Pub Date : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543011
D. Šošić, T. Rajić, P. Stefanov, B. Stojanović
Distribution network reconfiguration is a process that changes the status of switching equipment to achieve better working conditions of the distribution network. Performance improvement can be considered over a longer or shorter time horizon. One of the most common goals of this problem is a reduction of active power losses. The problem of distribution network reconfiguration in this paper will be solved by applying the method of open branches moving register. The main idea is to gradually close normally open branches, whereby it is necessary to open one normally closed branch from the formed loop to preserve the radial structure of the network. Due to the wear of the switchgear and its limited service life, it is not desirable to change the network configuration for each observed time horizon, so here will be considered monthly and quarterly reconfiguration. This paper will consider achieving the most economical distribution network configuration at some time interval.
{"title":"Distribution network reconfiguration using the open switch moving register method","authors":"D. Šošić, T. Rajić, P. Stefanov, B. Stojanović","doi":"10.1109/ISGTLatinAmerica52371.2021.9543011","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543011","url":null,"abstract":"Distribution network reconfiguration is a process that changes the status of switching equipment to achieve better working conditions of the distribution network. Performance improvement can be considered over a longer or shorter time horizon. One of the most common goals of this problem is a reduction of active power losses. The problem of distribution network reconfiguration in this paper will be solved by applying the method of open branches moving register. The main idea is to gradually close normally open branches, whereby it is necessary to open one normally closed branch from the formed loop to preserve the radial structure of the network. Due to the wear of the switchgear and its limited service life, it is not desirable to change the network configuration for each observed time horizon, so here will be considered monthly and quarterly reconfiguration. This paper will consider achieving the most economical distribution network configuration at some time interval.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115239767","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543010
S. Zambrano-Asanza, Diego J. Cando, Freddy H. Chuqui, Juan Sanango, J. Franco
Planning the expansion and the new topology of distribution networks requires knowing the location and characterization of the load as well as its future growth. Spatial load forecasting is a key tool in this task, providing high spatial resolution and adequate temporal granularity. Nowadays, with the penetration of distributed energy resources, multiple microgrid connection strategies, and implementation of self-healing and protection schemes, it is necessary to identify load blocks to plan the new active network architecture. Based on spatial load forecasting information, this paper proposes a graph partitioning technique to create load clusters in the distribution feeders. A weighted graph is constructed by means of a minimum spanning tree that allows to consider adjacency relations. The results of the simulation, carried out in a real distribution network, have demonstrated the effectiveness of the proposed method.
{"title":"Graph Partitioning-Based Clustering for the Planning of Distribution Network Topology using Spatial- Temporal Load Forecasting","authors":"S. Zambrano-Asanza, Diego J. Cando, Freddy H. Chuqui, Juan Sanango, J. Franco","doi":"10.1109/ISGTLatinAmerica52371.2021.9543010","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543010","url":null,"abstract":"Planning the expansion and the new topology of distribution networks requires knowing the location and characterization of the load as well as its future growth. Spatial load forecasting is a key tool in this task, providing high spatial resolution and adequate temporal granularity. Nowadays, with the penetration of distributed energy resources, multiple microgrid connection strategies, and implementation of self-healing and protection schemes, it is necessary to identify load blocks to plan the new active network architecture. Based on spatial load forecasting information, this paper proposes a graph partitioning technique to create load clusters in the distribution feeders. A weighted graph is constructed by means of a minimum spanning tree that allows to consider adjacency relations. The results of the simulation, carried out in a real distribution network, have demonstrated the effectiveness of the proposed method.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117078375","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543035
A. C. de Campos, R. S. Pinto, Mauro O. de Lara Filho, C. Unsihuay-Vila
Distribution networks typically have unbalanced loads; however, most works on Active Distribution Networks (ADNs) use single-phase representations. This paper proposes a linear alternate current (AC) three-phase optimal power flow (OPF) for a day-ahead operation planning of ADNs and microgrids. The proposed AC linear three-phase optimal power flow model is based on polar coordinate systems and considering some consistent approximations for linearization of power flow equations. The shunts admittances of the network and the mutual impedances between phases of the three-phase lines are considered in the model. In this paper, the proposed linear AC three-phase OPF model is used to define the optimal day-ahead operation planning of active distribution systems and microgrids with three-phase feeders and three-phase distributed generators (DG) and energy storage (ES). Since this model proposes a three-phase representation of the system, it provides more accurate results, making it an effective tool for optimal planning of the ADN operation. The proposed model is illustrated using the IEEE 34-bus test system and results show its effectiveness and excellent performance, presenting an error of less than 4% for the voltage magnitude of the buses and less than 2% for the apparent power flow of the lines, when compared with non-linear models.
{"title":"A Linear AC Three-Phase Optimal Power Flow Model for Active Distribution Networks and Microgrids","authors":"A. C. de Campos, R. S. Pinto, Mauro O. de Lara Filho, C. Unsihuay-Vila","doi":"10.1109/ISGTLatinAmerica52371.2021.9543035","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543035","url":null,"abstract":"Distribution networks typically have unbalanced loads; however, most works on Active Distribution Networks (ADNs) use single-phase representations. This paper proposes a linear alternate current (AC) three-phase optimal power flow (OPF) for a day-ahead operation planning of ADNs and microgrids. The proposed AC linear three-phase optimal power flow model is based on polar coordinate systems and considering some consistent approximations for linearization of power flow equations. The shunts admittances of the network and the mutual impedances between phases of the three-phase lines are considered in the model. In this paper, the proposed linear AC three-phase OPF model is used to define the optimal day-ahead operation planning of active distribution systems and microgrids with three-phase feeders and three-phase distributed generators (DG) and energy storage (ES). Since this model proposes a three-phase representation of the system, it provides more accurate results, making it an effective tool for optimal planning of the ADN operation. The proposed model is illustrated using the IEEE 34-bus test system and results show its effectiveness and excellent performance, presenting an error of less than 4% for the voltage magnitude of the buses and less than 2% for the apparent power flow of the lines, when compared with non-linear models.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124090749","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543008
M. Saltos-Rodríguez, M. Aguirre-Velasco, A. Velásquez-Lozano, D. Ortiz-Villalba, A. Villamarín-Jácome
Distribution systems infrastructure is exposed continuously to a range of high-impact low-probability (HILP) events, such as natural hazards. Due to the increased frequency of these extreme events, the resilience of the power distribution system (PDS) is becoming critical. In this paper, a novel methodology is proposed for the optimal planning of distributed generation (DG) to enhance the resilience of PDS against the impact of lahars, which can occur following a volcanic eruption. The concept of vulnerability curves is introduced to determine the unavailability of the elements system. The proposed methodology includes a stochastic optimization problem (SOP) and Monte Carlo simulation method (MCS) to consider two uncertainties levels: the speed and density of lahars. Our proposal is applied to the IEEE 37-node test feeder. The results demonstrate that the average energy not supplied (ENS) during the restoration time obtained from the simulated scenarios is 1.37 MWh for the actual PDS and 1.02 MWh when optimal planning of DG is applied.
{"title":"Distributed Generation for Resilience Enhancement on Power Distribution System Against Lahars Occurrence After a Volcanic Eruption","authors":"M. Saltos-Rodríguez, M. Aguirre-Velasco, A. Velásquez-Lozano, D. Ortiz-Villalba, A. Villamarín-Jácome","doi":"10.1109/ISGTLatinAmerica52371.2021.9543008","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543008","url":null,"abstract":"Distribution systems infrastructure is exposed continuously to a range of high-impact low-probability (HILP) events, such as natural hazards. Due to the increased frequency of these extreme events, the resilience of the power distribution system (PDS) is becoming critical. In this paper, a novel methodology is proposed for the optimal planning of distributed generation (DG) to enhance the resilience of PDS against the impact of lahars, which can occur following a volcanic eruption. The concept of vulnerability curves is introduced to determine the unavailability of the elements system. The proposed methodology includes a stochastic optimization problem (SOP) and Monte Carlo simulation method (MCS) to consider two uncertainties levels: the speed and density of lahars. Our proposal is applied to the IEEE 37-node test feeder. The results demonstrate that the average energy not supplied (ENS) during the restoration time obtained from the simulated scenarios is 1.37 MWh for the actual PDS and 1.02 MWh when optimal planning of DG is applied.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114887716","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543071
D. N. Araújo, Aleff P. V. G. Araújo, Andrea S. M. Vasconcelos, J. F. C. Castro, W. D. A. S. Junior, L. D. de Medeiros, J. B. R. Da Conceição, Tuo Ji
Smart charging associating the synergy benefits of Photovoltaics (PV) systems and Battery Energy Storage Systems (BESS) can be used to minimize the negative impacts of Electric Vehicles (EVs) on the power distribution system. However, Electric Vehicle Charging Stations (EVCS) based on PV-BESS are more complex, and several topics must be analyzed, such as size and management. Concerning the sizing perspective, the present paper aims to provide an option to Brazilian charging infrastructure thought of an on-grid PV-BESS for fast EVCS. The proposed system comprises a modular solution that increases the PV power installed according to the previous load demand between 2020 and 2030. The power grid impact will be presented by comparing the required PV power installed to the consumed power from the grid by the charging station. The Homer Grid software is used to model, simulate, and optimize the EVCS.
{"title":"Optimum Design of On-Grid PV-BESS for Fast Electric Vehicle Charging Station in Brazil","authors":"D. N. Araújo, Aleff P. V. G. Araújo, Andrea S. M. Vasconcelos, J. F. C. Castro, W. D. A. S. Junior, L. D. de Medeiros, J. B. R. Da Conceição, Tuo Ji","doi":"10.1109/ISGTLatinAmerica52371.2021.9543071","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543071","url":null,"abstract":"Smart charging associating the synergy benefits of Photovoltaics (PV) systems and Battery Energy Storage Systems (BESS) can be used to minimize the negative impacts of Electric Vehicles (EVs) on the power distribution system. However, Electric Vehicle Charging Stations (EVCS) based on PV-BESS are more complex, and several topics must be analyzed, such as size and management. Concerning the sizing perspective, the present paper aims to provide an option to Brazilian charging infrastructure thought of an on-grid PV-BESS for fast EVCS. The proposed system comprises a modular solution that increases the PV power installed according to the previous load demand between 2020 and 2030. The power grid impact will be presented by comparing the required PV power installed to the consumed power from the grid by the charging station. The Homer Grid software is used to model, simulate, and optimize the EVCS.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116603147","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543007
P.H.N. Vasconcelos, A. D. De Souza, B. Venkatesh, G. Taranto
A methodology for the upgrade of active power distribution networks focused on reducing costs associated with customer interruptions and increasing the overall system reliability is presented. This problem has been addressed in the literature considering interventions on the system to improve performance in different aspects during the operation, such as reducing energy losses and operation costs. In general, optimization algorithms are employed to solve the problems of allocating sectionalizing devices and routing new distribution line segments. Thus, heuristic approaches - such as the Particle Swarm Optimization (PSO) algorithm, can be implemented. The proposed method also considers the annualized costs of the planning interventions, considering the expected useful lifetime of the to-be installed distribution devices. Moreover, a Monte Carlo simulation-based approach is combined with a Binary PSO (BPSO) algorithm, so multiple planning problems with binary decision variables can be considered concurrently. During simulations, the robustness of the model outcomes is tested by varying the system operative conditions. Two factors are considered to generate different scenarios: the external weather conditions and the loading level of the system. The IEEE Comprehensive Test Feeder is used to run simulations, with some modifications to make it active.
{"title":"A Simulation-Based Approach for the Planning of Radial Distribution Networks to Improve the Overall Performance and Reliability","authors":"P.H.N. Vasconcelos, A. D. De Souza, B. Venkatesh, G. Taranto","doi":"10.1109/ISGTLatinAmerica52371.2021.9543007","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543007","url":null,"abstract":"A methodology for the upgrade of active power distribution networks focused on reducing costs associated with customer interruptions and increasing the overall system reliability is presented. This problem has been addressed in the literature considering interventions on the system to improve performance in different aspects during the operation, such as reducing energy losses and operation costs. In general, optimization algorithms are employed to solve the problems of allocating sectionalizing devices and routing new distribution line segments. Thus, heuristic approaches - such as the Particle Swarm Optimization (PSO) algorithm, can be implemented. The proposed method also considers the annualized costs of the planning interventions, considering the expected useful lifetime of the to-be installed distribution devices. Moreover, a Monte Carlo simulation-based approach is combined with a Binary PSO (BPSO) algorithm, so multiple planning problems with binary decision variables can be considered concurrently. During simulations, the robustness of the model outcomes is tested by varying the system operative conditions. Two factors are considered to generate different scenarios: the external weather conditions and the loading level of the system. The IEEE Comprehensive Test Feeder is used to run simulations, with some modifications to make it active.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128600466","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543032
Pablo Massaferro, J. Matias Di Martino, Alicia Fernández
Countermeasures to Non- Techincal Losses (NTL) are primarily motivated by the high economic losses they represent. Most solutions focus on detecting suspicious behavior, aiming at identifying fraudulent activities in a data-driven and automated fashion. The direct economic impact associated with these solutions is commonly overlooked. In this work, we focus on the economic impact related to an NTL solution, where the list of customers to be inspected and the inspection routes are optimized. The clients to be examined are selected considering estimates of the fraud probability, the estimated magnitude of the fraud, and the costs associated with a particular inspection route. The mathematical formulation of the optimization problem leverages existing techniques developed in the context of a problem known as “the salesman problem.” We validate our approach in real-world data obtained after inspecting over 168k (fraudulent and typical) customers in Uruguay, South America. The results show the relevance of taking routing costs into account and indicate that the economic harm of NTL can be reduced by 76%.
{"title":"NTL Detection: Optimization of Inspection Routes Weighing Mobility Cost and Detection Likelihood","authors":"Pablo Massaferro, J. Matias Di Martino, Alicia Fernández","doi":"10.1109/ISGTLatinAmerica52371.2021.9543032","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543032","url":null,"abstract":"Countermeasures to Non- Techincal Losses (NTL) are primarily motivated by the high economic losses they represent. Most solutions focus on detecting suspicious behavior, aiming at identifying fraudulent activities in a data-driven and automated fashion. The direct economic impact associated with these solutions is commonly overlooked. In this work, we focus on the economic impact related to an NTL solution, where the list of customers to be inspected and the inspection routes are optimized. The clients to be examined are selected considering estimates of the fraud probability, the estimated magnitude of the fraud, and the costs associated with a particular inspection route. The mathematical formulation of the optimization problem leverages existing techniques developed in the context of a problem known as “the salesman problem.” We validate our approach in real-world data obtained after inspecting over 168k (fraudulent and typical) customers in Uruguay, South America. The results show the relevance of taking routing costs into account and indicate that the economic harm of NTL can be reduced by 76%.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128801508","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543015
L. Santos, Jéssica Alice A. Silva, J. López, N. B. Arias, M. J. Rider, L. D. da Silva
This paper presents a methodology for sizing and operating microgrids using an energy management system (EMS) strategy embedded in the software HOMER Pro. The proposed EMS-based strategy, represented by a mixed-integer linear model, determines the optimal day-ahead operation of a grid-connected microgrid, which considers photovoltaic generation, battery storage system, and energy purchases and sales from/to the grid while minimizing the total operational costs. The integration of the optimal EMS-based dispatch strategy to HOMER Pro is done through the AMPL API for Matlab and the Matlab Link module. The proposed methodology was tested using real data from the CampusGrid microgrid that will be deployed at the UNICAMP campus. Results show that the proposed strategy presents economical advantages over the default dispatch strategies provided by HOMER.
{"title":"Integrated Optimal Sizing and Dispatch Strategy for Microgrids Using HOMER Pro","authors":"L. Santos, Jéssica Alice A. Silva, J. López, N. B. Arias, M. J. Rider, L. D. da Silva","doi":"10.1109/ISGTLatinAmerica52371.2021.9543015","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543015","url":null,"abstract":"This paper presents a methodology for sizing and operating microgrids using an energy management system (EMS) strategy embedded in the software HOMER Pro. The proposed EMS-based strategy, represented by a mixed-integer linear model, determines the optimal day-ahead operation of a grid-connected microgrid, which considers photovoltaic generation, battery storage system, and energy purchases and sales from/to the grid while minimizing the total operational costs. The integration of the optimal EMS-based dispatch strategy to HOMER Pro is done through the AMPL API for Matlab and the Matlab Link module. The proposed methodology was tested using real data from the CampusGrid microgrid that will be deployed at the UNICAMP campus. Results show that the proposed strategy presents economical advantages over the default dispatch strategies provided by HOMER.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115725963","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543004
Matheus Dantas De Lucena, Allan David da Costa Silva, Núbia Silva Dantas Brito
A method to determine the optimal installation locations for photovoltaic generators is proposed, in order to reduce the daily energy losses in an electricity distribution system. The methodology consists of using the tabu search method, programmed in Matlab®, together with OpenDSS to solve a combinatorial optimization problem. The effectiveness of the method was evaluated from the application in the IEEE 123-bus test system, which is unbalanced, with different voltage levels and variable loads associated with the load curve of a real feeder. Some adaptations were included in order to better observe and discuss the results obtained. The installation of the generators, determined by the Tabu Search, resulted in the improvement of the voltage profile of the system, as well as, in the reduction of energy losses. Finally. a financial viability study was carried out.
{"title":"Tabu Search Method for Optimum Installation of Generators in an Unbalanced System","authors":"Matheus Dantas De Lucena, Allan David da Costa Silva, Núbia Silva Dantas Brito","doi":"10.1109/ISGTLatinAmerica52371.2021.9543004","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543004","url":null,"abstract":"A method to determine the optimal installation locations for photovoltaic generators is proposed, in order to reduce the daily energy losses in an electricity distribution system. The methodology consists of using the tabu search method, programmed in Matlab®, together with OpenDSS to solve a combinatorial optimization problem. The effectiveness of the method was evaluated from the application in the IEEE 123-bus test system, which is unbalanced, with different voltage levels and variable loads associated with the load curve of a real feeder. Some adaptations were included in order to better observe and discuss the results obtained. The installation of the generators, determined by the Tabu Search, resulted in the improvement of the voltage profile of the system, as well as, in the reduction of energy losses. Finally. a financial viability study was carried out.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116148795","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543020
Jéssica Freitas, Roberto Dias, Carlos Diniz, Manoel H. N. Marinho, Paulo Gama, G. Rissi, Fu Li, Tuo Ji
This paper presents the technologies typically used in advanced metering infrastructures of smart electricity metering systems in smart grids scenarios, as well the key points of their deployment in Europe and USA, including the regulatory aspects and policies associated. The research shows the technologies most applied in smart meter roll-out programs and, therefore, in smart electricity metering systems, between HAN households and electricity companies. The work also exposes the distinctions of the realities of the policies for the deployment of smart metering systems in Europen Union and the USA. In its development, the work serves as a source of reference that aggregates both the technical and regulatory aspects of smart electricity metering systems and in a straightforward manner, it also fits for decision-makers researchers in the areas of regulation and policy of electricity supply.
{"title":"Smart electricity metering systems for smart grids: technologies, choices, and deployment experiences","authors":"Jéssica Freitas, Roberto Dias, Carlos Diniz, Manoel H. N. Marinho, Paulo Gama, G. Rissi, Fu Li, Tuo Ji","doi":"10.1109/ISGTLatinAmerica52371.2021.9543020","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543020","url":null,"abstract":"This paper presents the technologies typically used in advanced metering infrastructures of smart electricity metering systems in smart grids scenarios, as well the key points of their deployment in Europe and USA, including the regulatory aspects and policies associated. The research shows the technologies most applied in smart meter roll-out programs and, therefore, in smart electricity metering systems, between HAN households and electricity companies. The work also exposes the distinctions of the realities of the policies for the deployment of smart metering systems in Europen Union and the USA. In its development, the work serves as a source of reference that aggregates both the technical and regulatory aspects of smart electricity metering systems and in a straightforward manner, it also fits for decision-makers researchers in the areas of regulation and policy of electricity supply.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127155539","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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