Pub Date : 2015-06-16DOI: 10.1109/ICCEP.2015.7177616
B. Bitzer, E. S. Gebretsadik
Power delivery systems are composed of generation, transmission and distribution system networks, loads, control and management systems. In the effort of providing a clean electric power to the consumer not only the energy sources need to be reformed but also all the above components have to be considered simultaneously using Information and Communication Technology (ICT) to reduce cost, save energy, increase sustainability and reliability. In addition to the traditional energy generation, transmission and distribution networks, the future grids expected to accommodate the distributed renewable energy generation, energy storage, demand side management systems, the ability to moderate consumption through dynamic pricing and demand response load reduction signaling based on grid and market conditions. Such smart grid applications require computing infrastructures that guarantees scalability, real-time, consistency, privacy and security. This paper tries to assess the smart grid applications computing requirements, review literatures in this topic and suggest green solutions.
{"title":"Ensuring future clean electrical energy supply through cloud computing","authors":"B. Bitzer, E. S. Gebretsadik","doi":"10.1109/ICCEP.2015.7177616","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177616","url":null,"abstract":"Power delivery systems are composed of generation, transmission and distribution system networks, loads, control and management systems. In the effort of providing a clean electric power to the consumer not only the energy sources need to be reformed but also all the above components have to be considered simultaneously using Information and Communication Technology (ICT) to reduce cost, save energy, increase sustainability and reliability. In addition to the traditional energy generation, transmission and distribution networks, the future grids expected to accommodate the distributed renewable energy generation, energy storage, demand side management systems, the ability to moderate consumption through dynamic pricing and demand response load reduction signaling based on grid and market conditions. Such smart grid applications require computing infrastructures that guarantees scalability, real-time, consistency, privacy and security. This paper tries to assess the smart grid applications computing requirements, review literatures in this topic and suggest green solutions.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"23 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":"134054869","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.2015.7177631
A. P. Ferreira, C. Vaz
This paper intends to give some insights on the performance comparison of two main conversion system technologies from a set of wind farms from two major promoters in the Portuguese wind energy sector. Conversion system technologies under analysis are based on the generator type, synchronous and asynchronous, which are the basis of the dominant technological trends in actual market. The performance assessment is accomplished using Data Envelopment Analysis (DEA) methodology, by computing the Malmquist index for group's comparison. From the obtained results, it is possible to conclude that farms with conversion systems based on synchronous generators have a better performance than the ones using conversion systems based on asynchronous generators. These conclusions may support the decision makers in repowering and overpowering processes.
{"title":"Performance comparison of wind energy conversion system technologies","authors":"A. P. Ferreira, C. Vaz","doi":"10.1109/ICCEP.2015.7177631","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177631","url":null,"abstract":"This paper intends to give some insights on the performance comparison of two main conversion system technologies from a set of wind farms from two major promoters in the Portuguese wind energy sector. Conversion system technologies under analysis are based on the generator type, synchronous and asynchronous, which are the basis of the dominant technological trends in actual market. The performance assessment is accomplished using Data Envelopment Analysis (DEA) methodology, by computing the Malmquist index for group's comparison. From the obtained results, it is possible to conclude that farms with conversion systems based on synchronous generators have a better performance than the ones using conversion systems based on asynchronous generators. These conclusions may support the decision makers in repowering and overpowering processes.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"41 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":"114269615","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.2015.7177552
L. Cristaldi, M. Faifer, G. Leone, S. Vergura
The paper deals with the issues to monitor the energy performance of Photo Voltaic (PV) fields by means of low cost hardware. In fact, the monitoring systems for low or medium rated power PV plants are often constituted by a limited number of sensors and low processing capacity. These systems allow a supervision of the PV fields when strong reductions of the produced energy happen, but they are ineffective to alert the end user about a gradual energy reduction. These issues are related to the natural ageing of PV modules, the dust or dirt accumulation on the PV modules, and so on. This paper proposes a methodology based on inferential tools, which return information about the correct operation of the PV field. The methodology needs an initial training that allows to define one or more reference strings, which will be used as benchmarks for future comparisons.
{"title":"Reference strings for statistical monitoring of the energy performance of photovoltaic fields","authors":"L. Cristaldi, M. Faifer, G. Leone, S. Vergura","doi":"10.1109/ICCEP.2015.7177552","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177552","url":null,"abstract":"The paper deals with the issues to monitor the energy performance of Photo Voltaic (PV) fields by means of low cost hardware. In fact, the monitoring systems for low or medium rated power PV plants are often constituted by a limited number of sensors and low processing capacity. These systems allow a supervision of the PV fields when strong reductions of the produced energy happen, but they are ineffective to alert the end user about a gradual energy reduction. These issues are related to the natural ageing of PV modules, the dust or dirt accumulation on the PV modules, and so on. This paper proposes a methodology based on inferential tools, which return information about the correct operation of the PV field. The methodology needs an initial training that allows to define one or more reference strings, which will be used as benchmarks for future comparisons.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"688 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":"115117669","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.2015.7177594
H. Martínez-García, A. Grau-Saldes
This article shows the proposal of a linear-assisted converter or linear-&-switching hybrid converter with a constant switching frequency. The control loop of the system is based on the current-mode technique. The main disadvantage of a converter with current-mode control is the inherent instability of the loop when switch duty ratios are greater than 0.5. In order to make stable the proposed linear-assisted converter, the article shows the technique based on a slope compensation.
{"title":"Constant switching frequency control-based linear-assisted DC/DC regulator for photovoltaic solar-powered facilities","authors":"H. Martínez-García, A. Grau-Saldes","doi":"10.1109/ICCEP.2015.7177594","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177594","url":null,"abstract":"This article shows the proposal of a linear-assisted converter or linear-&-switching hybrid converter with a constant switching frequency. The control loop of the system is based on the current-mode technique. The main disadvantage of a converter with current-mode control is the inherent instability of the loop when switch duty ratios are greater than 0.5. In order to make stable the proposed linear-assisted converter, the article shows the technique based on a slope compensation.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"52 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":"121738962","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.2015.7177610
A. F. Morgera, V. Lughi
As photovoltaics (PV) cost reduction driven by economies of scale is approaching a limit, technological breakthroughs are likely to become again the next driver for further growth. In this paper, we review the most significant photovoltaic (PV) device technologies. First, commercially available cells and modules are briefly surveyed, focusing on the innovations that have recently reached the market, both in silicon-based and thin-film devices. We then identify some significant pre-market technologies such as organic PV and dye-sensitized solar cells, outlining the advantages as well as the obstacles that still hinder large-scale commercialization. A critical review is finally presented for the most promising approaches and some emerging technologies currently under investigation for simultaneously meeting the three key objectives in PV research, all aiming at further reducing the cost per kWh: low fabrication cost, systems integration, and overcoming the standard limit for photoconversion efficiency. All approaches heavily rely on nanotechnology, as the key mechanisms involved in PV conversion occur at the nanoscale.
{"title":"Frontiers of photovoltaic technology: A review","authors":"A. F. Morgera, V. Lughi","doi":"10.1109/ICCEP.2015.7177610","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177610","url":null,"abstract":"As photovoltaics (PV) cost reduction driven by economies of scale is approaching a limit, technological breakthroughs are likely to become again the next driver for further growth. In this paper, we review the most significant photovoltaic (PV) device technologies. First, commercially available cells and modules are briefly surveyed, focusing on the innovations that have recently reached the market, both in silicon-based and thin-film devices. We then identify some significant pre-market technologies such as organic PV and dye-sensitized solar cells, outlining the advantages as well as the obstacles that still hinder large-scale commercialization. A critical review is finally presented for the most promising approaches and some emerging technologies currently under investigation for simultaneously meeting the three key objectives in PV research, all aiming at further reducing the cost per kWh: low fabrication cost, systems integration, and overcoming the standard limit for photoconversion efficiency. All approaches heavily rely on nanotechnology, as the key mechanisms involved in PV conversion occur at the nanoscale.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":" 37","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113950899","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.2015.7177538
T. Ratniyomchai, S. Hillmansen, P. Tricoli
This paper presents a methodology to design the optimal capacitances and locations of stationary supercapacitors for light DC railways based on a single train simulator. The objective function of the optimisation problem takes into account the energy consumption of the substations and the total line energy loss. The problem includes an isoperimetric constraint to maintain to zero the net energy supplied by supercapacitors at the end of each cycle. The suitable fitting weight coefficients employed in the objective functions can be obtained by the Genetic Algorithm and Particle Swam Optimisation. The learning process of the optimisation procedure studies the effect of the energy storage capacity for different positions of supercapacitors along the track. From the optimisation algorithm it has been found that the minimal capacitance for each section is obtained when supercapacitors are located around the middle between two adjacent substations. Finally, the examples of the practical design of the supercapacitors modules have been presented by using commercially available modules.
{"title":"Energy loss minimisation by optimal design of stationary supercapacitors for light railways","authors":"T. Ratniyomchai, S. Hillmansen, P. Tricoli","doi":"10.1109/ICCEP.2015.7177538","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177538","url":null,"abstract":"This paper presents a methodology to design the optimal capacitances and locations of stationary supercapacitors for light DC railways based on a single train simulator. The objective function of the optimisation problem takes into account the energy consumption of the substations and the total line energy loss. The problem includes an isoperimetric constraint to maintain to zero the net energy supplied by supercapacitors at the end of each cycle. The suitable fitting weight coefficients employed in the objective functions can be obtained by the Genetic Algorithm and Particle Swam Optimisation. The learning process of the optimisation procedure studies the effect of the energy storage capacity for different positions of supercapacitors along the track. From the optimisation algorithm it has been found that the minimal capacitance for each section is obtained when supercapacitors are located around the middle between two adjacent substations. Finally, the examples of the practical design of the supercapacitors modules have been presented by using commercially available modules.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"466 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":"123876117","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.2015.7177553
D. Lauria, S. Quaia
Aiming to explore the applicability of Gas-Insulated Lines (GILs) over long distances, in this paper we perform a technical comparison between a GIL and a three-conductor bundled, traditional overhead line (OHL), for a 400 kV, 200 km long connection. The technical comparison is based upon transmission capacity and power losses. We derive the transmission capacity of the two systems from the relevant loadability curves, for the selected line length L=200 km. For this length, OHLs loadability curves are normally determined by the voltage drop limit, ΔVmax (i.e. the maximum voltage drop allowed across the line), whereas the GIL loadability can be determined - according to the selected GIL parameters - by the thermal limit. In addition to power losses in the conductors, Gil losses include losses in the enclosures. The results point out remarkable advantages for the GIL solution.
{"title":"Technical comparison between a gas-insulated line and a traditional three-bundled OHL for a 400 kV, 200 km connection","authors":"D. Lauria, S. Quaia","doi":"10.1109/ICCEP.2015.7177553","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177553","url":null,"abstract":"Aiming to explore the applicability of Gas-Insulated Lines (GILs) over long distances, in this paper we perform a technical comparison between a GIL and a three-conductor bundled, traditional overhead line (OHL), for a 400 kV, 200 km long connection. The technical comparison is based upon transmission capacity and power losses. We derive the transmission capacity of the two systems from the relevant loadability curves, for the selected line length L=200 km. For this length, OHLs loadability curves are normally determined by the voltage drop limit, ΔVmax (i.e. the maximum voltage drop allowed across the line), whereas the GIL loadability can be determined - according to the selected GIL parameters - by the thermal limit. In addition to power losses in the conductors, Gil losses include losses in the enclosures. The results point out remarkable advantages for the GIL solution.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"84 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":"126267757","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.2015.7177566
A. Dannier, A. Del Pizzo, M. Giugni, N. Fontana, G. Marini, D. Proto
The paper deals with the efficiency evaluation of a micro-generation unit for energy recovery in water distribution networks. The analyzed system includes an electric motor-driven pump working as turbine/generator, connected to the electrical grid through a bi-directional power converter. The micro-generation unit is implemented in an experimental setup which simulates a real water network in a reduced scale. The unit was tested and analyzed in order to monitor some critical electrical quantities as well as to evaluate its generating efficiency. In the measurements campaign, various operating conditions were analyzed. The corresponding results are reported and discussed.
{"title":"Efficiency evaluation of a micro-generation system for energy recovery in water distribution networks","authors":"A. Dannier, A. Del Pizzo, M. Giugni, N. Fontana, G. Marini, D. Proto","doi":"10.1109/ICCEP.2015.7177566","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177566","url":null,"abstract":"The paper deals with the efficiency evaluation of a micro-generation unit for energy recovery in water distribution networks. The analyzed system includes an electric motor-driven pump working as turbine/generator, connected to the electrical grid through a bi-directional power converter. The micro-generation unit is implemented in an experimental setup which simulates a real water network in a reduced scale. The unit was tested and analyzed in order to monitor some critical electrical quantities as well as to evaluate its generating efficiency. In the measurements campaign, various operating conditions were analyzed. The corresponding results are reported and discussed.","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":"130261484","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.2015.7177572
B. Abegaz, S. Mahajan
The integration of distributed energy resources (DERs) into the power grid provides support for a significant share of the total power load and helps reduce transmission power losses. However, these advantages are not always guaranteed since the power profiles of DERs have high variability and the number of DERs is too many to control on an individual basis. In a hybrid energy system, these problems are counteracted through the aggregation and balancing of the variability of each distributed energy resource. This paper discusses optimal dispatch control mechanisms for 200 V, 500 Ah battery energy storage systems that support a 10 MW hybrid energy system, composed of distributed energy sources such as 1 MW solar photovoltaic (PV) generation and a 9 MW wind turbine based generation. The proposed mechanisms focus on the dispatch control of energy storage systems using forward and backward induction. For that purpose, the interdependence of frequency, state of charge (SOC), undercharge and reversible effects in the battery energy systems were used to identify the optimal operating margin for the dispatch of the energy storage systems. The hybrid energy system was implemented using Matlab-Simulink and the dispatch control mechanism was programmed using IBM CPLEX studio. With such setup, the hybrid system was able to maintain 85% capacity factor per day while the system interruption and unavailability were reduced by 65%. The results demonstrate that the functionality of DERs increases significantly while being supported by optimally dispatched energy storage systems.
{"title":"Optimal dispatch control of energy storage systems using forward-backward induction","authors":"B. Abegaz, S. Mahajan","doi":"10.1109/ICCEP.2015.7177572","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177572","url":null,"abstract":"The integration of distributed energy resources (DERs) into the power grid provides support for a significant share of the total power load and helps reduce transmission power losses. However, these advantages are not always guaranteed since the power profiles of DERs have high variability and the number of DERs is too many to control on an individual basis. In a hybrid energy system, these problems are counteracted through the aggregation and balancing of the variability of each distributed energy resource. This paper discusses optimal dispatch control mechanisms for 200 V, 500 Ah battery energy storage systems that support a 10 MW hybrid energy system, composed of distributed energy sources such as 1 MW solar photovoltaic (PV) generation and a 9 MW wind turbine based generation. The proposed mechanisms focus on the dispatch control of energy storage systems using forward and backward induction. For that purpose, the interdependence of frequency, state of charge (SOC), undercharge and reversible effects in the battery energy systems were used to identify the optimal operating margin for the dispatch of the energy storage systems. The hybrid energy system was implemented using Matlab-Simulink and the dispatch control mechanism was programmed using IBM CPLEX studio. With such setup, the hybrid system was able to maintain 85% capacity factor per day while the system interruption and unavailability were reduced by 65%. The results demonstrate that the functionality of DERs increases significantly while being supported by optimally dispatched energy storage systems.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"24 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":"126715767","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.2015.7177558
E. Carlini, A. Ianniciello, C. Pisani, A. Vaccaro, D. Villacci
Renewable energy sources (RES), are widely recognized as an effective solution to face with the rapid depletion of oil resources and an interesting energy option to ensure the energy supplies security and the meeting of the targets imposed by the international regulatory frameworks devoted to contrast the global warming. Wind energy source is undoubtedly one of the primary energy source able to provide a significant contribution to the fulfillment of the load curve. Nonetheless, wind energy source is one of the most challenging to predict due to the (i) high level of uncertainty and randomness of the physical phenomenon, (ii) strong dependence on the site topography, (iii) high non-linearity of the involved processes. The massive penetration of wind farms in the existing electrical power systems hence sensibly affects the related secure operation. To provide a solution at the above issue, the present paper aims at the development of an advanced methodology for estimating the wind farms producibility and for characterizing locally the predictions of European Center for Medium-Range Weather Forecasts (ECMWF) model or equivalently the ones of the Consortium for Small-scale Modeling (COSMO). The ingredients which makes the developed methodology optimal are high resolution digital terrain models, proper lateral boundary conditions provided by COSMO-I2 model, optimized wind generation curves derived by the application of statistical identification techniques on wind speed-power. The research activities are included in a research project with the partnership of the Italian TSO, TERNA, and the Italian Center for Aereospatial Research, CIRA.
{"title":"An optimised methodology to predict the wind farms production","authors":"E. Carlini, A. Ianniciello, C. Pisani, A. Vaccaro, D. Villacci","doi":"10.1109/ICCEP.2015.7177558","DOIUrl":"https://doi.org/10.1109/ICCEP.2015.7177558","url":null,"abstract":"Renewable energy sources (RES), are widely recognized as an effective solution to face with the rapid depletion of oil resources and an interesting energy option to ensure the energy supplies security and the meeting of the targets imposed by the international regulatory frameworks devoted to contrast the global warming. Wind energy source is undoubtedly one of the primary energy source able to provide a significant contribution to the fulfillment of the load curve. Nonetheless, wind energy source is one of the most challenging to predict due to the (i) high level of uncertainty and randomness of the physical phenomenon, (ii) strong dependence on the site topography, (iii) high non-linearity of the involved processes. The massive penetration of wind farms in the existing electrical power systems hence sensibly affects the related secure operation. To provide a solution at the above issue, the present paper aims at the development of an advanced methodology for estimating the wind farms producibility and for characterizing locally the predictions of European Center for Medium-Range Weather Forecasts (ECMWF) model or equivalently the ones of the Consortium for Small-scale Modeling (COSMO). The ingredients which makes the developed methodology optimal are high resolution digital terrain models, proper lateral boundary conditions provided by COSMO-I2 model, optimized wind generation curves derived by the application of statistical identification techniques on wind speed-power. The research activities are included in a research project with the partnership of the Italian TSO, TERNA, and the Italian Center for Aereospatial Research, CIRA.","PeriodicalId":423870,"journal":{"name":"2015 International Conference on Clean Electrical Power (ICCEP)","volume":"74 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":"126740573","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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