Pub Date : 2014-12-01DOI: 10.1109/SGC.2014.7090855
N. Neyestani, M. Yazdani Damavandi, M. Shafie‐khah, J. Catalão, G. Chicco
Smart local energy networks represent a key option for more penetration of sustainably developed facilities. These facilities can cause an extended dependency in both time and carrier domains which should be considered through a comprehensive model. This paper introduces a new concept of internal and external dependencies. The concept is related to penetration of energy converters on demand side and the effects they bring to the system. Being achieved by implementation of smart grid, dependencies release operational flexibility and subsequently enhance the system efficiency. The model contains, carrier based demand response which preserves consumers satisfaction by utilizing the flexibility in exchanging the input energy carrier instead of changing end-usage pattern. The paper develops the coupling matrix model for smart multi-energy systems considering the external dependency as an added module to the overall model.
{"title":"Modeling the carrier dependencies on demand-side in a smart multi-energy local network","authors":"N. Neyestani, M. Yazdani Damavandi, M. Shafie‐khah, J. Catalão, G. Chicco","doi":"10.1109/SGC.2014.7090855","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090855","url":null,"abstract":"Smart local energy networks represent a key option for more penetration of sustainably developed facilities. These facilities can cause an extended dependency in both time and carrier domains which should be considered through a comprehensive model. This paper introduces a new concept of internal and external dependencies. The concept is related to penetration of energy converters on demand side and the effects they bring to the system. Being achieved by implementation of smart grid, dependencies release operational flexibility and subsequently enhance the system efficiency. The model contains, carrier based demand response which preserves consumers satisfaction by utilizing the flexibility in exchanging the input energy carrier instead of changing end-usage pattern. The paper develops the coupling matrix model for smart multi-energy systems considering the external dependency as an added module to the overall model.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125545075","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090881
Payam Mahmoudi Nasr, A. Y. Varjani
Insider attacks are one of the most dangerous threats on security of critical infrastructures. An insider attack occurs when an authorized operator misuse the permissions, and brings catastrophic damages by sending legitimate control commands. Therefore, insider attacks have great impact and higher success rate, and it is difficult to predict and protect against them. This paper, by study on the SCADA alarms, proposes a new alarm based statistical anomaly detection method to identify potential insider attacks at substations and total transmission system in power grid. To demonstrate the proposed method, two insider attack scenarios have been simulated at both substations level and transmission system. Experimental scenarios illustrate proposed method is effective, and anomalies can be detected by minimum number of alarms.
{"title":"Alarm based anomaly detection of insider attacks in SCADA system","authors":"Payam Mahmoudi Nasr, A. Y. Varjani","doi":"10.1109/SGC.2014.7090881","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090881","url":null,"abstract":"Insider attacks are one of the most dangerous threats on security of critical infrastructures. An insider attack occurs when an authorized operator misuse the permissions, and brings catastrophic damages by sending legitimate control commands. Therefore, insider attacks have great impact and higher success rate, and it is difficult to predict and protect against them. This paper, by study on the SCADA alarms, proposes a new alarm based statistical anomaly detection method to identify potential insider attacks at substations and total transmission system in power grid. To demonstrate the proposed method, two insider attack scenarios have been simulated at both substations level and transmission system. Experimental scenarios illustrate proposed method is effective, and anomalies can be detected by minimum number of alarms.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128472811","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090853
S. Abapour, Sayyad Nojavan, K. Zare, M. Abapour
This paper proposes a new paradigm for distribution system operation with considering Demand Response Programs (DRP). In this paper is focused to study the effect of DRP on total cost function, where the time-based demand response programs have been modeled and consequently its influence on load profile has been discussed. This paper presents a cost function that minimizes energy cost of Distribution Network Operator (DNO). The proposed objective function is determined based on optimal power flow and with considering the technical constraints. The results of DRP method are compared without them. The analysis was carried out successfully considering a 33- bus distribution network. This paper uses GAMS software to solve the short-term operation problem on case study.
{"title":"Operation of Distribution Network with Considering","authors":"S. Abapour, Sayyad Nojavan, K. Zare, M. Abapour","doi":"10.1109/SGC.2014.7090853","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090853","url":null,"abstract":"This paper proposes a new paradigm for distribution system operation with considering Demand Response Programs (DRP). In this paper is focused to study the effect of DRP on total cost function, where the time-based demand response programs have been modeled and consequently its influence on load profile has been discussed. This paper presents a cost function that minimizes energy cost of Distribution Network Operator (DNO). The proposed objective function is determined based on optimal power flow and with considering the technical constraints. The results of DRP method are compared without them. The analysis was carried out successfully considering a 33- bus distribution network. This paper uses GAMS software to solve the short-term operation problem on case study.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128438240","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090865
A. A. Khodadoost Arani, G. Gharehpetian
Recently connection of some Distributed generation and load has created Microgrids (MGs). This MG can operate in grid connected mode or disconnects from main grid. Maintaining stability of MG When it is disconnected from main grid, is an important problem. Frequency stability is one of aspects of stability. Using of energy storage with appropriate control strategy can be effective in this subject. In this paper A flywheel energy storage system (FESS) in detailed is described and is used for frequency control in islanding mode. Two control strategies for DGs inverters are stated and suitable method for each DG and FESS is selected. Simulation is carried by MATLAB/Simulink. Two case studies are examined. In two cases, FESS effect on frequency in islanding process is discussed. Results of simulation verify appropriate operation of FESS and confirm effectiveness of this application.
{"title":"Enhancement of microgrid frequency control subsequent to islanding process using flywheel energy storage system","authors":"A. A. Khodadoost Arani, G. Gharehpetian","doi":"10.1109/SGC.2014.7090865","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090865","url":null,"abstract":"Recently connection of some Distributed generation and load has created Microgrids (MGs). This MG can operate in grid connected mode or disconnects from main grid. Maintaining stability of MG When it is disconnected from main grid, is an important problem. Frequency stability is one of aspects of stability. Using of energy storage with appropriate control strategy can be effective in this subject. In this paper A flywheel energy storage system (FESS) in detailed is described and is used for frequency control in islanding mode. Two control strategies for DGs inverters are stated and suitable method for each DG and FESS is selected. Simulation is carried by MATLAB/Simulink. Two case studies are examined. In two cases, FESS effect on frequency in islanding process is discussed. Results of simulation verify appropriate operation of FESS and confirm effectiveness of this application.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127939130","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090884
M. R. Poursistani, M. Abedi, N. Hajilu, G. B. Gharehpetian
The conventional views of the power system have been changed by the concept of smart grid and one of the main issues in smart grid is electric transportation vehicles. Recently, the penetration of plug-in electric vehicles (PHEV) keeps growing up. On the other hand, power systems contained PHEVs would probably make increased system peaks and over loading of power system assets if they do not have proper control on charging and discharging of PHEVs. It means that a suitable charging and discharging schedule can avoid overloading of a network at the peak hours by charging on the off peak hours. Since the simulation parameters such as battery capacity, one-way commuting distance and departure time from home and arrival time to home are random, it is necessary to achieve a comprehensive probabilistic mathematic model of PHEVs charging. This paper presents a methodology for modeling the load demand of PHEVs. This model includes some significant parameters such as battery size, charging rate and speed of vehicles. Moreover in this model, we assume some scenario for trips of PHEVs. Furthermore we use an algorithm based on binary gravitational search algorithm (BGSA) for planning the PHEVs' charging. The model and purposed algorithm have been simulated in MATLAB software and results offer a model of load demand of PHEVs. Also results show the positive effect of smart charging algorithm for the load peak shaving.
{"title":"Smart charging of plug-in electric vehicle using gravitational search algorithm","authors":"M. R. Poursistani, M. Abedi, N. Hajilu, G. B. Gharehpetian","doi":"10.1109/SGC.2014.7090884","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090884","url":null,"abstract":"The conventional views of the power system have been changed by the concept of smart grid and one of the main issues in smart grid is electric transportation vehicles. Recently, the penetration of plug-in electric vehicles (PHEV) keeps growing up. On the other hand, power systems contained PHEVs would probably make increased system peaks and over loading of power system assets if they do not have proper control on charging and discharging of PHEVs. It means that a suitable charging and discharging schedule can avoid overloading of a network at the peak hours by charging on the off peak hours. Since the simulation parameters such as battery capacity, one-way commuting distance and departure time from home and arrival time to home are random, it is necessary to achieve a comprehensive probabilistic mathematic model of PHEVs charging. This paper presents a methodology for modeling the load demand of PHEVs. This model includes some significant parameters such as battery size, charging rate and speed of vehicles. Moreover in this model, we assume some scenario for trips of PHEVs. Furthermore we use an algorithm based on binary gravitational search algorithm (BGSA) for planning the PHEVs' charging. The model and purposed algorithm have been simulated in MATLAB software and results offer a model of load demand of PHEVs. Also results show the positive effect of smart charging algorithm for the load peak shaving.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"175 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132702616","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090883
S. Pazouki, Amin Mohsenzadeh, M. Haghifam
One of the significant solutions to cope with Greenhouse Gas Emission (GHG) challenges in big cities is replacing Internal Conventional Engines (ICEs) dependent on fossil fuels by Plug-In Electric Vehicles (PEVs). Emission lower, flexible fuels, convenient charging and high performance are considered as important benefits of the technologies. In spite of aforementioned advantages, penetration of aggregated PEVs with different levels in Charging Stations (CSs) threatens electrical system reliability. Therefore, reliability assessment of power system is required to be used for different purposes. Average Sustained Interruption Duration Index (ASIDI) and Energy Not Supplied (ENS) are employed in order to evaluate distribution network reliability through availability of PEVs penetration market in CSs. Simulation is carried out on a 33 bus radial distribution network. The results demonstrate how much reliability of electric distribution network is affected by penetrating different level of PEVs in CSs. The results approve the increase of 0.2% to 2.6% ASIDI is as the result of PEVs in CSs and the increase of PEVs penetrations in CSs. Furthermore, the results confirm that the increase of 2.5% to 30% ENS is as the result of PEVs in CSs and higher PEVs penetrations in CSs.
{"title":"The effect of aggregated plug-in electric vehicles penetrations in charging stations on electric distribution netwroks reliability","authors":"S. Pazouki, Amin Mohsenzadeh, M. Haghifam","doi":"10.1109/SGC.2014.7090883","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090883","url":null,"abstract":"One of the significant solutions to cope with Greenhouse Gas Emission (GHG) challenges in big cities is replacing Internal Conventional Engines (ICEs) dependent on fossil fuels by Plug-In Electric Vehicles (PEVs). Emission lower, flexible fuels, convenient charging and high performance are considered as important benefits of the technologies. In spite of aforementioned advantages, penetration of aggregated PEVs with different levels in Charging Stations (CSs) threatens electrical system reliability. Therefore, reliability assessment of power system is required to be used for different purposes. Average Sustained Interruption Duration Index (ASIDI) and Energy Not Supplied (ENS) are employed in order to evaluate distribution network reliability through availability of PEVs penetration market in CSs. Simulation is carried out on a 33 bus radial distribution network. The results demonstrate how much reliability of electric distribution network is affected by penetrating different level of PEVs in CSs. The results approve the increase of 0.2% to 2.6% ASIDI is as the result of PEVs in CSs and the increase of PEVs penetrations in CSs. Furthermore, the results confirm that the increase of 2.5% to 30% ENS is as the result of PEVs in CSs and higher PEVs penetrations in CSs.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129567954","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090862
S. Pazouki, M. Haghifam
Greenhouse gas emission and growing energy requirements lead us to utilization of sustainable energy resources. Unfortunately, renewable energy resources are characterized by fluctuations due to features of primary fuels. Energy storages and demand response programs are taken into account as the complement of the alternative resources. In this paper, effect of different demand response programs (demand shedding and shifting) are compared in presence and absence of wind and energy storages in multi carrier energy systems. Energy hub is employed to model wind, storage and demand response programs in electricity and gas infrastructures. Mixed integer linear programming (MIP) and Cplex solver of GAMS software are used to solve the problem. The energy hub performance as well as the hub operation costs is evaluated by integrating wind and energy storage in presence of demand response programs in multi carrier energy networks.
{"title":"Comparison between demand response programs in multiple carrier energy infrastructures in presence of wind and energy storage technologies","authors":"S. Pazouki, M. Haghifam","doi":"10.1109/SGC.2014.7090862","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090862","url":null,"abstract":"Greenhouse gas emission and growing energy requirements lead us to utilization of sustainable energy resources. Unfortunately, renewable energy resources are characterized by fluctuations due to features of primary fuels. Energy storages and demand response programs are taken into account as the complement of the alternative resources. In this paper, effect of different demand response programs (demand shedding and shifting) are compared in presence and absence of wind and energy storages in multi carrier energy systems. Energy hub is employed to model wind, storage and demand response programs in electricity and gas infrastructures. Mixed integer linear programming (MIP) and Cplex solver of GAMS software are used to solve the problem. The energy hub performance as well as the hub operation costs is evaluated by integrating wind and energy storage in presence of demand response programs in multi carrier energy networks.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132880506","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090879
Shoresh Shokoohi, Foad Sabori, H. Bevrani
This paper presents an intelligent control approach to optimally tune control parameters utilized in the control structure of a microgrid (MG) so that the voltage and frequency of islanded MGs return to the nominal values under occurring sudden changes in load. The proposed approach is based on restoring the voltage and frequency by using online tuning of the control parameters by means of an intelligent self-optimizingbased MG central controller (MGCC). The MGCC is used in order to implement an optimal secondary voltage/frequency control. An online ANN tuner is applied to the system to adjust the secondary controllers' parameters. The main advantage of online ANN-based MGCC is independency from human actions under occurring disturbances and also in industrial and uncertain environments. Simulation results are presented to show the feasibility of the proposed intelligent approach.
{"title":"Secondary voltage and frequency control in islanded microgrids: online ANN tuning approach","authors":"Shoresh Shokoohi, Foad Sabori, H. Bevrani","doi":"10.1109/SGC.2014.7090879","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090879","url":null,"abstract":"This paper presents an intelligent control approach to optimally tune control parameters utilized in the control structure of a microgrid (MG) so that the voltage and frequency of islanded MGs return to the nominal values under occurring sudden changes in load. The proposed approach is based on restoring the voltage and frequency by using online tuning of the control parameters by means of an intelligent self-optimizingbased MG central controller (MGCC). The MGCC is used in order to implement an optimal secondary voltage/frequency control. An online ANN tuner is applied to the system to adjust the secondary controllers' parameters. The main advantage of online ANN-based MGCC is independency from human actions under occurring disturbances and also in industrial and uncertain environments. Simulation results are presented to show the feasibility of the proposed intelligent approach.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128827333","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 : 2014-12-01DOI: 10.1109/SGC.2014.7150705
Soheil Kaabe, M. Rahimiyan, M. A. Latify
Energy management has always been a crucial issue in efficient operation of energy systems. Recently, application of stochastic distributed energy resources and energy storage units in microgrids has made the energy management problem more complex. This paper focuses on the energy management of a cluster of demands, solar power stations and storage units, which are interconnected through a microgrid. The demands, solar power stations and storage units work as a virtual power plant. To this end, we design an energy management system for making appropriate decisions on the amount of energy that the virtual power plant can buy/sell from/to the main grid, load levels, solar power production and energy storage/production. The energy management system encounters with uncertain main grid prices and available solar power productions, which are modeled through single-point forecast. We analyze through a realistic case study impact of forecast accuracy on decisions made by energy management system as well as impact of considering smart grid technology.
{"title":"Impact of forecast accuracy on energy management of a virtual power plant","authors":"Soheil Kaabe, M. Rahimiyan, M. A. Latify","doi":"10.1109/SGC.2014.7150705","DOIUrl":"https://doi.org/10.1109/SGC.2014.7150705","url":null,"abstract":"Energy management has always been a crucial issue in efficient operation of energy systems. Recently, application of stochastic distributed energy resources and energy storage units in microgrids has made the energy management problem more complex. This paper focuses on the energy management of a cluster of demands, solar power stations and storage units, which are interconnected through a microgrid. The demands, solar power stations and storage units work as a virtual power plant. To this end, we design an energy management system for making appropriate decisions on the amount of energy that the virtual power plant can buy/sell from/to the main grid, load levels, solar power production and energy storage/production. The energy management system encounters with uncertain main grid prices and available solar power productions, which are modeled through single-point forecast. We analyze through a realistic case study impact of forecast accuracy on decisions made by energy management system as well as impact of considering smart grid technology.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115959549","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090861
A. Barghi, A. Kosari, Maede Shokri, S. Sheikhaei
This paper presents intelligent lighting control system for smart home. The AC power source is converted down with an AC to DC switching power supply, then is delivered to some LEDs with an LED driver. This paper proposes two methods of lighting control. In the manual control method, LED is controlled with a PWM signal. In fact, according to the user command, it generates the proper duty cycle in a PWM signal. In the automatic control method, the LED is controlled with a signal generated by the PID control algorithm. In this method, the photocell measures the ambient light level and with reference to the input command by the user, proper PWM signal is generated. Circuit schematics and the implementation details are presented. A laboratory prototype is also designed and tested to verify the feasibility, and the experimental results are demonstrated.
{"title":"Intelligent lighting control with LEDS for smart home","authors":"A. Barghi, A. Kosari, Maede Shokri, S. Sheikhaei","doi":"10.1109/SGC.2014.7090861","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090861","url":null,"abstract":"This paper presents intelligent lighting control system for smart home. The AC power source is converted down with an AC to DC switching power supply, then is delivered to some LEDs with an LED driver. This paper proposes two methods of lighting control. In the manual control method, LED is controlled with a PWM signal. In fact, according to the user command, it generates the proper duty cycle in a PWM signal. In the automatic control method, the LED is controlled with a signal generated by the PID control algorithm. In this method, the photocell measures the ambient light level and with reference to the input command by the user, proper PWM signal is generated. Circuit schematics and the implementation details are presented. A laboratory prototype is also designed and tested to verify the feasibility, and the experimental results are demonstrated.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133495496","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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