Pub Date : 2017-11-01DOI: 10.1109/APPEEC.2017.8308946
Soumyadeep Ray, N. Gupta, R. A. Gupta
This paper presents five-level cascaded H-bridge multilevel inverter based shunt active power filter for medium voltage and high power distribution system. An improved single-phase synchronous reference frame theory based control algorithm is proposed in this paper for solving current related power quality problems. This control is well capable of improving power factor and maintaining better voltage regulation in the distribution sector. This proposed control is a complete solution in case of balanced and/or unbalanced loading condition in existing distribution system. This control algorithm is equally effective in case of distorted and/or unbalanced supply voltage condition. The proposed system is designed in Simulink platform of MATLAB software. The effectiveness of the proposed algorithm is tested in different possible conditions. Test results suggest its effectiveness over conventional control algorithms.
{"title":"Improved single phase SRF algorithm for CHB inverter based shunt active power filter under non-ideal supply conditions","authors":"Soumyadeep Ray, N. Gupta, R. A. Gupta","doi":"10.1109/APPEEC.2017.8308946","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308946","url":null,"abstract":"This paper presents five-level cascaded H-bridge multilevel inverter based shunt active power filter for medium voltage and high power distribution system. An improved single-phase synchronous reference frame theory based control algorithm is proposed in this paper for solving current related power quality problems. This control is well capable of improving power factor and maintaining better voltage regulation in the distribution sector. This proposed control is a complete solution in case of balanced and/or unbalanced loading condition in existing distribution system. This control algorithm is equally effective in case of distorted and/or unbalanced supply voltage condition. The proposed system is designed in Simulink platform of MATLAB software. The effectiveness of the proposed algorithm is tested in different possible conditions. Test results suggest its effectiveness over conventional control algorithms.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129309866","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308917
Avi Vyas, Trapti Katiyar
This paper discusses the design of an electronic power conditioner (EPC) that caters to an entire regenerative payload of spacecraft. The EPC in this particular case is capable of handling 25W output power distributed amongst thirteen outputs of respective subsystems i.e. FPGA based digital filter, Solid State Power Amplifier, Up converter, Low-Noise Amplifier (LNA) etc. The paper presents a compendium of the application wherein the EPC has been employed with all of the subsystems' specific requirements including individual Telecommands as well as requisite delays in startups of output voltages with pre-defined time periods and highlights the design of the same.
{"title":"Single electronic power conditioner for integrated payloads of communication satellites","authors":"Avi Vyas, Trapti Katiyar","doi":"10.1109/APPEEC.2017.8308917","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308917","url":null,"abstract":"This paper discusses the design of an electronic power conditioner (EPC) that caters to an entire regenerative payload of spacecraft. The EPC in this particular case is capable of handling 25W output power distributed amongst thirteen outputs of respective subsystems i.e. FPGA based digital filter, Solid State Power Amplifier, Up converter, Low-Noise Amplifier (LNA) etc. The paper presents a compendium of the application wherein the EPC has been employed with all of the subsystems' specific requirements including individual Telecommands as well as requisite delays in startups of output voltages with pre-defined time periods and highlights the design of the same.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114884219","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308959
B. M. S. M. Ramadan, Surian Raj, T. Logenthiran, R. T. Naayagi
Power outages have been a troubling issue yet inevitable till to date. In conjunction to the recent paradigm shift in restructuring passive power grid into an active network, grid operators now have little control over the grid's power flow transactions between generations and consumers. Such avocation concedes undeterministic fault origins and capitulate power line oscillatory which degrade the grid's integrity; succumbing to power outage catastrophe. Despite innovations in integrating distributed generations, leveraging demand curves irregularity and deployment of monitoring devices, transmission system operators could not guarantee the resiliency of the grid's operations in real-time due to high traffic of power flow diversifications. In consequence, embed distribution intelligence proceedings are infused to perform self-healing operations to assist grid operators to isolate and diagnose fault-affected regions while dampening overloading phenomenon. This paper proposes an automated transmission line fault restoration operation which employs knowledge-based algorithm to alleviate real-time line fault intrusions. A simulated test bed six-bus mesh network is modelled to identify and define fault events while performing autonomous isolation strategies through re-routing power flow displacements. The presented simulation results and findings are contrived using Power World Simulator (modelling of six-bus system), MATLAB and SimAuto (devising control and fault detection scheme).
到目前为止，停电一直是一个令人困扰但又不可避免的问题。结合最近将被动电网重组为主动电网的模式转变，电网运营商现在几乎无法控制电网在代际和消费者之间的电力流交易。这种回避承认了不确定的故障起源和屈服的电力线路振荡，降低了电网的完整性;屈服于停电灾难。尽管在整合分布式发电、利用需求曲线的不规则性和部署监控设备等方面进行了创新，但由于潮流多样化的高流量，输电系统运营商无法保证电网实时运行的弹性。因此，嵌入配电智能程序来执行自修复操作，以帮助电网运营商隔离和诊断故障影响区域，同时抑制过载现象。本文提出了一种基于知识算法的输电线路故障自动恢复操作，以缓解实时的线路故障入侵。模拟测试平台六总线网状网络，通过重新路由潮流位移执行自主隔离策略来识别和定义故障事件。利用Power World Simulator(六总线系统建模)、MATLAB和SimAuto(控制和故障检测方案设计)实现了仿真结果和发现。
{"title":"Self-healing network instigated by distributed energy resources","authors":"B. M. S. M. Ramadan, Surian Raj, T. Logenthiran, R. T. Naayagi","doi":"10.1109/APPEEC.2017.8308959","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308959","url":null,"abstract":"Power outages have been a troubling issue yet inevitable till to date. In conjunction to the recent paradigm shift in restructuring passive power grid into an active network, grid operators now have little control over the grid's power flow transactions between generations and consumers. Such avocation concedes undeterministic fault origins and capitulate power line oscillatory which degrade the grid's integrity; succumbing to power outage catastrophe. Despite innovations in integrating distributed generations, leveraging demand curves irregularity and deployment of monitoring devices, transmission system operators could not guarantee the resiliency of the grid's operations in real-time due to high traffic of power flow diversifications. In consequence, embed distribution intelligence proceedings are infused to perform self-healing operations to assist grid operators to isolate and diagnose fault-affected regions while dampening overloading phenomenon. This paper proposes an automated transmission line fault restoration operation which employs knowledge-based algorithm to alleviate real-time line fault intrusions. A simulated test bed six-bus mesh network is modelled to identify and define fault events while performing autonomous isolation strategies through re-routing power flow displacements. The presented simulation results and findings are contrived using Power World Simulator (modelling of six-bus system), MATLAB and SimAuto (devising control and fault detection scheme).","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122031333","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308920
G. Manikanta, Ashish Mani, H. P. Singh, D. Chaturvedi
The load at distribution system is rapidly growing day by day due to increase in industrial, domestic and commercial needs. The increased demand in distribution system at load centers has been met by increasing the power generation. One of the alternative to meet the required load demand is reduction or minimization of power losses in distribution network. The losses are minimized by placing and sizing of capacitors or Distributed Generator (DG), increasing the size of conductor, changing the taps of the transformer etc. In today's world scenario, DGs are playing an important role in reduction of power losses for meeting the load demand at distribution system. Placement and sizing of DG for minimizing the power loss in distribution system is a combinatorial optimization problem. Efficient deterministic techniques are not available, hence metaheuristic are used to solve. Some efforts have been made to solve this combinatorial optimization problem for Constant power load by using Symbiotic Organism Search (SOS). The performance of SOS is better as compared with other algorithms. In this paper other than Constant power load (CP), two more load models i.e., Constant Current Load (CI) and Constant Impedance Load (CZ) have been also used as benchmark problems using Symbiotic Organism Search (SOS). The major advantage of SOS algorithm as compared to Genetic Algorithm is that SOS has better solution quality and does not require any controlling parameters. Results show that SOS has better performance as compared to GA. Two test bus systems 33 bus system and 85 bus system with different load models are considered for testing the algorithms.
{"title":"Minimization of power losses in distribution system using symbioitic organism search algorithm","authors":"G. Manikanta, Ashish Mani, H. P. Singh, D. Chaturvedi","doi":"10.1109/APPEEC.2017.8308920","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308920","url":null,"abstract":"The load at distribution system is rapidly growing day by day due to increase in industrial, domestic and commercial needs. The increased demand in distribution system at load centers has been met by increasing the power generation. One of the alternative to meet the required load demand is reduction or minimization of power losses in distribution network. The losses are minimized by placing and sizing of capacitors or Distributed Generator (DG), increasing the size of conductor, changing the taps of the transformer etc. In today's world scenario, DGs are playing an important role in reduction of power losses for meeting the load demand at distribution system. Placement and sizing of DG for minimizing the power loss in distribution system is a combinatorial optimization problem. Efficient deterministic techniques are not available, hence metaheuristic are used to solve. Some efforts have been made to solve this combinatorial optimization problem for Constant power load by using Symbiotic Organism Search (SOS). The performance of SOS is better as compared with other algorithms. In this paper other than Constant power load (CP), two more load models i.e., Constant Current Load (CI) and Constant Impedance Load (CZ) have been also used as benchmark problems using Symbiotic Organism Search (SOS). The major advantage of SOS algorithm as compared to Genetic Algorithm is that SOS has better solution quality and does not require any controlling parameters. Results show that SOS has better performance as compared to GA. Two test bus systems 33 bus system and 85 bus system with different load models are considered for testing the algorithms.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134471637","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308965
C. Venkaiah, Rohan Jain
In this paper, Multi-Objective Decision Making (MODM) algorithm viz. Multi-Objective JAYA (MOJAYA) algorithm has been applied for the first time to optimally locate the Distributed Generations (DG) and to choose the optimal size of DGs in a Radial Distribution System (RDS) for achieving the multiple objectives of reducing power loss, improving voltage profile and stability. In order to maximize the DG owners profits and simultaneously achieve the above cited multiple objectives, Multi-Attributes Decision Making (MADM) methods such as Analytic Hierarchy Process (AHP), and Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS) have been utilized. The proposed MOJAYA algorithm has been applied on IEEE 33 bus RDS and the results thus obtained has resulted in maximizing the profits to the DG owners and achieved the multiple objectives of reducing power loss, improving voltage profile and improving voltage stability of the RDS.
{"title":"Multi-objective JAYA algorithm based optimal location and sizing of distributed generation in a radial distribution system","authors":"C. Venkaiah, Rohan Jain","doi":"10.1109/APPEEC.2017.8308965","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308965","url":null,"abstract":"In this paper, Multi-Objective Decision Making (MODM) algorithm viz. Multi-Objective JAYA (MOJAYA) algorithm has been applied for the first time to optimally locate the Distributed Generations (DG) and to choose the optimal size of DGs in a Radial Distribution System (RDS) for achieving the multiple objectives of reducing power loss, improving voltage profile and stability. In order to maximize the DG owners profits and simultaneously achieve the above cited multiple objectives, Multi-Attributes Decision Making (MADM) methods such as Analytic Hierarchy Process (AHP), and Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS) have been utilized. The proposed MOJAYA algorithm has been applied on IEEE 33 bus RDS and the results thus obtained has resulted in maximizing the profits to the DG owners and achieved the multiple objectives of reducing power loss, improving voltage profile and improving voltage stability of the RDS.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134518271","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8309002
L. Kumar, N. Kishor
This paper presents the study on local PSS control for Northern Regional Power Grid (NRPG) system of India. The complete analysis is conducted in MATLAB®. Power System Toolbox (PST) is used to obtain the linearized state space model of NRPG. Eigenvalue analysis suggests one poorly damped inter-area mode. The locations for two local Power System Stabilizers (PSSs) are suggested by modified residue approach. The PVr characteristics of the generators are used to design the compensating blocks of local PSSs which is the key step in PSSs design. For large scale power systems, MATLAB is used first time for designing the compensating blocks of PSSs by using its latest app, “control system designer”.
本文对印度北部区域电网(NRPG)系统的局部PSS控制进行了研究。完整的分析在MATLAB®中进行。利用Power System Toolbox (PST)获得了NRPG的线性化状态空间模型。特征值分析表明存在一种低阻尼区域间模式。利用修正残差法确定了两个局部电力系统稳定器的位置。利用发电机的PVr特性设计局部ppss的补偿模块，这是ppss设计的关键步骤。对于大型电力系统，首次使用MATLAB，利用其最新的应用程序“控制系统设计师”设计pss的补偿模块。
{"title":"Local PSS design for inter-area oscillation in northern regional power grid of India","authors":"L. Kumar, N. Kishor","doi":"10.1109/APPEEC.2017.8309002","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8309002","url":null,"abstract":"This paper presents the study on local PSS control for Northern Regional Power Grid (NRPG) system of India. The complete analysis is conducted in MATLAB®. Power System Toolbox (PST) is used to obtain the linearized state space model of NRPG. Eigenvalue analysis suggests one poorly damped inter-area mode. The locations for two local Power System Stabilizers (PSSs) are suggested by modified residue approach. The PVr characteristics of the generators are used to design the compensating blocks of local PSSs which is the key step in PSSs design. For large scale power systems, MATLAB is used first time for designing the compensating blocks of PSSs by using its latest app, “control system designer”.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134646959","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8309015
T. Reddy, B. Singh, V. Chippalkatti
This paper describes the parallel operation of two different multiple output flyback converter. Control analogy of this converters features master-slave control. Here, two converters are classified into Low Power (LP) and High Power (HP) flyback converters. Based on specifications, flyback topology is chosen differently in two converters. Switching frequency of both converters is 100KHz. UC1846 IC is employed for generating PWM gate pulse to the main switch. Outputs of the two converters are in dc continuous and pulsed form. Pulsed outputs have two different Pulse Repetitive Frequency (PRF) configuration generated through external pulse generator card. Control interconnection of LP and HP card is explained in detail. An external synchronization circuit is provided to synchronize with other modules. Here, inbuilt EMI filter, protection circuits are employed in both converters. The main performances of both converter such as Amplitude, line and load regulation, efficiency, droop, rise and fall time, and compact in size. Both converters are placed in a common mechanical package. LP and HP Circuit is miniaturized using Hybrid Micro Technology (HMC). Simulation and experiment results are demonstrated to validate the design with realized hardware.
{"title":"Parallel operation of two multiple outputs flyback converter with cascaded synchronization control","authors":"T. Reddy, B. Singh, V. Chippalkatti","doi":"10.1109/APPEEC.2017.8309015","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8309015","url":null,"abstract":"This paper describes the parallel operation of two different multiple output flyback converter. Control analogy of this converters features master-slave control. Here, two converters are classified into Low Power (LP) and High Power (HP) flyback converters. Based on specifications, flyback topology is chosen differently in two converters. Switching frequency of both converters is 100KHz. UC1846 IC is employed for generating PWM gate pulse to the main switch. Outputs of the two converters are in dc continuous and pulsed form. Pulsed outputs have two different Pulse Repetitive Frequency (PRF) configuration generated through external pulse generator card. Control interconnection of LP and HP card is explained in detail. An external synchronization circuit is provided to synchronize with other modules. Here, inbuilt EMI filter, protection circuits are employed in both converters. The main performances of both converter such as Amplitude, line and load regulation, efficiency, droop, rise and fall time, and compact in size. Both converters are placed in a common mechanical package. LP and HP Circuit is miniaturized using Hybrid Micro Technology (HMC). Simulation and experiment results are demonstrated to validate the design with realized hardware.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129806229","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308994
Ashish Laddha, S. Das, Abhik Hazra, M. Basu
Current writing implements and endorses social spider optimization (SOSPO) for optimal operational delineation in two hydel-thermic production networks with different boundings. Based on exploring behavior of social categorized spiders, the SOSPO possesses a capability to advance the universal results or the ones very close to them. In this writing, the SOSPO has been considered to improve convergence pace along with available benchmarking results. A confirmation regarding the SOSPO productivity has been made on these hydel-thermic networks possessing multiple tanks with back to back linking. Restricted operating sections have been considered for hydel producers. Ramping rate bounds and loading influence of valve point have been considered for thermic ones. Match ups between results of the SOSPO and that of long established evolution categorized techniques (EVLAL) have been performed. These match ups indicate that the SOSPO possesses an ability to provide better results corresponding to the objective goal imposed with boundations.
{"title":"Implementation of social spider optimization for optimized hydel-thermic operational delineation","authors":"Ashish Laddha, S. Das, Abhik Hazra, M. Basu","doi":"10.1109/APPEEC.2017.8308994","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308994","url":null,"abstract":"Current writing implements and endorses social spider optimization (SOSPO) for optimal operational delineation in two hydel-thermic production networks with different boundings. Based on exploring behavior of social categorized spiders, the SOSPO possesses a capability to advance the universal results or the ones very close to them. In this writing, the SOSPO has been considered to improve convergence pace along with available benchmarking results. A confirmation regarding the SOSPO productivity has been made on these hydel-thermic networks possessing multiple tanks with back to back linking. Restricted operating sections have been considered for hydel producers. Ramping rate bounds and loading influence of valve point have been considered for thermic ones. Match ups between results of the SOSPO and that of long established evolution categorized techniques (EVLAL) have been performed. These match ups indicate that the SOSPO possesses an ability to provide better results corresponding to the objective goal imposed with boundations.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"134 38","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113969953","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308948
Fan Wu, Jin-quan Zhao, Bin Zhu, Haiwei Wu, Dawei Su
The distributed generations (DGs) make the establishment of switch function complex, and the faulty section location methods for traditional distribution networks are no longer applicable. In order to improve the rapidity and accuracy of faulty section location, a Multi-Objective Particle Swarm Optimization (MOPSO) based faulty section location method for distribution networks with photovoltaic (PV) generations is proposed. The influence of fault current characteristics of PV generations under different light intensities is taken into account. Switch function for dynamic switching of PV generations is proposed. Since the single objective optimization intelligence algorithms easily cause the premature convergence and the computational complexity of the NSGA-II algorithm is high, the MOPSO algorithm is used to solve the problem, which can avoid the determination of the weighting factors. The simulation results show that the proposed method improves the rapidity and accuracy of location effectively, and has superior fault-tolerance to distortion information.
{"title":"A MOPSO based faulty section location method for distribution networks with PVs","authors":"Fan Wu, Jin-quan Zhao, Bin Zhu, Haiwei Wu, Dawei Su","doi":"10.1109/APPEEC.2017.8308948","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308948","url":null,"abstract":"The distributed generations (DGs) make the establishment of switch function complex, and the faulty section location methods for traditional distribution networks are no longer applicable. In order to improve the rapidity and accuracy of faulty section location, a Multi-Objective Particle Swarm Optimization (MOPSO) based faulty section location method for distribution networks with photovoltaic (PV) generations is proposed. The influence of fault current characteristics of PV generations under different light intensities is taken into account. Switch function for dynamic switching of PV generations is proposed. Since the single objective optimization intelligence algorithms easily cause the premature convergence and the computational complexity of the NSGA-II algorithm is high, the MOPSO algorithm is used to solve the problem, which can avoid the determination of the weighting factors. The simulation results show that the proposed method improves the rapidity and accuracy of location effectively, and has superior fault-tolerance to distortion information.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114481480","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308936
Y. H. Yang, Y. Xin, J. J. Zhou, W. Tang, B. Li
Typhoons have significant impacts on power transmission lines along coastlines. To improve the power system resilience and minimize economic losses, this paper develops a new method considering the spatial and temporal impact of typhoon, to evaluate the failure probability of transmission lines, based on a tropical cyclone (TC) wind model and a component vulnerability model. The model of TC wind depicts the wind field within the last closed isobar. The component vulnerability model is a fragility curve of transmission lines, which expresses the failure probability using the effective speed, is employed to connect the risk of failure with the typhoon situation. In addition, the Monte-Carlo method is applied to calculate the final breakdown probability of transmission lines. The proposed method is utilized to evaluate the failure probability of transmission lines in China during typhoon Vicente based on a numerical example, and the numerical results verify the presented method is effective.
{"title":"Failure probability estimation of transmission lines during typhoon based on tropical cyclone wind model and component vulnerability model","authors":"Y. H. Yang, Y. Xin, J. J. Zhou, W. Tang, B. Li","doi":"10.1109/APPEEC.2017.8308936","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308936","url":null,"abstract":"Typhoons have significant impacts on power transmission lines along coastlines. To improve the power system resilience and minimize economic losses, this paper develops a new method considering the spatial and temporal impact of typhoon, to evaluate the failure probability of transmission lines, based on a tropical cyclone (TC) wind model and a component vulnerability model. The model of TC wind depicts the wind field within the last closed isobar. The component vulnerability model is a fragility curve of transmission lines, which expresses the failure probability using the effective speed, is employed to connect the risk of failure with the typhoon situation. In addition, the Monte-Carlo method is applied to calculate the final breakdown probability of transmission lines. The proposed method is utilized to evaluate the failure probability of transmission lines in China during typhoon Vicente based on a numerical example, and the numerical results verify the presented method is effective.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128401323","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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