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.2017.8308844
Mohsen Kojury-Naftchali, A. Fereidunian, H. Lesani
This paper is aimed at investigating self-organizing map (SOM) capabilities in customers characterization in their electricity consumption behavior. Characterization is based on the recorded data by Advanced Metering Infrastructure (AMI) in smart grid. This investigation regards two aspects of SOM: First, capabilities of SOM in pattern recognition applications and second, capabilities of SOM in big data management. Both of these capabilities are instrumental in the current restructured electricity market. From one aspect, requirements of the market for load profiling by which decision making in energy management programs and other policies is more reliable. From another aspect, the increase in information exchanging in the grid in the presence of AMI which complicates the analysis of data. Applying this algorithm in both two aforementioned aspects has shown persuasive results. A real dataset related to Irish electricity consumption is used to evaluate performance of the proposed procedures.
{"title":"AMI data analytics; an investigation of the self-organizing maps capabilities in customers characterization and big data management","authors":"Mohsen Kojury-Naftchali, A. Fereidunian, H. Lesani","doi":"10.1109/SGC.2017.8308844","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308844","url":null,"abstract":"This paper is aimed at investigating self-organizing map (SOM) capabilities in customers characterization in their electricity consumption behavior. Characterization is based on the recorded data by Advanced Metering Infrastructure (AMI) in smart grid. This investigation regards two aspects of SOM: First, capabilities of SOM in pattern recognition applications and second, capabilities of SOM in big data management. Both of these capabilities are instrumental in the current restructured electricity market. From one aspect, requirements of the market for load profiling by which decision making in energy management programs and other policies is more reliable. From another aspect, the increase in information exchanging in the grid in the presence of AMI which complicates the analysis of data. Applying this algorithm in both two aforementioned aspects has shown persuasive results. A real dataset related to Irish electricity consumption is used to evaluate performance of the proposed procedures.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"39 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":"116166068","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.2017.8308841
Pooriya Motevakel, Behrad Ghanbari, H. Nafisi, M. Abedi, H. Hosseinian
Nowadays, with the expansion of the use of renewable energy sources, there are many opportunities and challenges for researchers. One of these resources is PVs that have many advantages however the proper control is always a challenging issue in the power system. This article suggests the use of flexible loads in order to enable the consumers for injection of their extra power that leads to AC power quality's violation. The extra power may be effortlessly directed to flexible loads due to keeping an equivalency of generated power and loads. The suggested method in this paper is analyzed and compared with the common method of using energy storages, economically and technically. The proposed solution is simulated by using MATLAB/Simulink and economic analysis is performed by Homer software. The proposed method will be a leading solution for the future of power systems in existence of renewable energy sources.
{"title":"A novel approach for improving voltage profile in low voltage networks with high solar panel penetration level by using flexible loads","authors":"Pooriya Motevakel, Behrad Ghanbari, H. Nafisi, M. Abedi, H. Hosseinian","doi":"10.1109/SGC.2017.8308841","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308841","url":null,"abstract":"Nowadays, with the expansion of the use of renewable energy sources, there are many opportunities and challenges for researchers. One of these resources is PVs that have many advantages however the proper control is always a challenging issue in the power system. This article suggests the use of flexible loads in order to enable the consumers for injection of their extra power that leads to AC power quality's violation. The extra power may be effortlessly directed to flexible loads due to keeping an equivalency of generated power and loads. The suggested method in this paper is analyzed and compared with the common method of using energy storages, economically and technically. The proposed solution is simulated by using MATLAB/Simulink and economic analysis is performed by Homer software. The proposed method will be a leading solution for the future of power systems in existence of renewable energy sources.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"120 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":"123551818","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.2017.8308840
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}
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