Pub Date : 2017-12-01DOI: 10.1109/SGC.2017.8308877
Emad Nazerian, Sina Gharebaghi, A. Safdarian
Distribution network reconfiguration as a technique for reducing network losses and enhancing voltage profile has attracted attention of many researchers. In spite of impacts network reconfiguration can have on power quality indices, the potentials have not been studied enough. To fill the gap, this paper presents a method to determine optimum network configuration considering voltage profile, network losses, and total harmonic distortion (THD). The proposed method also vouches for radial structure of the network, supplying all loads, and maintaining voltages and currents within allowable bounds. Since network reconfiguration problem is a combinatorial optimization problem, a meta-heuristic method is applied here. The method is based on a modified version of selective particle swarm optimization (PSO). To investigate the effectiveness of the proposed method, it is applied to the IEEE 69-bus standard test system and the results are compared with those of genetic algorithm (GA) and ant colony optimization (ACO).
{"title":"Optimal distribution network reconfiguration considering power quality issues","authors":"Emad Nazerian, Sina Gharebaghi, A. Safdarian","doi":"10.1109/SGC.2017.8308877","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308877","url":null,"abstract":"Distribution network reconfiguration as a technique for reducing network losses and enhancing voltage profile has attracted attention of many researchers. In spite of impacts network reconfiguration can have on power quality indices, the potentials have not been studied enough. To fill the gap, this paper presents a method to determine optimum network configuration considering voltage profile, network losses, and total harmonic distortion (THD). The proposed method also vouches for radial structure of the network, supplying all loads, and maintaining voltages and currents within allowable bounds. Since network reconfiguration problem is a combinatorial optimization problem, a meta-heuristic method is applied here. The method is based on a modified version of selective particle swarm optimization (PSO). To investigate the effectiveness of the proposed method, it is applied to the IEEE 69-bus standard test system and the results are compared with those of genetic algorithm (GA) and ant colony optimization (ACO).","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"14 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":"116502999","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.2017.8308836
M. Poursmaeil, Sh. Moradinejad Dizgah, H. Torkaman, E. Afjei
This paper presents autonomous operation and control of an interconnected AC/DC microgrid with bidirectional T-Z-Source inverter as interlinking converter. The r-Z-source inverter is capable of providing high voltage gain whilst does not have the drawbacks of the conventional inverters. In this paper, an interconnected AC/DC microgrid is considered in which AC load and sources are connected to AC subgrid and DC load and sources are connected to DC subgrid, therefore power conversion stages are reduced in each subgrid resulting in less volume and cost of power converters and higher efficiency and reliability. In addition, in the DC subgrid, a multiport power electronic interface is employed for interfacing DC distributed generations which are photovoltaic power generation along with a battery unit. The r-Z-source inverter is used as interlinking converter for the AC and DC subgrids and its control scheme is described with respect to the autonomous operation of the hybrid microgrid. Moreover, droop control is used for power sharing management of the microgrid as a decentralized control strategy. The performance of the proposed interlinking converter and control strategy of the autonomous microgrid is evaluated by time domain simulations in MATLAB/Simulink.
{"title":"Autonomous control and operation of an interconnected AC/DC microgrid with T-Z-source interlinking converter","authors":"M. Poursmaeil, Sh. Moradinejad Dizgah, H. Torkaman, E. Afjei","doi":"10.1109/SGC.2017.8308836","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308836","url":null,"abstract":"This paper presents autonomous operation and control of an interconnected AC/DC microgrid with bidirectional T-Z-Source inverter as interlinking converter. The r-Z-source inverter is capable of providing high voltage gain whilst does not have the drawbacks of the conventional inverters. In this paper, an interconnected AC/DC microgrid is considered in which AC load and sources are connected to AC subgrid and DC load and sources are connected to DC subgrid, therefore power conversion stages are reduced in each subgrid resulting in less volume and cost of power converters and higher efficiency and reliability. In addition, in the DC subgrid, a multiport power electronic interface is employed for interfacing DC distributed generations which are photovoltaic power generation along with a battery unit. The r-Z-source inverter is used as interlinking converter for the AC and DC subgrids and its control scheme is described with respect to the autonomous operation of the hybrid microgrid. Moreover, droop control is used for power sharing management of the microgrid as a decentralized control strategy. The performance of the proposed interlinking converter and control strategy of the autonomous microgrid is evaluated by time domain simulations in MATLAB/Simulink.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"36 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":"128344498","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.2017.8308862
M. Ataei, S. Malekshah, Mohsen Ghanbarnejad, A. J. Irani
Biomass distributed energy resources are also known as waste-to-energy plants. The heat from the combustion process is used to generate superheated steam in boilers. Municipal solid waste incineration is a greenhouse gas emitter; however, if greenhouse gas emitter reductions, achieved by accounting for waste-to-energy, exceed greenhouse gas emitter emissions, incineration can be considered as a net greenhouse gas emitter reducer. A metropolitan city like Tehran of Iran has the sufficient potential to construct biomass distributed energy resources. In this paper, the technical report of implementation, operation and economical assessment of waste incineration plant of Tehran as a practical case study is presented. The plant nominal capacity is 3MW that is located in the suburb of Tehran in Kahrizak region. The paper approaches are divided into three parts of economic, environmental and technical studies that the main factors of each section are studied. In this paper, the furnace technology of the plant is based on Pyrolysis incinerator that has the optimum combustion rather than other technologies. In addition, the installed filter is poly tetra flour ethylene that could observe 99.8% remaining dusts in the output gas that effect directly to improve the environmental standards.
{"title":"Implementation, operation and economical assessment of the first 3MW biomass distributed energy resource: A case study of Iran","authors":"M. Ataei, S. Malekshah, Mohsen Ghanbarnejad, A. J. Irani","doi":"10.1109/SGC.2017.8308862","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308862","url":null,"abstract":"Biomass distributed energy resources are also known as waste-to-energy plants. The heat from the combustion process is used to generate superheated steam in boilers. Municipal solid waste incineration is a greenhouse gas emitter; however, if greenhouse gas emitter reductions, achieved by accounting for waste-to-energy, exceed greenhouse gas emitter emissions, incineration can be considered as a net greenhouse gas emitter reducer. A metropolitan city like Tehran of Iran has the sufficient potential to construct biomass distributed energy resources. In this paper, the technical report of implementation, operation and economical assessment of waste incineration plant of Tehran as a practical case study is presented. The plant nominal capacity is 3MW that is located in the suburb of Tehran in Kahrizak region. The paper approaches are divided into three parts of economic, environmental and technical studies that the main factors of each section are studied. In this paper, the furnace technology of the plant is based on Pyrolysis incinerator that has the optimum combustion rather than other technologies. In addition, the installed filter is poly tetra flour ethylene that could observe 99.8% remaining dusts in the output gas that effect directly to improve the environmental standards.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"297 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":"122195805","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.2017.8308879
Sina Gharebaghi, M. Izadi, A. Safdarian
Distribution networks are designed in loop structure, while they are operated as radial networks. In this regard, the location of normally open (NO) switches is usually determined by either minimizing real power losses or maximizing the reliability level. However, considering both losses and reliability in the decision making procedure may lead to a better solution. To do so, this paper proposes a mathematical model to find the optimal configuration of NO switches such that losses and reliability are optimized. The multi-objective model is scrutinized via weighted sum approach to achieve a single-objective model. The model is formulated in mixed integer quadratically constrained programming (MIQCP) format which can be easily solved in an effective run time. The effectiveness of the model is revealed through various scenarios and sensitivity analyses by simulating a real Finnish distribution network.
{"title":"Optimal network configuration considering network losses and service reliability","authors":"Sina Gharebaghi, M. Izadi, A. Safdarian","doi":"10.1109/SGC.2017.8308879","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308879","url":null,"abstract":"Distribution networks are designed in loop structure, while they are operated as radial networks. In this regard, the location of normally open (NO) switches is usually determined by either minimizing real power losses or maximizing the reliability level. However, considering both losses and reliability in the decision making procedure may lead to a better solution. To do so, this paper proposes a mathematical model to find the optimal configuration of NO switches such that losses and reliability are optimized. The multi-objective model is scrutinized via weighted sum approach to achieve a single-objective model. The model is formulated in mixed integer quadratically constrained programming (MIQCP) format which can be easily solved in an effective run time. The effectiveness of the model is revealed through various scenarios and sensitivity analyses by simulating a real Finnish distribution network.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"6 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":"124909005","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.2017.8308854
Mohammd Ghaljehei, M. Golkar
High penetration of wind power increases the generation uncertainty in power systems. Large-scale energy storage systems, such as compressed air energy storage (CAES), can accommodate this uncertainty properly, if it is scheduled optimally. In this paper, a proposed stochastic AC-security constrained unit commitment (AC-SCUC) is performed considering CAES, wind power generation and thermal units, and a techno-economic assessment is conducted in the proposed stochastic methodology. A two-stage stochastic programming is employed to handle uncertainty of wind power generation. As the integration of CAES and wind power uncertainty affect voltage issue of power system, the techno-economic assessment is carried out in the proposed stochastic methodology to shed light on the effects of optimal generation scheduling on the static voltage stability. Due to its less computation cost, the wind power uncertainty is modeled using scenario-based approach. The AC-SCUC problem and CAES scheduling are considered as an optimization problem which is solved using mixed-integer non-linear programming (MINLP) approach. The proposed stochastic methodology is applied to a modified IEEE 30 bus test system.
{"title":"Effect of optimal generation scheduling of compressed air energy storage and wind power generation on economic and technical issues","authors":"Mohammd Ghaljehei, M. Golkar","doi":"10.1109/SGC.2017.8308854","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308854","url":null,"abstract":"High penetration of wind power increases the generation uncertainty in power systems. Large-scale energy storage systems, such as compressed air energy storage (CAES), can accommodate this uncertainty properly, if it is scheduled optimally. In this paper, a proposed stochastic AC-security constrained unit commitment (AC-SCUC) is performed considering CAES, wind power generation and thermal units, and a techno-economic assessment is conducted in the proposed stochastic methodology. A two-stage stochastic programming is employed to handle uncertainty of wind power generation. As the integration of CAES and wind power uncertainty affect voltage issue of power system, the techno-economic assessment is carried out in the proposed stochastic methodology to shed light on the effects of optimal generation scheduling on the static voltage stability. Due to its less computation cost, the wind power uncertainty is modeled using scenario-based approach. The AC-SCUC problem and CAES scheduling are considered as an optimization problem which is solved using mixed-integer non-linear programming (MINLP) approach. The proposed stochastic methodology is applied to a modified IEEE 30 bus test system.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"3 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":"115154882","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.2017.8308833
M. Shafiekhani, A. Badri, Farshad Khavari
Today, with the reduced fossil fuel resources and increased environmental concerns, considering the increased use of renewable energy sources in power grids appears to be essential given the great benefits of these resources. The virtual power plant is an extensive energy management system to gather the capacity of interruptible loads, storage devices and distributed products to provide support services for the system and the energy marketing. The main objective of this paper is to provide a method for an optimal virtual power plant bidding strategy considering rivals in a joint day-ahead and balancing market. To this end, a bi-level mathematical optimization model with equilibrium constraints is provided. The first level of this model includes the maximization of the virtual power plant profits, while its second level involves maximizing the level of social welfare. The bi-level model is converted to a Mixed-Integer Linear Programming model using the theory of duality and Karush-Kuhn-Tucker (KKT) optimization conditions. The mentioned model is tested on the Standard IEEE 24-Bus network, which results indicated its effectiveness.
{"title":"A Bi-level model for strategic bidding of virtual power plant in day-ahead and balancing market","authors":"M. Shafiekhani, A. Badri, Farshad Khavari","doi":"10.1109/SGC.2017.8308833","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308833","url":null,"abstract":"Today, with the reduced fossil fuel resources and increased environmental concerns, considering the increased use of renewable energy sources in power grids appears to be essential given the great benefits of these resources. The virtual power plant is an extensive energy management system to gather the capacity of interruptible loads, storage devices and distributed products to provide support services for the system and the energy marketing. The main objective of this paper is to provide a method for an optimal virtual power plant bidding strategy considering rivals in a joint day-ahead and balancing market. To this end, a bi-level mathematical optimization model with equilibrium constraints is provided. The first level of this model includes the maximization of the virtual power plant profits, while its second level involves maximizing the level of social welfare. The bi-level model is converted to a Mixed-Integer Linear Programming model using the theory of duality and Karush-Kuhn-Tucker (KKT) optimization conditions. The mentioned model is tested on the Standard IEEE 24-Bus network, which results indicated its effectiveness.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"9 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":"126428076","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.2017.8308888
S. M. Nosratabadi, J. Modarresi
Optimal management of Distributed Generation (DG) resources such as wind and Photovoltaic (PV) powers as well as Demand Response (DR) resources in a microgrid with a smart system is very important. In this paper, a problem is proposed for stochastic scheduling of resources in order to minimize the related costs for different power sources in a microgrid in two operational modes of Grid-Connected and Islanding. The productive resources are distributed generation units (wind and PV powers), conventional thermal units, spinning and non-spinning reserves, and DR resources with high flexibility. The proposed model is formulated as Mixed Integer Linear Programming (MILP). To highlight the properties of the proposed model, and to illustrate the effectiveness of the model in the operational modes of the microgrid, the microgrid test system in the Davarzan area in Iran is employed. The simulation results also show the effectiveness of the DR program in supplying the network load and reducing the costs. Also, the ISO can manage the system effectively by this model in two operating modes.
{"title":"Stochastic energy management in a practical smart microgrid in Davarzan-Iran considering demand response with wind and PV power scenarios","authors":"S. M. Nosratabadi, J. Modarresi","doi":"10.1109/SGC.2017.8308888","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308888","url":null,"abstract":"Optimal management of Distributed Generation (DG) resources such as wind and Photovoltaic (PV) powers as well as Demand Response (DR) resources in a microgrid with a smart system is very important. In this paper, a problem is proposed for stochastic scheduling of resources in order to minimize the related costs for different power sources in a microgrid in two operational modes of Grid-Connected and Islanding. The productive resources are distributed generation units (wind and PV powers), conventional thermal units, spinning and non-spinning reserves, and DR resources with high flexibility. The proposed model is formulated as Mixed Integer Linear Programming (MILP). To highlight the properties of the proposed model, and to illustrate the effectiveness of the model in the operational modes of the microgrid, the microgrid test system in the Davarzan area in Iran is employed. The simulation results also show the effectiveness of the DR program in supplying the network load and reducing the costs. Also, the ISO can manage the system effectively by this model in two operating modes.","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":"129335944","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.2017.8308876
M. Mousavi, A. Ranjbar, A. Safdarian
Electric distribution system is one of the most important parts of power systems owing to delivering electricity to consumers. The major amount of losses in a power system is in distribution level. Optimal distributed generation (DG) placement and sizing have a significant effect on power loss reduction in distribution systems. In this paper, a mixed integer conic programming (MICP) approach is presented to solve the problem of DG placement, sizing, and hourly generation with the aim of reducing power loss and costs in radial distribution systems. The costs include both investment and operational costs of DGs. Hourly load variations are considered in the model. To verify the effectiveness of the proposed solution approach, studies are carried out on the IEEE 33-bus distribution test system.
{"title":"Optimal DG placement and sizing based on MICP in radial distribution networks","authors":"M. Mousavi, A. Ranjbar, A. Safdarian","doi":"10.1109/SGC.2017.8308876","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308876","url":null,"abstract":"Electric distribution system is one of the most important parts of power systems owing to delivering electricity to consumers. The major amount of losses in a power system is in distribution level. Optimal distributed generation (DG) placement and sizing have a significant effect on power loss reduction in distribution systems. In this paper, a mixed integer conic programming (MICP) approach is presented to solve the problem of DG placement, sizing, and hourly generation with the aim of reducing power loss and costs in radial distribution systems. The costs include both investment and operational costs of DGs. Hourly load variations are considered in the model. To verify the effectiveness of the proposed solution approach, studies are carried out on the IEEE 33-bus distribution test system.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"6 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":"132051135","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.2017.8308844
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}
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