Pub Date : 2017-11-01DOI: 10.1109/ICRERA.2017.8191253
Yuki Mochizuki, T. Yachi
Three-dimensional (3D) Fibonacci number photovoltaic modules (FPMs), which are designed in part based on natural plant leaf arrangements, have been proposed as a means of efficiently collecting solar energy over the course of a day. In an FPM, it is necessary to connect the solar cells of each PV panel in series in order to obtain high output voltage. However, series connections of this type can also decrease the amount of electric power generated by the FPM if the shadows produced by panels fall on those receiving sunlight. In this paper, we report our computer simulation-based investigation into the relationship between the cell series connection numbers and the output electric power of an FPM, the results of which show that amounts of power generated by the FPM decrease with an increase in the number of series cell connections. This rate of decrease is considered to weaken the efficiency of each direct current to direct current (DC-DC) converter.
{"title":"Relationship between power generated and series/parallel solar panel configurations for 3D Fibonacci PV modules","authors":"Yuki Mochizuki, T. Yachi","doi":"10.1109/ICRERA.2017.8191253","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191253","url":null,"abstract":"Three-dimensional (3D) Fibonacci number photovoltaic modules (FPMs), which are designed in part based on natural plant leaf arrangements, have been proposed as a means of efficiently collecting solar energy over the course of a day. In an FPM, it is necessary to connect the solar cells of each PV panel in series in order to obtain high output voltage. However, series connections of this type can also decrease the amount of electric power generated by the FPM if the shadows produced by panels fall on those receiving sunlight. In this paper, we report our computer simulation-based investigation into the relationship between the cell series connection numbers and the output electric power of an FPM, the results of which show that amounts of power generated by the FPM decrease with an increase in the number of series cell connections. This rate of decrease is considered to weaken the efficiency of each direct current to direct current (DC-DC) converter.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"1 1","pages":"126-130"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84559760","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191221
Abdelhakim Belkaid, Unarm Colak, K. Kayisli
The purpose of this document is to give a wide-ranging comparison between different photovoltaic (PV) maximum power point tracking (MPPT) methods. The MPPTs considered in this work are perturb and observe (PO), incremental conductance (IC), sliding mode (SM), and fuzzy logic (FL) tracker. A model of MSX 60 solar module and the different MPPTs applied to a boost chopper was simulated by means of Matlab/Simulink software. The different MPPTs were evaluated in fast changing climatic conditions using a rigorous profile as recommended by the EN 50530. A comprehensive comparison between these MPPTs is done using five assessment criteria indicators. The results demonstrate that, FL offers satisfactory performance in both steady-state and dynamic response comparing to other techniques.
{"title":"A comprehensive study of different photovoltaic peak power tracking methods","authors":"Abdelhakim Belkaid, Unarm Colak, K. Kayisli","doi":"10.1109/ICRERA.2017.8191221","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191221","url":null,"abstract":"The purpose of this document is to give a wide-ranging comparison between different photovoltaic (PV) maximum power point tracking (MPPT) methods. The MPPTs considered in this work are perturb and observe (PO), incremental conductance (IC), sliding mode (SM), and fuzzy logic (FL) tracker. A model of MSX 60 solar module and the different MPPTs applied to a boost chopper was simulated by means of Matlab/Simulink software. The different MPPTs were evaluated in fast changing climatic conditions using a rigorous profile as recommended by the EN 50530. A comprehensive comparison between these MPPTs is done using five assessment criteria indicators. The results demonstrate that, FL offers satisfactory performance in both steady-state and dynamic response comparing to other techniques.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"27 1","pages":"1073-1079"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83551220","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191264
M. E. Toygar, Ozgu Incesu, Z. Çetin, Tufan Bayram, Alan Toygar
In sunny developing countries, he majority of the population depends on home-grown agricultural products In hi paper, has been focused on designing and developing such a system, which generates the electricity and agricultural production with he remaining energy from the electricity generation, and drying the agricultural product so as to increase the value added and to make the investor more attractive by shortening the depreciation periods of he investment. It will be possible to grow agricultural products, dry agricultural products and generate electricity or 12 months in he greenhouses with this presented project. Solidworks 2016 program package has been used or the designing the greenhouse.
{"title":"SOLARUX CSP greenhouse, cultivates agricultural products, generates electrical energy, industrial fruit and vegetables drying with wasted heat energy","authors":"M. E. Toygar, Ozgu Incesu, Z. Çetin, Tufan Bayram, Alan Toygar","doi":"10.1109/ICRERA.2017.8191264","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191264","url":null,"abstract":"In sunny developing countries, he majority of the population depends on home-grown agricultural products In hi paper, has been focused on designing and developing such a system, which generates the electricity and agricultural production with he remaining energy from the electricity generation, and drying the agricultural product so as to increase the value added and to make the investor more attractive by shortening the depreciation periods of he investment. It will be possible to grow agricultural products, dry agricultural products and generate electricity or 12 months in he greenhouses with this presented project. Solidworks 2016 program package has been used or the designing the greenhouse.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"7 1","pages":"189-194"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74474626","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191241
M. Caruso, A. D. Di Tommaso, M. Lombardo, R. Miceli, C. Nevoloso, C. Spataro
This paper presents an investigation on the comparison between the Maximum Torque Per Ampere (MTPA) and the Field Orientation Control (FOC) algorithms for interior permanent magnet synchronous machines (IPMSMs). In particular, this study was carried out on a small-power IPMSM with low salience ratio. Both control algorithms have been implemented in the Matlab/Simulink environment, obtaining promising results.
{"title":"Maximum Torque Per Ampere control algorithm for low saliency ratio interior permanent magnet synchronous motors","authors":"M. Caruso, A. D. Di Tommaso, M. Lombardo, R. Miceli, C. Nevoloso, C. Spataro","doi":"10.1109/ICRERA.2017.8191241","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191241","url":null,"abstract":"This paper presents an investigation on the comparison between the Maximum Torque Per Ampere (MTPA) and the Field Orientation Control (FOC) algorithms for interior permanent magnet synchronous machines (IPMSMs). In particular, this study was carried out on a small-power IPMSM with low salience ratio. Both control algorithms have been implemented in the Matlab/Simulink environment, obtaining promising results.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"72 1","pages":"1186-1191"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72942228","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191167
Dannier Adolfo, Del Pizzo Andrea, Di Noia Luigi Pio, Meo Santolo
In this article, a current control algorithm is conceived for converting solar dc power into ac power of high-quality. This conversion is based only on a dc-ac converter, avoiding the use of two stage converter. The proposed algorithm is founded on tracking the maximum power point which ensures controlling the electrical power exchanged with the grid. To assure a good dynamics and reduce the control errors, a proportional resonant controllers are utilized and a self-tuning founded on particle swarm optimization is utilized. The proposal strategy goodness is verified by means of numerical simulations.
{"title":"PSO-PR power flow control of a single-stage grid-connected PV inverter","authors":"Dannier Adolfo, Del Pizzo Andrea, Di Noia Luigi Pio, Meo Santolo","doi":"10.1109/ICRERA.2017.8191167","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191167","url":null,"abstract":"In this article, a current control algorithm is conceived for converting solar dc power into ac power of high-quality. This conversion is based only on a dc-ac converter, avoiding the use of two stage converter. The proposed algorithm is founded on tracking the maximum power point which ensures controlling the electrical power exchanged with the grid. To assure a good dynamics and reduce the control errors, a proportional resonant controllers are utilized and a self-tuning founded on particle swarm optimization is utilized. The proposal strategy goodness is verified by means of numerical simulations.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"75 1","pages":"788-792"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76723478","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191128
A. Shobole, Mohammed Wadi, M. Tür, M. Baysal
A power balance between supply and demand is essential for reliable and stable operation of power grids. The mismatch between supply and demand causes the frequency deviations which results in malfunction of most of the electrical devices. Moreover, it affects the system stability resulting in system blackouts as that of USA, in 2003. For decades the balancing of supply and demand was based on generation side control of power systems through ahead of time generation dispatch scheduling. The smart grid is being used today to describe technologies and methods that automatically and rapidly isolate faults, restore power, monitor demand, and maintain and restore stability for more reliable electric power. Thus, in this study, a method of controlling active power (balancing demand and supply) in real time is proposed This method is feasible in smart grid as communication and advanced information technologies are used for real time data exchange about the generation, demand, storage, market, environmental conditions, and other necessary data. These data are important in making decisions about real-time supply and demand balancing in the smart grid. Additionally, in smart grid, taking the advantage of demand response and storage systems, it is possible to balance demand and supply in real-time The simulation is done by the DigSilent Power Factory simulation tool for verification of the proposed method. In addition to an electric network modeling part of the simulation tool, the DigSilent Programming Language (DPL) feature is used for coding the decision making program.
电力供需平衡对电网的可靠稳定运行至关重要。供给和需求之间的不匹配导致频率偏差,从而导致大多数电气设备故障。此外,它影响了系统的稳定性,导致了2003年美国的系统停电。几十年来,电力系统的供需平衡都是建立在发电侧控制的基础上,通过提前调度来实现的。如今,智能电网被用来描述自动快速隔离故障、恢复电力、监测需求、维护和恢复稳定以获得更可靠电力的技术和方法。因此,本研究提出了一种实时控制有功功率(供需平衡)的方法,该方法在智能电网中是可行的,因为它采用通信和先进的信息技术,可以实时交换发电、需求、存储、市场、环境等必要数据。这些数据对于智能电网的实时供需平衡决策非常重要。此外,在智能电网中,利用需求响应和存储系统的优势,可以实时平衡需求和供应。通过DigSilent Power Factory仿真工具进行了仿真,以验证所提出的方法。除了仿真工具的电气网络建模部分外,还使用DigSilent编程语言(DPL)功能对决策程序进行编码。
{"title":"Real time active power control in smart grid","authors":"A. Shobole, Mohammed Wadi, M. Tür, M. Baysal","doi":"10.1109/ICRERA.2017.8191128","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191128","url":null,"abstract":"A power balance between supply and demand is essential for reliable and stable operation of power grids. The mismatch between supply and demand causes the frequency deviations which results in malfunction of most of the electrical devices. Moreover, it affects the system stability resulting in system blackouts as that of USA, in 2003. For decades the balancing of supply and demand was based on generation side control of power systems through ahead of time generation dispatch scheduling. The smart grid is being used today to describe technologies and methods that automatically and rapidly isolate faults, restore power, monitor demand, and maintain and restore stability for more reliable electric power. Thus, in this study, a method of controlling active power (balancing demand and supply) in real time is proposed This method is feasible in smart grid as communication and advanced information technologies are used for real time data exchange about the generation, demand, storage, market, environmental conditions, and other necessary data. These data are important in making decisions about real-time supply and demand balancing in the smart grid. Additionally, in smart grid, taking the advantage of demand response and storage systems, it is possible to balance demand and supply in real-time The simulation is done by the DigSilent Power Factory simulation tool for verification of the proposed method. In addition to an electric network modeling part of the simulation tool, the DigSilent Programming Language (DPL) feature is used for coding the decision making program.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"79 1","pages":"585-590"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77025384","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191233
M. Yesilbudak, Medine Colak, R. Bayindir, H. Bulbul
The development of renewable energy technologies is an inevitable requirement to cope with environmental, economic and political challenges. Solar energy is regarded as one of the most promising types among renewable energy sources. So, the characterization of solar parameters is a significant process in solar energy installations. In this paper, we use three different curve fitting methods called Fourier, sum of sines and smoothing spline in order to model global solar radiation and air temperature parameters at 10-min intervals over a month. In the stage of accuracy comparison, we computed the coefficient of determination (R2) and the root mean squared error (RMSE) for the mentioned methods. In consequence, the smoothing spline model leads to the best modeling results.
{"title":"Very-short term modeling of global solar radiation and air temperature data using curve fitting methods","authors":"M. Yesilbudak, Medine Colak, R. Bayindir, H. Bulbul","doi":"10.1109/ICRERA.2017.8191233","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191233","url":null,"abstract":"The development of renewable energy technologies is an inevitable requirement to cope with environmental, economic and political challenges. Solar energy is regarded as one of the most promising types among renewable energy sources. So, the characterization of solar parameters is a significant process in solar energy installations. In this paper, we use three different curve fitting methods called Fourier, sum of sines and smoothing spline in order to model global solar radiation and air temperature parameters at 10-min intervals over a month. In the stage of accuracy comparison, we computed the coefficient of determination (R2) and the root mean squared error (RMSE) for the mentioned methods. In consequence, the smoothing spline model leads to the best modeling results.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"74 1","pages":"1144-1148"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91093386","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191181
Abdelhakim Belkaid, I. Colak, K. Kayisli
Nowadays, thermo electrical (TE) modules are increasingly popular because their prices go down and new potential applications have emerged. This paper presents modeling, simulation, and control of the power generation of a thermoelectric generator (TEG) using Matlab/Simulink. To get the aim of maximizing the power from the TEG, an MPPT controller based on sliding mode control (SMC) was implemented on a boost DC/DC converter, to ensure that the TEG operates at its peak power whatever the conditions of entry. To examine the modeling and the truthful function of the MPPT method, an HZ-20 module feeding a resistor through a chopper was used. The proposed tracker offers best performances in static and dynamic regimes comparing to Perturb and Observe (P&O) technical algorithm. The results indicate that the average efficiency of the proposed method is found equal to 98.58% greater than the efficiency attained by P&O which is equal to 96.02%.
如今,热电(TE)模块越来越受欢迎,因为它们的价格下降,新的潜在应用已经出现。本文介绍了利用Matlab/Simulink对热电发电机(TEG)发电进行建模、仿真和控制。为了使TEG的功率最大化,在升压DC/DC变换器上实现了基于滑模控制(SMC)的MPPT控制器,以确保TEG在任何进入条件下都能在其峰值功率下工作。为了验证MPPT方法的建模和真实功能,使用了一个HZ-20模块通过斩波馈送电阻。与Perturb and Observe (P&O)技术算法相比,所提出的跟踪器在静态和动态状态下都具有最佳性能。结果表明,该方法的平均效率比P&O方法的平均效率高98.58%,P&O方法的平均效率为96.02%。
{"title":"Modeling and simulation of thermo electrical generator with MPPT","authors":"Abdelhakim Belkaid, I. Colak, K. Kayisli","doi":"10.1109/ICRERA.2017.8191181","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191181","url":null,"abstract":"Nowadays, thermo electrical (TE) modules are increasingly popular because their prices go down and new potential applications have emerged. This paper presents modeling, simulation, and control of the power generation of a thermoelectric generator (TEG) using Matlab/Simulink. To get the aim of maximizing the power from the TEG, an MPPT controller based on sliding mode control (SMC) was implemented on a boost DC/DC converter, to ensure that the TEG operates at its peak power whatever the conditions of entry. To examine the modeling and the truthful function of the MPPT method, an HZ-20 module feeding a resistor through a chopper was used. The proposed tracker offers best performances in static and dynamic regimes comparing to Perturb and Observe (P&O) technical algorithm. The results indicate that the average efficiency of the proposed method is found equal to 98.58% greater than the efficiency attained by P&O which is equal to 96.02%.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"65 1","pages":"855-860"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82090566","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191081
J. Chhor, P. Tourou, C. Sourkounis
The penetration level of decentralized power generation plants based on renewable energy sources are continuously increasing with wind energy having a significant share. Considering present developments towards a purely renewable energy based electricity supply, Wind Energy Conversion Systems (WECS) play an important role in securing a stable, reliable and continuous supply of energy. Particularly in weak distribution grids with frequent power quality implications, WECS need to reliably operate and stable the grid. This paper presents advanced control strategies for DFIG-type WECS during unbalanced voltage conditions Applying resonant controllers, negative sequence components are well-controlled, contributing to an improved operation behavior particularly during less severe but persistent unbalanced grid voltages.
{"title":"On advanced control strategies for DFIG-based wind energy conversion systems during voltage unbalance","authors":"J. Chhor, P. Tourou, C. Sourkounis","doi":"10.1109/ICRERA.2017.8191081","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191081","url":null,"abstract":"The penetration level of decentralized power generation plants based on renewable energy sources are continuously increasing with wind energy having a significant share. Considering present developments towards a purely renewable energy based electricity supply, Wind Energy Conversion Systems (WECS) play an important role in securing a stable, reliable and continuous supply of energy. Particularly in weak distribution grids with frequent power quality implications, WECS need to reliably operate and stable the grid. This paper presents advanced control strategies for DFIG-type WECS during unbalanced voltage conditions Applying resonant controllers, negative sequence components are well-controlled, contributing to an improved operation behavior particularly during less severe but persistent unbalanced grid voltages.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"55 1","pages":"331-338"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82136874","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 : 2017-11-01DOI: 10.1109/DISTRA.2017.8191138
S. Bayhan, Yupeng Liu, S. Demirbas
This paper proposes a novel energy and power management algorithm for AC microgrid operating with limited power sources, to ensure power quality and stability of the main grid. In a microgrid system, the renewable energy sources (RES) are commonly associated with conventional power sources and energy storage devices, due to the variety of the former. However, how to utilize the RES and energy storage system to constantly and steadily supply the loads, further more how to supply extra power to or draw necessary power from the main grid, is an essential issue when there is limited power sources of The microgrid if without a conventional power source. This paper solves that issue through an energy management algorithm. Simulation is conducted and results verify the proposed method.
{"title":"A novel energy management algorithm for islanded AC microgrid with limited power sources","authors":"S. Bayhan, Yupeng Liu, S. Demirbas","doi":"10.1109/DISTRA.2017.8191138","DOIUrl":"https://doi.org/10.1109/DISTRA.2017.8191138","url":null,"abstract":"This paper proposes a novel energy and power management algorithm for AC microgrid operating with limited power sources, to ensure power quality and stability of the main grid. In a microgrid system, the renewable energy sources (RES) are commonly associated with conventional power sources and energy storage devices, due to the variety of the former. However, how to utilize the RES and energy storage system to constantly and steadily supply the loads, further more how to supply extra power to or draw necessary power from the main grid, is an essential issue when there is limited power sources of The microgrid if without a conventional power source. This paper solves that issue through an energy management algorithm. Simulation is conducted and results verify the proposed method.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"2 1","pages":"64-69"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82356400","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}