Pub Date : 2015-06-16DOI: 10.1109/ICCEP.2015.7177537
M. Cliandone, R. Campaner, A. M. Pavan, V. Arcidiacono, F. Milano, G. Sulligoi
Photovoltaic power plants connected to the high voltage transmission network are requested to support grid voltage regulation. This paper proposes a voltage and reactive power control for PV power plants based on a hierarchical voltage control which is typical in transmission systems but that has not been considered so far for distribution systems. The effectiveness of the proposed control scheme is duly discussed in the paper and tested through simulations.
{"title":"Coordinated voltage control of multi-converter power plants operating in transmission systems. The case of photovoltaics","authors":"M. Cliandone, R. Campaner, A. M. Pavan, V. Arcidiacono, F. Milano, G. Sulligoi","doi":"10.1109/ICCEP.2015.7177537","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177537","url":null,"abstract":"Photovoltaic power plants connected to the high voltage transmission network are requested to support grid voltage regulation. This paper proposes a voltage and reactive power control for PV power plants based on a hierarchical voltage control which is typical in transmission systems but that has not been considered so far for distribution systems. The effectiveness of the proposed control scheme is duly discussed in the paper and tested through simulations.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116467827","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 : 2015-06-16DOI: 10.1109/ICCEP.2015.7177657
P. L. Carotenuto, A. Di Piazza, M. C. Di Piazza, M. Luna, G. Petrone, G. Spagnuolo
Geostatistical approaches are commonly used in many disciplines, but they can be also useful also in identifying the operating conditions of a photovoltaic field, especially when solar irradiance hits differently its modules or when partial shading occurs. Despite some applications has been presented in literature, different aspects related to the accuracy of the operating condition identification process have been not yet analyzed into detail. This paper is aimed at discussing the dependence of the process with respect to the parameters of the geostatistical method. Moreover, a method for the prediction of the shadow motion is proposed and verified in simulation. The interest of this work relies in opening the on-line application of the proposed methods, e.g. in the dynamic photovoltaic systems reconfiguration.
{"title":"A geostatistical approach for identifying the shadowing conditions affecting a PV plant","authors":"P. L. Carotenuto, A. Di Piazza, M. C. Di Piazza, M. Luna, G. Petrone, G. Spagnuolo","doi":"10.1109/ICCEP.2015.7177657","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177657","url":null,"abstract":"Geostatistical approaches are commonly used in many disciplines, but they can be also useful also in identifying the operating conditions of a photovoltaic field, especially when solar irradiance hits differently its modules or when partial shading occurs. Despite some applications has been presented in literature, different aspects related to the accuracy of the operating condition identification process have been not yet analyzed into detail. This paper is aimed at discussing the dependence of the process with respect to the parameters of the geostatistical method. Moreover, a method for the prediction of the shadow motion is proposed and verified in simulation. The interest of this work relies in opening the on-line application of the proposed methods, e.g. in the dynamic photovoltaic systems reconfiguration.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125730365","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 : 2015-06-16DOI: 10.1109/ICCEP.2015.7177554
F. Bonanno, G. Capizzi, G. Lo Sciuto, C. Napoli
Wind power penetration is increasing more and more in the modern power system and an accurate wind power forecasting is now required to provide an help to the system operator to consider this renewable source in economic scheduling and other typical tasks of the electrical power system or in smart grid applications. The novelty of this Wavelet Recurrent Neural Network (WRNN) based approach consists on the model construction for micro wind generations. The WRNN does not provides only a prediction for the wavelet coefficients like in other previous studies of the authors in this research area but it is able to reconstruct directly the power signal from band-selected coefficients. The presented approach does not provides only an accurate forecasting model respect to the state of art in the field, but it is also useful for case studies which suffer of a major lack of wind data regarding the geographic site and of accurate and long historical study of the wind speed time series. In fact due to the proposed method of training based on a semiparametric input data preprocessing as Parzen windows then wind power output forecasting is improved.
{"title":"Wavelet recurrent neural network with semi-parametric input data preprocessing for micro-wind power forecasting in integrated generation Systems","authors":"F. Bonanno, G. Capizzi, G. Lo Sciuto, C. Napoli","doi":"10.1109/ICCEP.2015.7177554","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177554","url":null,"abstract":"Wind power penetration is increasing more and more in the modern power system and an accurate wind power forecasting is now required to provide an help to the system operator to consider this renewable source in economic scheduling and other typical tasks of the electrical power system or in smart grid applications. The novelty of this Wavelet Recurrent Neural Network (WRNN) based approach consists on the model construction for micro wind generations. The WRNN does not provides only a prediction for the wavelet coefficients like in other previous studies of the authors in this research area but it is able to reconstruct directly the power signal from band-selected coefficients. The presented approach does not provides only an accurate forecasting model respect to the state of art in the field, but it is also useful for case studies which suffer of a major lack of wind data regarding the geographic site and of accurate and long historical study of the wind speed time series. In fact due to the proposed method of training based on a semiparametric input data preprocessing as Parzen windows then wind power output forecasting is improved.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128179328","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 : 2015-06-16DOI: 10.1109/ICCEP.2015.7177636
Le Anh Dao, L. Piroddi, L. Ferrarini
The present paper addresses the problem of control of power flows in a microgrid endowed with wind electrical energy generation and electrical energy storage. The contribution is twofold: it first investigates the problems related to the design of short-medium term wind energy power predictors, intended for control applications in dispatching electricity problems. Then, such predictors are used in the development of a control system, based on Model Predictive Control (MPC), for a microgrid containing a flexible load, energy storage, wind farm, and a point of common coupling with the national electricity grid. In particular, the paper provides an evaluation of the impact of the above mentioned predictors on the quality of the control scheme. A basic sensitivity analysis is performed to test the dependency of the control results with respect to the main parameters of the MPC.
{"title":"Impact of wind power prediction quality on the optimal control of microgrids","authors":"Le Anh Dao, L. Piroddi, L. Ferrarini","doi":"10.1109/ICCEP.2015.7177636","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177636","url":null,"abstract":"The present paper addresses the problem of control of power flows in a microgrid endowed with wind electrical energy generation and electrical energy storage. The contribution is twofold: it first investigates the problems related to the design of short-medium term wind energy power predictors, intended for control applications in dispatching electricity problems. Then, such predictors are used in the development of a control system, based on Model Predictive Control (MPC), for a microgrid containing a flexible load, energy storage, wind farm, and a point of common coupling with the national electricity grid. In particular, the paper provides an evaluation of the impact of the above mentioned predictors on the quality of the control scheme. A basic sensitivity analysis is performed to test the dependency of the control results with respect to the main parameters of the MPC.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115907798","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 : 2015-06-16DOI: 10.1109/ICCEP.2015.7177548
J. G. Olazarri, A. Mazón, S. Rementeria, I. Albizu, E. Fernández
Different dynamic line rating systems have been developed in order to monitor lines and calculate the actual line rating. In this paper weather, conductor temperature and conductor tension based systems are analyzed. Measurements in two pilot lines were taken. One of them is the 66 kV evacuation line of a wind farm whereas, the other one is a 30 kV distribution line. In the analysis, actual rating values are calculated with the measurements of each system. Due to the fact that DLR results of the conductor temperature and conductor tension systems are inaccurate when differences between conductor temperature and ambient temperature are low, the analysis is made at different temperature ranges.
{"title":"Performance of dynamic line rating systems for wind integration","authors":"J. G. Olazarri, A. Mazón, S. Rementeria, I. Albizu, E. Fernández","doi":"10.1109/ICCEP.2015.7177548","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177548","url":null,"abstract":"Different dynamic line rating systems have been developed in order to monitor lines and calculate the actual line rating. In this paper weather, conductor temperature and conductor tension based systems are analyzed. Measurements in two pilot lines were taken. One of them is the 66 kV evacuation line of a wind farm whereas, the other one is a 30 kV distribution line. In the analysis, actual rating values are calculated with the measurements of each system. Due to the fact that DLR results of the conductor temperature and conductor tension systems are inaccurate when differences between conductor temperature and ambient temperature are low, the analysis is made at different temperature ranges.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131672310","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 : 2015-06-16DOI: 10.1109/ICCEP.2015.7177642
A. L. M. Mufaris, J. Baba, S. Yoshizawa, Y. Hayashi
Dynamic operation of voltage regulator (VR) has been proposed for voltage regulation in a distribution system with large integration of distributed generators (DGs). In conventional voltage control, VR's tap operation is adjusted based on the local bus voltage or voltage at load center. When considerable DGs are interconnected, voltage profile and power flow are not same as that of with conventional distribution system, at some instant reverse power flow may exist at the end of the distribution line or at VR. Thus there are possibilities of having voltage violation due to improper tap operation of VRs. This paper proposes a new method to determine line drop compensation (LDC) parameters based on the estimated current at VR. Voltage regulating point is shifted along the distribution line so that proper tap operation of VR is carried out to retain voltage regulation. It is found from the analysis that voltage violation is significantly reduced by the proposed method in comparison with conventional method.
{"title":"Determination of dynamic line drop compensation parameters of voltage regulators for voltage rise mitigation","authors":"A. L. M. Mufaris, J. Baba, S. Yoshizawa, Y. Hayashi","doi":"10.1109/ICCEP.2015.7177642","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177642","url":null,"abstract":"Dynamic operation of voltage regulator (VR) has been proposed for voltage regulation in a distribution system with large integration of distributed generators (DGs). In conventional voltage control, VR's tap operation is adjusted based on the local bus voltage or voltage at load center. When considerable DGs are interconnected, voltage profile and power flow are not same as that of with conventional distribution system, at some instant reverse power flow may exist at the end of the distribution line or at VR. Thus there are possibilities of having voltage violation due to improper tap operation of VRs. This paper proposes a new method to determine line drop compensation (LDC) parameters based on the estimated current at VR. Voltage regulating point is shifted along the distribution line so that proper tap operation of VR is carried out to retain voltage regulation. It is found from the analysis that voltage violation is significantly reduced by the proposed method in comparison with conventional method.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114407561","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 : 2015-06-16DOI: 10.1109/ICCEP.2015.7177576
F. Bonanno, G. Capizzi, G. L. Sciuto
Multilevel inverters are increasingly considered in integrated generation systems (IGSs) due their significant advantages and low voltage output harmonics content. In this paper a switching neural network (SNN)-based method to provide the switching pattern for harmonics reduction is proposed. We perform the implementation of this new paradigm to establish the switching pattern for a five level three-phase inverter. The provided results as well as the main guidelines for SNN software and hardware implementation show the significance of this approach.
{"title":"Solving harmonics reduction problem in multilevel inverters by switching neural networks-based approach","authors":"F. Bonanno, G. Capizzi, G. L. Sciuto","doi":"10.1109/ICCEP.2015.7177576","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177576","url":null,"abstract":"Multilevel inverters are increasingly considered in integrated generation systems (IGSs) due their significant advantages and low voltage output harmonics content. In this paper a switching neural network (SNN)-based method to provide the switching pattern for harmonics reduction is proposed. We perform the implementation of this new paradigm to establish the switching pattern for a five level three-phase inverter. The provided results as well as the main guidelines for SNN software and hardware implementation show the significance of this approach.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116312690","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 : 2015-06-16DOI: 10.1109/ICCEP.2015.7177569
S. Musumeci
Switching devices such as Silicon Carbide (SiC) MOSFET present significant performance improvement in high frequency switching power converter applications. This paper presents a gate charge profile investigation of a Silicon Carbide MOSFET and gate driver circuit solutions to optimize both switching speed, power losses and EMI requirements. Main technology issues of Silicon carbide MOSFET are presented in order to understand the correlation between the technology solutions and the switching performances. Driver circuit requirements are highlighted and discussed. A Miller plateau identification method is presented. An independently circuit control principle of drain current and drain-source voltage is presented and discussed. The circuital technique allows a positive impact on the reduction of power losses and electromagnetic interferences level.
{"title":"Gate charge control of high-voltage Silicon-Carbide (SiC) MOSFET in power converter applications","authors":"S. Musumeci","doi":"10.1109/ICCEP.2015.7177569","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177569","url":null,"abstract":"Switching devices such as Silicon Carbide (SiC) MOSFET present significant performance improvement in high frequency switching power converter applications. This paper presents a gate charge profile investigation of a Silicon Carbide MOSFET and gate driver circuit solutions to optimize both switching speed, power losses and EMI requirements. Main technology issues of Silicon carbide MOSFET are presented in order to understand the correlation between the technology solutions and the switching performances. Driver circuit requirements are highlighted and discussed. A Miller plateau identification method is presented. An independently circuit control principle of drain current and drain-source voltage is presented and discussed. The circuital technique allows a positive impact on the reduction of power losses and electromagnetic interferences level.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122106499","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 : 2015-06-16DOI: 10.1109/ICCEP.2015.7177652
I. Albizu, E. Fernández, A. Mazón, K. Sagastabeitia, M. Bedialauneta, J. G. Olazarri
Wind power has a significant impact on the operation of electricity markets in areas with high penetration of wind power. As the electricity market is planned some hours in advance, it is necessary to forecast the wind power. Besides, wind power forecasting techniques can be adapted for the overhead line rating forecasting. This can be useful for defining advanced strategies for grid operation and improve the wind power integration. This paper analyzes the similarities and differences between the wind power forecasting and the overhead line rating forecasting. Some overhead line rating forecasting experiences are described and the preliminary results of a pilot project are shown.
{"title":"Overhead line rating forecasting for the integration of wind power in electricity markets","authors":"I. Albizu, E. Fernández, A. Mazón, K. Sagastabeitia, M. Bedialauneta, J. G. Olazarri","doi":"10.1109/ICCEP.2015.7177652","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177652","url":null,"abstract":"Wind power has a significant impact on the operation of electricity markets in areas with high penetration of wind power. As the electricity market is planned some hours in advance, it is necessary to forecast the wind power. Besides, wind power forecasting techniques can be adapted for the overhead line rating forecasting. This can be useful for defining advanced strategies for grid operation and improve the wind power integration. This paper analyzes the similarities and differences between the wind power forecasting and the overhead line rating forecasting. Some overhead line rating forecasting experiences are described and the preliminary results of a pilot project are shown.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128332941","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 : 2015-06-16DOI: 10.1109/ICCEP.2015.7177606
P. L. Carotenuto, G. Petrone, G. Spagnuolo
The recognition of the main features shown by a photovoltaic module through its current vs. voltage curve is of main interest in many applications, e.g. diagnosis and dynamical reconfiguration. Indeed, the automatic detection of the fact that it works in mismatched conditions, or some data directly related to its health conditions would be very useful. The curve is usually acquired by a switching converter, performing a voltage/current scanning, and it consists of a number of samples. The processing of a high number of samples requires computation resources that are than those ones available through actual embedded systems and also long data transfer sessions towards a centralized logging system. In this paper an algorithm which does not need any prior knowledge about the module, but which is able to identify the main features from the current vs. voltage curve of the module thereof is presented. The solutions presented in this paper overcome some limitations shown by an algorithm recently presented in literature. The results are validated by using simulated as well as experimental curves.
{"title":"An adaptive method for the identification of the main features of photovoltaic modules","authors":"P. L. Carotenuto, G. Petrone, G. Spagnuolo","doi":"10.1109/ICCEP.2015.7177606","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177606","url":null,"abstract":"The recognition of the main features shown by a photovoltaic module through its current vs. voltage curve is of main interest in many applications, e.g. diagnosis and dynamical reconfiguration. Indeed, the automatic detection of the fact that it works in mismatched conditions, or some data directly related to its health conditions would be very useful. The curve is usually acquired by a switching converter, performing a voltage/current scanning, and it consists of a number of samples. The processing of a high number of samples requires computation resources that are than those ones available through actual embedded systems and also long data transfer sessions towards a centralized logging system. In this paper an algorithm which does not need any prior knowledge about the module, but which is able to identify the main features from the current vs. voltage curve of the module thereof is presented. The solutions presented in this paper overcome some limitations shown by an algorithm recently presented in literature. The results are validated by using simulated as well as experimental curves.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128209802","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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