Pub Date : 2022-11-11DOI: 10.1109/APET56294.2022.10072817
Liu Qitao, Zhang Zhipeng
The artillery power system is the power supply equipment of the artillery weapon system, and its reliability is related to the combat efficiency of the artillery. In order to realize the fault diagnosis and prediction of the artillery power system and improve the reliability of the power system, this paper takes the artillery power system as the object and proposes to combine the gray model with the BP neural network to predict the artillery power failure. The fault prediction effects of traditional GM (1, 1) gray model, BP neural network, traditional gray neural network and improved GM-BP gray neural network are compared and analyzed by simulation. The simulation results show that the improved GM-BP gray neural network improves the prediction accuracy and speeds up the convergence speed, verifies the effectiveness and correctness of the method, and provides an effective engineering application basis for the fault prediction of the artillery power system.
{"title":"Research on the Method of Gun Power Failure Prediction Based on Improved Grey Neural Network","authors":"Liu Qitao, Zhang Zhipeng","doi":"10.1109/APET56294.2022.10072817","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10072817","url":null,"abstract":"The artillery power system is the power supply equipment of the artillery weapon system, and its reliability is related to the combat efficiency of the artillery. In order to realize the fault diagnosis and prediction of the artillery power system and improve the reliability of the power system, this paper takes the artillery power system as the object and proposes to combine the gray model with the BP neural network to predict the artillery power failure. The fault prediction effects of traditional GM (1, 1) gray model, BP neural network, traditional gray neural network and improved GM-BP gray neural network are compared and analyzed by simulation. The simulation results show that the improved GM-BP gray neural network improves the prediction accuracy and speeds up the convergence speed, verifies the effectiveness and correctness of the method, and provides an effective engineering application basis for the fault prediction of the artillery power system.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128261497","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}
Harvesting rotational energy from the environment and efficiently converting it into available electrical energy to power wire sensors nudes is gaining popularity, particularly in the context of the Internet of Things (IoT). However, as a promising solution for energy harvesting, the majority of triboelectric nanogenerators (TENGs) working in sliding friction mode generate much thermal energy and low output current has been a limitation of them to be popularized. Here, a triboelectric-electromagnetic hybrid nanogenerator working in rolling friction mode has been proposed. The infrared temperature measurement photo of the electrode surface temperature after 20,000 contact-separation cycles shows that the TENG working in rolling friction mode generates less thermal energy than that working in sliding friction mode. The maximum output power of electromagnetic generator (EMG) can attain 33.28 mW at a rotation speed of 500 r/min, while the TENG has a maximum output power of 129 $mu {mathrm{W}}$. Furthermore, a self-powered environmental temperature monitoring system has been realized. This study demonstrates that there is a new way to detect ambient temperature for low-power consumption scenes.
{"title":"A Triboelectric-Electromagnetic Hybrid Nanogenerator Working in Rolling Friction Mode for Self-powered Environmental Monitoring System","authors":"Jiajia Zhang, Jinyu Zhang, Xingliang Tian, Dong Yan, Qiangjing Yuan, Xinru Zhang","doi":"10.1109/APET56294.2022.10073003","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10073003","url":null,"abstract":"Harvesting rotational energy from the environment and efficiently converting it into available electrical energy to power wire sensors nudes is gaining popularity, particularly in the context of the Internet of Things (IoT). However, as a promising solution for energy harvesting, the majority of triboelectric nanogenerators (TENGs) working in sliding friction mode generate much thermal energy and low output current has been a limitation of them to be popularized. Here, a triboelectric-electromagnetic hybrid nanogenerator working in rolling friction mode has been proposed. The infrared temperature measurement photo of the electrode surface temperature after 20,000 contact-separation cycles shows that the TENG working in rolling friction mode generates less thermal energy than that working in sliding friction mode. The maximum output power of electromagnetic generator (EMG) can attain 33.28 mW at a rotation speed of 500 r/min, while the TENG has a maximum output power of 129 $mu {mathrm{W}}$. Furthermore, a self-powered environmental temperature monitoring system has been realized. This study demonstrates that there is a new way to detect ambient temperature for low-power consumption scenes.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123901715","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 : 2022-11-11DOI: 10.1109/APET56294.2022.10073306
Huipeng Li, Rui Fan, Lei Feng, Shifeng Zhang, Jun Zhao, Tengxin Wang, Shilin Li
Under the asymmetric voltage sag, the centralized new energy faces problems such as lack of coordination of multiple control objectives and high complexity of control strategies, which will lead to disconnection in serious cases and affect the stable operation of the power grid. Thus, a multi-objective active control strategy for DG is proposed considering voltage sags. Firstly, the influence of grid impedance on voltage is fully considered, and the positive and negative sequence voltage supporting equation is established to realize flexible control of phase voltage. Secondly, several control targets under asymmetric voltage sags based on positive and negative sequence active power and reactive current are established. On this basis, the mutual restraint mechanism of multiple control objectives is analyzed deeply, and the control objectives are optimized according to the voltage sag scenarios, and the objective function and constraint conditions in different scenarios are constructed. Finally, ipopt optimization algorithm is used to realize multi-objective optimal control of grid-connected inverter under asymmetric voltage sag. The simulation is used to verify the effectiveness of the proposed method in different voltage sag scenarios.
{"title":"Research on Multi-objective Active Control Strategy of Centralized New Energy under Asymmetric Voltage Sag","authors":"Huipeng Li, Rui Fan, Lei Feng, Shifeng Zhang, Jun Zhao, Tengxin Wang, Shilin Li","doi":"10.1109/APET56294.2022.10073306","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10073306","url":null,"abstract":"Under the asymmetric voltage sag, the centralized new energy faces problems such as lack of coordination of multiple control objectives and high complexity of control strategies, which will lead to disconnection in serious cases and affect the stable operation of the power grid. Thus, a multi-objective active control strategy for DG is proposed considering voltage sags. Firstly, the influence of grid impedance on voltage is fully considered, and the positive and negative sequence voltage supporting equation is established to realize flexible control of phase voltage. Secondly, several control targets under asymmetric voltage sags based on positive and negative sequence active power and reactive current are established. On this basis, the mutual restraint mechanism of multiple control objectives is analyzed deeply, and the control objectives are optimized according to the voltage sag scenarios, and the objective function and constraint conditions in different scenarios are constructed. Finally, ipopt optimization algorithm is used to realize multi-objective optimal control of grid-connected inverter under asymmetric voltage sag. The simulation is used to verify the effectiveness of the proposed method in different voltage sag scenarios.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124458091","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}
At present, embedded wireless sensors are widely used in the structural monitoring system of bridges, tunnels and buildings. However, wireless sensors are easily limited by the capacity and size of batteries. Wireless Power Transfer technology based on magnetic resonance provides a great solution for the application of wireless sensors. However, compared with air, concrete material has a high relative dielectric constant and conductivity, which will reduce the efficiency of Wireless Power Transfer system. This paper focuses on the analysis of the Wireless Power Transfer technology for charging the sensor embedded in concrete, analyzes the influence of various parameters in concrete on the sensor coil, and puts forward the equivalent circuit model of Wireless Power Transfer based on these analyses. The equivalent circuit model can be useful to the analysis of embedded wireless sensors and the calculation of various losses, which has certain significance for the building result monitoring system using embedded wireless sensors.
{"title":"Analysis of Equivalent Circuit Model of Concrete WPT System","authors":"Zhousen Wu, Mengmeng Chen, Xiaoyu Duan, Qiong Wang, Lihui Yan, Cancan Rong","doi":"10.1109/APET56294.2022.10072506","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10072506","url":null,"abstract":"At present, embedded wireless sensors are widely used in the structural monitoring system of bridges, tunnels and buildings. However, wireless sensors are easily limited by the capacity and size of batteries. Wireless Power Transfer technology based on magnetic resonance provides a great solution for the application of wireless sensors. However, compared with air, concrete material has a high relative dielectric constant and conductivity, which will reduce the efficiency of Wireless Power Transfer system. This paper focuses on the analysis of the Wireless Power Transfer technology for charging the sensor embedded in concrete, analyzes the influence of various parameters in concrete on the sensor coil, and puts forward the equivalent circuit model of Wireless Power Transfer based on these analyses. The equivalent circuit model can be useful to the analysis of embedded wireless sensors and the calculation of various losses, which has certain significance for the building result monitoring system using embedded wireless sensors.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132729560","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 : 2022-11-11DOI: 10.1109/APET56294.2022.10073441
Xiang Zeng, Minghao Wen, Kun Qian, Tao Jiang, Yaoyu Cheng
Due to the weak fault current feedability and phase-controlled characteristics of the Inverter Interfaced Distributed Generator (IIDG), the distance protection of the system with IIDG injected may not operate correctly when the single-phase ground fault occurs through the fault resistance. In this paper, considering the characteristics of voltage controlled positive sequence current source of IIDG, the sequence network analysis and calculation of single-phase grounding fault in the system with IIDG injected are carried out. The output current of IIDG after the fault is calculated by the positive sequence voltage approximation value of the connection point, and the measured impedance expression determined by the fault location, fault resistance and electrical volume before the fault is obtained. Thus, operating impedance boundary of grounding distance protection can be adjusted adaptively. The protection scheme is adjusted adaptively using only the electrical parameters before the fault, the protection can adapt change of the output current of the IIDG after the fault and improve the immunity to fault resistance for the grounding distance protection of the system with IIDG injected. Simulation based on PSCAD/EMTDC vermes effectiveness of the proposed protection.
{"title":"Adaptive Grounding Distance Protection for Inverter-Interfaced Distributed Generation","authors":"Xiang Zeng, Minghao Wen, Kun Qian, Tao Jiang, Yaoyu Cheng","doi":"10.1109/APET56294.2022.10073441","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10073441","url":null,"abstract":"Due to the weak fault current feedability and phase-controlled characteristics of the Inverter Interfaced Distributed Generator (IIDG), the distance protection of the system with IIDG injected may not operate correctly when the single-phase ground fault occurs through the fault resistance. In this paper, considering the characteristics of voltage controlled positive sequence current source of IIDG, the sequence network analysis and calculation of single-phase grounding fault in the system with IIDG injected are carried out. The output current of IIDG after the fault is calculated by the positive sequence voltage approximation value of the connection point, and the measured impedance expression determined by the fault location, fault resistance and electrical volume before the fault is obtained. Thus, operating impedance boundary of grounding distance protection can be adjusted adaptively. The protection scheme is adjusted adaptively using only the electrical parameters before the fault, the protection can adapt change of the output current of the IIDG after the fault and improve the immunity to fault resistance for the grounding distance protection of the system with IIDG injected. Simulation based on PSCAD/EMTDC vermes effectiveness of the proposed protection.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132072586","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 : 2022-11-11DOI: 10.1109/APET56294.2022.10072891
Xiu Zhou, Tian Tian, Ningbo Liu, Jin Bai, Yan Luo, Ninghui He, Pengcheng Zhang, Jun Sun
Monitoring the operating state of oil immersed transformer by free gas is an effective means to prevent equipment from burning and explosion. However, there is no research on the production pattern of free gas under different fault conditions. In this paper, the production pattern of free gas under discharge fault and thermal fault is obtained through experiments, and the dissolved gas in oil is collected and analyzed after the test. It is found that under severe faults, most of the characteristic gases generated by the insulation system cracking will escape to the top of the oil tank and be collected, while the characteristic gases dissolved in the oil are less. The existing dissolved gas analysis method cannot diagnose the transformer operation state through the component content of free gas, and the concentration of dissolved gas in oil is low, so the dissolved gas analysis method ca not accurately diagnose the transformer fault type. And the production pattern of free gas varies greatly under different faults, by analyzing the component content of free gas and dissolved gas in oil, the fault type can be accurately diagnosed at the early stage of serious fault.
{"title":"Fault Diagnosis Method of Oil-Immersed Transformer Based on the Production Pattern of Free Gas and Dissolved Gas in Oil","authors":"Xiu Zhou, Tian Tian, Ningbo Liu, Jin Bai, Yan Luo, Ninghui He, Pengcheng Zhang, Jun Sun","doi":"10.1109/APET56294.2022.10072891","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10072891","url":null,"abstract":"Monitoring the operating state of oil immersed transformer by free gas is an effective means to prevent equipment from burning and explosion. However, there is no research on the production pattern of free gas under different fault conditions. In this paper, the production pattern of free gas under discharge fault and thermal fault is obtained through experiments, and the dissolved gas in oil is collected and analyzed after the test. It is found that under severe faults, most of the characteristic gases generated by the insulation system cracking will escape to the top of the oil tank and be collected, while the characteristic gases dissolved in the oil are less. The existing dissolved gas analysis method cannot diagnose the transformer operation state through the component content of free gas, and the concentration of dissolved gas in oil is low, so the dissolved gas analysis method ca not accurately diagnose the transformer fault type. And the production pattern of free gas varies greatly under different faults, by analyzing the component content of free gas and dissolved gas in oil, the fault type can be accurately diagnosed at the early stage of serious fault.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124010016","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 : 2022-11-11DOI: 10.1109/APET56294.2022.10073196
Kun Liang, Tianwen Zheng, Libo Jiang
There is a number of important differences among different load types in the distribution network, which seriously affects the accuracy of the distributed energy storage configuration. Therefore, considering the load differences in the distribution network, a multi-objective optimal configuration method of distributed energy storage in the distribution network considering different user characteristics is proposed. Firstly, the differences among industrial, commercial, and residential loads and their influence on distributed energy storage configuration in the distribution network are analyzed. Secondly, a multi-objective model of maximizing the net benefit of the distributed energy storage and minimizing the voltage deviation in the distribution network is established. Then, an improved multi-objective particle swarm optimization algorithm is proposed, which obtains the optimal capacity and position of distributed energy storage. Finally, the validity of this method is verified by the simulation test of the improved IEEE33 distribution network system.
{"title":"Multi-objective Optimal Configuration of Distributed Energy Storage in Distribution Network Considering Different User Characteristics","authors":"Kun Liang, Tianwen Zheng, Libo Jiang","doi":"10.1109/APET56294.2022.10073196","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10073196","url":null,"abstract":"There is a number of important differences among different load types in the distribution network, which seriously affects the accuracy of the distributed energy storage configuration. Therefore, considering the load differences in the distribution network, a multi-objective optimal configuration method of distributed energy storage in the distribution network considering different user characteristics is proposed. Firstly, the differences among industrial, commercial, and residential loads and their influence on distributed energy storage configuration in the distribution network are analyzed. Secondly, a multi-objective model of maximizing the net benefit of the distributed energy storage and minimizing the voltage deviation in the distribution network is established. Then, an improved multi-objective particle swarm optimization algorithm is proposed, which obtains the optimal capacity and position of distributed energy storage. Finally, the validity of this method is verified by the simulation test of the improved IEEE33 distribution network system.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129622332","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 : 2022-11-11DOI: 10.1109/APET56294.2022.10072507
Yu Seok Han, Su Bin Jang, Eun Bin An, Hyunwoo Choi, Dong Yea Hwang
Recently, bio-signal processing analysis using artificial intelligence is attracting great attention. In the case of bio-signal processing, it is a very difficult signal to analyze because it has a lot of noise induced by the users’ movement or other bio-signals. Therefore, different results depending on the person making the diagnosis may be obtained. To solve this problem, artificial intelligence through learning algorithm based on big data can be used. With this technique, it becomes possible to analyze bio-signals more simply and accurately without the help of a diagnostician. However, the artificial intelligence systems themselves are not suitable for wearable applications. In this paper, a sensor system was developed to be suitable for wearable applications in consideration of user convenience, and an edge device was also developed to analyze bio-signals with artificial intelligence. The electromyogram (EMG) signal was measured through the sensor system, and the analysis was performed with an edge device using field programmable gate array (FPGA). Through this, bio-signal analysis can be performed more easily, accurately, and at a user’s desired moment.
{"title":"EMG Signal Analysis Using Sensor System and Edge Device for Wearable Applications","authors":"Yu Seok Han, Su Bin Jang, Eun Bin An, Hyunwoo Choi, Dong Yea Hwang","doi":"10.1109/APET56294.2022.10072507","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10072507","url":null,"abstract":"Recently, bio-signal processing analysis using artificial intelligence is attracting great attention. In the case of bio-signal processing, it is a very difficult signal to analyze because it has a lot of noise induced by the users’ movement or other bio-signals. Therefore, different results depending on the person making the diagnosis may be obtained. To solve this problem, artificial intelligence through learning algorithm based on big data can be used. With this technique, it becomes possible to analyze bio-signals more simply and accurately without the help of a diagnostician. However, the artificial intelligence systems themselves are not suitable for wearable applications. In this paper, a sensor system was developed to be suitable for wearable applications in consideration of user convenience, and an edge device was also developed to analyze bio-signals with artificial intelligence. The electromyogram (EMG) signal was measured through the sensor system, and the analysis was performed with an edge device using field programmable gate array (FPGA). Through this, bio-signal analysis can be performed more easily, accurately, and at a user’s desired moment.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127394869","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 : 2022-11-11DOI: 10.1109/APET56294.2022.10072441
Qidi Chen, AdiliBalaTi, Bin Li, Xing Wang, DaLin Cui
The power system relay protection plays a very important role in the safe operation of the power grid. When the primary equipment of the power grid fails, it can quickly remove the fault and issue an alarm. Combined a case analysis of an accident of incorrect operation of a 220kV line protection device, firstly, the principle of phase selection of line protection is introduced. Then the criteria, advantages and disadvantages of various phase selection components are analyzed. Finally, the improvement method of the criteria for phase selection is discussed in the paper, which is beneficial to avoid the occurrence of similar-accidents and improve the reliability of power grid operation.
{"title":"Analysis of an Accident of Incorrect Action of Relay Protection Device Due to Failure of Phase Selection","authors":"Qidi Chen, AdiliBalaTi, Bin Li, Xing Wang, DaLin Cui","doi":"10.1109/APET56294.2022.10072441","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10072441","url":null,"abstract":"The power system relay protection plays a very important role in the safe operation of the power grid. When the primary equipment of the power grid fails, it can quickly remove the fault and issue an alarm. Combined a case analysis of an accident of incorrect operation of a 220kV line protection device, firstly, the principle of phase selection of line protection is introduced. Then the criteria, advantages and disadvantages of various phase selection components are analyzed. Finally, the improvement method of the criteria for phase selection is discussed in the paper, which is beneficial to avoid the occurrence of similar-accidents and improve the reliability of power grid operation.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126066981","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 : 2022-11-11DOI: 10.1109/APET56294.2022.10073103
Qiulong Ni, Bolong Shi, Yishan Shi, W. Chang, Xianting Ren, R. Guo
With the massive integration of renewable distributed generations, reactive-voltage control may face difficulties due to the imbalance of reactive power supply and demand in control zone. A new network partition method based on community structure is proposed, which considers the reactive power balance of the zone. This method treats network partition as community partition, where the edges correspond to reactive-voltage sensitivities and the modularity function is extended with indexes reflecting reactive power balance. The traditional searching method for optimal community structure is improved to find the optimal partition. The effectiveness of the method is verified in the IEEE-33 and IEEE-39 bus systems. Case studies show that the proposed method can obtain the optimal partition number adaptively and ensure the balance between reactive power supply and demand in the zone.
{"title":"Network Partition Method for Reactive-voltage Control Considering Reactive Power Balance Based on Community Structure Theory","authors":"Qiulong Ni, Bolong Shi, Yishan Shi, W. Chang, Xianting Ren, R. Guo","doi":"10.1109/APET56294.2022.10073103","DOIUrl":"https://doi.org/10.1109/APET56294.2022.10073103","url":null,"abstract":"With the massive integration of renewable distributed generations, reactive-voltage control may face difficulties due to the imbalance of reactive power supply and demand in control zone. A new network partition method based on community structure is proposed, which considers the reactive power balance of the zone. This method treats network partition as community partition, where the edges correspond to reactive-voltage sensitivities and the modularity function is extended with indexes reflecting reactive power balance. The traditional searching method for optimal community structure is improved to find the optimal partition. The effectiveness of the method is verified in the IEEE-33 and IEEE-39 bus systems. Case studies show that the proposed method can obtain the optimal partition number adaptively and ensure the balance between reactive power supply and demand in the zone.","PeriodicalId":201727,"journal":{"name":"2022 Asia Power and Electrical Technology Conference (APET)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133197163","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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