2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)最新文献
Pub Date : 2019-06-10DOI: 10.1109/EEEIC.2019.8783785
M. Giuliani, A. Castelletti
Advanced modeling and control contribute to the design of efficient and sustainable water management strategies, which are challenged by the increasing frequency and intensity of extreme events often associated with large-scale climate signals, such as El Niño Southern Oscillation (ENSO). Despite ENSO-related information provides a great opportunity to make the operations of water systems more flexible and adaptive, incorporating it into an operating policy still represents a major challenge for optimal control algorithms. In this work, we contribute a framework combining Input Variable Selection techniques for ENSO detection with a data-driven control strategy to use this information for improving the system operations. Our framework is demonstrated on the control of the multipurpose Hoa Binh reservoir (Vietnam), showing that ENSO teleconnection represents a valuable information for addressing the performance tradeoffs between energy production, water supply, and flood protection.
{"title":"Data-driven control of water reservoirs using El Niño Southern Oscillation indexes","authors":"M. Giuliani, A. Castelletti","doi":"10.1109/EEEIC.2019.8783785","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783785","url":null,"abstract":"Advanced modeling and control contribute to the design of efficient and sustainable water management strategies, which are challenged by the increasing frequency and intensity of extreme events often associated with large-scale climate signals, such as El Niño Southern Oscillation (ENSO). Despite ENSO-related information provides a great opportunity to make the operations of water systems more flexible and adaptive, incorporating it into an operating policy still represents a major challenge for optimal control algorithms. In this work, we contribute a framework combining Input Variable Selection techniques for ENSO detection with a data-driven control strategy to use this information for improving the system operations. Our framework is demonstrated on the control of the multipurpose Hoa Binh reservoir (Vietnam), showing that ENSO teleconnection represents a valuable information for addressing the performance tradeoffs between energy production, water supply, and flood protection.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122179567","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 : 2019-06-10DOI: 10.1109/EEEIC.2019.8783692
Asadullah Khalid, Aditya Sundararajan, A. Sarwat
Energy Storage or battery management systems for Li-ion batteries require accurate prediction of state of charge (SOC). Existing methods predict SOC for a given charging/discharging rate (C-rate) using experimentally obtained values of cell current and voltage. However, in scenarios where there is a lack of such historical data, these methods perform poorly because of inadequate training data. This paper proposes a combinatorial model involving autoregressive integrated moving average (ARIMA) and a nonlinear autoregressive network with exogenous inputs (NARX-net). ARIMA is used to first predict cell current and cell voltage for the desired higher C-rate (C/10) only using the voltage and current from historical, lower C-rates (C/2 to C/8) of an actual 3.7V, 3.5Ah Li-ion battery. The NARX-net is used to predict SOC using the voltage and current values predicted by ARIMA. To train NARX-net, four algorithms are used, and their performance is evaluated by comparing the predicted SOC values with those obtained experimentally for C/10. Results show that the proposed data-driven model is effective at predicting SOC for Li-ion batteries given some preliminary historical data on current and voltage of previous, lower C-rates.
{"title":"A Multi-Step Predictive Model to Estimate Li-Ion State of Charge for Higher C-Rates","authors":"Asadullah Khalid, Aditya Sundararajan, A. Sarwat","doi":"10.1109/EEEIC.2019.8783692","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783692","url":null,"abstract":"Energy Storage or battery management systems for Li-ion batteries require accurate prediction of state of charge (SOC). Existing methods predict SOC for a given charging/discharging rate (C-rate) using experimentally obtained values of cell current and voltage. However, in scenarios where there is a lack of such historical data, these methods perform poorly because of inadequate training data. This paper proposes a combinatorial model involving autoregressive integrated moving average (ARIMA) and a nonlinear autoregressive network with exogenous inputs (NARX-net). ARIMA is used to first predict cell current and cell voltage for the desired higher C-rate (C/10) only using the voltage and current from historical, lower C-rates (C/2 to C/8) of an actual 3.7V, 3.5Ah Li-ion battery. The NARX-net is used to predict SOC using the voltage and current values predicted by ARIMA. To train NARX-net, four algorithms are used, and their performance is evaluated by comparing the predicted SOC values with those obtained experimentally for C/10. Results show that the proposed data-driven model is effective at predicting SOC for Li-ion batteries given some preliminary historical data on current and voltage of previous, lower C-rates.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116749109","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 : 2019-06-10DOI: 10.1109/EEEIC.2019.8783828
M. Landini, G. Mazzanti, L. Sandrolini, Fabrizio D’Adda
This paper presents a novel algorithm for the 3D calculation of the magnetic field generated by complex configurations of overhead power lines. The algorithm implements the Laplace formula and allows the catenary to be discretised in differential elements in order to obtain the three components Bx, By and Bz of the magnetic flux density. The calculation may be carried out at a point, on a plane or in a region of space.
{"title":"A Novel Algorithm for the 3D Calculation of the Magnetic Field Generated by Complex Configurations of Overhead Power Lines","authors":"M. Landini, G. Mazzanti, L. Sandrolini, Fabrizio D’Adda","doi":"10.1109/EEEIC.2019.8783828","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783828","url":null,"abstract":"This paper presents a novel algorithm for the 3D calculation of the magnetic field generated by complex configurations of overhead power lines. The algorithm implements the Laplace formula and allows the catenary to be discretised in differential elements in order to obtain the three components Bx, By and Bz of the magnetic flux density. The calculation may be carried out at a point, on a plane or in a region of space.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128771039","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 : 2019-06-10DOI: 10.1109/EEEIC.2019.8783619
D. I. Panfilov, A. N. Rozhkov, M. Astashev, I. I. Zhuravlev
The analysis of different approaches to the controlled thyristor static VAR compensators (CSVC) design is presented. The CSVC structural schemes are presented. The CSVC are carry out control of reactive power by controlling the effective value of the current flowing through the reactive element, changes in the resistance of the reactive element and changes in the effective voltage applied to the reactive element. The main features of the circuit design and control each of CSVC implementation are considered. The CSVC examples that implement each of the considered approaches are presented.
{"title":"Modern Approaches to Controlled Static VAR Compensators design","authors":"D. I. Panfilov, A. N. Rozhkov, M. Astashev, I. I. Zhuravlev","doi":"10.1109/EEEIC.2019.8783619","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783619","url":null,"abstract":"The analysis of different approaches to the controlled thyristor static VAR compensators (CSVC) design is presented. The CSVC structural schemes are presented. The CSVC are carry out control of reactive power by controlling the effective value of the current flowing through the reactive element, changes in the resistance of the reactive element and changes in the effective voltage applied to the reactive element. The main features of the circuit design and control each of CSVC implementation are considered. The CSVC examples that implement each of the considered approaches are presented.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121354521","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 : 2019-06-10DOI: 10.1109/EEEIC.2019.8783486
José A. G. Cararo, Alan H. F. Silva, J. C. Neto, Marcio R. C. Reis, W. Calixto
This paper presents a methodology of placement of multiple distributed-generation photovoltaic (DGPV) for minimization of voltage transgression in a power distribution real network. Currently, there are several methodologies for placement of distributed generators, still being an open question for the scientific community. The goal of this paper is to optimize siting, sizing and amount of multiple DGPV. The evaluation function used corresponds to the sum of the voltage transgressions in each phase, in a constrained optimization. The genetic algorithm was used in the optimization, besides a hybridized method based on genetic algorithm and Nelder–Mead method. At the end of the simulations, a reduction in the value of the evaluation function was obtained, which resulted a significant increase in the number of electrical nodes with adequate voltage levels.
{"title":"Methodology for voltage adequacy using photovoltaic distributed generation","authors":"José A. G. Cararo, Alan H. F. Silva, J. C. Neto, Marcio R. C. Reis, W. Calixto","doi":"10.1109/EEEIC.2019.8783486","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783486","url":null,"abstract":"This paper presents a methodology of placement of multiple distributed-generation photovoltaic (DGPV) for minimization of voltage transgression in a power distribution real network. Currently, there are several methodologies for placement of distributed generators, still being an open question for the scientific community. The goal of this paper is to optimize siting, sizing and amount of multiple DGPV. The evaluation function used corresponds to the sum of the voltage transgressions in each phase, in a constrained optimization. The genetic algorithm was used in the optimization, besides a hybridized method based on genetic algorithm and Nelder–Mead method. At the end of the simulations, a reduction in the value of the evaluation function was obtained, which resulted a significant increase in the number of electrical nodes with adequate voltage levels.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121416506","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 : 2019-06-10DOI: 10.1109/EEEIC.2019.8783388
Erlend Sandø Kiel, Gerd Hovin Kjølle
Extreme weather is known to cause failure bunching in the electrical transmission system. However, protection systems can also contribute to the worsening of the system state through spontaneous, missing or unwanted operation of the protection system. The latter two types of failures only occur when an initial failure has happened, and thus is more likely to happen when the probability of failure of transmission lines is high, such as in an extreme weather scenario. This causes an exacerbation of failure bunching effects, increasing the risk of blackouts, or High Impact Low Probability (HILP) events. This paper describes a method to model transmission line failure rates, considering both protection system reliability and extreme weather exposure. A sample case study is presented using the 6 bus RBTS test-system. The case study, using both an approximate method as well as a time-series approach to calculate reliability indices, demonstrates both a compact generalization of including protection system failures in reliability analysis, as well as the interaction between weather exposure and protection system failures and its impact on power system reliability indices. The results show that the inclusion of protection system failures can have a large impact on the estimated occurrence of higher order contingencies for adjacent lines, especially in periods of high weather exposure.
{"title":"The impact of protection system failures and weather exposure on power system reliability","authors":"Erlend Sandø Kiel, Gerd Hovin Kjølle","doi":"10.1109/EEEIC.2019.8783388","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783388","url":null,"abstract":"Extreme weather is known to cause failure bunching in the electrical transmission system. However, protection systems can also contribute to the worsening of the system state through spontaneous, missing or unwanted operation of the protection system. The latter two types of failures only occur when an initial failure has happened, and thus is more likely to happen when the probability of failure of transmission lines is high, such as in an extreme weather scenario. This causes an exacerbation of failure bunching effects, increasing the risk of blackouts, or High Impact Low Probability (HILP) events. This paper describes a method to model transmission line failure rates, considering both protection system reliability and extreme weather exposure. A sample case study is presented using the 6 bus RBTS test-system. The case study, using both an approximate method as well as a time-series approach to calculate reliability indices, demonstrates both a compact generalization of including protection system failures in reliability analysis, as well as the interaction between weather exposure and protection system failures and its impact on power system reliability indices. The results show that the inclusion of protection system failures can have a large impact on the estimated occurrence of higher order contingencies for adjacent lines, especially in periods of high weather exposure.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114233693","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 : 2019-06-10DOI: 10.1109/EEEIC.2019.8783874
Irina Mohora, Anamaria Andreea Anghel, Flaviu Mihai Frigura-Ilias
Contemporary workplace design demands unconstrained planning typologies, based on long-term vision regarding flexibility of space and remodeling, according to occupant activities and necessities. As creative thinking becomes the most powerful human asset, employee wellbeing demands major architectural and technical improvements to be included in office space-planning, reducing detrimental building-related health issues. Isolated or unplanned interventions are proven insufficient to acquire desired wellbeing results; therefore, a series of interrelated actions is needed for the creation of healthy workplaces. Specialty studies have been focusing for several years on developing architectural and technological solutions to enhance productivity, but the present study aims to interweave design and electrical engineering for wellbeing and environmental purposes. Firstly, connection to natural elements based on Biophilic attributes, is seen as restorative and offering balanced response to an increasingly denser built-environment. Secondly, the support of technical systems for indoor climate optimization aim to replicate outdoor environments while allowing local occupant control over individual comfort necessities.
{"title":"Smart solutions for adaptive workplaces. Architectural and technological applications","authors":"Irina Mohora, Anamaria Andreea Anghel, Flaviu Mihai Frigura-Ilias","doi":"10.1109/EEEIC.2019.8783874","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783874","url":null,"abstract":"Contemporary workplace design demands unconstrained planning typologies, based on long-term vision regarding flexibility of space and remodeling, according to occupant activities and necessities. As creative thinking becomes the most powerful human asset, employee wellbeing demands major architectural and technical improvements to be included in office space-planning, reducing detrimental building-related health issues. Isolated or unplanned interventions are proven insufficient to acquire desired wellbeing results; therefore, a series of interrelated actions is needed for the creation of healthy workplaces. Specialty studies have been focusing for several years on developing architectural and technological solutions to enhance productivity, but the present study aims to interweave design and electrical engineering for wellbeing and environmental purposes. Firstly, connection to natural elements based on Biophilic attributes, is seen as restorative and offering balanced response to an increasingly denser built-environment. Secondly, the support of technical systems for indoor climate optimization aim to replicate outdoor environments while allowing local occupant control over individual comfort necessities.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114799326","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 : 2019-06-10DOI: 10.1109/EEEIC.2019.8783296
Eva Contreras Arribas, Javier Herrero Lantarón, Cristina Aguilar Porro, María José Polo Gómez
The challenge to guarantee energy supply short and medium-term is essential for today’s energy sector in Europe. The high dependence on the weather of the renewable resources is currently moving the facilities management forward to the assessment and planning of the energy production. In this context, this work is focused on the use of forecasting climate data to foresee operation feasibility in small hydropower plants. With this aim, a technological climate service, SHYMAT (Small Hydropower Management Assessment Tool), is conceived as an on-line application targeted at end-users which brings automatically updated information of historical, real time and forecast data as well as local data of the specific hydropower plants. SHYMAT provides forecast of river streamflow and displays it in a user friendly web interface. Moreover this climate service shows information about the water volume available to be turbined (taking into account the minimum environmental flow), the energy production and the number of days of operability of the facility expected according to the forecast provided. This new climate service has been co-designed in tied connection with end users, perfectly suiting their needs and has been developed to be easily applied in other systems in order to satisfy local energy demands.
{"title":"Management and operation of small hydropower plants through a climate service targeted at end-users","authors":"Eva Contreras Arribas, Javier Herrero Lantarón, Cristina Aguilar Porro, María José Polo Gómez","doi":"10.1109/EEEIC.2019.8783296","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783296","url":null,"abstract":"The challenge to guarantee energy supply short and medium-term is essential for today’s energy sector in Europe. The high dependence on the weather of the renewable resources is currently moving the facilities management forward to the assessment and planning of the energy production. In this context, this work is focused on the use of forecasting climate data to foresee operation feasibility in small hydropower plants. With this aim, a technological climate service, SHYMAT (Small Hydropower Management Assessment Tool), is conceived as an on-line application targeted at end-users which brings automatically updated information of historical, real time and forecast data as well as local data of the specific hydropower plants. SHYMAT provides forecast of river streamflow and displays it in a user friendly web interface. Moreover this climate service shows information about the water volume available to be turbined (taking into account the minimum environmental flow), the energy production and the number of days of operability of the facility expected according to the forecast provided. This new climate service has been co-designed in tied connection with end users, perfectly suiting their needs and has been developed to be easily applied in other systems in order to satisfy local energy demands.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114880256","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 : 2019-06-10DOI: 10.1109/EEEIC.2019.8783547
Elisa Braco, Idoia San Martín, P. Sanchis, A. Ursúa
Nowadays, electric vehicle batteries reutilization is considered such as a feasible alternative to recycling, as it allows to benefit from their remaining energy and to enlarge their lifetime. Stationary applications as self-consumption or isolated systems support are examples of possible second life uses for these batteries. However, the modules that compose these batteries have very heterogeneous properties, and therefore condition their performance. This paper aims to characterize and analyze the existing capacity dispersion of Nissan Leaf modules that have reached the end of their lifetime on their original application and of new modules of this Electric Vehicle, in order to establish a comparison between them.
{"title":"Characterization and capacity dispersion of lithiumion second-life batteries from electric vehicles","authors":"Elisa Braco, Idoia San Martín, P. Sanchis, A. Ursúa","doi":"10.1109/EEEIC.2019.8783547","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783547","url":null,"abstract":"Nowadays, electric vehicle batteries reutilization is considered such as a feasible alternative to recycling, as it allows to benefit from their remaining energy and to enlarge their lifetime. Stationary applications as self-consumption or isolated systems support are examples of possible second life uses for these batteries. However, the modules that compose these batteries have very heterogeneous properties, and therefore condition their performance. This paper aims to characterize and analyze the existing capacity dispersion of Nissan Leaf modules that have reached the end of their lifetime on their original application and of new modules of this Electric Vehicle, in order to establish a comparison between them.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124118462","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 : 2019-06-10DOI: 10.1109/EEEIC.2019.8783435
A. Martins, Carlos Augusto Guimarães Medeiros, J. L. Domingos, M. Reis, Wesley Calixto Pacheco, Raphael de Aquino Gomes
The objective of this paper is to carry out a study to reduce costs with the electric energy bill of the Federal Institute of Goiás - Campus Goiânia, with grid-connected PV system installed, by optimizing the contracting of active power demand and the orientation of the photovoltaic panels. The study is carried out through a case study and takes into account the effects of the Brazilian tariff structure, the local climatic conditions and the load curve profile of the consumer unit in question. The results have shown that, with the adoption of the blue tariff modality and using the optimized parameters, it is possible to reduce electricity costs in the analysed period by 12.68%. It is concluded that in order to obtain a greater economic benefit from the installation of a grid-connected PV system, one can not only focus on the maximization of energy production, it is necessary to take into account other factors such as the tariff structure, local climatic conditions and load curve.
本文的目的是通过优化有功需求的收缩和光伏板的朝向，对安装并网光伏系统的联邦研究所Goiás - Campus goi nia的电费账单进行降低成本的研究。这项研究是通过个案研究进行的，并考虑到巴西关税结构、当地气候条件和有关消费者单位的负荷曲线的影响。结果表明，采用蓝色电价模式并使用优化参数，可以将分析期间的电力成本降低12.68%。由此得出结论，为了从光伏并网系统的安装中获得更大的经济效益，不能只关注发电量的最大化，还需要考虑电价结构、当地气候条件和负荷曲线等其他因素。
{"title":"Minimization of the electricity bill of Brazilian consumers with PV system through the optimization of contracting demand and the orientation of photovoltaic panels","authors":"A. Martins, Carlos Augusto Guimarães Medeiros, J. L. Domingos, M. Reis, Wesley Calixto Pacheco, Raphael de Aquino Gomes","doi":"10.1109/EEEIC.2019.8783435","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783435","url":null,"abstract":"The objective of this paper is to carry out a study to reduce costs with the electric energy bill of the Federal Institute of Goiás - Campus Goiânia, with grid-connected PV system installed, by optimizing the contracting of active power demand and the orientation of the photovoltaic panels. The study is carried out through a case study and takes into account the effects of the Brazilian tariff structure, the local climatic conditions and the load curve profile of the consumer unit in question. The results have shown that, with the adoption of the blue tariff modality and using the optimized parameters, it is possible to reduce electricity costs in the analysed period by 12.68%. It is concluded that in order to obtain a greater economic benefit from the installation of a grid-connected PV system, one can not only focus on the maximization of energy production, it is necessary to take into account other factors such as the tariff structure, local climatic conditions and load curve.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127923189","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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