Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849098
Mahsa Khorram, P. Faria, Z. Vale
The world is moving toward demand response programs, energy optimization, and using renewable energy resources more than the past. Buildings are responsible for a significant part of energy consumption and they are considered as suitable cases for reducing energy usage. Therefore, energy management in buildings should be improved. This paper presents a multi-period optimization algorithm with the aim of reducing power consumption of the lights and maintain user comfort. For this purpose, several comfort constraints are considered, and several parameters are defined. The case study of the paper uses real data monitored by an implemented automation infrastructure in a building. Four scenarios are presented to validate the impacts of proposed algorithm. Each scenario surveys different aspects of user comfort constraint and the obtained results illustrate the performance of algorithm.
{"title":"Optimizing Lighting in an Office for Demand Response Participation Considering User Preferences","authors":"Mahsa Khorram, P. Faria, Z. Vale","doi":"10.1109/SEST.2019.8849098","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849098","url":null,"abstract":"The world is moving toward demand response programs, energy optimization, and using renewable energy resources more than the past. Buildings are responsible for a significant part of energy consumption and they are considered as suitable cases for reducing energy usage. Therefore, energy management in buildings should be improved. This paper presents a multi-period optimization algorithm with the aim of reducing power consumption of the lights and maintain user comfort. For this purpose, several comfort constraints are considered, and several parameters are defined. The case study of the paper uses real data monitored by an implemented automation infrastructure in a building. Four scenarios are presented to validate the impacts of proposed algorithm. Each scenario surveys different aspects of user comfort constraint and the obtained results illustrate the performance of algorithm.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133215993","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849057
A. Gonzalez-Castellanos, David Pozo, A. Bischi
The need for secure and flexible operation of distribution power systems with renewable generation and the decline in battery prices have made energy storage projects a viable option. The storage characterization currently utilized for power system models relies on two significant assumptions: the storage efficiency and power limits are constant. This approach can lead to an overestimation of the available battery power and energy, thus, threatening the system reliability. We introduce a stochastic operating model for distribution systems with non-ideal energy storage, that allows the purchasing of energy and reserves from the electricity market through the interconnection with the transmission system. The model's objective is the centralized minimization of the operational costs derived from the energy and reserves purchase at the electricity market, as well as those incurred while operating the system's fuel-based and renewable generation, and energy storage system. The proposed energy storage model is computationally validated and compared on a modified IEEE 33-bus electric distribution system.
{"title":"Stochastic Unit Commitment of a Distribution Network with Non-ideal Energy Storage","authors":"A. Gonzalez-Castellanos, David Pozo, A. Bischi","doi":"10.1109/SEST.2019.8849057","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849057","url":null,"abstract":"The need for secure and flexible operation of distribution power systems with renewable generation and the decline in battery prices have made energy storage projects a viable option. The storage characterization currently utilized for power system models relies on two significant assumptions: the storage efficiency and power limits are constant. This approach can lead to an overestimation of the available battery power and energy, thus, threatening the system reliability. We introduce a stochastic operating model for distribution systems with non-ideal energy storage, that allows the purchasing of energy and reserves from the electricity market through the interconnection with the transmission system. The model's objective is the centralized minimization of the operational costs derived from the energy and reserves purchase at the electricity market, as well as those incurred while operating the system's fuel-based and renewable generation, and energy storage system. The proposed energy storage model is computationally validated and compared on a modified IEEE 33-bus electric distribution system.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128516387","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849130
M. Ndawula, Antonio De Paola, I. Hernando‐Gil
This paper introduces the critical need to report reliability performance metrics by distinguishing between different customer-groups, load demand and network types, within very large service areas managed by distribution network operators. Based on various factors, power distribution systems supplying residential demand are categorised in this study into rural, suburban and urban networks. An enhanced time-sequential Monte Carlo simulation procedure is used to carry out reliability assessment for each subsector, enabling disaggregation of reliability indices typically reported for the whole supplied system. Realistic distribution network modelling is achieved by the addition of smart grid technologies such as photovoltaic energy, demand side response and energy storage, to assess their impacts in different networks. Finally, both system and customer-oriented indices, measuring the frequency and duration of interruptions, as well as energy not supplied, are evaluated for a comprehensive analysis.
{"title":"Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks","authors":"M. Ndawula, Antonio De Paola, I. Hernando‐Gil","doi":"10.1109/SEST.2019.8849130","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849130","url":null,"abstract":"This paper introduces the critical need to report reliability performance metrics by distinguishing between different customer-groups, load demand and network types, within very large service areas managed by distribution network operators. Based on various factors, power distribution systems supplying residential demand are categorised in this study into rural, suburban and urban networks. An enhanced time-sequential Monte Carlo simulation procedure is used to carry out reliability assessment for each subsector, enabling disaggregation of reliability indices typically reported for the whole supplied system. Realistic distribution network modelling is achieved by the addition of smart grid technologies such as photovoltaic energy, demand side response and energy storage, to assess their impacts in different networks. Finally, both system and customer-oriented indices, measuring the frequency and duration of interruptions, as well as energy not supplied, are evaluated for a comprehensive analysis.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115833096","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849080
J. Baptista
Nowadays, the power quality has become not only an important competitive factor for industrial users but also a crucial factor in the energy efficiency of the facilities. Seen paradoxically, the increase we have seen in the energy efficiency of the electrical loads, leads to the intensive use of power electronics resulting in a very high injection of harmonics in the distribution networks, thus causing a lack in the power quality leading a significant voltage waveform deformation. An electrical network containing a high harmonic content is synonymous of a low-level quality of the distributed energy, resulting in an increase of losses and low power factors, decreasing the energy efficiency of the installations. This paper presents a model that allows predicting the harmonic content present in an electrical installation, depending on the type of loads. Hence, it will be possible to know several qualitative parameters such as the voltage and current total harmonic distortion (THD), which will help to predict and size the mitigation measures to improve the power quality and energy efficiency of the facilities.
{"title":"A field measurements model for harmonic distortion estimation in low voltage systems","authors":"J. Baptista","doi":"10.1109/SEST.2019.8849080","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849080","url":null,"abstract":"Nowadays, the power quality has become not only an important competitive factor for industrial users but also a crucial factor in the energy efficiency of the facilities. Seen paradoxically, the increase we have seen in the energy efficiency of the electrical loads, leads to the intensive use of power electronics resulting in a very high injection of harmonics in the distribution networks, thus causing a lack in the power quality leading a significant voltage waveform deformation. An electrical network containing a high harmonic content is synonymous of a low-level quality of the distributed energy, resulting in an increase of losses and low power factors, decreasing the energy efficiency of the installations. This paper presents a model that allows predicting the harmonic content present in an electrical installation, depending on the type of loads. Hence, it will be possible to know several qualitative parameters such as the voltage and current total harmonic distortion (THD), which will help to predict and size the mitigation measures to improve the power quality and energy efficiency of the facilities.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115705311","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 : 2019-09-01DOI: 10.1109/sest.2019.8849102
{"title":"[Front matter]","authors":"","doi":"10.1109/sest.2019.8849102","DOIUrl":"https://doi.org/10.1109/sest.2019.8849102","url":null,"abstract":"","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114426405","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849066
M. Ghazvini, D. Steen, L. Tuan
This paper proposes a framework for energy management in modern smart buildings under the context of integrated energy systems. The added value of this work is using the rolling time window framework for decision-making, along with the inclusion of the peak load tariffs. The rolling time window is used to send updated control commands near to real-time. A Swedish multi-family residential building is used in the case study. The results of the case study verify the effectiveness and the validity of the proposed model. The results show that by integrating the electricity and the district heating network with a 11 kW heat pump, the total energy cost reduces around 27%.
{"title":"A Centralized Building Energy Management System for Residential Energy Hubs","authors":"M. Ghazvini, D. Steen, L. Tuan","doi":"10.1109/SEST.2019.8849066","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849066","url":null,"abstract":"This paper proposes a framework for energy management in modern smart buildings under the context of integrated energy systems. The added value of this work is using the rolling time window framework for decision-making, along with the inclusion of the peak load tariffs. The rolling time window is used to send updated control commands near to real-time. A Swedish multi-family residential building is used in the case study. The results of the case study verify the effectiveness and the validity of the proposed model. The results show that by integrating the electricity and the district heating network with a 11 kW heat pump, the total energy cost reduces around 27%.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114828065","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849092
A. Fill, K. Birke
In order to meet the energy and power requirements of large-scale battery applications, cells have to be connected in serial and parallel configuration. For the purpose of understanding the assembly of parallel-connected cells is referred to as logical cell. Caused by current and State of Charge (SoC) inhomogeneities between the serial and parallel cells, the usable power and energy will differ from the installed values. These differences are affected by the cell topology, cell parameter distributions and the current profile. The influences of these parameters are investigated by Monte Carlo simulations with Gaussian distributed cell parameters. The $5sigma$ values of the usable power decrease almost logarithmically with increasing number of serial and parallel cells. The power is primarily limited by the logical cell with the highest current distribution, which in turn depends principally on the differences in cell parameters. In a battery the maximum difference of cell parameters statistically increase with the number of connected cells. Two further effects influence the usable energy. The Open Circuit Voltage (OCV) bending leads to a SoC balancing at the end of discharge. And the standard deviation of the logical cell capacity distribution decreases by square root with increasing number of parallel cells. These effetcs are leading to a higher usable energy by connecting the cells in parallel compared to a corresponding serial-connection, especially for discharging. Furthermore with increasing standard deviation of the cells resistance and capacity distributions a linear decrease of the usable power and energy is found.
{"title":"Impacts of cell topology, parameter distributions and current profile on the usable power and energy of lithium-ion batteries","authors":"A. Fill, K. Birke","doi":"10.1109/SEST.2019.8849092","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849092","url":null,"abstract":"In order to meet the energy and power requirements of large-scale battery applications, cells have to be connected in serial and parallel configuration. For the purpose of understanding the assembly of parallel-connected cells is referred to as logical cell. Caused by current and State of Charge (SoC) inhomogeneities between the serial and parallel cells, the usable power and energy will differ from the installed values. These differences are affected by the cell topology, cell parameter distributions and the current profile. The influences of these parameters are investigated by Monte Carlo simulations with Gaussian distributed cell parameters. The $5sigma$ values of the usable power decrease almost logarithmically with increasing number of serial and parallel cells. The power is primarily limited by the logical cell with the highest current distribution, which in turn depends principally on the differences in cell parameters. In a battery the maximum difference of cell parameters statistically increase with the number of connected cells. Two further effects influence the usable energy. The Open Circuit Voltage (OCV) bending leads to a SoC balancing at the end of discharge. And the standard deviation of the logical cell capacity distribution decreases by square root with increasing number of parallel cells. These effetcs are leading to a higher usable energy by connecting the cells in parallel compared to a corresponding serial-connection, especially for discharging. Furthermore with increasing standard deviation of the cells resistance and capacity distributions a linear decrease of the usable power and energy is found.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127377784","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849070
A. O. Rousis, Patompong Boonsiri, G. Strbac
Given that MGs have started becoming common in industrial and commercial facilities close to cities, it would make sense to utilize their control capabilities for increased grid services. Within this context, this paper investigates the hypothesis relating to the technical capability of urban microgrids for provision of voltage management services to their local distribution network. A detailed AC OPF, capturing the classical power flow equations, is utilized to assess the operation of an urban microgrid connected to a distribution network. The primary objective of the developed model is to minimize the operational cost of the overall system, while ensuring the voltage profiles across the network are smoothed out. A modified IEEE 14-bus system has been utilized to resemble a distribution system connected to a single microgrid. The results indicate redistribution of power flows that result in significant reduction of voltage deviation and power losses, as well as non-negligible decrease in the operating cost.
{"title":"Utilization of an Urban AC Microgrid for Improving Voltages Across a Distribution System","authors":"A. O. Rousis, Patompong Boonsiri, G. Strbac","doi":"10.1109/SEST.2019.8849070","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849070","url":null,"abstract":"Given that MGs have started becoming common in industrial and commercial facilities close to cities, it would make sense to utilize their control capabilities for increased grid services. Within this context, this paper investigates the hypothesis relating to the technical capability of urban microgrids for provision of voltage management services to their local distribution network. A detailed AC OPF, capturing the classical power flow equations, is utilized to assess the operation of an urban microgrid connected to a distribution network. The primary objective of the developed model is to minimize the operational cost of the overall system, while ensuring the voltage profiles across the network are smoothed out. A modified IEEE 14-bus system has been utilized to resemble a distribution system connected to a single microgrid. The results indicate redistribution of power flows that result in significant reduction of voltage deviation and power losses, as well as non-negligible decrease in the operating cost.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126005119","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849124
P. Gonçalves, S. Cruz, A. Mendes
This paper presents an innovative predictive current control (PCC) strategy based on virtual voltage vectors with optimal amplitude and phase for six-phase asymmetrical permanent magnet synchronous machines (PMSMs) with isolated neutrals. This strategy combines two virtual vectors and two zero vectors over a sampling period in order to reduce the torque ripple and enhance the tracking of references in the fundamental subspace, which are responsible for the production of flux and torque. Several simulation results are provided in order to compare the performance of the six-phase PMSM drive under the proposed control strategy with other finite control set model predictive control strategies available in the literature.
{"title":"Predictive Current Control of Six-Phase Permanent Magnet Synchronous Machines Based on Virtual Vectors with Optimal Amplitude and Phase","authors":"P. Gonçalves, S. Cruz, A. Mendes","doi":"10.1109/SEST.2019.8849124","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849124","url":null,"abstract":"This paper presents an innovative predictive current control (PCC) strategy based on virtual voltage vectors with optimal amplitude and phase for six-phase asymmetrical permanent magnet synchronous machines (PMSMs) with isolated neutrals. This strategy combines two virtual vectors and two zero vectors over a sampling period in order to reduce the torque ripple and enhance the tracking of references in the fundamental subspace, which are responsible for the production of flux and torque. Several simulation results are provided in order to compare the performance of the six-phase PMSM drive under the proposed control strategy with other finite control set model predictive control strategies available in the literature.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"GE-21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126566652","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849112
Tiago M. Serrano, L. C. P. da Silva, Leandro Pereira, Feliphe Andreoli, Tuo Ji, F. Fruett
Energy efficiency is being considered an important aspect even for home users. In order to save energy and reduce costs, it is equally important to understand user habits regarding their energy usage and home appliances electrical characteristics. However, most of the smart home devices focus on automation and does not provide the necessary electrical data to better plan regarding energy efficiency. In contrast to on-the-shelf devices, this article presents a low-cost Smart Plug that embeds advanced energy metering features. Measured electrical parameters are easily available locally and remotely and provide full information about attached appliances. By “labeling” connected appliances and AC power characteristics, researchers and developers are able to develop load monitoring research that improve users knowledge about their energy usage. Thus, the developed Smart Plug becomes an essential tool for researchers to better understand appliances in a context of distributed generation and nonlinear loads, as well as provides end user information about energy usage while implements affordable home automation features.
{"title":"A Low-cost Smart Plug with Power Quality and Energy Analyzer Features","authors":"Tiago M. Serrano, L. C. P. da Silva, Leandro Pereira, Feliphe Andreoli, Tuo Ji, F. Fruett","doi":"10.1109/SEST.2019.8849112","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849112","url":null,"abstract":"Energy efficiency is being considered an important aspect even for home users. In order to save energy and reduce costs, it is equally important to understand user habits regarding their energy usage and home appliances electrical characteristics. However, most of the smart home devices focus on automation and does not provide the necessary electrical data to better plan regarding energy efficiency. In contrast to on-the-shelf devices, this article presents a low-cost Smart Plug that embeds advanced energy metering features. Measured electrical parameters are easily available locally and remotely and provide full information about attached appliances. By “labeling” connected appliances and AC power characteristics, researchers and developers are able to develop load monitoring research that improve users knowledge about their energy usage. Thus, the developed Smart Plug becomes an essential tool for researchers to better understand appliances in a context of distributed generation and nonlinear loads, as well as provides end user information about energy usage while implements affordable home automation features.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125490247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：