Pub Date : 2016-04-02DOI: 10.1109/ICREDG.2016.7875901
M. R. Aghaebrahimi, Hossein Taherian
In smart grids environment, all participants, including different load types, are able to utilize the network. Advances in measurement tools in these networks make it easy to move towards dynamic pricing and non-fixed electricity tariffs. In this environment, the forecasted electricity price is declared to wholesale and retail consumers via Advanced Measurement Instruments (AMI). Therefore, motivated by different factors such as optimizing the economic/environmental issues or increasing the reliability, the customers are able to react to prices and manage their consumption. This pattern of reaction brings about extensive changes in the load and price curves of the network. On the other hand, environmental concerns resulting from the use of fossil fuels have increased the exploitation of renewable energies. But, as the penetration of renewable energy sources increases, serious improvements and modifications for the existing electric grid are needed to accommodate and integrate these intermittent sources. In this paper, a hybrid model is presented for simultaneous short term forecasting of electricity prices considering Distributed Generation (DG) in the price-sensitive environment of smart grids. The proposed model combines the Support Vector Regression (SVR) network with an Adaptive Neuro Fuzzy Inference System (ANFIS) network, and it is capable of tracking customers' reaction to declared prices. This model is applied on the data of power markets of Nordpool regrion, Denmark, where the smart grids are very active. The results of short term price forecasting for a target day (1/1/2016) shows the accuracy of the model.
{"title":"Short-term price forecasting considering distributed generation in the price-sensitive environment of smart grids","authors":"M. R. Aghaebrahimi, Hossein Taherian","doi":"10.1109/ICREDG.2016.7875901","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875901","url":null,"abstract":"In smart grids environment, all participants, including different load types, are able to utilize the network. Advances in measurement tools in these networks make it easy to move towards dynamic pricing and non-fixed electricity tariffs. In this environment, the forecasted electricity price is declared to wholesale and retail consumers via Advanced Measurement Instruments (AMI). Therefore, motivated by different factors such as optimizing the economic/environmental issues or increasing the reliability, the customers are able to react to prices and manage their consumption. This pattern of reaction brings about extensive changes in the load and price curves of the network. On the other hand, environmental concerns resulting from the use of fossil fuels have increased the exploitation of renewable energies. But, as the penetration of renewable energy sources increases, serious improvements and modifications for the existing electric grid are needed to accommodate and integrate these intermittent sources. In this paper, a hybrid model is presented for simultaneous short term forecasting of electricity prices considering Distributed Generation (DG) in the price-sensitive environment of smart grids. The proposed model combines the Support Vector Regression (SVR) network with an Adaptive Neuro Fuzzy Inference System (ANFIS) network, and it is capable of tracking customers' reaction to declared prices. This model is applied on the data of power markets of Nordpool regrion, Denmark, where the smart grids are very active. The results of short term price forecasting for a target day (1/1/2016) shows the accuracy of the model.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124915481","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 : 2016-04-02DOI: 10.1109/ICREDG.2016.7875908
J. Esmaeili, H. Jannesari
Using Lithium-ion batteries for small scale applications such as mobile phones, laptops and cameras and camcorders are absolutely widespread. But there are challenges in their use for large scale applications, such as electric vehicles and stationary stations in thermal power plants. One of the challenges is heat generation during cycling and its effect on increasing battery temperature. Excessive increase of temperature has negative effects on the efficiency, safety, reliability, performance and lifetime of battery cell, so it should be controlled by the battery thermal management techniques that maintain temperature within an allowed domain. To improve accuracy and performance of thermal management methods, exact amount of heat generation should be determined during charging and discharging. In this work, heat of mixing as an important source of heat that continue to be generate after cutoff current, is added into thermal modeling part of Dualfoil5.1 Code in order to accurately calculate the amount of heat generated in a battery cell at any point in time. With corrected Dualfoil5.1 code, it is found that even at the low-rate current of charging and discharging, amount of heat of mixing is non-negligible.
{"title":"Modeling the heat of mixing of LiMn2O4 pouch type battery","authors":"J. Esmaeili, H. Jannesari","doi":"10.1109/ICREDG.2016.7875908","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875908","url":null,"abstract":"Using Lithium-ion batteries for small scale applications such as mobile phones, laptops and cameras and camcorders are absolutely widespread. But there are challenges in their use for large scale applications, such as electric vehicles and stationary stations in thermal power plants. One of the challenges is heat generation during cycling and its effect on increasing battery temperature. Excessive increase of temperature has negative effects on the efficiency, safety, reliability, performance and lifetime of battery cell, so it should be controlled by the battery thermal management techniques that maintain temperature within an allowed domain. To improve accuracy and performance of thermal management methods, exact amount of heat generation should be determined during charging and discharging. In this work, heat of mixing as an important source of heat that continue to be generate after cutoff current, is added into thermal modeling part of Dualfoil5.1 Code in order to accurately calculate the amount of heat generated in a battery cell at any point in time. With corrected Dualfoil5.1 code, it is found that even at the low-rate current of charging and discharging, amount of heat of mixing is non-negligible.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"43 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129664272","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 : 2016-04-01DOI: 10.1109/ICREDG.2016.7875900
M. R. Aghaebrahimi, V. Amani-Shandiz
In presence of wind farms in a power system, operators will encounter more complexity in system utilization than before, because of the stochastic and fluctuating nature of the wind farm output. The presence of some constraints in power systems utilization may cause some restrictions in wind energy injection to the power system. Therefore, wind farm utilization may become non-cost effective in presence of these constraints. Using energy storage systems (ESS) in wind farms will have positive effects on power system utilization, which depend on regional wind regime and hourly energy prices. In this research, a new method is proposed to change the direction of wind farms' capacity allocation studies towards increasing wind farms' capacity. In fact, in this study, the capacity of ESS and the wind farm hourly output power are determined in a way that wind farm total income in one year and its capacity factor are increased as much as possible. So, power system utilizers' tendency towards increasing wind power penetration in power system will be raised as total income and wind farm capacity factor increase. In this paper, particle swarm optimization (PSO) is applied to find optimal ESS capacity and hourly energy management. Results demonstrate that despite high cost of energy storage systems, by using the proposed method in energy management optimization, the total income from wind energy sales will increase. Also, these results acknowledge all justifications proposed towards increasing the wind farm capacity in primary planning studies.
{"title":"Application of battery-based energy storage in grid-connected wind farms in order to improve economical utilization","authors":"M. R. Aghaebrahimi, V. Amani-Shandiz","doi":"10.1109/ICREDG.2016.7875900","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875900","url":null,"abstract":"In presence of wind farms in a power system, operators will encounter more complexity in system utilization than before, because of the stochastic and fluctuating nature of the wind farm output. The presence of some constraints in power systems utilization may cause some restrictions in wind energy injection to the power system. Therefore, wind farm utilization may become non-cost effective in presence of these constraints. Using energy storage systems (ESS) in wind farms will have positive effects on power system utilization, which depend on regional wind regime and hourly energy prices. In this research, a new method is proposed to change the direction of wind farms' capacity allocation studies towards increasing wind farms' capacity. In fact, in this study, the capacity of ESS and the wind farm hourly output power are determined in a way that wind farm total income in one year and its capacity factor are increased as much as possible. So, power system utilizers' tendency towards increasing wind power penetration in power system will be raised as total income and wind farm capacity factor increase. In this paper, particle swarm optimization (PSO) is applied to find optimal ESS capacity and hourly energy management. Results demonstrate that despite high cost of energy storage systems, by using the proposed method in energy management optimization, the total income from wind energy sales will increase. Also, these results acknowledge all justifications proposed towards increasing the wind farm capacity in primary planning studies.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124739410","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 : 2016-04-01DOI: 10.1109/ICREDG.2016.7875915
Hossein Shahinzadeh, S. Fathi, Ayla Hasanalizadeh-Khosroshahi
Energy is a considerable factor used in most economic activities. The national security of many countries is dependent on the certain access to energy. Thus, the future generation and consumption in various forms of energy and their optimized applications assumed considerable importance. Iran is known as one of the countries possessing significant energy resources in the world. Almost 11% of oil fields and 16% of global gas reserves are located in Iran. Due to the growing trend of energy consumption, cheap energy and low efficiency of the relevant equipment, future expansion plans for energy in Iran requires appropriate concerns. In this article, regarding to the importance energy planning, modeling of Iran's energy systems and computing the amount of required energy for its primary energy carriers, according to the existing energy model, for the next 20 years is investigated. The modeling is done by LEAP software, and Iran's future energy is analyzed through introducing the scenario of using combined heat and power simultaneous generation systems (CHP) as a nominate for demand side consumption management.
{"title":"Long-term energy planning in IRAN using LEAP scenario: Using combined heat and power (CHP)","authors":"Hossein Shahinzadeh, S. Fathi, Ayla Hasanalizadeh-Khosroshahi","doi":"10.1109/ICREDG.2016.7875915","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875915","url":null,"abstract":"Energy is a considerable factor used in most economic activities. The national security of many countries is dependent on the certain access to energy. Thus, the future generation and consumption in various forms of energy and their optimized applications assumed considerable importance. Iran is known as one of the countries possessing significant energy resources in the world. Almost 11% of oil fields and 16% of global gas reserves are located in Iran. Due to the growing trend of energy consumption, cheap energy and low efficiency of the relevant equipment, future expansion plans for energy in Iran requires appropriate concerns. In this article, regarding to the importance energy planning, modeling of Iran's energy systems and computing the amount of required energy for its primary energy carriers, according to the existing energy model, for the next 20 years is investigated. The modeling is done by LEAP software, and Iran's future energy is analyzed through introducing the scenario of using combined heat and power simultaneous generation systems (CHP) as a nominate for demand side consumption management.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127867739","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 : 2016-04-01DOI: 10.1109/ICREDG.2016.7875905
Homa Rashidizadeh Kermani, M. Dahraie, H. Najafi
The penetration level of renewable energy resources such as wind and photovoltaic in power systems is increasing. The intermittent nature of such resources introduces challenges for frequency and voltage regulation. On the other hand, with increasing the presence of EVs in the future grids and their charging/discharging management can provide ancillary services, such as frequency regulation to the microgrid. In this paper, a new strategy for charging or discharging of EVs in the presence of renewable resources is proposed. In this strategy, with the application of day-ahead load and generation of renewables, a cost signal is obtained to manage EVs charging and discharging process. Based on this cost signal, EVs are encouraged to discharge their stored energy while the microgrid power reserve is low and they charge when the power reserve is high. Moreover, four modes are defined in a way that EVs respond to frequency deviations in both charging and discharging processes. The results show that the proposed strategy in decreasing the frequency deviations and improving the power reserve of the microgrid is successful.
{"title":"Frequency control of a microgrid including renewable resources with energy management of electric vehicles","authors":"Homa Rashidizadeh Kermani, M. Dahraie, H. Najafi","doi":"10.1109/ICREDG.2016.7875905","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875905","url":null,"abstract":"The penetration level of renewable energy resources such as wind and photovoltaic in power systems is increasing. The intermittent nature of such resources introduces challenges for frequency and voltage regulation. On the other hand, with increasing the presence of EVs in the future grids and their charging/discharging management can provide ancillary services, such as frequency regulation to the microgrid. In this paper, a new strategy for charging or discharging of EVs in the presence of renewable resources is proposed. In this strategy, with the application of day-ahead load and generation of renewables, a cost signal is obtained to manage EVs charging and discharging process. Based on this cost signal, EVs are encouraged to discharge their stored energy while the microgrid power reserve is low and they charge when the power reserve is high. Moreover, four modes are defined in a way that EVs respond to frequency deviations in both charging and discharging processes. The results show that the proposed strategy in decreasing the frequency deviations and improving the power reserve of the microgrid is successful.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123091692","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 : 2016-04-01DOI: 10.1109/ICREDG.2016.7875907
M. H. Refan, M. Kamarzarrin, Adel Ameshghi
In recent decades by reducing the fossil fuel sources, use of new energy and wind energy in particular, has attracted many attentions. The most important factors affecting the productivity of wind turbines is wind speed and direction that is constantly changing. One method for power control of wind turbines is change the angle of the wind turbine blade, proportional to the wind speed changes. In this paper in order to control of wind turbine's pitch, has been used of an adaptive method based on model reference control and this result compared with PIP control. The results show that PIP controller compared to adaptive controller has a weaker performance. The results show that the tracking error of model reference adaptive control improved about 25.64%. According to the results adaptive method has lesser than other classic methods and production power at varying wind speeds is reached faster to desired level.
{"title":"Control of wind turbine's pitch angle based on DFIG by using MRAC and PIP controller","authors":"M. H. Refan, M. Kamarzarrin, Adel Ameshghi","doi":"10.1109/ICREDG.2016.7875907","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875907","url":null,"abstract":"In recent decades by reducing the fossil fuel sources, use of new energy and wind energy in particular, has attracted many attentions. The most important factors affecting the productivity of wind turbines is wind speed and direction that is constantly changing. One method for power control of wind turbines is change the angle of the wind turbine blade, proportional to the wind speed changes. In this paper in order to control of wind turbine's pitch, has been used of an adaptive method based on model reference control and this result compared with PIP control. The results show that PIP controller compared to adaptive controller has a weaker performance. The results show that the tracking error of model reference adaptive control improved about 25.64%. According to the results adaptive method has lesser than other classic methods and production power at varying wind speeds is reached faster to desired level.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960825","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 : 2016-04-01DOI: 10.1109/ICREDG.2016.7875902
Navid Yektay, Fatemeh Daburi Farimani, M. Kaffash, M. H. Javidi, Saleh Fazaeli
Recently, in a lot of power markets, costs arisen from imbalance generation of wind farms are taken from owners of the power plants which cause it. Consequently, the wind farm owner's benefit is threatened. It is assumed in this paper that the wind farm owner turns to utilize forward, put option and call option contracts in order to overcome benefit reduction caused by application of imbalance penalties. His aim is to determine optimal amounts of each contract to manage the risks. Indeed, maximizing benefit expectation besides minimizing its standard deviation, are considered as two parallel objective functions. Simulation results show that, besides promotion of expected benefit, the power plant owner can substantially reduce his risks utilizing financial contracts.
{"title":"Utilization of financial contracts by wind power plants to benefit promotion and risk reduction","authors":"Navid Yektay, Fatemeh Daburi Farimani, M. Kaffash, M. H. Javidi, Saleh Fazaeli","doi":"10.1109/ICREDG.2016.7875902","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875902","url":null,"abstract":"Recently, in a lot of power markets, costs arisen from imbalance generation of wind farms are taken from owners of the power plants which cause it. Consequently, the wind farm owner's benefit is threatened. It is assumed in this paper that the wind farm owner turns to utilize forward, put option and call option contracts in order to overcome benefit reduction caused by application of imbalance penalties. His aim is to determine optimal amounts of each contract to manage the risks. Indeed, maximizing benefit expectation besides minimizing its standard deviation, are considered as two parallel objective functions. Simulation results show that, besides promotion of expected benefit, the power plant owner can substantially reduce his risks utilizing financial contracts.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133080795","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 : 2016-04-01DOI: 10.1109/ICREDG.2016.7875898
M. Eydi, B. Asaei, Javad Farhang, Reza Emamalipour
The increasing growth of wind power plants has resulted in an increase in their impact on the stability of the power system. In this case, for ensuring the grid stability, these resources must inject an almost constant power into the grid. One way to produce a constant power is to use a hybrid energy storage system. In this method, the maximum power is obtained from the wind. The smoothed power is delivered to the grid and the fluctuations are compensated by the energy storage system. One of the challenges in this method is that during the control by compensating the power fluctuations by means of the energy storage system, the energy level of these resources varies. The other challenge is to extend the energy storage system lifetime during its operation to meet the needs of the power system. In this paper, a method is proposed to control the capacitor and the battery charge and discharge amount in a hybrid energy storage system. In this approach, by injecting the feed-forward current into the battery reference current, the capacitor voltage is regulated and by considering the battery condition, the feed-forward current is determined in a way that the capacitor voltage quickly reaches the ideal amount and also a current with high peak amount doesn't pass through the battery. In addition, the feed-forward current is adjusted in a way so that the unnecessary charge and discharges of the battery, which is resulted from the power division by the filter, are reduced. The functionality of the proposed method is shown in MATLAB software and Simulink environment.
{"title":"An innovative control method for adjusting the capacitor bank voltage of the hybrid energy storage system for a PMSG based wind turbine","authors":"M. Eydi, B. Asaei, Javad Farhang, Reza Emamalipour","doi":"10.1109/ICREDG.2016.7875898","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875898","url":null,"abstract":"The increasing growth of wind power plants has resulted in an increase in their impact on the stability of the power system. In this case, for ensuring the grid stability, these resources must inject an almost constant power into the grid. One way to produce a constant power is to use a hybrid energy storage system. In this method, the maximum power is obtained from the wind. The smoothed power is delivered to the grid and the fluctuations are compensated by the energy storage system. One of the challenges in this method is that during the control by compensating the power fluctuations by means of the energy storage system, the energy level of these resources varies. The other challenge is to extend the energy storage system lifetime during its operation to meet the needs of the power system. In this paper, a method is proposed to control the capacitor and the battery charge and discharge amount in a hybrid energy storage system. In this approach, by injecting the feed-forward current into the battery reference current, the capacitor voltage is regulated and by considering the battery condition, the feed-forward current is determined in a way that the capacitor voltage quickly reaches the ideal amount and also a current with high peak amount doesn't pass through the battery. In addition, the feed-forward current is adjusted in a way so that the unnecessary charge and discharges of the battery, which is resulted from the power division by the filter, are reduced. The functionality of the proposed method is shown in MATLAB software and Simulink environment.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123709142","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 : 2016-04-01DOI: 10.1109/ICREDG.2016.7875903
M. Kaffash, M. H. Javidi, A. Darudi
Under partial shading conditions (PSCs), photovoltaic (PV) systems have multiple local maximum power points while only one of them is the real maximum power point (RMPP), so maximum power point tracking (MPPT) is different under PSCs. In this paper, a method for maximum power point tracking (MPPT) is proposed which is a combination of conventional hill climbing and a modified version of current sweep method. If the panel is under normal irradiations, we apply conventional hill climbing method to find MPPT because this method is fairly efficient for uniform irradiation conditions. However in partial shading conditions (PSCs), it is unable to track RMPP; therefore we suggest applying current sweep method in PSC. In the proposed current sweep method, we limit search space so that the current sweep procedure takes less time, the RMPP is found faster and consequently efficiency of the current sweep method increases. To verify the validity of the proposed method, simulation results are given.
{"title":"A combinational maximum power point tracking algorithm in photovoltaic systems under partial shading conditions","authors":"M. Kaffash, M. H. Javidi, A. Darudi","doi":"10.1109/ICREDG.2016.7875903","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875903","url":null,"abstract":"Under partial shading conditions (PSCs), photovoltaic (PV) systems have multiple local maximum power points while only one of them is the real maximum power point (RMPP), so maximum power point tracking (MPPT) is different under PSCs. In this paper, a method for maximum power point tracking (MPPT) is proposed which is a combination of conventional hill climbing and a modified version of current sweep method. If the panel is under normal irradiations, we apply conventional hill climbing method to find MPPT because this method is fairly efficient for uniform irradiation conditions. However in partial shading conditions (PSCs), it is unable to track RMPP; therefore we suggest applying current sweep method in PSC. In the proposed current sweep method, we limit search space so that the current sweep procedure takes less time, the RMPP is found faster and consequently efficiency of the current sweep method increases. To verify the validity of the proposed method, simulation results are given.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126354021","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 : 2016-03-02DOI: 10.1109/ICREDG.2016.7875904
Mehdi Dolatkhah Fedafeni, A. Z. Moghadam, Hossein Javidi Dasht Bayaz
One of the largest obstacles faced by wind farm owners (WFOs) is uncertainty in generation. Due to it and uncertain pool price, it is a risky business. If the WFO could sell energy to the customers as a retailer, the risk will decrease while the profit increases. So in this case the WFO will trade with spot market and offers selling contracts to the customers. The customers can choose to buy their energy from the WFO at known prices for a year. Risk and profit both are considered as the parameters that specify the value of proposed method.
{"title":"Selling price determination to the customers for a wind farm owner","authors":"Mehdi Dolatkhah Fedafeni, A. Z. Moghadam, Hossein Javidi Dasht Bayaz","doi":"10.1109/ICREDG.2016.7875904","DOIUrl":"https://doi.org/10.1109/ICREDG.2016.7875904","url":null,"abstract":"One of the largest obstacles faced by wind farm owners (WFOs) is uncertainty in generation. Due to it and uncertain pool price, it is a risky business. If the WFO could sell energy to the customers as a retailer, the risk will decrease while the profit increases. So in this case the WFO will trade with spot market and offers selling contracts to the customers. The customers can choose to buy their energy from the WFO at known prices for a year. Risk and profit both are considered as the parameters that specify the value of proposed method.","PeriodicalId":207212,"journal":{"name":"2016 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114893861","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：