Pub Date : 2017-04-19DOI: 10.1109/SGCF.2017.7947617
Halil Erol, H. Sezer, S. Ayasun
This paper presents an effective and simple graphical method to compute all stabilizing Proportional Integral (PI) controller gains of a hybrid load frequency control (LFC) system that contains time delays due to use of open and distributed communication network. The method is based on extracting stability region and the stability boundary locus in the PI controller parameters. The accuracy of the proposed method is verified by time-domain simulations.
{"title":"Computation of all stabilizing PI controller parameters of hybrid load frequency control system with communication time delay","authors":"Halil Erol, H. Sezer, S. Ayasun","doi":"10.1109/SGCF.2017.7947617","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947617","url":null,"abstract":"This paper presents an effective and simple graphical method to compute all stabilizing Proportional Integral (PI) controller gains of a hybrid load frequency control (LFC) system that contains time delays due to use of open and distributed communication network. The method is based on extracting stability region and the stability boundary locus in the PI controller parameters. The accuracy of the proposed method is verified by time-domain simulations.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133181461","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 : 2017-04-19DOI: 10.1109/SGCF.2017.7947616
Faith Unal, Sami Ekici
In this study, a new approach is proposed for fault estimation in high voltage direct current transmission lines using discrete wavelet transform and extreme learning machine. Recently, signal processing and intelligent systems have gained importance to ease very different tasks such as fault location and estimation, load estimations, reactive power compensation, the risk of blackouts. Therefore, a fast, accurate and reliable protection algorithms have a major interest in the extended usage of high voltage direct current systems for many areas. In this study, single phase-ground faults on DC lines examined and a new machine learning approach also discussed. The virtual faults obtained from Matlab simulation is utilized in the course of feature extraction of the wavelet transform. Furthermore, for identifying steady state and faulted condition, Shannon entropy and signal’s energy values have been calculated by using coefficients of the wavelet transform. After that, the coefficients normalized between [-1,1]. Finally, the extreme learning machine used to fault estimation and location process.
{"title":"A Fault Location Technique for HVDC Transmission Lines using Extreme Learning Machines","authors":"Faith Unal, Sami Ekici","doi":"10.1109/SGCF.2017.7947616","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947616","url":null,"abstract":"In this study, a new approach is proposed for fault estimation in high voltage direct current transmission lines using discrete wavelet transform and extreme learning machine. Recently, signal processing and intelligent systems have gained importance to ease very different tasks such as fault location and estimation, load estimations, reactive power compensation, the risk of blackouts. Therefore, a fast, accurate and reliable protection algorithms have a major interest in the extended usage of high voltage direct current systems for many areas. In this study, single phase-ground faults on DC lines examined and a new machine learning approach also discussed. The virtual faults obtained from Matlab simulation is utilized in the course of feature extraction of the wavelet transform. Furthermore, for identifying steady state and faulted condition, Shannon entropy and signal’s energy values have been calculated by using coefficients of the wavelet transform. After that, the coefficients normalized between [-1,1]. Finally, the extreme learning machine used to fault estimation and location process.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130338283","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 : 2017-04-19DOI: 10.1109/SGCF.2017.7947606
Saadin Oyucu, Hüseyin Polat, Ahmet Aksoz, A. Saygin, E. Yılmaz
Main problem of energy is limited energy resources, because the energy consumption rapidly increases. Furthermore, efficiently use of energy is a way to reduce the problem. In this study, a smart lamp socket unit was developed to report the consumption values of the energy and to measure energy consumption in the lighting area where the consumption of electric energy is generally high. The smart lamp socket is able to communicate via wireless network connection and internet protocol. A machine to machine (M2M) platform has been developed for easily accessible user interaction, energy consumption tracking, management and reporting thanks to the smart lamp socket. Using the M2M platform, many smart lamp socket unit can be communicated at the same time. Thus any costumer can directly manage to save energy according to reported consumption data and observed the energy consumption in the lighting fields.
{"title":"Energy consuption monitoring with smart lamp socket for smart grid via M2M platform","authors":"Saadin Oyucu, Hüseyin Polat, Ahmet Aksoz, A. Saygin, E. Yılmaz","doi":"10.1109/SGCF.2017.7947606","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947606","url":null,"abstract":"Main problem of energy is limited energy resources, because the energy consumption rapidly increases. Furthermore, efficiently use of energy is a way to reduce the problem. In this study, a smart lamp socket unit was developed to report the consumption values of the energy and to measure energy consumption in the lighting area where the consumption of electric energy is generally high. The smart lamp socket is able to communicate via wireless network connection and internet protocol. A machine to machine (M2M) platform has been developed for easily accessible user interaction, energy consumption tracking, management and reporting thanks to the smart lamp socket. Using the M2M platform, many smart lamp socket unit can be communicated at the same time. Thus any costumer can directly manage to save energy according to reported consumption data and observed the energy consumption in the lighting fields.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121290291","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 : 2017-04-19DOI: 10.1109/SGCF.2017.7947601
G. Longoria, Lei Shi
To leverage the potential of bilateral contracts in the smart grid, we address the conflict-of-interest problem of designing energy portfolios. From the viewpoint of competing Utility companies, we present a game theoretical formulation for contract offering with integration of wind energy. We propose a heuristic algorithm, the Recursive Genetic Annealing algorithm (RGAn), to find the Nash-Equilibrium solution, that is, the best trade-off between cost and uncertainty. To hedge the portfolios, we model the decision making process as a non-cooperative game. Expected Utility theory is used to define the minimum cost energy mix. We show the RGAn outperforms the genetic algorithm.
{"title":"Nash-equilibrium electricity portfolios in the smart grid: A genetic annealing solution","authors":"G. Longoria, Lei Shi","doi":"10.1109/SGCF.2017.7947601","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947601","url":null,"abstract":"To leverage the potential of bilateral contracts in the smart grid, we address the conflict-of-interest problem of designing energy portfolios. From the viewpoint of competing Utility companies, we present a game theoretical formulation for contract offering with integration of wind energy. We propose a heuristic algorithm, the Recursive Genetic Annealing algorithm (RGAn), to find the Nash-Equilibrium solution, that is, the best trade-off between cost and uncertainty. To hedge the portfolios, we model the decision making process as a non-cooperative game. Expected Utility theory is used to define the minimum cost energy mix. We show the RGAn outperforms the genetic algorithm.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114701539","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 : 2017-04-19DOI: 10.1109/SGCF.2017.7947625
Alper Kerem, Ahmet Aksoz, A. Saygin, E. Yılmaz
A hybrid power system modeled in Matlab/Simulink environment is presented in this study. This model includes a hybrid system consisting of wind and solar panels and it is connected to the smart grid through a 6-switched 3-level inverter. A 6-switched 3-level inverter is preferred in this study as an inverter due to its success in minimizing the harmonics. The signals required for the operation of the semiconductor switches within the inverter are obtained by the space-vector pulse width modulation technique. The system fed the receivers by generating electricity energy and sent the generated excess energy to the grid (grid) on favorable conditions, that is, when wind and/or sun are sufficient for energy production. The receivers are fed by the grid on unfavorable conditions. By means of analyzing the performance of the system, it is determined that the system is stable.
{"title":"Smart grid integration of micro hybrid power system using 6-switched 3-level inverter","authors":"Alper Kerem, Ahmet Aksoz, A. Saygin, E. Yılmaz","doi":"10.1109/SGCF.2017.7947625","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947625","url":null,"abstract":"A hybrid power system modeled in Matlab/Simulink environment is presented in this study. This model includes a hybrid system consisting of wind and solar panels and it is connected to the smart grid through a 6-switched 3-level inverter. A 6-switched 3-level inverter is preferred in this study as an inverter due to its success in minimizing the harmonics. The signals required for the operation of the semiconductor switches within the inverter are obtained by the space-vector pulse width modulation technique. The system fed the receivers by generating electricity energy and sent the generated excess energy to the grid (grid) on favorable conditions, that is, when wind and/or sun are sufficient for energy production. The receivers are fed by the grid on unfavorable conditions. By means of analyzing the performance of the system, it is determined that the system is stable.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127027499","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 : 2017-04-19DOI: 10.1109/SGCF.2017.7947621
A. Basak, M. H. Sazli
Global positioning systems, that proved their success in the outdoors, cannot perform as well in enclosed environments because they suffer from absence of line of sight or bad reception quality of base stations. In this regard, methods are being developed for highest accuracy indoor locating performance with least cost. Among these methods localization with fingerprinting is far more superior to other indoor localization methods as it uses the surrounding signals in the environment for accurate positioning and is available to most common mobile devices. In this work, indoor fingerprinting algorithms for localization of mobile devices based on Correlation Database (CDB) Filtering, Genetic Algorithm (GA) and Big Bang — Big Crunch (BB-BC) are compared. Results show that using adaptive GA or BB-BC < 3 m error of %95 can be achieved with 4 Bluetooth Low Energy (BLE) beacons distributed around a 40 m2 testbed, compared to < 5.4 m for CDB Filtering.
{"title":"Accurate indoor localization with optimized fingerprinting algorithm","authors":"A. Basak, M. H. Sazli","doi":"10.1109/SGCF.2017.7947621","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947621","url":null,"abstract":"Global positioning systems, that proved their success in the outdoors, cannot perform as well in enclosed environments because they suffer from absence of line of sight or bad reception quality of base stations. In this regard, methods are being developed for highest accuracy indoor locating performance with least cost. Among these methods localization with fingerprinting is far more superior to other indoor localization methods as it uses the surrounding signals in the environment for accurate positioning and is available to most common mobile devices. In this work, indoor fingerprinting algorithms for localization of mobile devices based on Correlation Database (CDB) Filtering, Genetic Algorithm (GA) and Big Bang — Big Crunch (BB-BC) are compared. Results show that using adaptive GA or BB-BC < 3 m error of %95 can be achieved with 4 Bluetooth Low Energy (BLE) beacons distributed around a 40 m2 testbed, compared to < 5.4 m for CDB Filtering.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125910447","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 : 2017-04-19DOI: 10.1109/SGCF.2017.7947604
Naile Kaş, O. Tor, M. E. Cebeci, Melih Goktepe, Emrah Kalkan, Seyit Cem Yılmaz, A. N. Guven, A. Gundogdu
Capacity of distribution transformers is usually determined based on peak demand forecasted along a planning period. Peak demand actualizes at different seasons depending on the load characteristics of the transformers. For example, transformers at coastal towns essentially experience peak demand during summer periods. Although such transformers are loaded up to their capacities at summer seasons, their loading level reduces drastically during the off-season periods. This study addresses technical losses of such transformers and presents a solution to reduce the total transformer losses by means of implementing a low voltage express feeder (LVEF) between transformers close by. Total load of two nearby transformers is supplied by only one of the transformers through the LVEF while the other transformer is de-energized during off-season period. Depending on the criteria addressed in this study, this approach enables a decrease in the annual total loss of the system. Study includes a pilot implementation on-site.
{"title":"Theoretical and practical aspects of implementing a low voltage express feeder between nearby distribution transformers to reduce annual losses","authors":"Naile Kaş, O. Tor, M. E. Cebeci, Melih Goktepe, Emrah Kalkan, Seyit Cem Yılmaz, A. N. Guven, A. Gundogdu","doi":"10.1109/SGCF.2017.7947604","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947604","url":null,"abstract":"Capacity of distribution transformers is usually determined based on peak demand forecasted along a planning period. Peak demand actualizes at different seasons depending on the load characteristics of the transformers. For example, transformers at coastal towns essentially experience peak demand during summer periods. Although such transformers are loaded up to their capacities at summer seasons, their loading level reduces drastically during the off-season periods. This study addresses technical losses of such transformers and presents a solution to reduce the total transformer losses by means of implementing a low voltage express feeder (LVEF) between transformers close by. Total load of two nearby transformers is supplied by only one of the transformers through the LVEF while the other transformer is de-energized during off-season period. Depending on the criteria addressed in this study, this approach enables a decrease in the annual total loss of the system. Study includes a pilot implementation on-site.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129707105","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 : 2017-04-19DOI: 10.1109/SGCF.2017.7947609
A. A. Mohamed, R. El-Sharkawy, W. Omran
This paper focuses on the power management of renewable energy based distributed generators (RDGs) installed in medium voltage distribution networks (DNs). The goal of the study is to propose a strategy that improves the operation of the distribution network by utilizing the available resources efficiently. This is achieved by continuously managing the output power from the RDGs to meet the required demand. To achieve this task, the proposed strategy is divided into two stages; short-term planning stage and distribution network operation stage. In the short term planning stage, optimal power flow (OPF) is used to determine the output of the RDGs using forecasted data. The aim of the OPF is to minimize the power loss of the distribution network. The second stage aims to manage the actual output power of the RDGs using a multi-agent system (MAS). This stage is responsible for controlling any power imbalance that occurs between the generation and demand in each zone until the OPF is executed in the next time step. The OPF is performed using Particle Swarm Optimization (PSO) implemented in MATLAB, while the MAS is implemented in the JADE environment.
{"title":"Power management strategy to enhance the operation of active distribution networks","authors":"A. A. Mohamed, R. El-Sharkawy, W. Omran","doi":"10.1109/SGCF.2017.7947609","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947609","url":null,"abstract":"This paper focuses on the power management of renewable energy based distributed generators (RDGs) installed in medium voltage distribution networks (DNs). The goal of the study is to propose a strategy that improves the operation of the distribution network by utilizing the available resources efficiently. This is achieved by continuously managing the output power from the RDGs to meet the required demand. To achieve this task, the proposed strategy is divided into two stages; short-term planning stage and distribution network operation stage. In the short term planning stage, optimal power flow (OPF) is used to determine the output of the RDGs using forecasted data. The aim of the OPF is to minimize the power loss of the distribution network. The second stage aims to manage the actual output power of the RDGs using a multi-agent system (MAS). This stage is responsible for controlling any power imbalance that occurs between the generation and demand in each zone until the OPF is executed in the next time step. The OPF is performed using Particle Swarm Optimization (PSO) implemented in MATLAB, while the MAS is implemented in the JADE environment.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124122792","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 : 2017-04-19DOI: 10.1109/SGCF.2017.7947614
Mucahit Karaduman, H. Eren
Smart cities have been drawing attention of researchers as seen in recent intensive studies. In associated with this fact, this situation is expected to continue in future works. In other side, smart vehicles are an indispensable part of smart cities. Scientists have been researching vehicles and transportation in order to reach safe and comfortable mobility. Among these vehicles, cars are the first ones that affect human life. In this study, smart cars and their drivers are elaborated in behavioral aspect. Existing works have been discussed to figure out futuristic driving behavior in smart city environment. In order to understand human thought system, additional studies have been given and recommendations have been provided. As seen in the researches conducted in recent years, researchers have been tried to interpret behavior of drivers by examining data taken by smart phones and vehicle OBD output. Evaluations are conducted by result of the specified methods. In recent decade, it has been observed that these behaviors are not only estimations; but also systems mounted on vehicles learn overall driving behavior. Hence, developed systems should work online while drivers on steering wheel. Consequently, this study will enlighten existing trends for different types of learning schemes. Future studies are expected to combine car, driver's biologic, psychological, and environmental data. Thus, in the near future, systems that understand the human thought will be developed.
{"title":"Smart driving in smart city","authors":"Mucahit Karaduman, H. Eren","doi":"10.1109/SGCF.2017.7947614","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947614","url":null,"abstract":"Smart cities have been drawing attention of researchers as seen in recent intensive studies. In associated with this fact, this situation is expected to continue in future works. In other side, smart vehicles are an indispensable part of smart cities. Scientists have been researching vehicles and transportation in order to reach safe and comfortable mobility. Among these vehicles, cars are the first ones that affect human life. In this study, smart cars and their drivers are elaborated in behavioral aspect. Existing works have been discussed to figure out futuristic driving behavior in smart city environment. In order to understand human thought system, additional studies have been given and recommendations have been provided. As seen in the researches conducted in recent years, researchers have been tried to interpret behavior of drivers by examining data taken by smart phones and vehicle OBD output. Evaluations are conducted by result of the specified methods. In recent decade, it has been observed that these behaviors are not only estimations; but also systems mounted on vehicles learn overall driving behavior. Hence, developed systems should work online while drivers on steering wheel. Consequently, this study will enlighten existing trends for different types of learning schemes. Future studies are expected to combine car, driver's biologic, psychological, and environmental data. Thus, in the near future, systems that understand the human thought will be developed.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132356946","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 : 2017-04-19DOI: 10.1109/SGCF.2017.7947608
M. Şahin, A. Sharaf
This paper presents a novel fully controlled, flexible and self-adjusting LED lighting PV-Battery powered scheme using a pulse-width modulation (PWM) switching. This scheme is controlled a dual-loop error driven, time descaled, weighted modified proportional-integral-derivative (WM-PID) control scheme for the photovoltaic (PV)-battery interfaced to the light emitting diode (LED) lighting load. It enhances damping of transient voltage and reduces inrush current for a stabilized common DC bus to the LED load. The novel proposed flexible controller utilizes a regulated dual-loop error-driven, error-time descaled controller for the PWM switching circuit along with MOSFET/IGBT switch components. The dual-action regulator uses error driven WM-PID controller with fast acting error squared loops to ensure efficient control action. In addition, common DC-bus stabilization under severe load excursions, temporary DC side faults, and inrush current conditions are performed.
{"title":"A novel efficient PV — Battery powered LED lighting scheme","authors":"M. Şahin, A. Sharaf","doi":"10.1109/SGCF.2017.7947608","DOIUrl":"https://doi.org/10.1109/SGCF.2017.7947608","url":null,"abstract":"This paper presents a novel fully controlled, flexible and self-adjusting LED lighting PV-Battery powered scheme using a pulse-width modulation (PWM) switching. This scheme is controlled a dual-loop error driven, time descaled, weighted modified proportional-integral-derivative (WM-PID) control scheme for the photovoltaic (PV)-battery interfaced to the light emitting diode (LED) lighting load. It enhances damping of transient voltage and reduces inrush current for a stabilized common DC bus to the LED load. The novel proposed flexible controller utilizes a regulated dual-loop error-driven, error-time descaled controller for the PWM switching circuit along with MOSFET/IGBT switch components. The dual-action regulator uses error driven WM-PID controller with fast acting error squared loops to ensure efficient control action. In addition, common DC-bus stabilization under severe load excursions, temporary DC side faults, and inrush current conditions are performed.","PeriodicalId":207857,"journal":{"name":"2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131800701","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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