Pub Date : 2017-12-01DOI: 10.1109/SGC.2017.8308858
M. Mahdavi, G. Gharehpetian, P. Ranjbaran, H. Azizi, A. A. Khodaduoost
Programmable load emulator is used for implementation and analysis of different electrical load change scenarios in power electronics and microgrid laboratory researches. Load emulators usually use PI controllers to track the reference active and reactive power profiles. PI controller coefficients depend on operating point therefore it is not suitable especially for this application in which the operating point is constantly changing in a wide range. Also in microgrid laboratory researches, because of low inertia, the voltage and frequency variations are considerable which can effect on load emulator operation. In this paper, a fuzzy-based PI controller is presented for a chopper-based load emulator in AUT microgrid for both islanding and grid connected operation modes. Experimental results show the performance of the fuzzy system in comparison to conventional PI controller for load emulator in both operation modes.
{"title":"Fuzzy chopper-based load emulator for AUT microgrid","authors":"M. Mahdavi, G. Gharehpetian, P. Ranjbaran, H. Azizi, A. A. Khodaduoost","doi":"10.1109/SGC.2017.8308858","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308858","url":null,"abstract":"Programmable load emulator is used for implementation and analysis of different electrical load change scenarios in power electronics and microgrid laboratory researches. Load emulators usually use PI controllers to track the reference active and reactive power profiles. PI controller coefficients depend on operating point therefore it is not suitable especially for this application in which the operating point is constantly changing in a wide range. Also in microgrid laboratory researches, because of low inertia, the voltage and frequency variations are considerable which can effect on load emulator operation. In this paper, a fuzzy-based PI controller is presented for a chopper-based load emulator in AUT microgrid for both islanding and grid connected operation modes. Experimental results show the performance of the fuzzy system in comparison to conventional PI controller for load emulator in both operation modes.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"4 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":"127744572","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.2017.8308846
M. Khorasany, M. Raoofat
Due to the small capacity of DGs, their individual participation in the energy market is not beneficial. In the case of wind and solar plants, their uncertain power generation is another issue for their participation in the market, especially when their capacity is low. Commercial Virtual Power Plant (CVPP) is a new market participant, which represents a group of various DGs in the market, and bids to the market. This paper proposes a new bidding strategy approach for the participation of CVPP in the day-ahead energy market, considering uncertainties of wind turbine generation and Market Clearing Price (MCP). The market is pay as bid, and each participant bids a multi-step price-power curve. The uncertainty of MCP has formulated analytically, while the wind uncertainty is modeled by a quantized Rayleigh probability distribution function. Particle Swarm Optimization (PSO) algorithm is utilized for optimizing the objective function, which is the expected benefit of the CVPP. Numerical results are provided to evaluate the performance of proposed approach in increasing the benefit of VPP.
{"title":"Bidding strategy for participation of virtual power plant in energy market considering uncertainty of generation and market price","authors":"M. Khorasany, M. Raoofat","doi":"10.1109/SGC.2017.8308846","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308846","url":null,"abstract":"Due to the small capacity of DGs, their individual participation in the energy market is not beneficial. In the case of wind and solar plants, their uncertain power generation is another issue for their participation in the market, especially when their capacity is low. Commercial Virtual Power Plant (CVPP) is a new market participant, which represents a group of various DGs in the market, and bids to the market. This paper proposes a new bidding strategy approach for the participation of CVPP in the day-ahead energy market, considering uncertainties of wind turbine generation and Market Clearing Price (MCP). The market is pay as bid, and each participant bids a multi-step price-power curve. The uncertainty of MCP has formulated analytically, while the wind uncertainty is modeled by a quantized Rayleigh probability distribution function. Particle Swarm Optimization (PSO) algorithm is utilized for optimizing the objective function, which is the expected benefit of the CVPP. Numerical results are provided to evaluate the performance of proposed approach in increasing the benefit of VPP.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":" 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132158973","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.2017.8308865
Ehsan Gord, Naghi Moaddabi Pirkolachahi
The use of power electronic converters for connection to the grids is causing harmonics. In this paper, for elimination of harmonics and increasing the quality of the voltage and output current of inverter, a three-level inverter is used, which connects micro-grid to a commercial electric power distribution system (utility one). An adaptive fuzzy PI controller was also used to control it, which then has a high pace of reply with a good performance in sudden changes of loads. The performance of micro grid in case of faults from utility grid was also analyzed. In this condition, the micro grid is disconnected from utility grid and act islanded. The connection and disconnection act of micro grid from the utility grid should happen rapidly. A simple method with a high speed is presented for this purpose. In the presented method, voltage domain and phase angel of both grids are compared. In case of outgoing of synchronism mode, micro grid is disconnected from the grid. The reconnection of micro grid happens when it is synchronized with the utility grid. Simulation results declare the accuracy of the proposal method.
{"title":"Intelligent management of immediate operation of micro grid in fault and load change based on adaptive fuzzy PI controller","authors":"Ehsan Gord, Naghi Moaddabi Pirkolachahi","doi":"10.1109/SGC.2017.8308865","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308865","url":null,"abstract":"The use of power electronic converters for connection to the grids is causing harmonics. In this paper, for elimination of harmonics and increasing the quality of the voltage and output current of inverter, a three-level inverter is used, which connects micro-grid to a commercial electric power distribution system (utility one). An adaptive fuzzy PI controller was also used to control it, which then has a high pace of reply with a good performance in sudden changes of loads. The performance of micro grid in case of faults from utility grid was also analyzed. In this condition, the micro grid is disconnected from utility grid and act islanded. The connection and disconnection act of micro grid from the utility grid should happen rapidly. A simple method with a high speed is presented for this purpose. In the presented method, voltage domain and phase angel of both grids are compared. In case of outgoing of synchronism mode, micro grid is disconnected from the grid. The reconnection of micro grid happens when it is synchronized with the utility grid. Simulation results declare the accuracy of the proposal method.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"20 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113961389","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.2017.8308853
S. M. Arbatsofla, A. Toloei, Fatemeh Soudagary, Aref Naseri
In this paper, a nonlinear multivariate model for wind turbines is considered. Due to the increasing need for energy and limitation in fossil fuels, wind speed turbines vary widely, despite their high costs in power plants, so it is essential to achieve maximum efficiency and maintain their sustainability. For this purpose, a variable speed winding turbine system is modeled with a dual power generator modeled in this uncertain system, such as variations in wind speed and uncertainty in modeling and parameter values. In order to improve the behavior of system outputs in the unstructured presence of uncertainties, a controller is designed using a sliding mode of the terminal to reduce the system shifting by combining the adaptive modeling theory to deal with the indeterminate parameters and control signal smoothing. In this method, the combination of interest is designed adaptively, and is independent of the boundary of the indefinite and independent determinants. Finally, simulation of the results has been done using MATLAB software. The simulation results show the proper performance of the proposed controller in an uncertain presence compared to other methods.
{"title":"DFIG wind turbine control despite the uncertainties in the model using high-order adaptive sliding","authors":"S. M. Arbatsofla, A. Toloei, Fatemeh Soudagary, Aref Naseri","doi":"10.1109/SGC.2017.8308853","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308853","url":null,"abstract":"In this paper, a nonlinear multivariate model for wind turbines is considered. Due to the increasing need for energy and limitation in fossil fuels, wind speed turbines vary widely, despite their high costs in power plants, so it is essential to achieve maximum efficiency and maintain their sustainability. For this purpose, a variable speed winding turbine system is modeled with a dual power generator modeled in this uncertain system, such as variations in wind speed and uncertainty in modeling and parameter values. In order to improve the behavior of system outputs in the unstructured presence of uncertainties, a controller is designed using a sliding mode of the terminal to reduce the system shifting by combining the adaptive modeling theory to deal with the indeterminate parameters and control signal smoothing. In this method, the combination of interest is designed adaptively, and is independent of the boundary of the indefinite and independent determinants. Finally, simulation of the results has been done using MATLAB software. The simulation results show the proper performance of the proposed controller in an uncertain presence compared to other methods.","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":"121440570","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.2017.8308857
S. Malek, A. Khodabakhshian
One of the main problems in the islanded microgrids is the frequency regulation. Moreover, there are several uncertainties and disturbances in the islanded microgrids that may lead to the instability. To solve this problem, this paper proposes the design of a multi-objective Linear Matrix Inequalities (LMIs) based regulator. It considers the LMI conditions in such a way that the design criterion holds. It also considers the disturbances, including solar radiation, wind speed, and load demand variations. With extracting microgrid state space model, it builds a framework to synthesize the controller. Next, it presents the mixed robust design criteria to set up the multi-objective function. The controller design process includes two steps: state feedback and observer designs. With considering weighing functions in the design process, it determines the optimal solution of the objective function. The obtained solution is the state feedback matrix, and it forms the controller by combining the state feedback matrix with a state observer. We have applied the designed controller to the islanded microgrid, and the effect of disturbances is evaluated together with parametric uncertainties. The proposed regulator is compared with the traditional PI method. The results show that the designed regulator has robust performance as well as robust stability.
{"title":"Frequency controller design for islanded microgrid by multi-objective LMI based approach","authors":"S. Malek, A. Khodabakhshian","doi":"10.1109/SGC.2017.8308857","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308857","url":null,"abstract":"One of the main problems in the islanded microgrids is the frequency regulation. Moreover, there are several uncertainties and disturbances in the islanded microgrids that may lead to the instability. To solve this problem, this paper proposes the design of a multi-objective Linear Matrix Inequalities (LMIs) based regulator. It considers the LMI conditions in such a way that the design criterion holds. It also considers the disturbances, including solar radiation, wind speed, and load demand variations. With extracting microgrid state space model, it builds a framework to synthesize the controller. Next, it presents the mixed robust design criteria to set up the multi-objective function. The controller design process includes two steps: state feedback and observer designs. With considering weighing functions in the design process, it determines the optimal solution of the objective function. The obtained solution is the state feedback matrix, and it forms the controller by combining the state feedback matrix with a state observer. We have applied the designed controller to the islanded microgrid, and the effect of disturbances is evaluated together with parametric uncertainties. The proposed regulator is compared with the traditional PI method. The results show that the designed regulator has robust performance as well as robust stability.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"20 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":"117044383","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.2017.8308883
H. Baghaee, M. Mirsalim, G. Gharehpetian, H. Talebi
In this paper, an improved hierarchical droop-based control structure is presented. This improved control structure can resolve the limitation/drawbacks of the previously-reported droop-based control techniques and enhance microgrid stability margin and improve its performance. The conventional hierarchical droop-based structure is re-implemented and some modifications are done. Then, based on the previous researches of the authors, the performance of the proposed control structure is evaluated under topological and parametric uncertainties and delay in communication system. Some special notes and recommendations are provided to draw a picture of realizing a resilient microgrid including a robust hierarchical control system having enough robustness against small and large-signal disturbances, nonlinearities comes from nonlinear loads and nonlinear dynamics of the resources and moreover, the mentioned uncertainties. To demonstrate the effectiveness of the proposed hierarchical controller, time-domain simulation studies have been performed on a microgrid included four units of distributed generation with local loads and in presence of main grid using MATLAB/Simulink software and the results are presneted.
{"title":"Performance analysis of an improved hierarchical droop-based control scheme under topological, parametric and communication uncertainties: Towards a resilient microgrid","authors":"H. Baghaee, M. Mirsalim, G. Gharehpetian, H. Talebi","doi":"10.1109/SGC.2017.8308883","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308883","url":null,"abstract":"In this paper, an improved hierarchical droop-based control structure is presented. This improved control structure can resolve the limitation/drawbacks of the previously-reported droop-based control techniques and enhance microgrid stability margin and improve its performance. The conventional hierarchical droop-based structure is re-implemented and some modifications are done. Then, based on the previous researches of the authors, the performance of the proposed control structure is evaluated under topological and parametric uncertainties and delay in communication system. Some special notes and recommendations are provided to draw a picture of realizing a resilient microgrid including a robust hierarchical control system having enough robustness against small and large-signal disturbances, nonlinearities comes from nonlinear loads and nonlinear dynamics of the resources and moreover, the mentioned uncertainties. To demonstrate the effectiveness of the proposed hierarchical controller, time-domain simulation studies have been performed on a microgrid included four units of distributed generation with local loads and in presence of main grid using MATLAB/Simulink software and the results are presneted.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"20 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":"125430627","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.2017.8320341
Ali Soltani Sharif Abadi, P. A. Hosseinabadi, S. Mekhilef
Optimization of cost functions along with control systems is a very significant issue in smart grids. In this paper, two novel control laws are designed to control photovoltaic system using Voltage Source Converter (VSC) model. The proposed control method is created by incorporating the optimization method, Linear Quadratic Regulator (LQR), and the Terminal Sliding Mode Control (TSMC) scheme, along with estimation of upper bound of system's uncertainties by adaptive concept. Then, numerical simulation is carried out by using MATLAB Simulink environment to verify the effectiveness of designed control laws in this note. At the end, a comprehensive comparison is provided to compare these two control laws from various aspects. Some of the key features of the proposed controllers are the robustness against a variety of uncertainties and external disturbances, as well as the finite time stability and Chattering-free.
{"title":"Two novel AOTSMC of Photovoltaic system using VSC model in smart grid","authors":"Ali Soltani Sharif Abadi, P. A. Hosseinabadi, S. Mekhilef","doi":"10.1109/SGC.2017.8320341","DOIUrl":"https://doi.org/10.1109/SGC.2017.8320341","url":null,"abstract":"Optimization of cost functions along with control systems is a very significant issue in smart grids. In this paper, two novel control laws are designed to control photovoltaic system using Voltage Source Converter (VSC) model. The proposed control method is created by incorporating the optimization method, Linear Quadratic Regulator (LQR), and the Terminal Sliding Mode Control (TSMC) scheme, along with estimation of upper bound of system's uncertainties by adaptive concept. Then, numerical simulation is carried out by using MATLAB Simulink environment to verify the effectiveness of designed control laws in this note. At the end, a comprehensive comparison is provided to compare these two control laws from various aspects. Some of the key features of the proposed controllers are the robustness against a variety of uncertainties and external disturbances, as well as the finite time stability and Chattering-free.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"8 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":"124874337","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.2017.8308851
Arin Hovanessian, Mohammadali Norouzi, G. Gharehpetian
Renewable energy sources, propagation and extension in the world put its undeniable effects on electricity consumers, which supplies many homes, and buildings equipped with Photovoltaic (PV) system as one of the distributed energy resources (DERs). Due to PVs generation uncertainty and the necessity of energy economy management in the buildings, an optimal energy management method is needed that should be implemented based on the user critical load demand response with considering the storage capacity. This paper addresses a smart load management approach based on State of Charge (SOC) index to determine battery capacity in the condition of the PV generation uncertainty at 24 hours a day in the island state. It should be noticed that in the current load management method in the similar conditions the customers dealt with a power outage because the distribution network and customer devices will be protected from voltage fluctuation. The customer dissatisfaction and power generation uncertainty are the significant disadvantages of it. For this reason, to find a solution regard to smart demand response, it is suggested that the residential critical loads, categorized in three groups in which based on the smart selective program the target cluster loads supplied. According to the mentioned approach, 62% and 54% of winter and summer critical loads with considering the battery capacity in the island system are supplied, respectively. Furthermore, each electricity consumer average revenue in the condition of the PV generation uncertainty as the worst case (island state) are increased 1.93 $ and 2.91 $, respectively.
{"title":"Demand response of islanded residential critical loads considering PV generation uncertainty and storage capacity","authors":"Arin Hovanessian, Mohammadali Norouzi, G. Gharehpetian","doi":"10.1109/SGC.2017.8308851","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308851","url":null,"abstract":"Renewable energy sources, propagation and extension in the world put its undeniable effects on electricity consumers, which supplies many homes, and buildings equipped with Photovoltaic (PV) system as one of the distributed energy resources (DERs). Due to PVs generation uncertainty and the necessity of energy economy management in the buildings, an optimal energy management method is needed that should be implemented based on the user critical load demand response with considering the storage capacity. This paper addresses a smart load management approach based on State of Charge (SOC) index to determine battery capacity in the condition of the PV generation uncertainty at 24 hours a day in the island state. It should be noticed that in the current load management method in the similar conditions the customers dealt with a power outage because the distribution network and customer devices will be protected from voltage fluctuation. The customer dissatisfaction and power generation uncertainty are the significant disadvantages of it. For this reason, to find a solution regard to smart demand response, it is suggested that the residential critical loads, categorized in three groups in which based on the smart selective program the target cluster loads supplied. According to the mentioned approach, 62% and 54% of winter and summer critical loads with considering the battery capacity in the island system are supplied, respectively. Furthermore, each electricity consumer average revenue in the condition of the PV generation uncertainty as the worst case (island state) are increased 1.93 $ and 2.91 $, respectively.","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":"121096759","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.2017.8308885
S. M. Nosratabadi, J. Modarresi
This paper suggests a methodology for Phasor Measurement Units (PMUs) optimum placement for State Estimation (SE) with regard to double contingency. Firstly, SE problem is converted into the optimization one where the fitness function is the number of unobservable nodes that is specified on the basis of Singular Value Decomposition (SVD). In the regular condition, Differential Evolution (DE) method is utilized to discover the optimum PMUs placement. According to uncertain events, a multi-objective problem is hence performed. Here, to attain this, DE method on the basis of Pareto optimum procedure is proposed. The proposed methodology is employed for the IEEE 30-bus test system considering several cases and results are prepared to assess the optimum PMUs places.
{"title":"Phasor measurement units placement considering double contingency by differential evolution algorithm based on Pareto method","authors":"S. M. Nosratabadi, J. Modarresi","doi":"10.1109/SGC.2017.8308885","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308885","url":null,"abstract":"This paper suggests a methodology for Phasor Measurement Units (PMUs) optimum placement for State Estimation (SE) with regard to double contingency. Firstly, SE problem is converted into the optimization one where the fitness function is the number of unobservable nodes that is specified on the basis of Singular Value Decomposition (SVD). In the regular condition, Differential Evolution (DE) method is utilized to discover the optimum PMUs placement. According to uncertain events, a multi-objective problem is hence performed. Here, to attain this, DE method on the basis of Pareto optimum procedure is proposed. The proposed methodology is employed for the IEEE 30-bus test system considering several cases and results are prepared to assess the optimum PMUs places.","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":"128293873","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.2017.8308872
M. Moazzami, Davoud Fadaei, Hossein Shahinzadeh, S. Fathi
Although non-renewable resources of energy and fossil fuels are coming to end in the next decades, but in recent years, consumption of fossil fuels in some modern or developing countries has been increased. Consumption of fossil fuels has increased the density of greenhouse gases in atmosphere, which encounters the world with irreversible changes. In order to decrease the unwanted environmental effects of fossil fuel consumption a worldwide trend has begun towards the use of renewable energy resources. In this paper, Optimization of structure and final hybrid system cost are investigated in order to meet the electricity demand of Meymand village, located in Iran. To find the optimum hybrid system, HOMER software is employed. The hybrid system consists of wind turbine, solar panels and diesel generator as main generating resources in addition to battery as energy storage system. The considered lifetime is assumed to be 25 years, and not only technical issues but also environmental and economic issues are investigated. According to the simulation results, the net percent cost (NPC) of the proposed hybrid system is equal to $37180, and levelized cost of energy (COE) is equal to 0.2 $/kWh. The technical, environmental and economic evaluations show that satisfaction of demand of Meymand village is more advantageous by hybrid system rather than the traditional one.
{"title":"Optimal sizing and technical analysis of rural electrification alternatives in Kerman province","authors":"M. Moazzami, Davoud Fadaei, Hossein Shahinzadeh, S. Fathi","doi":"10.1109/SGC.2017.8308872","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308872","url":null,"abstract":"Although non-renewable resources of energy and fossil fuels are coming to end in the next decades, but in recent years, consumption of fossil fuels in some modern or developing countries has been increased. Consumption of fossil fuels has increased the density of greenhouse gases in atmosphere, which encounters the world with irreversible changes. In order to decrease the unwanted environmental effects of fossil fuel consumption a worldwide trend has begun towards the use of renewable energy resources. In this paper, Optimization of structure and final hybrid system cost are investigated in order to meet the electricity demand of Meymand village, located in Iran. To find the optimum hybrid system, HOMER software is employed. The hybrid system consists of wind turbine, solar panels and diesel generator as main generating resources in addition to battery as energy storage system. The considered lifetime is assumed to be 25 years, and not only technical issues but also environmental and economic issues are investigated. According to the simulation results, the net percent cost (NPC) of the proposed hybrid system is equal to $37180, and levelized cost of energy (COE) is equal to 0.2 $/kWh. The technical, environmental and economic evaluations show that satisfaction of demand of Meymand village is more advantageous by hybrid system rather than the traditional one.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"144 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":"116264852","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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