Pub Date : 2015-11-12DOI: 10.1109/SEGE.2015.7324593
N. Yaagoubi, H. Mouftah
The new and improved smart grid allows energy to flow back from customers into the grid. Customers can sell their excess of energy to the grid or to other customers. While the former has been extensively researched in the literature and is known as Vehicule-to-Grid (V2G) [1], the latter is broadly referred to as energy trading. In this paper, we propose a game theoretic approach that allows customers in the grid to buy energy from other customers offering their surplus at a discounted price. The proposed approach is based on a modified regret matching procedure [2] and enables users to trade energy. Sellers make profit by selling their surplus of energy gathered from renewable resources and stored in energy storage devices such as batteries. Buyers can save on their energy bill by buying cheap energy from their neighbors instead of the grid, therefore decreasing the load on the grid and making use of clean renewable energy. The proposed approach is evaluated through a set of simulations, which show that the proposed approach encourages the use of clean energy and provides energy bill savings to buyers.
{"title":"Energy Trading In the smart grid: A game theoretic approach","authors":"N. Yaagoubi, H. Mouftah","doi":"10.1109/SEGE.2015.7324593","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324593","url":null,"abstract":"The new and improved smart grid allows energy to flow back from customers into the grid. Customers can sell their excess of energy to the grid or to other customers. While the former has been extensively researched in the literature and is known as Vehicule-to-Grid (V2G) [1], the latter is broadly referred to as energy trading. In this paper, we propose a game theoretic approach that allows customers in the grid to buy energy from other customers offering their surplus at a discounted price. The proposed approach is based on a modified regret matching procedure [2] and enables users to trade energy. Sellers make profit by selling their surplus of energy gathered from renewable resources and stored in energy storage devices such as batteries. Buyers can save on their energy bill by buying cheap energy from their neighbors instead of the grid, therefore decreasing the load on the grid and making use of clean renewable energy. The proposed approach is evaluated through a set of simulations, which show that the proposed approach encourages the use of clean energy and provides energy bill savings to buyers.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252013","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 : 2015-11-12DOI: 10.1109/SEGE.2015.7324606
A. Eajal, M. Shaaban, E. El-Saadany, K. Ponnambalam
The smart grid allows its consumers to participate in producing cost effective, sustainable, and environmentally friendly electricity. The consumers in a smart grid, for example, can plug their Electric Vehicles (EVs) into the grid to charge and discharge their vehicles' batteries. However, charging of the electric vehicles, especially during the peak periods, can adversely impact the grid performance. Thus, in this paper, the coordinated charging of the electric vehicles problem is tackled. A fuzzy logic-based approach is developed to coordinate the electric vehicle charging such that the system minimum voltage is within the allowable limits. The inputs to the Fuzzy Charging Controller (FCC) include the States of Charge (SOC) of the electric vehicles, the grid parameters represented in the system minimum voltage, and the hourly energy price. The output of the FCC is the charging levels of the electric vehicles' batteries. The developed fuzzy logic-based charging strategy was validated on the 69-bus test system. The Fuzzy Charging (FC) was compared with three modes of uncoordinated charging, namely Slow Charging (SC), Medium Charging (MC), and Fast Charging (FC). The results of the comparative study prove the superiority of the developed fuzzy charging approach over uncoordinated charging schemes.
{"title":"Fuzzy logic-based charging strategy for Electric Vehicles plugged into a smart grid","authors":"A. Eajal, M. Shaaban, E. El-Saadany, K. Ponnambalam","doi":"10.1109/SEGE.2015.7324606","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324606","url":null,"abstract":"The smart grid allows its consumers to participate in producing cost effective, sustainable, and environmentally friendly electricity. The consumers in a smart grid, for example, can plug their Electric Vehicles (EVs) into the grid to charge and discharge their vehicles' batteries. However, charging of the electric vehicles, especially during the peak periods, can adversely impact the grid performance. Thus, in this paper, the coordinated charging of the electric vehicles problem is tackled. A fuzzy logic-based approach is developed to coordinate the electric vehicle charging such that the system minimum voltage is within the allowable limits. The inputs to the Fuzzy Charging Controller (FCC) include the States of Charge (SOC) of the electric vehicles, the grid parameters represented in the system minimum voltage, and the hourly energy price. The output of the FCC is the charging levels of the electric vehicles' batteries. The developed fuzzy logic-based charging strategy was validated on the 69-bus test system. The Fuzzy Charging (FC) was compared with three modes of uncoordinated charging, namely Slow Charging (SC), Medium Charging (MC), and Fast Charging (FC). The results of the comparative study prove the superiority of the developed fuzzy charging approach over uncoordinated charging schemes.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132267574","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 : 2015-11-12DOI: 10.1109/SEGE.2015.7324576
F. A. S. Gil, M. Shafie‐khah, A. W. Bizuayehu, J. Catalão
In this paper, the impacts of type, size and placement of renewable energy resources (RERs) on the offering strategy of Plug-in Electric Vehicle (PEV) parking lots is investigated. To this end, a stochastic programming model is proposed to optimize the behavior of a PEV parking lot in energy and reserve markets, considering the interaction with RESs. On this basis, the PEV parking lot is modeled in a distribution system consisting of wind and photovoltaic power producers. Moreover, the stochastic model consists of uncertainty characteristics of PEV owners' behavior, wind and photovoltaic power generation. Several numerical studies are analyzed to indicate how the factors of the RESs affect the optimal offering strategy of the parking lots.
{"title":"Offering strategy of a Plug-in Electric Vehicle parking lot in renewable-based distribution networks","authors":"F. A. S. Gil, M. Shafie‐khah, A. W. Bizuayehu, J. Catalão","doi":"10.1109/SEGE.2015.7324576","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324576","url":null,"abstract":"In this paper, the impacts of type, size and placement of renewable energy resources (RERs) on the offering strategy of Plug-in Electric Vehicle (PEV) parking lots is investigated. To this end, a stochastic programming model is proposed to optimize the behavior of a PEV parking lot in energy and reserve markets, considering the interaction with RESs. On this basis, the PEV parking lot is modeled in a distribution system consisting of wind and photovoltaic power producers. Moreover, the stochastic model consists of uncertainty characteristics of PEV owners' behavior, wind and photovoltaic power generation. Several numerical studies are analyzed to indicate how the factors of the RESs affect the optimal offering strategy of the parking lots.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"20 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114123807","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 : 2015-11-12DOI: 10.1109/SEGE.2015.7324613
S. Hussain, A. A. Al Alili
Integration of solar generation into power networks can negatively affect the performance of next generation smart energy grids. Rapidly changing output power of this kind is unpredictable and thus one of the solutions is to predict it by computational intelligence techniques. The stochastic component of solar radiation is highly non-linear in nature because of many factors including time of the year, weather conditions, and geographical locations. In order to uncover the underlying phenomenon, three soft computing techniques for solar radiation forecasting based on neural networks (NN) - artificial neural network (ANN), the adaptive neuro-fuzzy inference system (ANFIS), and nonlinear autoregressive with exogenous inputs (NARX) - are implemented and a comparative analysis is performed. Meteorological variables, such as, relative humidity (RH), temperature (T), wind speed (WS), and sunshine duration (SSD) are used as inputs to the NN models. The global horizontal irradiance (GHI) is estimated using ten years data of Abu Dhabi, the United Arab Emirates (UAE). Different statistical performance indicators are computed. Simulation results show that NARX performs relatively better in this case and generalizes the data well. All the models have the tendency to exhibit more error in spring seasons. This leads to further investigations to cater for seasonality components.
{"title":"Soft computing approach for solar radiation prediction over Abu Dhabi, UAE: A comparative analysis","authors":"S. Hussain, A. A. Al Alili","doi":"10.1109/SEGE.2015.7324613","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324613","url":null,"abstract":"Integration of solar generation into power networks can negatively affect the performance of next generation smart energy grids. Rapidly changing output power of this kind is unpredictable and thus one of the solutions is to predict it by computational intelligence techniques. The stochastic component of solar radiation is highly non-linear in nature because of many factors including time of the year, weather conditions, and geographical locations. In order to uncover the underlying phenomenon, three soft computing techniques for solar radiation forecasting based on neural networks (NN) - artificial neural network (ANN), the adaptive neuro-fuzzy inference system (ANFIS), and nonlinear autoregressive with exogenous inputs (NARX) - are implemented and a comparative analysis is performed. Meteorological variables, such as, relative humidity (RH), temperature (T), wind speed (WS), and sunshine duration (SSD) are used as inputs to the NN models. The global horizontal irradiance (GHI) is estimated using ten years data of Abu Dhabi, the United Arab Emirates (UAE). Different statistical performance indicators are computed. Simulation results show that NARX performs relatively better in this case and generalizes the data well. All the models have the tendency to exhibit more error in spring seasons. This leads to further investigations to cater for seasonality components.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114930990","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 : 2015-11-12DOI: 10.1109/SEGE.2015.7324582
Anjali D. Bhonsle, D. Bhonsle
Rapid growth of non-linear loads in distribution systems has attracted power system engineers' attention from power quality point of view. Connection of the non-linear loads deteriorates power quality in the distribution system by introducing current harmonics. These current harmonics, when circulated in the electric network, interact with the system impedance and generate voltage harmonics. These current and voltage harmonics together can affect other consumers connected in the distribution network. Some typical non-linear loads, such as electric arc furnace (EAF), are inherent source of voltage harmonics which gives rise to voltage flicker, which can causes large voltage fluctuation in the connected distribution system. This paper presents performance evaluation of hybrid active filter (HAF) for power quality improvement (EAF) connected distribution system. The performance of HAF is evaluated in terms of harmonic and voltage flicker mitigation capability. The HAF is consisting of a shunt passive filter (PF) connected with a lower rated voltage source PWM converter based series active filter (SAF). There are various control strategies for series active filter control is surveyed in the literature. One of the control strategy based on the dual formulation of the electric power vectorial theory is implemented for balance and resistive load. In this paper an attempt is made to apply the same control theory for unbalanced and non-sinusoidal voltage conditions of the distribution system. A state-space averaging model of HAF constructed to analyze its system stability by traditional control strategy taking into account the effect of the time delay. Performance of the HAF is compared and analyzed with that of the (PF) to improve power quality at point of common coupling (PCC) as per the IEEE standards. Simulation for a typical distribution system along with the PF and the SAF has been carried out in MATLAB environment to validate the performance.
{"title":"Performance evaluation of hybrid active filter for power quality improvement of electrical distribution system","authors":"Anjali D. Bhonsle, D. Bhonsle","doi":"10.1109/SEGE.2015.7324582","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324582","url":null,"abstract":"Rapid growth of non-linear loads in distribution systems has attracted power system engineers' attention from power quality point of view. Connection of the non-linear loads deteriorates power quality in the distribution system by introducing current harmonics. These current harmonics, when circulated in the electric network, interact with the system impedance and generate voltage harmonics. These current and voltage harmonics together can affect other consumers connected in the distribution network. Some typical non-linear loads, such as electric arc furnace (EAF), are inherent source of voltage harmonics which gives rise to voltage flicker, which can causes large voltage fluctuation in the connected distribution system. This paper presents performance evaluation of hybrid active filter (HAF) for power quality improvement (EAF) connected distribution system. The performance of HAF is evaluated in terms of harmonic and voltage flicker mitigation capability. The HAF is consisting of a shunt passive filter (PF) connected with a lower rated voltage source PWM converter based series active filter (SAF). There are various control strategies for series active filter control is surveyed in the literature. One of the control strategy based on the dual formulation of the electric power vectorial theory is implemented for balance and resistive load. In this paper an attempt is made to apply the same control theory for unbalanced and non-sinusoidal voltage conditions of the distribution system. A state-space averaging model of HAF constructed to analyze its system stability by traditional control strategy taking into account the effect of the time delay. Performance of the HAF is compared and analyzed with that of the (PF) to improve power quality at point of common coupling (PCC) as per the IEEE standards. Simulation for a typical distribution system along with the PF and the SAF has been carried out in MATLAB environment to validate the performance.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134076514","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 : 2015-11-12DOI: 10.1109/SEGE.2015.7324588
A. Sharaf, F. H. Gandoman
The paper presents a Shunt Filter Compensator-FACTS DVS/Green Plug filter/Dynamic Voltage Stabilization device developed by the First Author as a new member of Switched/Modulated Shunt LC Compensation devices for Dynamically Modulating AC Bus Admittance for stabilized and efficient energy transfer utilization, Dynamic Voltage stabilization DVS- for nonlinear loads on smart grid is required as the grid network becomes weak and insecure, especially with new Distributed Generation (DG) interface and use of Wind/Photovoltaic and battery storage systems. The FACTS-DVS/GP is validated using MATLAB-Simulink Digital Simulation Environment varying load and system conditions including open circuit and short circuit fault conditions and load-excursions/ load reductions. The coordinated, multi-regulation, inter coupled dynamic controller scheme ensures the FACTS-DVS/GP device effectiveness in improving system security, energy utilization, power factor, power quality at key AC Buses, while reducing inrush currents and transient over-voltage/switching Recovery Voltage excursions. Hence, improving dynamic voltage stabilization, feeder regulation and power quality/factor enhancement.
{"title":"A switched hybrid filter - DVS/green plug for smart grid nonlinear loads","authors":"A. Sharaf, F. H. Gandoman","doi":"10.1109/SEGE.2015.7324588","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324588","url":null,"abstract":"The paper presents a Shunt Filter Compensator-FACTS DVS/Green Plug filter/Dynamic Voltage Stabilization device developed by the First Author as a new member of Switched/Modulated Shunt LC Compensation devices for Dynamically Modulating AC Bus Admittance for stabilized and efficient energy transfer utilization, Dynamic Voltage stabilization DVS- for nonlinear loads on smart grid is required as the grid network becomes weak and insecure, especially with new Distributed Generation (DG) interface and use of Wind/Photovoltaic and battery storage systems. The FACTS-DVS/GP is validated using MATLAB-Simulink Digital Simulation Environment varying load and system conditions including open circuit and short circuit fault conditions and load-excursions/ load reductions. The coordinated, multi-regulation, inter coupled dynamic controller scheme ensures the FACTS-DVS/GP device effectiveness in improving system security, energy utilization, power factor, power quality at key AC Buses, while reducing inrush currents and transient over-voltage/switching Recovery Voltage excursions. Hence, improving dynamic voltage stabilization, feeder regulation and power quality/factor enhancement.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115279535","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 : 2015-11-12DOI: 10.1109/SEGE.2015.7324585
A. Almansoori
A mixed integer linear programming (MILP) model for the optimal design and operation of a hydrogen supply chain (HSC) under CO2 emission constraints is presented. The mathematical model includes carbon capture and storage (CCS) methods and carbon tax as CO2 mitigation strategies. A case study of a future hydrogen supply chain in the United Arab Emirates (UAE) is analyzed. The optimization objective consists of the minimization of the total network cost, both in terms of capital and operating expenditures, under techno-economic and environmental constraints. The optimization problem was formulated in the General Algebraic Modeling System (GAMS®). The aim of this work is to determine the optimal design and operation of a future hydrogen supply chain in the United Arab Emirates with and without CO2 emission regulations. Also, the model determines the most suitable delivered product form (i.e., gaseous or liquid) into the market. The optimization results show that the mathematical model is a valuable tool for designing the optimal hydrogen supply chain of the country, minimize the supply chain costs, and reduce the CO2 emissions.
{"title":"Design and operation of a hydrogen supply chain considering CO2 mitigation strategies - A case study of the United Arab Emirates","authors":"A. Almansoori","doi":"10.1109/SEGE.2015.7324585","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324585","url":null,"abstract":"A mixed integer linear programming (MILP) model for the optimal design and operation of a hydrogen supply chain (HSC) under CO2 emission constraints is presented. The mathematical model includes carbon capture and storage (CCS) methods and carbon tax as CO2 mitigation strategies. A case study of a future hydrogen supply chain in the United Arab Emirates (UAE) is analyzed. The optimization objective consists of the minimization of the total network cost, both in terms of capital and operating expenditures, under techno-economic and environmental constraints. The optimization problem was formulated in the General Algebraic Modeling System (GAMS®). The aim of this work is to determine the optimal design and operation of a future hydrogen supply chain in the United Arab Emirates with and without CO2 emission regulations. Also, the model determines the most suitable delivered product form (i.e., gaseous or liquid) into the market. The optimization results show that the mathematical model is a valuable tool for designing the optimal hydrogen supply chain of the country, minimize the supply chain costs, and reduce the CO2 emissions.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130132026","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 : 2015-11-12DOI: 10.1109/SEGE.2015.7324579
Tongzhen Wei, Libo Han, Qunhai Huo, Dongqiang Jia
Custom power park is an industrial/commercial park that integrates state-of-the-art power quality devices. The power quality devices can be classified into two catalogues: voltage quality enhancement devices and current quality enhancement devices. In order to meet the requirement of large capacity, high reliability, high flexibility in both the voltage and current compensation, several operation modes of multiple DVRs and multiple DSTATCOMs are proposed. Moreover, aiming at the negative interaction which may occur when DVR and DSTATCOM are installed on the same feeder, the paper analyzes the mechanism of the interaction with the harmonic impedance method. The stability problem may occur due to impedance parameter mismatch of two devices. Finally, the analysis results are verified by time domain simulation.
{"title":"Performance enhancement of custom power park","authors":"Tongzhen Wei, Libo Han, Qunhai Huo, Dongqiang Jia","doi":"10.1109/SEGE.2015.7324579","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324579","url":null,"abstract":"Custom power park is an industrial/commercial park that integrates state-of-the-art power quality devices. The power quality devices can be classified into two catalogues: voltage quality enhancement devices and current quality enhancement devices. In order to meet the requirement of large capacity, high reliability, high flexibility in both the voltage and current compensation, several operation modes of multiple DVRs and multiple DSTATCOMs are proposed. Moreover, aiming at the negative interaction which may occur when DVR and DSTATCOM are installed on the same feeder, the paper analyzes the mechanism of the interaction with the harmonic impedance method. The stability problem may occur due to impedance parameter mismatch of two devices. Finally, the analysis results are verified by time domain simulation.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128320828","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 : 2015-11-12DOI: 10.1109/SEGE.2015.7324586
N. Nordin, H. A. Rahman
World's fuel sources are decreasing and global warming phenomena cause the urgency to search for alternative energy sources. Photovoltaic system has high potential since it is clean and environmental friendly. Standalone photovoltaic (SAPV) system is usually chosen as an alternative to grid utility, where excess to main grid is impossible. The system is designed to fulfill a specific load demand, close to its point of utilization. This paper presents SAPV system sizing and design that include sizing of PV modules, battery storages, charge controller and inverter using iterative method. Loss of power supply probability analysis is set as a benchmark to determine all possible configurations. Then, the optimum design is chosen based on the lowest levelized cost of energy. A case study on small-scale household load profile and hourly solar irradiance is employed to design this system. The findings indicate that the annual LCC for the proposed system is RM 632.08 with LCOE of RM 0.79/kWh.
{"title":"An optimization method for designing stand alone photovoltaic system using iterative method","authors":"N. Nordin, H. A. Rahman","doi":"10.1109/SEGE.2015.7324586","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324586","url":null,"abstract":"World's fuel sources are decreasing and global warming phenomena cause the urgency to search for alternative energy sources. Photovoltaic system has high potential since it is clean and environmental friendly. Standalone photovoltaic (SAPV) system is usually chosen as an alternative to grid utility, where excess to main grid is impossible. The system is designed to fulfill a specific load demand, close to its point of utilization. This paper presents SAPV system sizing and design that include sizing of PV modules, battery storages, charge controller and inverter using iterative method. Loss of power supply probability analysis is set as a benchmark to determine all possible configurations. Then, the optimum design is chosen based on the lowest levelized cost of energy. A case study on small-scale household load profile and hourly solar irradiance is employed to design this system. The findings indicate that the annual LCC for the proposed system is RM 632.08 with LCOE of RM 0.79/kWh.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116119364","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 : 2015-11-12DOI: 10.1109/SEGE.2015.7324624
Qunhai Huo, Tongzhen Wei, Libo Han, Dongqiang Jia
The operation of micro-grid based renewable energy usually considers efficiency and economy in comprehensive. The control strategy based on master micro-source (MS) constant voltage constant frequency (CVCF) networking is introduced. The voltage and frequency of micro-grid is established by the master MS, and the slave MS operated on the maximum power point tracking mode, in order to achieved micro-grid efficient and economic operation. For improving the function of each MS in micro-grid, a multi-functional convertor operation strategy is proposed. According to this strategy, the master MS has the function of forming micro-grid and switching to the public grid seamlessly, while the slave MS has that of MPPT and energy exchange. The seamless transfer technology for micro-grid is introduced. The control strategy of master MS constant voltage constant frequency networking is used in the grid seamless transfer. The grid-connected and off-grid processes of the MS control topology are analyzed and experimentally studied. The results have showed the effectiveness of proposed control technology, which has the advantages of less impact on local sensitive load, easy hardware implementation and good system stability.
{"title":"Methods for multi-functional converter control in micro-grid","authors":"Qunhai Huo, Tongzhen Wei, Libo Han, Dongqiang Jia","doi":"10.1109/SEGE.2015.7324624","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324624","url":null,"abstract":"The operation of micro-grid based renewable energy usually considers efficiency and economy in comprehensive. The control strategy based on master micro-source (MS) constant voltage constant frequency (CVCF) networking is introduced. The voltage and frequency of micro-grid is established by the master MS, and the slave MS operated on the maximum power point tracking mode, in order to achieved micro-grid efficient and economic operation. For improving the function of each MS in micro-grid, a multi-functional convertor operation strategy is proposed. According to this strategy, the master MS has the function of forming micro-grid and switching to the public grid seamlessly, while the slave MS has that of MPPT and energy exchange. The seamless transfer technology for micro-grid is introduced. The control strategy of master MS constant voltage constant frequency networking is used in the grid seamless transfer. The grid-connected and off-grid processes of the MS control topology are analyzed and experimentally studied. The results have showed the effectiveness of proposed control technology, which has the advantages of less impact on local sensitive load, easy hardware implementation and good system stability.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134450431","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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