2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)最新文献
Pub Date : 2018-06-11DOI: 10.1109/EEEIC.2018.8494550
Dirk Johan van Vuuren, A. Marnewick, J. Pretorius
The successful implementation of solar photovoltaic technology in retail centers has enabled various consumers the ability to generate and consume electricity on the same premises, reducing electricity costs and dependency on currently utilities. The rooftop mounting solution consists of affixing the photovoltaic modules on existing roof structures of retail centres. Accelerated deployment of photovoltaic technologies in recent history (within developing countries) led to various logistical, technical and bureaucratic barriers arising. A comprehensive understanding of these barriers is required to ensure efficient and effective deployment of the technology in developing countries. This study investigates the assessment considerations for the pre-deployment phase of photovoltaic technologies in retail centres. Environmental-, policy-, technical-, and financial factors are identified as the main barriers affecting the financial viability and Return on Investment of such a project. The evolution of this technology within developing countries and the integration of PV and retail centres are investigated. Finally, various financial evaluation criteria are presented to which the viability of the technology is determined. Understanding of the various barriers ensures effective deployment of the technology in retail centres, commercial and residential sectors of an economy.
{"title":"A Theoretical Pre-Assessment of Solar Photovoltaic Electrical Production for Commercial Retail Centers","authors":"Dirk Johan van Vuuren, A. Marnewick, J. Pretorius","doi":"10.1109/EEEIC.2018.8494550","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494550","url":null,"abstract":"The successful implementation of solar photovoltaic technology in retail centers has enabled various consumers the ability to generate and consume electricity on the same premises, reducing electricity costs and dependency on currently utilities. The rooftop mounting solution consists of affixing the photovoltaic modules on existing roof structures of retail centres. Accelerated deployment of photovoltaic technologies in recent history (within developing countries) led to various logistical, technical and bureaucratic barriers arising. A comprehensive understanding of these barriers is required to ensure efficient and effective deployment of the technology in developing countries. This study investigates the assessment considerations for the pre-deployment phase of photovoltaic technologies in retail centres. Environmental-, policy-, technical-, and financial factors are identified as the main barriers affecting the financial viability and Return on Investment of such a project. The evolution of this technology within developing countries and the integration of PV and retail centres are investigated. Finally, various financial evaluation criteria are presented to which the viability of the technology is determined. Understanding of the various barriers ensures effective deployment of the technology in retail centres, commercial and residential sectors of an economy.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"65 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80201448","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 : 2018-06-11DOI: 10.1109/EEEIC.2018.8494594
Nabanita Dutta, S. Umashankar, V. K. A. Shankar, Sanjeevikumar Padmanaban, Zbigniew Leonowicz, P. Wheeler
Cavitation is one of the major disadvantages in pumping system, which enhance to form bubbles in the pipeline and it reduces the efficiency of the pump. So it should be identified and take the preventive measure. Machine Learning is a fast and computational method which can easily detect any faults in the pumping system. Still now lots of work has been done on a detection of fault in the pumping system, but mainly those work has done based on vibration details and variation of speed. The paper presents how by the help of machine learning algorithm by varying the speed and pressure cavitation can be identified. It is the comparative study between how the vibration and speed together affects the cavitation result and variation of speed and pressure affects the cavitation. Support Vector Machine is one of the classification methods in machine learning algorithm where it can be easily classified the cavitation problem. So this paper analyses how the method of SVM can more efficiently detect the cavitation problem with the centrifugal water pump.
{"title":"Centrifugal Pump Cavitation Detection Using Machine Learning Algorithm Technique","authors":"Nabanita Dutta, S. Umashankar, V. K. A. Shankar, Sanjeevikumar Padmanaban, Zbigniew Leonowicz, P. Wheeler","doi":"10.1109/EEEIC.2018.8494594","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494594","url":null,"abstract":"Cavitation is one of the major disadvantages in pumping system, which enhance to form bubbles in the pipeline and it reduces the efficiency of the pump. So it should be identified and take the preventive measure. Machine Learning is a fast and computational method which can easily detect any faults in the pumping system. Still now lots of work has been done on a detection of fault in the pumping system, but mainly those work has done based on vibration details and variation of speed. The paper presents how by the help of machine learning algorithm by varying the speed and pressure cavitation can be identified. It is the comparative study between how the vibration and speed together affects the cavitation result and variation of speed and pressure affects the cavitation. Support Vector Machine is one of the classification methods in machine learning algorithm where it can be easily classified the cavitation problem. So this paper analyses how the method of SVM can more efficiently detect the cavitation problem with the centrifugal water pump.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76196371","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 : 2018-06-11DOI: 10.1109/EEEIC.2018.8493961
F. Giacalone, A. Tamburini, M. Papapetrou, A. Cipollina, G. Micale
Salinity gradient is a non-conventional renewable energy form which is widely available worldwide. Reverse Electrodialysis is a promising and innovative technology able to convert directly this chemical renewable energy into electricity. This paper presents a number of different scenarios where salinity gradients are naturally available or they result from industrial/urban activities. A sophisticated model accounting for all the main phenomena (including all the detrimental ones) occurring within a Reverse Electrodialysis unit has been purposely developed. The model is used to calculate how much electric energy can be harvested from the above-mentioned salinity gradients.
{"title":"Reverse Electrodialysis: Applications to Different Case Studies","authors":"F. Giacalone, A. Tamburini, M. Papapetrou, A. Cipollina, G. Micale","doi":"10.1109/EEEIC.2018.8493961","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8493961","url":null,"abstract":"Salinity gradient is a non-conventional renewable energy form which is widely available worldwide. Reverse Electrodialysis is a promising and innovative technology able to convert directly this chemical renewable energy into electricity. This paper presents a number of different scenarios where salinity gradients are naturally available or they result from industrial/urban activities. A sophisticated model accounting for all the main phenomena (including all the detrimental ones) occurring within a Reverse Electrodialysis unit has been purposely developed. The model is used to calculate how much electric energy can be harvested from the above-mentioned salinity gradients.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"19 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91251684","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 : 2018-06-11DOI: 10.1109/EEEIC.2018.8494382
Alessandro Aliberti, Francesca Maria Ugliotti, Lorenzo Bottaccioli, G. Cirrincione, A. Osello, E. Macii, E. Patti, A. Acquaviva
In the last few years, the reduction of energy consumption and pollution became mandatory. It became also a common goal of many countries. Only in Europe, the building sector is responsible for the total 40% of energy consumption and 36% of $CO_{2}$ pollution. Therefore, new control policies based on the forecast of buildings energy behaviors can be developed to reduce energy waste (i.e. policies for Demand Response and Demand Side Management). This paper discusses an innovative methodology for smart building indoor air-temperature forecasting. This methodology is based on a Non-linear Autoregressive neural network. This neural network has been trained and validated with a dataset consisting of six years indoor air-temperature values of a building demonstrator. In detail, we have studied three characterizing rooms and the whole building. Experimental results of energy prediction are presented and discussed.
{"title":"Indoor Air-Temperature Forecast for Energy-Efficient Management in Smart Buildings","authors":"Alessandro Aliberti, Francesca Maria Ugliotti, Lorenzo Bottaccioli, G. Cirrincione, A. Osello, E. Macii, E. Patti, A. Acquaviva","doi":"10.1109/EEEIC.2018.8494382","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494382","url":null,"abstract":"In the last few years, the reduction of energy consumption and pollution became mandatory. It became also a common goal of many countries. Only in Europe, the building sector is responsible for the total 40% of energy consumption and 36% of $CO_{2}$ pollution. Therefore, new control policies based on the forecast of buildings energy behaviors can be developed to reduce energy waste (i.e. policies for Demand Response and Demand Side Management). This paper discusses an innovative methodology for smart building indoor air-temperature forecasting. This methodology is based on a Non-linear Autoregressive neural network. This neural network has been trained and validated with a dataset consisting of six years indoor air-temperature values of a building demonstrator. In detail, we have studied three characterizing rooms and the whole building. Experimental results of energy prediction are presented and discussed.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"23 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82804143","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 : 2018-06-11DOI: 10.1109/EEEIC.2018.8493950
Alex Mouapi, N. Hakem, N. Kandil, G. Kamani
Wireless Sensor Networks (WSNs) powered by an Energy Harvesting (EH) system, known as EH-WSN are increasingly seen as the appropriate monitoring medium for environments for which, wired connections can be troublesome. This is, for example, the case of the vehicles in which many sensors are increasingly incorporated, thus resulting in a significant number of wired connections. In this paper, the vibrational-powered vehicle's sensors, through piezoelectric transducers is considered. The design method presented here is to enslave the sensor node to the amount of the extracted energy from mechanical vibrations. The piezoelectric transducer is modeled with Simscape tool of Matlab/Simulink software. The characteristics of vibrations detected in a vehicle are used as simulation parameters. The energy budget of a sensor node is quantified and used to evaluate the performance of the autonomous WSN. The range of the WSN is used as a performance metric. A maximum distance of 327 m is obtained for two sensor nodes which exchange information every 10 min. This is a promising result that can be applied in Vehicular Adhoc NETwork (VANET) to improve driving safety.
{"title":"Vibrational-Powered Vehicle's Mesh Wireless Sensor Network: Performance Evaluation","authors":"Alex Mouapi, N. Hakem, N. Kandil, G. Kamani","doi":"10.1109/EEEIC.2018.8493950","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8493950","url":null,"abstract":"Wireless Sensor Networks (WSNs) powered by an Energy Harvesting (EH) system, known as EH-WSN are increasingly seen as the appropriate monitoring medium for environments for which, wired connections can be troublesome. This is, for example, the case of the vehicles in which many sensors are increasingly incorporated, thus resulting in a significant number of wired connections. In this paper, the vibrational-powered vehicle's sensors, through piezoelectric transducers is considered. The design method presented here is to enslave the sensor node to the amount of the extracted energy from mechanical vibrations. The piezoelectric transducer is modeled with Simscape tool of Matlab/Simulink software. The characteristics of vibrations detected in a vehicle are used as simulation parameters. The energy budget of a sensor node is quantified and used to evaluate the performance of the autonomous WSN. The range of the WSN is used as a performance metric. A maximum distance of 327 m is obtained for two sensor nodes which exchange information every 10 min. This is a promising result that can be applied in Vehicular Adhoc NETwork (VANET) to improve driving safety.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"39 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83806871","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 : 2018-06-11DOI: 10.1109/EEEIC.2018.8494544
L. de Santoli, Gianluigi Lo Basso, Giulia Spiridigliozzi, D. Garcia
This paper deals with the potential role of new hybrid energy systems application along with the heating share concept. It analyses the possibility to develop new plant refurbishment strategy so as to promote the deployment of small scale smart energy systems. Up to now, many new technologies have been implemented can be used for achieving the NZEB objectives. The paper clears up how is possible to share the heat for a small group of dwellings arranged in a single lot. Through the use of a new plant layout for high temperature heat production, it was possible to investigate and compare the results with the typical separated generation systems. Therefore, the new plant design allows the four dwellings to share a cold heat sink able to feed 4 trans-critical CO2 heat pumps. In this way, the four dwellings have been interconnected each other by that hydraulic loop while the electricity is generated by PV arrays and CHP. Outcomes of this comparative analysis has been reported and discussed.
{"title":"Innovative Hybrid Energy Systems for Heading Towards NZEB Qualification for Existing Buildings","authors":"L. de Santoli, Gianluigi Lo Basso, Giulia Spiridigliozzi, D. Garcia","doi":"10.1109/EEEIC.2018.8494544","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494544","url":null,"abstract":"This paper deals with the potential role of new hybrid energy systems application along with the heating share concept. It analyses the possibility to develop new plant refurbishment strategy so as to promote the deployment of small scale smart energy systems. Up to now, many new technologies have been implemented can be used for achieving the NZEB objectives. The paper clears up how is possible to share the heat for a small group of dwellings arranged in a single lot. Through the use of a new plant layout for high temperature heat production, it was possible to investigate and compare the results with the typical separated generation systems. Therefore, the new plant design allows the four dwellings to share a cold heat sink able to feed 4 trans-critical CO2 heat pumps. In this way, the four dwellings have been interconnected each other by that hydraulic loop while the electricity is generated by PV arrays and CHP. Outcomes of this comparative analysis has been reported and discussed.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"49 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73891563","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 : 2018-06-11DOI: 10.1109/EEEIC.2018.8493917
T. Golubeva, S. Abdreshova, S. Konshin, B. Aliyarov, Shabden Bahtaev, Inkar Duisenbek
Paper considers in details the process of influence of pulsed electric power impact on the shape of bubbles in the process of ozone treatment of liquid. The three main stages of the existence of gas bubbles were investigated: nucleation, growth and separation of the bubble from the surface. There are presented formulas for determining the value of the critical bubble radius, the lifetime of a gas bubble on a gas permeable surface, and the bubble volume at the time of separation. The process of ejection of a gas mixture into a solution is considered, it is clear that simultaneous use of corona discharge electric ozonator and water-air ejector allows to realize a complex technology “ozone-ozonation of solutions”, and also that the radius of a bubble r0 is decisive in the development of a flow-through reactor of ejection type.
{"title":"Electric Power Effect on the Formation and Disappearance of Gas Bubbles in the Ozone Treatment of Liquids","authors":"T. Golubeva, S. Abdreshova, S. Konshin, B. Aliyarov, Shabden Bahtaev, Inkar Duisenbek","doi":"10.1109/EEEIC.2018.8493917","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8493917","url":null,"abstract":"Paper considers in details the process of influence of pulsed electric power impact on the shape of bubbles in the process of ozone treatment of liquid. The three main stages of the existence of gas bubbles were investigated: nucleation, growth and separation of the bubble from the surface. There are presented formulas for determining the value of the critical bubble radius, the lifetime of a gas bubble on a gas permeable surface, and the bubble volume at the time of separation. The process of ejection of a gas mixture into a solution is considered, it is clear that simultaneous use of corona discharge electric ozonator and water-air ejector allows to realize a complex technology “ozone-ozonation of solutions”, and also that the radius of a bubble r0 is decisive in the development of a flow-through reactor of ejection type.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"468 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77525308","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 : 2018-06-11DOI: 10.1109/EEEIC.2018.8494591
E. Riva Sanseverino, Q. Tran, M. L. Di Silvestre, B. V. Doan, N. Nguyen
This paper presents a method that is applied to optimize the placement of Static VAR compensators in a real low-voltage grid in the Vietnamese territory. In this way, the voltage profile of the distribution grid turns to be improved. A heuristic method, the Binary Particle Swarm Optimization, is used to find a solution to this problem within the Matlab environment. A case study that considers a high penetration of rooftop PV systems in a branch of Soc Son distribution grid is implemented to show the efficiency of the optimization method for this specific application.
{"title":"Voltage Profile Improvement for Soc Son's Low-Voltage Grid with High Penetration of PV Systems by Optimizing the Location of SVC Devices","authors":"E. Riva Sanseverino, Q. Tran, M. L. Di Silvestre, B. V. Doan, N. Nguyen","doi":"10.1109/EEEIC.2018.8494591","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494591","url":null,"abstract":"This paper presents a method that is applied to optimize the placement of Static VAR compensators in a real low-voltage grid in the Vietnamese territory. In this way, the voltage profile of the distribution grid turns to be improved. A heuristic method, the Binary Particle Swarm Optimization, is used to find a solution to this problem within the Matlab environment. A case study that considers a high penetration of rooftop PV systems in a branch of Soc Son distribution grid is implemented to show the efficiency of the optimization method for this specific application.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"24 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81675953","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 : 2018-06-11DOI: 10.1109/EEEIC.2018.8494501
S. Sukumar, M. Marsadek, A. Ramasamy, H. Mokhlis
Battery energy storage systems (BESSs) can support microgrid's economic operation. In this paper, the optimal capacity of BESS is determined for economic operation of microgrid. The BESS sizing problem is solved simultaneously with “mix-mode energy management system” (MM-EMS). Here, the MM-EMS is solved using linear programming (LP), and mixed integer linear programming (MILP) optimization techniques. Metaheuristic optimization techniques such as grey wolf optimizer (GWO), particle swarm optimization (PSO), artificial bee colony (ABC), gravitational search algorithm (GSA) and genetic algorithm (GA) are used to solve the BESS sizing problem and a comparison of its performance is also carried out. It was found that GWO produces the most optimal solution than other optimization techniques. With this, the performance of the proposed BESS sizing method is validated with traditional tradeoff method. Moreover, a comparison in microgrid's operating cost with and without BESS is carried out. It was also found that, 70% savings in microgrid's operating cost can be achieved when microgrid is operated with BESS.
{"title":"Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid","authors":"S. Sukumar, M. Marsadek, A. Ramasamy, H. Mokhlis","doi":"10.1109/EEEIC.2018.8494501","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494501","url":null,"abstract":"Battery energy storage systems (BESSs) can support microgrid's economic operation. In this paper, the optimal capacity of BESS is determined for economic operation of microgrid. The BESS sizing problem is solved simultaneously with “mix-mode energy management system” (MM-EMS). Here, the MM-EMS is solved using linear programming (LP), and mixed integer linear programming (MILP) optimization techniques. Metaheuristic optimization techniques such as grey wolf optimizer (GWO), particle swarm optimization (PSO), artificial bee colony (ABC), gravitational search algorithm (GSA) and genetic algorithm (GA) are used to solve the BESS sizing problem and a comparison of its performance is also carried out. It was found that GWO produces the most optimal solution than other optimization techniques. With this, the performance of the proposed BESS sizing method is validated with traditional tradeoff method. Moreover, a comparison in microgrid's operating cost with and without BESS is carried out. It was also found that, 70% savings in microgrid's operating cost can be achieved when microgrid is operated with BESS.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"8 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88835132","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 : 2018-06-11DOI: 10.1109/EEEIC.2018.8494417
A. Cabrera-Tobar, M. Aragüés-Peñalba, O. Gomis‐Bellmunt
New grid requirements for large scale photovoltaic power plants (LS-PVPPs) demanding ancillary services make necessary the enhancement of photovoltaic (PV) generator's control. One of the challenges is the reactive power control despite the variable conditions. The aim of this paper is to present the response of reactive power considering the PV generator's capability curves and variable ambient conditions when maximum power point tracker (MPPT) is used for the active power control. For this purpose, a single PV generator of 0.6 MVA is simulated in DIgSILENT PowerFactory®. The results show that the active and reactive power varies with the ambient conditions.
{"title":"Effect of Variable Solar Irradiance on the Reactive Power Response of Photovoltaic Generators","authors":"A. Cabrera-Tobar, M. Aragüés-Peñalba, O. Gomis‐Bellmunt","doi":"10.1109/EEEIC.2018.8494417","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494417","url":null,"abstract":"New grid requirements for large scale photovoltaic power plants (LS-PVPPs) demanding ancillary services make necessary the enhancement of photovoltaic (PV) generator's control. One of the challenges is the reactive power control despite the variable conditions. The aim of this paper is to present the response of reactive power considering the PV generator's capability curves and variable ambient conditions when maximum power point tracker (MPPT) is used for the active power control. For this purpose, a single PV generator of 0.6 MVA is simulated in DIgSILENT PowerFactory®. The results show that the active and reactive power varies with the ambient conditions.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"102 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75873719","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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