Pub Date : 2017-12-01DOI: 10.1109/SGC.2017.8308834
A. Parizad, H. Khoshkhoo, S. Dehghan, Rasoul Moradtalab
In an islanded power network, the stability of the network is highly vulnerable. In these networks, serious disturbances can easily occur due to different events. Based on this events, imbalance between generation and load demand may lead to overloading or loss of generation cases. In order to overcome to these problems, Load Shedding (LS) is the emergency control action against voltage or frequency instability or even system blackout. An intelligent load shedding scheme and related logics are implemented on smart load management system (SLMS) in order to operate in islanded mode. The important functions of SLMS are Under Voltage Load Shedding (UVLS) and Under Frequency Load Shedding (UFLS) which can play key role in the power system stability. These functions are applied to PLCs (Programmable Logic Controllers) in real power plant. To simulate PLCs' logics and related scenarios, DIgSILENT Programing Language (DPL) is used. In order to investigate frequency/voltage stability in the islanded network, different scenarios (e.g. loss of generation in island mode, loss of grid connection in export/import mode) have been implemented in DIgSILENT PowerFactory software and confirm the efficiency of smart load management system after a severe contingency.
{"title":"An intelligent load and generation shedding procedure in an islanded network using a smart power management system","authors":"A. Parizad, H. Khoshkhoo, S. Dehghan, Rasoul Moradtalab","doi":"10.1109/SGC.2017.8308834","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308834","url":null,"abstract":"In an islanded power network, the stability of the network is highly vulnerable. In these networks, serious disturbances can easily occur due to different events. Based on this events, imbalance between generation and load demand may lead to overloading or loss of generation cases. In order to overcome to these problems, Load Shedding (LS) is the emergency control action against voltage or frequency instability or even system blackout. An intelligent load shedding scheme and related logics are implemented on smart load management system (SLMS) in order to operate in islanded mode. The important functions of SLMS are Under Voltage Load Shedding (UVLS) and Under Frequency Load Shedding (UFLS) which can play key role in the power system stability. These functions are applied to PLCs (Programmable Logic Controllers) in real power plant. To simulate PLCs' logics and related scenarios, DIgSILENT Programing Language (DPL) is used. In order to investigate frequency/voltage stability in the islanded network, different scenarios (e.g. loss of generation in island mode, loss of grid connection in export/import mode) have been implemented in DIgSILENT PowerFactory software and confirm the efficiency of smart load management system after a severe contingency.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"52 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":"133849925","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.2017.8308878
Heydar Chamandoust, Abozar Hashemi, G. Derakhshan, B. Abdi
Recently, AC/DC hybrid energy systems are getting more popular as subsystyems of distribution grids, due to their reliability and low energy costs. In this paper, hybrid system design (HSD) approach with the consideration of renewable energy resources for a house in Kermanshah province, Iran, is proposed. The energy resources considered in the design procedure include wind turbines, solar cells, eletrolyzer/fuel cell, and battery. The design problem boils down to a twofold optimization problem: net present cost (NPC) optimization and operation cost (OC) optimization. The mathematical model of the hybrid system components includes both component size and cost, which is implemented using HOMER software. In the simulation section, the results are presented for three designs, and based on load supply satisfaction and optimization cost values, the best design is introduced.
{"title":"Optimal hybrid system design based on renewable energy resources","authors":"Heydar Chamandoust, Abozar Hashemi, G. Derakhshan, B. Abdi","doi":"10.1109/SGC.2017.8308878","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308878","url":null,"abstract":"Recently, AC/DC hybrid energy systems are getting more popular as subsystyems of distribution grids, due to their reliability and low energy costs. In this paper, hybrid system design (HSD) approach with the consideration of renewable energy resources for a house in Kermanshah province, Iran, is proposed. The energy resources considered in the design procedure include wind turbines, solar cells, eletrolyzer/fuel cell, and battery. The design problem boils down to a twofold optimization problem: net present cost (NPC) optimization and operation cost (OC) optimization. The mathematical model of the hybrid system components includes both component size and cost, which is implemented using HOMER software. In the simulation section, the results are presented for three designs, and based on load supply satisfaction and optimization cost values, the best design 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":"130522037","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.2017.8308892
Hossein Shahinzadeh, G. Gharehpetian, M. Moazzami, Jalal Moradi, S. Hosseinian
The significant ongoing technical and scientific advancements in renewable generation technologies and developments in smart grids' infrastructures have reduced their prices and costs to an affordable economical level. Hence, in the last decade, integration of renewable energies has had conspicuous pervasiveness, and the structures of power networks have been evolving to smart grid styles. The intelligently operated grids and more penetration of green energies facilitate alleviation of the generation expenditures, mitigation of greenhouse gases emissions, and achieving more efficient exploitation of installed generation resources. Aside from various uncertainties in power system operation, the inclusion of renewable resources, which are mainly intermittent in nature, encounters the power system operation scheduling with severe challenges. Therefore, the uncertainties of renewable resources such as wind and solar energy resources, as well as inherent uncertainties of power systems such as load forecast inaccuracies must be included mathematically in the operation schedules. The consideration of such uncertainties improves the robustness against plausible volatilities and contingencies and provides a more secure operation. The incorporation of various uncertainties into the unit commitment program deteriorates the solution of the problem in term of complexity. The solution of such a sophisticated problem which comprises time-oriented and practical constraints requires either appropriate exact or heuristic approaches. In this paper, a 10-generator test system is selected for simulations, and the virus colony search (VCS) algorithm is employed to solve unit commitment problem considering the impact of the presence of intermittent wind farms. Ultimately, the economic dispatch is performed between committed units, and operational costs are also calculated. The uncertainties of wind and load forecasts are incorporated in the system modeling through three scenarios. These scenarios demonstrate the impact of the presence of wind units in smart grids, and the way uncertainties affect the electricity network operation economically. Besides, the way wind farms must treat with such uncertainties through appropriate bidding strategy is investigated in order to protect themselves from high prices of spot market and plausible detriments.
{"title":"Unit commitment in smart grids with wind farms using virus colony search algorithm and considering adopted bidding strategy","authors":"Hossein Shahinzadeh, G. Gharehpetian, M. Moazzami, Jalal Moradi, S. Hosseinian","doi":"10.1109/SGC.2017.8308892","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308892","url":null,"abstract":"The significant ongoing technical and scientific advancements in renewable generation technologies and developments in smart grids' infrastructures have reduced their prices and costs to an affordable economical level. Hence, in the last decade, integration of renewable energies has had conspicuous pervasiveness, and the structures of power networks have been evolving to smart grid styles. The intelligently operated grids and more penetration of green energies facilitate alleviation of the generation expenditures, mitigation of greenhouse gases emissions, and achieving more efficient exploitation of installed generation resources. Aside from various uncertainties in power system operation, the inclusion of renewable resources, which are mainly intermittent in nature, encounters the power system operation scheduling with severe challenges. Therefore, the uncertainties of renewable resources such as wind and solar energy resources, as well as inherent uncertainties of power systems such as load forecast inaccuracies must be included mathematically in the operation schedules. The consideration of such uncertainties improves the robustness against plausible volatilities and contingencies and provides a more secure operation. The incorporation of various uncertainties into the unit commitment program deteriorates the solution of the problem in term of complexity. The solution of such a sophisticated problem which comprises time-oriented and practical constraints requires either appropriate exact or heuristic approaches. In this paper, a 10-generator test system is selected for simulations, and the virus colony search (VCS) algorithm is employed to solve unit commitment problem considering the impact of the presence of intermittent wind farms. Ultimately, the economic dispatch is performed between committed units, and operational costs are also calculated. The uncertainties of wind and load forecasts are incorporated in the system modeling through three scenarios. These scenarios demonstrate the impact of the presence of wind units in smart grids, and the way uncertainties affect the electricity network operation economically. Besides, the way wind farms must treat with such uncertainties through appropriate bidding strategy is investigated in order to protect themselves from high prices of spot market and plausible detriments.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"16 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":"124792874","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.2017.8308886
Pouya Pourghasem, F. Sohrabi, B. Mohammadi-ivatloo, M. Abapour
Due to reducing fossil fuel energy sources and increasing demand in power networks, microgrids (MGs) comprised of distributed energy resources (DER), are getting attention of many researchers. On the other hand, DERs increase risk level in the system because of their uncertain nature. Thus, it is better to consider reliability terms in MGs analysis. In this paper, economic dispatch of a MG by considering reliability index is solved. The bi-objective reliable economic dispatch problem is considered as a single objective optimization problem using weighting coefficients. Exchange market algorithm (EMA) is applied to solve optimization problem with different weighting coefficients and fuzzy satisfying method is utilized to choose best compromise solution. Obtained results show the capability of the proposed method in solving complex and non-convex reliable economic dispatch problem.
{"title":"Reliable economic dispatch of microgrids by exchange market algorithm","authors":"Pouya Pourghasem, F. Sohrabi, B. Mohammadi-ivatloo, M. Abapour","doi":"10.1109/SGC.2017.8308886","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308886","url":null,"abstract":"Due to reducing fossil fuel energy sources and increasing demand in power networks, microgrids (MGs) comprised of distributed energy resources (DER), are getting attention of many researchers. On the other hand, DERs increase risk level in the system because of their uncertain nature. Thus, it is better to consider reliability terms in MGs analysis. In this paper, economic dispatch of a MG by considering reliability index is solved. The bi-objective reliable economic dispatch problem is considered as a single objective optimization problem using weighting coefficients. Exchange market algorithm (EMA) is applied to solve optimization problem with different weighting coefficients and fuzzy satisfying method is utilized to choose best compromise solution. Obtained results show the capability of the proposed method in solving complex and non-convex reliable economic dispatch problem.","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":"115006777","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.2017.8308871
Ali Pasban-Gajan, M. Moeini‐Aghtaie, Zohreh Parvini, M. Fotuhi‐Firuzabad
To more clearly show the abilities of multi-energy carrier systems in managing different energy demands, this paper investigates optimal scheduling of an energy hub in presence of price-based demand response (DR) programs. In this regard, the mathematical model of different energy converters and storage units including combined heat and power (CHP), electrical storage, heat storage and ice storage are extracted. Then, time-of-use (TOU) electrical energy price is set in such a way to reach lower demand in peak hours. Extracting the optimization model of energy scheduling for an energy hub in presence of TOU DR program, the proposed algorithm is implemented on a typical energy hub and the results are obtained. The results prove the applicability and efficiency of such energy optimization algorithms.
{"title":"Optimal scheduling of renewable-based energy hubs considering time-of-use pricing scheme","authors":"Ali Pasban-Gajan, M. Moeini‐Aghtaie, Zohreh Parvini, M. Fotuhi‐Firuzabad","doi":"10.1109/SGC.2017.8308871","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308871","url":null,"abstract":"To more clearly show the abilities of multi-energy carrier systems in managing different energy demands, this paper investigates optimal scheduling of an energy hub in presence of price-based demand response (DR) programs. In this regard, the mathematical model of different energy converters and storage units including combined heat and power (CHP), electrical storage, heat storage and ice storage are extracted. Then, time-of-use (TOU) electrical energy price is set in such a way to reach lower demand in peak hours. Extracting the optimization model of energy scheduling for an energy hub in presence of TOU DR program, the proposed algorithm is implemented on a typical energy hub and the results are obtained. The results prove the applicability and efficiency of such energy optimization algorithms.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"260 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":"116233029","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.2017.8308839
B. Zaker, S. Hadavi, A. A. K. Arani, F. Ashrafi, G. Gharehpetian
The formulation of transient stability-constrained optimal power flow and finding its practical solution have recently attracted much attention. In this paper, an approach to improve the transient stability, with increasing critical clearing time (CCT) of the system is presented. This improvement has effects on electricity market prices and local marginal prices (LMP) due to changing the power flow of the line and output powers of the generators. In order to assess the transient stability of the test system, DIgSILENT software is used and to calculate LMPs, MATLAB software is used. The New England 39-bus test system is studied to demonstrate the effectiveness of the proposed scheme for transient stability enhancement and its effects on LMPs.
{"title":"A new approach to enhance transient stability of power system and its impact on local marginal prices","authors":"B. Zaker, S. Hadavi, A. A. K. Arani, F. Ashrafi, G. Gharehpetian","doi":"10.1109/SGC.2017.8308839","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308839","url":null,"abstract":"The formulation of transient stability-constrained optimal power flow and finding its practical solution have recently attracted much attention. In this paper, an approach to improve the transient stability, with increasing critical clearing time (CCT) of the system is presented. This improvement has effects on electricity market prices and local marginal prices (LMP) due to changing the power flow of the line and output powers of the generators. In order to assess the transient stability of the test system, DIgSILENT software is used and to calculate LMPs, MATLAB software is used. The New England 39-bus test system is studied to demonstrate the effectiveness of the proposed scheme for transient stability enhancement and its effects on LMPs.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"15 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":"127198884","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.2017.8308884
Amirhossein Tavassoli, B. Allahverdinejad, N. Rashidirad, M. Hamzeh
In this paper, the performance of a photovoltaic system equipped with solar power optimizers, as one of the distributed generation units of a test microgrid has been investigated. The power sharing in the test DC microgrid is controlled through droop method. Since droop method leads to output voltage deviations in distributed generation units, there is a possibility that this voltage deviation eclipses the operation of solar power optimizers. To address this point of uncertainty, a simulated DC microgrid has been tested in MATLAB/Simulink environment, which confirms that solar power optimizers continue to operate properly.
{"title":"Performance analysis of series SPOs in a droop-controlled DC microgrid","authors":"Amirhossein Tavassoli, B. Allahverdinejad, N. Rashidirad, M. Hamzeh","doi":"10.1109/SGC.2017.8308884","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308884","url":null,"abstract":"In this paper, the performance of a photovoltaic system equipped with solar power optimizers, as one of the distributed generation units of a test microgrid has been investigated. The power sharing in the test DC microgrid is controlled through droop method. Since droop method leads to output voltage deviations in distributed generation units, there is a possibility that this voltage deviation eclipses the operation of solar power optimizers. To address this point of uncertainty, a simulated DC microgrid has been tested in MATLAB/Simulink environment, which confirms that solar power optimizers continue to operate properly.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"30 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":"127202914","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.2017.8308887
T. Khalili, A. Jafari, E. Babaei
The large-scale integration of grid-scale energy storage systems (ESSs) motivates the development of techniques for determining the optimal ratings and locations of storage devices. To achieve the best optimal results, exchange market algorithm (EMA) is used. EMA is a new meta-heuristic method for solving the optimizing problems. This optimization algorithm is inspired by the procedure of trading the shares on the stock market. Evaluation of how the stocks are traded on the stock market by elites has formed this algorithm. This paper proposes a method for identifying the sites where ESSs should be located to perform most effectively. It has been tested on a standard 33 bus radial distribution system. A method for determining the optimal operation of ESSs to obtain the least power loss is proposed. The main purpose of the operation strategy is to minimize the peak generation in which the power plants generate with the least oscillation. To validate the effectiveness of this method different scenarios are investigated. In order to proof this optimization method, several comparisons have been done. Finally, the storages optimal charge and discharge rate, location, and power loss improvement are presented. The results show the ability of the EMA in finding the global optimum point of the storage and their hourly charging rate.
{"title":"Scheduling and siting of storages considering power peak shaving and loss reduction by exchange market algorithm","authors":"T. Khalili, A. Jafari, E. Babaei","doi":"10.1109/SGC.2017.8308887","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308887","url":null,"abstract":"The large-scale integration of grid-scale energy storage systems (ESSs) motivates the development of techniques for determining the optimal ratings and locations of storage devices. To achieve the best optimal results, exchange market algorithm (EMA) is used. EMA is a new meta-heuristic method for solving the optimizing problems. This optimization algorithm is inspired by the procedure of trading the shares on the stock market. Evaluation of how the stocks are traded on the stock market by elites has formed this algorithm. This paper proposes a method for identifying the sites where ESSs should be located to perform most effectively. It has been tested on a standard 33 bus radial distribution system. A method for determining the optimal operation of ESSs to obtain the least power loss is proposed. The main purpose of the operation strategy is to minimize the peak generation in which the power plants generate with the least oscillation. To validate the effectiveness of this method different scenarios are investigated. In order to proof this optimization method, several comparisons have been done. Finally, the storages optimal charge and discharge rate, location, and power loss improvement are presented. The results show the ability of the EMA in finding the global optimum point of the storage and their hourly charging rate.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"2 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":"128324952","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.2017.8308836
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}
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