Pub Date : 2017-12-01DOI: 10.1109/SGC.2017.8308873
Sahand Liasi, S. Bathaee
The classical modus operandi of electric energy systems try to keep demand and supply balanced at all times, but this cause high generation prices at peak hours and needs huge power capacity to comply peak demand, while in other hours this capacity remains useless. To avoid these issues, many researchers focus on peak shaving and demand response activities to improve system efficiency and reliability. In this paper, a game theory based method has been developed and simulated to show proficiency of managing ventilation system and simultaneously connecting electric vehicles to microgrid (V2G) to provide various demand response services and peak shaving with focus on optimizing generation cost and emission together.
{"title":"Optimizing microgrid using demand response and electric vehicles connection to microgrid","authors":"Sahand Liasi, S. Bathaee","doi":"10.1109/SGC.2017.8308873","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308873","url":null,"abstract":"The classical modus operandi of electric energy systems try to keep demand and supply balanced at all times, but this cause high generation prices at peak hours and needs huge power capacity to comply peak demand, while in other hours this capacity remains useless. To avoid these issues, many researchers focus on peak shaving and demand response activities to improve system efficiency and reliability. In this paper, a game theory based method has been developed and simulated to show proficiency of managing ventilation system and simultaneously connecting electric vehicles to microgrid (V2G) to provide various demand response services and peak shaving with focus on optimizing generation cost and emission together.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"99 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114134475","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308893
Yaser Khodayar, K. Sabahi, A. Hajizadeh
A smart grid features can be referred to as a two-way communication with all active network elements and decentralized resources such as under-load tap-changer (ULTC), capacitor, and distributed generation (DG) units. In the smart grid systems, the mentioned units are required to be well coordinated to keep the voltage within the standard range. Therefore, in this paper, a multi-agent controller based on type-2 fuzzy logic system (T2FLS) is utilized to coordinate the DG, ULTC, and load to regulate the voltage of the smart grid in the presence of noise and uncertainty. The proposed fuzzy system identifies the different parts of the smart grid as an agent (i.e. ULTC, DG, and load) and regulates the voltage by managing them. A 16-bus power system has been utilized to demonstrate the effectiveness of the proposed method. It has been shown that the proposed T2FLS controller outperforms the type-1 fuzzy controller and regulates the voltage in an appropriate way even in the presence of the different levels of measurement noise and uncertainty.
{"title":"Voltage control in smart grid using T2FLS","authors":"Yaser Khodayar, K. Sabahi, A. Hajizadeh","doi":"10.1109/SGC.2017.8308893","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308893","url":null,"abstract":"A smart grid features can be referred to as a two-way communication with all active network elements and decentralized resources such as under-load tap-changer (ULTC), capacitor, and distributed generation (DG) units. In the smart grid systems, the mentioned units are required to be well coordinated to keep the voltage within the standard range. Therefore, in this paper, a multi-agent controller based on type-2 fuzzy logic system (T2FLS) is utilized to coordinate the DG, ULTC, and load to regulate the voltage of the smart grid in the presence of noise and uncertainty. The proposed fuzzy system identifies the different parts of the smart grid as an agent (i.e. ULTC, DG, and load) and regulates the voltage by managing them. A 16-bus power system has been utilized to demonstrate the effectiveness of the proposed method. It has been shown that the proposed T2FLS controller outperforms the type-1 fuzzy controller and regulates the voltage in an appropriate way even in the presence of the different levels of measurement noise and uncertainty.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126437486","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308837
Farshad Khavari, A. Badri, Ali Zangeneh, M. Shafiekhani
Various models are proposed to manage multi-microgrid energy systems. Centralized and decentralized are two basic models, to this end. This paper compares these two energy-management models of multi-microgrid systems for day-ahead scheduling. This comparison is done for the time of calculation, the benefit of microgrids and the state of the Distributed Energy Resources(DER) in microgrids when happen predetermined islanding mode. Simulation and unit commitment is coded and solved by mixed integer programming (MIP) solver CPLEX in GAMS.
{"title":"A comparison of centralized and decentralized energy-management models of multi-microgrid systems","authors":"Farshad Khavari, A. Badri, Ali Zangeneh, M. Shafiekhani","doi":"10.1109/SGC.2017.8308837","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308837","url":null,"abstract":"Various models are proposed to manage multi-microgrid energy systems. Centralized and decentralized are two basic models, to this end. This paper compares these two energy-management models of multi-microgrid systems for day-ahead scheduling. This comparison is done for the time of calculation, the benefit of microgrids and the state of the Distributed Energy Resources(DER) in microgrids when happen predetermined islanding mode. Simulation and unit commitment is coded and solved by mixed integer programming (MIP) solver CPLEX in GAMS.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130698782","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308880
H. Shayeghi, A. Ahmadpour, Mir Mohsen Hosseini Khashe Heiran
Wind power plants in power systems are cleaned and efficient. Determination of optimal location and power output, is the essential phase in the operation of a wind power plant. In this paper, a smart grid is considered. Then, the optimal operation of a wind power plant in the electricity market will be explained. This issue is described by viewpoint of wind and pumped-storage power plants, distribution utility, and global operation. For solution of this problem, a pumped-storage power plant is used to help generation of the wind power plant. Also, by using Artificial Neural Networks (ANNs) algorithm, loads are estimated. To demonstrate the advantages of the proposed method, the Spanish wind farm's practical data has been used. Simulations have been done in MATLAB software, and the results are presented.
{"title":"Optimal operation of wind farm in presence of pumped-storage station as smart infrastructure and load estimation using artificial neural networks","authors":"H. Shayeghi, A. Ahmadpour, Mir Mohsen Hosseini Khashe Heiran","doi":"10.1109/SGC.2017.8308880","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308880","url":null,"abstract":"Wind power plants in power systems are cleaned and efficient. Determination of optimal location and power output, is the essential phase in the operation of a wind power plant. In this paper, a smart grid is considered. Then, the optimal operation of a wind power plant in the electricity market will be explained. This issue is described by viewpoint of wind and pumped-storage power plants, distribution utility, and global operation. For solution of this problem, a pumped-storage power plant is used to help generation of the wind power plant. Also, by using Artificial Neural Networks (ANNs) algorithm, loads are estimated. To demonstrate the advantages of the proposed method, the Spanish wind farm's practical data has been used. Simulations have been done in MATLAB software, and the results are presented.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130671516","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308840
H. Naderian, A. A. K. Arani, G. Gharehpetian
In this article, a new control method based on ordinary droop and Thevenin impedance from DG inverter-side in islanded microgrids is presented and the results have been discussed and compared to each other for both situations. In spite of improvements in steady state responses and rather desirable convergence in parameters such as circulating current among inverters, active and reactive powers, and the proportion of active power generated by inverters, ordinary droop provides inappropriate and long transient responses which is not favorable. In the novel method, the Thevenin impedance from inverter-side is utilized in one of the equations of droop leading up to significant improvement in transient responses of introduced parameters, both in their amplitude and response length time. Diagrams plotted for each of them, indicates these improvements.
{"title":"A new control method based on droop and Thevenin theorem to improve responses of VSIs in islanded MG","authors":"H. Naderian, A. A. K. Arani, G. Gharehpetian","doi":"10.1109/SGC.2017.8308840","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308840","url":null,"abstract":"In this article, a new control method based on ordinary droop and Thevenin impedance from DG inverter-side in islanded microgrids is presented and the results have been discussed and compared to each other for both situations. In spite of improvements in steady state responses and rather desirable convergence in parameters such as circulating current among inverters, active and reactive powers, and the proportion of active power generated by inverters, ordinary droop provides inappropriate and long transient responses which is not favorable. In the novel method, the Thevenin impedance from inverter-side is utilized in one of the equations of droop leading up to significant improvement in transient responses of introduced parameters, both in their amplitude and response length time. Diagrams plotted for each of them, indicates these improvements.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114255986","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308861
A. Parsa, T. A. Najafabadi, F. R. Salmasi
This paper introduces a system of smart optimal and automatic control of electrical home appliances. In the proposed system, a smart controller is designed to control the electrical devices consumption by turning on and off the smart plugs connected to each device, at the right time. The system belongs to a domestic consuming unit consists of different types of electrical loads with different priority of use and amount of consumption. In this control method, the instantaneous or multi-time electricity tariffs, technical constraints of each device, and the optimum time for customers to use each device are considered. Then, the best answer of optimization is selected and implemented in compliance with all constraints with multi-criteria optimization. In this design, power distribution management company can manage the household consumption by determining the appropriate time of use (TOU) tariffs or even by sending appropriate consumption reduction commands. Also, conservation voltage reduction (CVR) can be implemented in this design. In addition, in the paper, the made laboratory system for the implementation of this method is introduced.
{"title":"Implementation of smart optimal and automatic control of electrical home appliances (IoT)","authors":"A. Parsa, T. A. Najafabadi, F. R. Salmasi","doi":"10.1109/SGC.2017.8308861","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308861","url":null,"abstract":"This paper introduces a system of smart optimal and automatic control of electrical home appliances. In the proposed system, a smart controller is designed to control the electrical devices consumption by turning on and off the smart plugs connected to each device, at the right time. The system belongs to a domestic consuming unit consists of different types of electrical loads with different priority of use and amount of consumption. In this control method, the instantaneous or multi-time electricity tariffs, technical constraints of each device, and the optimum time for customers to use each device are considered. Then, the best answer of optimization is selected and implemented in compliance with all constraints with multi-criteria optimization. In this design, power distribution management company can manage the household consumption by determining the appropriate time of use (TOU) tariffs or even by sending appropriate consumption reduction commands. Also, conservation voltage reduction (CVR) can be implemented in this design. In addition, in the paper, the made laboratory system for the implementation of this method is introduced.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123549859","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308870
S. M. Hashemi, A. Fereidunian, Hamed Mirsaeedi, H. Lesani
The restoration process in distribution automation system has a significant role in reducing restoration time of interrupted loads. Availability of normally open switches improves the restoration process in the distribution system with reducing the number of switching. This paper introduces a search algorithm based on the greedy set cover problem for determining the optimal set of normally open switches, in a way that each fault-case can be restored with one pair of switching. The proposed algorithm is implemented for a modified IEEE 37-node test system.
{"title":"Optimal placement of normally open switches for distribution automation in smart grid","authors":"S. M. Hashemi, A. Fereidunian, Hamed Mirsaeedi, H. Lesani","doi":"10.1109/SGC.2017.8308870","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308870","url":null,"abstract":"The restoration process in distribution automation system has a significant role in reducing restoration time of interrupted loads. Availability of normally open switches improves the restoration process in the distribution system with reducing the number of switching. This paper introduces a search algorithm based on the greedy set cover problem for determining the optimal set of normally open switches, in a way that each fault-case can be restored with one pair of switching. The proposed algorithm is implemented for a modified IEEE 37-node test system.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127722887","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：