two different methods to confirm the effectiveness of the proposed method.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114208962","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383362
Ying Qiao, Haibo Li, Jiheng Jiang, G. Fu
High wind energy curtailment during winter and early spring in north China has drawn widespread concern in recent years, which, at source, results from the shortage of power system flexibility. Therefore, power system needs to consider the flexibility in planning stage. However, current flexibility metric is difficult to calculate and be applied in to the optimal planning. A non-sequential production simulation model with only input data of the cumulative probability function and/or probability density function of heat demand, electricity demand, and wind power is proposed, which is used to obtain the probability distribution of the production for generators according to least cost principle. Then the flexibility metric can be easily calculated based on the production results. Simulations were performed based on the actual data of a large wind power zone in north China. Multiple flexibility metric was evaluated and compared with the wind power curtailment, which shows the strong correlation between them. Finally, the impact of flexible resources on the flexibility metric was analyzed.
{"title":"Multiple-Stage Inter-temporal Flexibility for Planning: A Non-sequential Probabilistic Production Simulation Approach","authors":"Ying Qiao, Haibo Li, Jiheng Jiang, G. Fu","doi":"10.1109/CPEEE51686.2021.9383362","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383362","url":null,"abstract":"High wind energy curtailment during winter and early spring in north China has drawn widespread concern in recent years, which, at source, results from the shortage of power system flexibility. Therefore, power system needs to consider the flexibility in planning stage. However, current flexibility metric is difficult to calculate and be applied in to the optimal planning. A non-sequential production simulation model with only input data of the cumulative probability function and/or probability density function of heat demand, electricity demand, and wind power is proposed, which is used to obtain the probability distribution of the production for generators according to least cost principle. Then the flexibility metric can be easily calculated based on the production results. Simulations were performed based on the actual data of a large wind power zone in north China. Multiple flexibility metric was evaluated and compared with the wind power curtailment, which shows the strong correlation between them. Finally, the impact of flexible resources on the flexibility metric was analyzed.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134217779","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383241
E. Sutheerasak, W. Pirompugd, S. Chuepeng
The research aims to investigate the performance, pollutant, and wear of a diesel-engine generator fueled with regular diesel (RD) blended with oxygenated additives, ethanol, n-butanol, ethyl acetate, and palm ethyl ester, as compared with RD baseline on 700 hr. Fuels are separately tested in each engine, the same engine specifications and test conditions. Results studied at speeds and full load on 200 hr show that RD mixed with ethanol and n-butanol had better engine performance and lower exhaust emissions than RD blended with other additives and RD baseline. Moreover, the results investigated at constant speed of 3,000 rpm and medium load on 500-hr engine test identify that they were similar to the results of 200-hr engine test. Engine wear results on 700 hr indicate that RD blended with ethanol and ethyl acetate had higher mechanical wear of engine parts than RD mixed with other additives and RD baseline. Especially, fuel injection pressure was reduced by 9% as compared with the engine's guide. Nevertheless, the mechanical wear results from using fuel blends were still acceptable since the engine wear by using fuels were within the specifications of engine's guide.
{"title":"Performance, Emission, and Wear of a Diesel-engine Generator Operating with Regular Diesel Mixed with Oxygenated Additives","authors":"E. Sutheerasak, W. Pirompugd, S. Chuepeng","doi":"10.1109/CPEEE51686.2021.9383241","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383241","url":null,"abstract":"The research aims to investigate the performance, pollutant, and wear of a diesel-engine generator fueled with regular diesel (RD) blended with oxygenated additives, ethanol, n-butanol, ethyl acetate, and palm ethyl ester, as compared with RD baseline on 700 hr. Fuels are separately tested in each engine, the same engine specifications and test conditions. Results studied at speeds and full load on 200 hr show that RD mixed with ethanol and n-butanol had better engine performance and lower exhaust emissions than RD blended with other additives and RD baseline. Moreover, the results investigated at constant speed of 3,000 rpm and medium load on 500-hr engine test identify that they were similar to the results of 200-hr engine test. Engine wear results on 700 hr indicate that RD blended with ethanol and ethyl acetate had higher mechanical wear of engine parts than RD mixed with other additives and RD baseline. Especially, fuel injection pressure was reduced by 9% as compared with the engine's guide. Nevertheless, the mechanical wear results from using fuel blends were still acceptable since the engine wear by using fuels were within the specifications of engine's guide.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134106401","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383418
Ying Qiao, Yisha Lin, Haibo Li, Xuebin Wang
The operation risk may increase with the high penetration of wind power, but the calculation of risk indices is complex and nonlinear, which makes it difficult to incorporate the risk constraints into the conventional unit commitment (UC) model. This paper focuses on accurately handling the risk constraints instead of approximate exponential decay rules, and proposes an iteration-correction methodology to solve risked-constrained UC of power systems with wind power. The proposed method calculates the risk indices based on the PJM method, and modifies the minimum reserve demand in each iterative step if the risk indices exceed the limits. A dynamic iterative speed-up equation is given to decrease the elapsed time. The case studies based on the actual system of China are conducted to validate the effectiveness. Compared with the conventional reserve limit, the precise and optimal reserve decision is made under different risk levels, and the proposed UC has merits of less cost and lower risk.
{"title":"An Iterative-Correction Approach of Risk-Constrained Unit Commitment of Power Systems with Wind Power based on Optimal Reserve Decision","authors":"Ying Qiao, Yisha Lin, Haibo Li, Xuebin Wang","doi":"10.1109/CPEEE51686.2021.9383418","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383418","url":null,"abstract":"The operation risk may increase with the high penetration of wind power, but the calculation of risk indices is complex and nonlinear, which makes it difficult to incorporate the risk constraints into the conventional unit commitment (UC) model. This paper focuses on accurately handling the risk constraints instead of approximate exponential decay rules, and proposes an iteration-correction methodology to solve risked-constrained UC of power systems with wind power. The proposed method calculates the risk indices based on the PJM method, and modifies the minimum reserve demand in each iterative step if the risk indices exceed the limits. A dynamic iterative speed-up equation is given to decrease the elapsed time. The case studies based on the actual system of China are conducted to validate the effectiveness. Compared with the conventional reserve limit, the precise and optimal reserve decision is made under different risk levels, and the proposed UC has merits of less cost and lower risk.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117094870","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383356
C. Zhao, S. Hashemi, P. B. Andersen, C. Træholt
Battery energy storage system (BESS) is key for future renewable energy systems, as it can provide various grid support functionalities, facilitate the participation of renewable energy sources in electricity markets, and increase grid stability. However, battery degradation is a major factor hindering the BESS implementation for grid applications. Battery state of health (SOH) is a key performance indicator of the BESS, and data-driven models powered by machine learning techniques are among the most promising solutions for the BESS degradation estimation. In this paper, a novel taxonomy of BESS services is proposed based on battery usage. Besides, the data-driven techniques for battery SOH modeling and data-driven SOH estimation applications for BESS providing grid services are reviewed and discussed. Further, a comprehensive discussion is presented regarding the challenges in the area of data-driven SOH modeling methods for the BESS providing grid services in practical applications.
{"title":"Data-driven State of Health Modeling of Battery Energy Storage Systems Providing Grid Services","authors":"C. Zhao, S. Hashemi, P. B. Andersen, C. Træholt","doi":"10.1109/CPEEE51686.2021.9383356","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383356","url":null,"abstract":"Battery energy storage system (BESS) is key for future renewable energy systems, as it can provide various grid support functionalities, facilitate the participation of renewable energy sources in electricity markets, and increase grid stability. However, battery degradation is a major factor hindering the BESS implementation for grid applications. Battery state of health (SOH) is a key performance indicator of the BESS, and data-driven models powered by machine learning techniques are among the most promising solutions for the BESS degradation estimation. In this paper, a novel taxonomy of BESS services is proposed based on battery usage. Besides, the data-driven techniques for battery SOH modeling and data-driven SOH estimation applications for BESS providing grid services are reviewed and discussed. Further, a comprehensive discussion is presented regarding the challenges in the area of data-driven SOH modeling methods for the BESS providing grid services in practical applications.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132896402","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383352
R. V. Carvalho, Daniel de Andrade Ussuna, V. S. Filho, Luiz Felipe Ribeiro Barrozo, Marlio José do Couto Bonfim, R. Martins
Ampacity is defined as the maximum current carrying capacity of an electrical conductor without compromising its physical integrity. A possible methodology for the monitoring of this parameter in transmission lines consists in the distribution of punctual temperature sensors along the line. This paper presents the development of electronic instrumentation for a current and temperature monitoring equipment to be applied in 230 kV power transmission lines. The chosen current transducer is the Rogowski Coil because of its linear response and decoupling between the measurement and power circuits, while the chosen temperature transducer is the NTC (Negative Temperature Coefficient) thermistor because of its low cost and high sensitivity. The developed prototype dos not use batteries or solar panels as power supply, as it is energized by the voltage induced in a secondary coil coupled to the transmission line. In order to increase the signal-to-noise ratio (SNR) and ensure electromagnetic compatibility (EMC), the hardware was developed and validated through numeric simulations and experimental measurements. Furthermore, digital noise reduction techniques such as oversampling and waveform averaging algorithms were implemented in the system. The developed equipment is theoretically able to measure electrical currents up to 1650 A, and was validated for currents up to 500 A and temperatures up to 90 °C. All collected data is transmitted to a computer for further analysis via wireless communication.
{"title":"Electronic Instrumentation Applied to the Indirect Measurement of 230 kV Overhead Transmission Lines Ampacity","authors":"R. V. Carvalho, Daniel de Andrade Ussuna, V. S. Filho, Luiz Felipe Ribeiro Barrozo, Marlio José do Couto Bonfim, R. Martins","doi":"10.1109/CPEEE51686.2021.9383352","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383352","url":null,"abstract":"Ampacity is defined as the maximum current carrying capacity of an electrical conductor without compromising its physical integrity. A possible methodology for the monitoring of this parameter in transmission lines consists in the distribution of punctual temperature sensors along the line. This paper presents the development of electronic instrumentation for a current and temperature monitoring equipment to be applied in 230 kV power transmission lines. The chosen current transducer is the Rogowski Coil because of its linear response and decoupling between the measurement and power circuits, while the chosen temperature transducer is the NTC (Negative Temperature Coefficient) thermistor because of its low cost and high sensitivity. The developed prototype dos not use batteries or solar panels as power supply, as it is energized by the voltage induced in a secondary coil coupled to the transmission line. In order to increase the signal-to-noise ratio (SNR) and ensure electromagnetic compatibility (EMC), the hardware was developed and validated through numeric simulations and experimental measurements. Furthermore, digital noise reduction techniques such as oversampling and waveform averaging algorithms were implemented in the system. The developed equipment is theoretically able to measure electrical currents up to 1650 A, and was validated for currents up to 500 A and temperatures up to 90 °C. All collected data is transmitted to a computer for further analysis via wireless communication.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122482582","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383392
Wei Zhao
The so-called neural activity refers to the enhancement of electrical activity, metabolic activity and chemical secretion when the neural pathway performs normal functions. And neural recording is to speculate on the function of different brain regions by observing the neural activity when animals are stimulated or engaged in various activities. In order to improve the efficiency of neural recording, in this paper, a Complementary Metal Oxide Semiconductor (CMOS) amplifier for neural recording applications are investigated. More than this, three neural recording microsystems and a neural recording tag in a CMOS, which are helpful to enhance neural recording technology and amplifiers in them are also discussed.
{"title":"Five Methods for Neural Recording Application and Comparison of Neural Amplifiers","authors":"Wei Zhao","doi":"10.1109/CPEEE51686.2021.9383392","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383392","url":null,"abstract":"The so-called neural activity refers to the enhancement of electrical activity, metabolic activity and chemical secretion when the neural pathway performs normal functions. And neural recording is to speculate on the function of different brain regions by observing the neural activity when animals are stimulated or engaged in various activities. In order to improve the efficiency of neural recording, in this paper, a Complementary Metal Oxide Semiconductor (CMOS) amplifier for neural recording applications are investigated. More than this, three neural recording microsystems and a neural recording tag in a CMOS, which are helpful to enhance neural recording technology and amplifiers in them are also discussed.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121770562","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383357
Yanping Liu, Xin Li, Yi Liang, S. Zeng, Mingqi Li
The use of power electronics technology to transform the distribution network, realize multi-terminal flexible closed-loop operation and greatly improve the power supply capacity is an important form of future development of the distribution network. At the same time, along with the large-scale promotion of electric vehicles (EVs), the disorderly access of charging load is bound to bring challenges to the safe and stable operation of the distribution network. Therefore, it is necessary to evaluate and analyse the impact of EV charging load access in the flexible distribution network. Firstly, this paper constructs operational constraints based on the operating characteristics of the flexible distribution network; secondly, based on the disorderly access characteristics of EVs, the EV charging load model is constructed through a multi-factor combination; finally, tests are carried out in the IEEE 33 interconnection system. The results show that the flexible interconnection can effectively optimize the distribution of tides over time and suppress the voltage deviation.
{"title":"Assessment of Impacts on Integration of Disorderly EV Charging Load to Flexible Distribution Network","authors":"Yanping Liu, Xin Li, Yi Liang, S. Zeng, Mingqi Li","doi":"10.1109/CPEEE51686.2021.9383357","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383357","url":null,"abstract":"The use of power electronics technology to transform the distribution network, realize multi-terminal flexible closed-loop operation and greatly improve the power supply capacity is an important form of future development of the distribution network. At the same time, along with the large-scale promotion of electric vehicles (EVs), the disorderly access of charging load is bound to bring challenges to the safe and stable operation of the distribution network. Therefore, it is necessary to evaluate and analyse the impact of EV charging load access in the flexible distribution network. Firstly, this paper constructs operational constraints based on the operating characteristics of the flexible distribution network; secondly, based on the disorderly access characteristics of EVs, the EV charging load model is constructed through a multi-factor combination; finally, tests are carried out in the IEEE 33 interconnection system. The results show that the flexible interconnection can effectively optimize the distribution of tides over time and suppress the voltage deviation.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130307410","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 : 2021-02-26DOI: 10.1109/CPEEE51686.2021.9383368
Li Li, Zongxiang Lu, Ying Qiao, Ruijie Chen
There exist arguments that whether the DFIGs contribute to low-frequency-oscillation of power systems. The controversial issue is hard to explain by traditional analytical tools like the modal analysis or MIMO methods, since their numerical results cannot provide fundamental physical significances about the coupling between DFIGs and the power system. Based on the idea of modular transfer-function modelling, the paper proposes a general theory named as rationales of "responses of generic component (RGC)", in order to have a complete explanation of potential damping effects induced by DFIGs (and other similar converter-interfaced generators) in intuitive frequency-domain forms. By using the complex torque coefficient method, the RGC-based rationales only rely on mathematical models and parameters of the DFIG, and thus are independent from the adjacent power systems. Analysis based on calculation of the DFIG’s RGC proves that, even if internal dynamics of the DFIG itself are poorly damped, DFIGs do not actively "participate" in electromechanical oscillations when in the normal maximum-power-tracking mode. In fact, only when additional active-power control like droop control is activated would the DFIG induce effective damping. Also, the proposed rationales clearly show the possibility of negative damping effects introduced by DFIGs. When a rudimentary power system is studied, observations and conclusions of both modal analysis and time-domain simulation could be well predicted by the RGC-based rationales.
{"title":"DFIGs’ Low-frequency Damping Effects Based on Responses of Generic Component","authors":"Li Li, Zongxiang Lu, Ying Qiao, Ruijie Chen","doi":"10.1109/CPEEE51686.2021.9383368","DOIUrl":"https://doi.org/10.1109/CPEEE51686.2021.9383368","url":null,"abstract":"There exist arguments that whether the DFIGs contribute to low-frequency-oscillation of power systems. The controversial issue is hard to explain by traditional analytical tools like the modal analysis or MIMO methods, since their numerical results cannot provide fundamental physical significances about the coupling between DFIGs and the power system. Based on the idea of modular transfer-function modelling, the paper proposes a general theory named as rationales of \"responses of generic component (RGC)\", in order to have a complete explanation of potential damping effects induced by DFIGs (and other similar converter-interfaced generators) in intuitive frequency-domain forms. By using the complex torque coefficient method, the RGC-based rationales only rely on mathematical models and parameters of the DFIG, and thus are independent from the adjacent power systems. Analysis based on calculation of the DFIG’s RGC proves that, even if internal dynamics of the DFIG itself are poorly damped, DFIGs do not actively \"participate\" in electromechanical oscillations when in the normal maximum-power-tracking mode. In fact, only when additional active-power control like droop control is activated would the DFIG induce effective damping. Also, the proposed rationales clearly show the possibility of negative damping effects introduced by DFIGs. When a rudimentary power system is studied, observations and conclusions of both modal analysis and time-domain simulation could be well predicted by the RGC-based rationales.","PeriodicalId":314015,"journal":{"name":"2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115068132","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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