Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008945
R. Shankar
This paper highlights the effect of energy storage device i.e. Redox Flow Battery (RFB) in the interconnected power system. The overall power system contains conventional thermal, hydro, gas and wind power plant in a two area power system. The thermal power plant comprises certain physical non-linearities like Generation Rate Constraint (GRC) and Governor dead band (GDB) for realistic approach. This paper also comprises the effect of a Flexible Alternating Current (AC) Transmission System (FACTS) device i.e. Interline Power Flow Controller (IPFC) in series with tie line. A Proportional-Integral-Derivative (PID) controller with a derivative filter is introduced to control the power system and externally attenuate the noise in the system. At last a powerful meta-heuristic Grey Wolf Optimization (GWO) is used to tune controllers and other parameters in the system.
{"title":"Grey Wolf Algorithm based Control Strategy for Load Frequency Control in Coordination with IPFC","authors":"R. Shankar","doi":"10.1109/ICRIEECE44171.2018.9008945","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008945","url":null,"abstract":"This paper highlights the effect of energy storage device i.e. Redox Flow Battery (RFB) in the interconnected power system. The overall power system contains conventional thermal, hydro, gas and wind power plant in a two area power system. The thermal power plant comprises certain physical non-linearities like Generation Rate Constraint (GRC) and Governor dead band (GDB) for realistic approach. This paper also comprises the effect of a Flexible Alternating Current (AC) Transmission System (FACTS) device i.e. Interline Power Flow Controller (IPFC) in series with tie line. A Proportional-Integral-Derivative (PID) controller with a derivative filter is introduced to control the power system and externally attenuate the noise in the system. At last a powerful meta-heuristic Grey Wolf Optimization (GWO) is used to tune controllers and other parameters in the system.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132231487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008871
W. Nowakowski, P. Bojarczak, Z. Łukasik
The basic function of railway automation systems is allowing a safe and fluent railway traffic control. Along with the technical progress these systems are constantly being improved. The process of their development at the moment is influenced by the modern information technology, that is why the contemporary railway automation systems are computer systems. They allow a remote control of the railway traffic on many train service stations from one place, which is Operation Control Centre (OCC). This subject is also related to the centralization of the railway automation systems technical diagnosis in Maintenance and Diagnostics Centres (MDC). Despite the constant technical progress, there are no standards concerning the way and range of gathering diagnostic data and the method of its analysis. The authors of the article have noticed this important issue and have decided to make an attempt to formulate and develop a method of railway automation systems diagnosis. The method proposed in the article can be counted as logic diagnosis and one of the Bayesian methods. A verification of the method has been performed on the example of a Level Crossing Protection System (LCPS). The obtained positive effects are an encouragement for further research and consideration of other types of railway automation systems.
{"title":"Railway automation systems diagnosis based on Bayesian method","authors":"W. Nowakowski, P. Bojarczak, Z. Łukasik","doi":"10.1109/ICRIEECE44171.2018.9008871","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008871","url":null,"abstract":"The basic function of railway automation systems is allowing a safe and fluent railway traffic control. Along with the technical progress these systems are constantly being improved. The process of their development at the moment is influenced by the modern information technology, that is why the contemporary railway automation systems are computer systems. They allow a remote control of the railway traffic on many train service stations from one place, which is Operation Control Centre (OCC). This subject is also related to the centralization of the railway automation systems technical diagnosis in Maintenance and Diagnostics Centres (MDC). Despite the constant technical progress, there are no standards concerning the way and range of gathering diagnostic data and the method of its analysis. The authors of the article have noticed this important issue and have decided to make an attempt to formulate and develop a method of railway automation systems diagnosis. The method proposed in the article can be counted as logic diagnosis and one of the Bayesian methods. A verification of the method has been performed on the example of a Level Crossing Protection System (LCPS). The obtained positive effects are an encouragement for further research and consideration of other types of railway automation systems.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"79 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133287204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009418
S. Swain, Amarjyoti Gogoi, Shubham Sharma, Ritesh Dash, A. Acharya
This research paper presents Maximum PowerPoint Tracking method used in solar photovoltaic grid connected PV system under different solar radiation and temperature. As because the output of the PV panel is non¬linear hence current and voltage of the solar PV panel behaves as a non-linear characteristic which ultimately depends upon environmental parameter and thereby causing change is maximum output power of the PV panel. At different environmental condition the solar photovoltaic set its MPP. In order to operate the PV system at different MPP so as to extract the maximum available power it is required to control the buck-boost converter proportional to the output level of the PV panel. In this paper fuzzy logic based MPPT has implemented whose output is fed to the boost converter for increasing the efficiency of the system. PI controller is used as a current control technique for obtaining satisfactory performance. The goal of this paper is to achieve higher efficiency from solar photovoltaic system by operating the system at its MPP. MATLAB Simulink is used to model the solar photovoltaic system. The result obtained fro the simulation can be implemented in Homer for optimizing the fuel cost.
{"title":"Some Aspects of Fuzzy Logic Controller for Designing MPPT Based SPV System","authors":"S. Swain, Amarjyoti Gogoi, Shubham Sharma, Ritesh Dash, A. Acharya","doi":"10.1109/ICRIEECE44171.2018.9009418","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009418","url":null,"abstract":"This research paper presents Maximum PowerPoint Tracking method used in solar photovoltaic grid connected PV system under different solar radiation and temperature. As because the output of the PV panel is non¬linear hence current and voltage of the solar PV panel behaves as a non-linear characteristic which ultimately depends upon environmental parameter and thereby causing change is maximum output power of the PV panel. At different environmental condition the solar photovoltaic set its MPP. In order to operate the PV system at different MPP so as to extract the maximum available power it is required to control the buck-boost converter proportional to the output level of the PV panel. In this paper fuzzy logic based MPPT has implemented whose output is fed to the boost converter for increasing the efficiency of the system. PI controller is used as a current control technique for obtaining satisfactory performance. The goal of this paper is to achieve higher efficiency from solar photovoltaic system by operating the system at its MPP. MATLAB Simulink is used to model the solar photovoltaic system. The result obtained fro the simulation can be implemented in Homer for optimizing the fuel cost.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132121865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008936
Rajni, C. Rai
This paper incorporates a ℓ0 –norm sparsity constraint into variable step size normalized least mean square (ℓ0 -VSSNLMS) algorithm for identification of sparse system corrupted by additive noise. The proposed ℓ0–VSSNLMS algorithm makes a good fairness between convergence characteristics, filter stability and steady state error. The proposed (ℓ0 -VSSNLMS) algorithm incorporates a variable step size that accelerates the convergence characteristics and lowers the mean square deviation (MSD) error than in ℓ0 - NLMS with constant value of step size. The inclusive theoretical performance of ℓ0 -VSSSNLMS algorithm is analyzed in this paper with white Gaussian input under some assumptions which are suitable for practical purpose. An expression for variant step size is derived under the stability condition of proposed algorithm. Finally the implementation of the proposed algorithm is carried out in MATLAB software to manifest the improved beavior in identification of sparse system.
{"title":"Performance Analysis of ℓ0-Norm Constraint Variable Step Size Normalized Least Mean Square Algorithm","authors":"Rajni, C. Rai","doi":"10.1109/ICRIEECE44171.2018.9008936","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008936","url":null,"abstract":"This paper incorporates a ℓ0 –norm sparsity constraint into variable step size normalized least mean square (ℓ0 -VSSNLMS) algorithm for identification of sparse system corrupted by additive noise. The proposed ℓ0–VSSNLMS algorithm makes a good fairness between convergence characteristics, filter stability and steady state error. The proposed (ℓ0 -VSSNLMS) algorithm incorporates a variable step size that accelerates the convergence characteristics and lowers the mean square deviation (MSD) error than in ℓ0 - NLMS with constant value of step size. The inclusive theoretical performance of ℓ0 -VSSSNLMS algorithm is analyzed in this paper with white Gaussian input under some assumptions which are suitable for practical purpose. An expression for variant step size is derived under the stability condition of proposed algorithm. Finally the implementation of the proposed algorithm is carried out in MATLAB software to manifest the improved beavior in identification of sparse system.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129003642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009156
V. Kamesh, Nagarjuna Pampana, Mohit Sinha, S. Bandopadhaya
In this paper, a novel audio fingerprint technique with higher matching depth at a reduced computational complexity has been proposed. Any audio clip can be identified from a huge audio collection by its audio fingerprint which contains some unique extractable and perceivable features of it. One of the major concern in the process of identification of a sample audio clip from huge audio collection is the computational complexity involved in it. In proposed technique, peak pairs are chosen from the alternate time bins sorted in the descending order of the amplitude of the spectrogram of the audio file under consideration, as opposed to the sequential selection across consecutive time bins in the decreasing order of their amplitude in the basic methods. This paper also proposes a simple mode based ranking algorithm to provide the user with multiples matches in case of a possible false positive match.
{"title":"Audio Fingerprinting with Higher Matching Depth at Reduced Computational Complexity","authors":"V. Kamesh, Nagarjuna Pampana, Mohit Sinha, S. Bandopadhaya","doi":"10.1109/ICRIEECE44171.2018.9009156","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009156","url":null,"abstract":"In this paper, a novel audio fingerprint technique with higher matching depth at a reduced computational complexity has been proposed. Any audio clip can be identified from a huge audio collection by its audio fingerprint which contains some unique extractable and perceivable features of it. One of the major concern in the process of identification of a sample audio clip from huge audio collection is the computational complexity involved in it. In proposed technique, peak pairs are chosen from the alternate time bins sorted in the descending order of the amplitude of the spectrogram of the audio file under consideration, as opposed to the sequential selection across consecutive time bins in the decreasing order of their amplitude in the basic methods. This paper also proposes a simple mode based ranking algorithm to provide the user with multiples matches in case of a possible false positive match.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123993901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009362
B. Veadesh, S. Ravi, B. Venkatapragadeesh
The System On-Chip (SoC) is where the most extreme innovation is packed into the least possible conceivable space on a single chip. As the systems intricacy increase and will with time as per Moore’s law, several challenges are being faced by the designers such as meeting the scalability of the systems, heterogeneousness of the whole bundle with different library files and coding dialects should be bundled together, synchronizing different clock domains across the systems as different systems use different clocks, de-skewing global and regional signals with high fanout and issues in coupling the systems. In SoC, there is a high complexity due to the inseparability of the computational processes and routing. NoC (Network On-Chip) presents a proficient instrument for routing which overcomes the shortcomings of the traditional buses and interconnects to allow efficient communication across the IP (Intellectual Property) cores in SoC devices. It separates the processing elements and routing elements and allow them to operate independently to great extents. The arbitration schemes, Topology and switching mechanism are important aspects which have direct impact on performance of NoC. In this a paper, a circuit switching based low latency 3D NoC architecture is presented. Here mesh topology is used and there exists a Virtual Connection from any input port to any output port. This architecture mainly consists of Arbiter, Network Interface Module and Crossbar switch which are designed using Verilog HDL and implemented on Microsemi FPGA with Target device MPF300TS_ES1FCG1152I. The results promise a low latency, low resource utilized and high throughput router design.
{"title":"Design and Analysis of an efficient 3D – Network On – Chip (NoC) Router","authors":"B. Veadesh, S. Ravi, B. Venkatapragadeesh","doi":"10.1109/ICRIEECE44171.2018.9009362","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009362","url":null,"abstract":"The System On-Chip (SoC) is where the most extreme innovation is packed into the least possible conceivable space on a single chip. As the systems intricacy increase and will with time as per Moore’s law, several challenges are being faced by the designers such as meeting the scalability of the systems, heterogeneousness of the whole bundle with different library files and coding dialects should be bundled together, synchronizing different clock domains across the systems as different systems use different clocks, de-skewing global and regional signals with high fanout and issues in coupling the systems. In SoC, there is a high complexity due to the inseparability of the computational processes and routing. NoC (Network On-Chip) presents a proficient instrument for routing which overcomes the shortcomings of the traditional buses and interconnects to allow efficient communication across the IP (Intellectual Property) cores in SoC devices. It separates the processing elements and routing elements and allow them to operate independently to great extents. The arbitration schemes, Topology and switching mechanism are important aspects which have direct impact on performance of NoC. In this a paper, a circuit switching based low latency 3D NoC architecture is presented. Here mesh topology is used and there exists a Virtual Connection from any input port to any output port. This architecture mainly consists of Arbiter, Network Interface Module and Crossbar switch which are designed using Verilog HDL and implemented on Microsemi FPGA with Target device MPF300TS_ES1FCG1152I. The results promise a low latency, low resource utilized and high throughput router design.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124577315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009349
S. Rawat, Bhumika Gupta
Segmentation of biomedical images is an essential requirement in image processing for assessment of different medical images i.e. microscopic, MRI and US. It can be a crucial step for decision support or can get the second opinion for medical expert for atypical cases. There are numerous segmentation methods available for different kind of images. An image segmentation method based on hybrid approach using Darwinian particle swarm optimizer and fuzzy C-means is implemented in this work for various medical and multimedia images. In the present work Darwinian particle swarm optimizer tries to solve the problems regarding the segmentation. The proposed method firstly initializes each of the particles present in the swarm with membership value of each pixel belonging to particular centroids with respect to fuzzy C-means and then optimizes the centroids values using Darwinian particle swarm optimizer. An efficient method for segmenting different areas and edges of various images is implemented in this work. For validating the output of proposed algorithm, it is compared with other segmentation techniques i.e FCM and FCM_PSO. Segmentation is evaluated on ground truth using various indexes. Finally, it is observed that the proposed technique turns out to be more consistent on segmenting the different medical and multimedia images.
{"title":"Image Segmentation using FCM-Darwinian Particle Swarm Optimization","authors":"S. Rawat, Bhumika Gupta","doi":"10.1109/ICRIEECE44171.2018.9009349","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009349","url":null,"abstract":"Segmentation of biomedical images is an essential requirement in image processing for assessment of different medical images i.e. microscopic, MRI and US. It can be a crucial step for decision support or can get the second opinion for medical expert for atypical cases. There are numerous segmentation methods available for different kind of images. An image segmentation method based on hybrid approach using Darwinian particle swarm optimizer and fuzzy C-means is implemented in this work for various medical and multimedia images. In the present work Darwinian particle swarm optimizer tries to solve the problems regarding the segmentation. The proposed method firstly initializes each of the particles present in the swarm with membership value of each pixel belonging to particular centroids with respect to fuzzy C-means and then optimizes the centroids values using Darwinian particle swarm optimizer. An efficient method for segmenting different areas and edges of various images is implemented in this work. For validating the output of proposed algorithm, it is compared with other segmentation techniques i.e FCM and FCM_PSO. Segmentation is evaluated on ground truth using various indexes. Finally, it is observed that the proposed technique turns out to be more consistent on segmenting the different medical and multimedia images.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127654927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9008977
S. Swain, Ramakanta Jena, Shaswat Chirantan, P. C. Panda
The Controlled Reactive Power Gives the Desired Optimal flow of Power in the line. The FACTS devices effectively control the flow of Power in the lines. Improvement of voltage profile and minimization of losses are studied here with Optimal and non- Optimal Power Flow. The effectiveness and suitability of UPFC controllers are being discussed and is demonstrated through an Example and is clear that this device has the capability of regulating the flow of power, minimization of power losses.
{"title":"Optimal Power Flow Study Using UPFC","authors":"S. Swain, Ramakanta Jena, Shaswat Chirantan, P. C. Panda","doi":"10.1109/ICRIEECE44171.2018.9008977","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9008977","url":null,"abstract":"The Controlled Reactive Power Gives the Desired Optimal flow of Power in the line. The FACTS devices effectively control the flow of Power in the lines. Improvement of voltage profile and minimization of losses are studied here with Optimal and non- Optimal Power Flow. The effectiveness and suitability of UPFC controllers are being discussed and is demonstrated through an Example and is clear that this device has the capability of regulating the flow of power, minimization of power losses.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127940066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009234
Shaswat Chirantan, Ramakanta Jena, S. Swain, P. C. Panda
Power system stability dilemma demonstrates the effect of generator electro-mechanical oscillations & rotor angle swings on electrical grids.Power System Stabilizers(PSS) is an excitation controller used to damp out the generator electromechanical oscillations & rotor angle swings.But in severe faulted condition PSS cannot damped out the oscillations alone such as in case of a LLL-G fault.So in order to make the system stable by damping generator oscillations & rotor angle swings FACTS controllers(Flexible AC Transmission System) along with PSS are used cumulatively in power system.In this paper,transient stability studies of a two machine long transmission system with PSS(both generic & multi-band type) & SVC(Static Var Compensator) a shunt based FACTS controller for L-G fault & LLL-G fault have been investigated.All the performance analysis have been undergone using MATLAB simulation.
电力系统的稳定性困境反映了发电机机电振荡和转子角度摆动对电网的影响。电力系统稳定器(PSS)是一种用于抑制发电机机电振荡和转子角度摆动的励磁控制器。但在严重的故障情况下，PSS不能单独抑制振荡，例如在LLL-G故障情况下。为了通过阻尼发电机的振动和转子的角度摆动来保证系统的稳定，FACTS控制器(Flexible AC Transmission system)和PSS在电力系统中得到了广泛的应用。本文研究了具有PSS(通用型和多频带型)和SVC(静态无功补偿器)的双机长传动系统的暂态稳定性问题，SVC是一种基于并联的L-G故障和ll - g故障FACTS控制器。所有的性能分析都通过MATLAB仿真完成。
{"title":"Transient Stability Analysis of a Two Machine Long Transmission System with Power System Stabilizer & Static Var Compensator","authors":"Shaswat Chirantan, Ramakanta Jena, S. Swain, P. C. Panda","doi":"10.1109/ICRIEECE44171.2018.9009234","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009234","url":null,"abstract":"Power system stability dilemma demonstrates the effect of generator electro-mechanical oscillations & rotor angle swings on electrical grids.Power System Stabilizers(PSS) is an excitation controller used to damp out the generator electromechanical oscillations & rotor angle swings.But in severe faulted condition PSS cannot damped out the oscillations alone such as in case of a LLL-G fault.So in order to make the system stable by damping generator oscillations & rotor angle swings FACTS controllers(Flexible AC Transmission System) along with PSS are used cumulatively in power system.In this paper,transient stability studies of a two machine long transmission system with PSS(both generic & multi-band type) & SVC(Static Var Compensator) a shunt based FACTS controller for L-G fault & LLL-G fault have been investigated.All the performance analysis have been undergone using MATLAB simulation.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128018793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/ICRIEECE44171.2018.9009260
Ramandeep Kaur, Simranjit Singh
In this paper, a symmetric 80Gbps next generation passive optical network (NG-PON) architecture has been presented. To achieve 80Gbps symmetric data rate, eight pairs of wavelengths have been used. Wavelength division multiplexing (WDM) technique is used at the central office (CO) to transmit downstream data. For downstream access, each wavelength is divided into eight parts by 1×8 splitter and the system supports 64 ONUs (Optical network units). All the 64 ONUs transmits their upstream data by sharing eight upstream wavelengths using time wavelength division multiplexing (TWDM). The performance of the system has been assessed in terms of minimum bit error rate (BER) and Q-factor for the varied distance from 10 km to 100 km. From the results, it has been observed that the presented system works well up to 65 km system length.
{"title":"A Time and Wavelength Division Multiplexing based Next Generation Passive Optical Networks Provisioning 80Gbps Symmetrical Access Rate","authors":"Ramandeep Kaur, Simranjit Singh","doi":"10.1109/ICRIEECE44171.2018.9009260","DOIUrl":"https://doi.org/10.1109/ICRIEECE44171.2018.9009260","url":null,"abstract":"In this paper, a symmetric 80Gbps next generation passive optical network (NG-PON) architecture has been presented. To achieve 80Gbps symmetric data rate, eight pairs of wavelengths have been used. Wavelength division multiplexing (WDM) technique is used at the central office (CO) to transmit downstream data. For downstream access, each wavelength is divided into eight parts by 1×8 splitter and the system supports 64 ONUs (Optical network units). All the 64 ONUs transmits their upstream data by sharing eight upstream wavelengths using time wavelength division multiplexing (TWDM). The performance of the system has been assessed in terms of minimum bit error rate (BER) and Q-factor for the varied distance from 10 km to 100 km. From the results, it has been observed that the presented system works well up to 65 km system length.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128019779","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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