Pub Date : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465627
Keshav Pokharel, M. Mokhtar, J. Howe
This paper presents an evolutionary algorithm for analyzing the best mix of distributed generations (DG) in a distribution network. The multi-objective optimization aims at minimizing the total cost of real power generation, line losses and CO2 emissions, and maximizing the benefits from the DG over a 20 years planning horizon. The method assesses the fault current constraint imposed on the distribution network by the existing and new DG in order not to violate the short circuit capacity of existing switchgear. The analysis utilizes one of the highly regarded evolutionary algorithm, the Strength Pareto Evolutionary Algorithm 2 (SPEA2) for multi-objective optimization and MATPOWER for solving the optimal power flow problems.
{"title":"A multi-objective planning framework for optimal integration of distributed generations","authors":"Keshav Pokharel, M. Mokhtar, J. Howe","doi":"10.1109/ISGTEurope.2012.6465627","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465627","url":null,"abstract":"This paper presents an evolutionary algorithm for analyzing the best mix of distributed generations (DG) in a distribution network. The multi-objective optimization aims at minimizing the total cost of real power generation, line losses and CO2 emissions, and maximizing the benefits from the DG over a 20 years planning horizon. The method assesses the fault current constraint imposed on the distribution network by the existing and new DG in order not to violate the short circuit capacity of existing switchgear. The analysis utilizes one of the highly regarded evolutionary algorithm, the Strength Pareto Evolutionary Algorithm 2 (SPEA2) for multi-objective optimization and MATPOWER for solving the optimal power flow problems.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115965567","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 : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465698
N. Okada, M. Takasaki, Kazuyuki Tanaka
Voltage measurement data are obtained from sectionalizing switches with sensors that introduced for distribution automation. In future active distribution network, it will be very important to detect bad data that deteriorate measurement accuracy to utilize the data and for appropriate maintenance. State estimation using the measured data of distribution feeders has been studied. However, the bad data detection method has been mainly discussed for transmission networks. A known method for detecting bad data based on the weighted least square method is tested for voltage distribution estimation of feeder assuming that customer demand profile can be approximated by the normal distribution. Voltage distribution with smaller error can be obtained by discarding the bad data that are detected by the proposed method.
{"title":"A case study of bad data detection for distribution feeder voltage measurement","authors":"N. Okada, M. Takasaki, Kazuyuki Tanaka","doi":"10.1109/ISGTEurope.2012.6465698","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465698","url":null,"abstract":"Voltage measurement data are obtained from sectionalizing switches with sensors that introduced for distribution automation. In future active distribution network, it will be very important to detect bad data that deteriorate measurement accuracy to utilize the data and for appropriate maintenance. State estimation using the measured data of distribution feeders has been studied. However, the bad data detection method has been mainly discussed for transmission networks. A known method for detecting bad data based on the weighted least square method is tested for voltage distribution estimation of feeder assuming that customer demand profile can be approximated by the normal distribution. Voltage distribution with smaller error can be obtained by discarding the bad data that are detected by the proposed method.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134110295","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 : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465764
N. Moskalenko, C. Wenge, Alexander Pelzer, P. Komarnicki, Z. Styczynski
The efficient use of energy is gaining importance globally. Reducing consumption is only one of the benefits. Economic incentives could be used to shift the energy demand and reduce run times of equipment. The standardized definition of energy management systems describes only a system structure without consideration the algorithms or strategies for system efficiency improvement. In the paper the main structure, concept, and basic control schemes for dynamic energy management system is presented. It takes into account a dynamic usage of renewable energy sources, stationary and mobile storages and controllable loads.
{"title":"Energy management system with dynamic component control for efficiency optimization","authors":"N. Moskalenko, C. Wenge, Alexander Pelzer, P. Komarnicki, Z. Styczynski","doi":"10.1109/ISGTEurope.2012.6465764","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465764","url":null,"abstract":"The efficient use of energy is gaining importance globally. Reducing consumption is only one of the benefits. Economic incentives could be used to shift the energy demand and reduce run times of equipment. The standardized definition of energy management systems describes only a system structure without consideration the algorithms or strategies for system efficiency improvement. In the paper the main structure, concept, and basic control schemes for dynamic energy management system is presented. It takes into account a dynamic usage of renewable energy sources, stationary and mobile storages and controllable loads.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131790176","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 : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465889
Daniel Freund, A. F. Raab, Tobias Küster, S. Albayrak, K. Strunz
The paper presents an agent-based scheduling and energy management system for a smart distribution feeder which is installed on a test site and includes an electric car sharing fleet. Distributed Energy storage systems provide flexibility in the operation of the test site, where the integration of multiple power sources including Renewable Energy Sources and Distributed Generators is implemented. A software agent control architecture is introduced, which is divided into distinct subsystems in order to consider market roles of the Micro Smart Grid Operator, Car Sharing Operator and Distribution System Operator. Within this architecture, an optimization mechanism with the objective to maximize the utilization of Renewable Energy Sources for charging the electric vehicles is implemented and the functionality of the agent-based system is tested in response to a basic electric vehicle booking and charging scenario.
{"title":"Agent-based integration of an electric car sharing fleet into a smart distribution feeder","authors":"Daniel Freund, A. F. Raab, Tobias Küster, S. Albayrak, K. Strunz","doi":"10.1109/ISGTEurope.2012.6465889","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465889","url":null,"abstract":"The paper presents an agent-based scheduling and energy management system for a smart distribution feeder which is installed on a test site and includes an electric car sharing fleet. Distributed Energy storage systems provide flexibility in the operation of the test site, where the integration of multiple power sources including Renewable Energy Sources and Distributed Generators is implemented. A software agent control architecture is introduced, which is divided into distinct subsystems in order to consider market roles of the Micro Smart Grid Operator, Car Sharing Operator and Distribution System Operator. Within this architecture, an optimization mechanism with the objective to maximize the utilization of Renewable Energy Sources for charging the electric vehicles is implemented and the functionality of the agent-based system is tested in response to a basic electric vehicle booking and charging scenario.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132776421","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 : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465741
L. Korunović, S. Sterpu, S. Djokic, K. Yamashita, S. M. Villanueva, J. Milanović
The paper specifies the most frequently used load models. These load models are presented, discussed and correlated with the corresponding low voltage equipment and devices, as reported in existing literature. Load model parameters are statistically analysed, including dispersion of their values. Additionally, the paper presents analysis of load model parameters used at higher voltage levels, based on the responses of 41 transmission system operators and utilities in Europe, which participated in a survey initiated by CIGRE Working Group C4.605.
{"title":"Processing of load parameters based on Existing Load Models","authors":"L. Korunović, S. Sterpu, S. Djokic, K. Yamashita, S. M. Villanueva, J. Milanović","doi":"10.1109/ISGTEurope.2012.6465741","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465741","url":null,"abstract":"The paper specifies the most frequently used load models. These load models are presented, discussed and correlated with the corresponding low voltage equipment and devices, as reported in existing literature. Load model parameters are statistically analysed, including dispersion of their values. Additionally, the paper presents analysis of load model parameters used at higher voltage levels, based on the responses of 41 transmission system operators and utilities in Europe, which participated in a survey initiated by CIGRE Working Group C4.605.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130957652","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 : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465882
X. Yu, Fei Wang, A. Huang
DC microgrid is getting more and more attention as an effective and efficient solution to integrate different kinds of renewable energy storage and energy resources with DC loads. A typical DC microgrid envisioned for future DC powered residential homes is investigated in this paper, including distributed power management strategy design, plug and play function implementation, communication ports to monitor the system performance. In this power management strategy, each module in the system is in the distributed control and can be plugged and unplugged into the system without affecting the system performance. Furthermore, the communication ports guarantee all modules information can be sent to the control center to monitor the whole system information.
{"title":"Power management strategy for plug and play DC microgrid","authors":"X. Yu, Fei Wang, A. Huang","doi":"10.1109/ISGTEurope.2012.6465882","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465882","url":null,"abstract":"DC microgrid is getting more and more attention as an effective and efficient solution to integrate different kinds of renewable energy storage and energy resources with DC loads. A typical DC microgrid envisioned for future DC powered residential homes is investigated in this paper, including distributed power management strategy design, plug and play function implementation, communication ports to monitor the system performance. In this power management strategy, each module in the system is in the distributed control and can be plugged and unplugged into the system without affecting the system performance. Furthermore, the communication ports guarantee all modules information can be sent to the control center to monitor the whole system information.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132946031","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 : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465843
Miftah Al Karim, M. Chenine, Kun Zhu, L. Nordström
Phasor measurement units can provide high resolution and synchronized power system data, which can be effectively utilized for the implementation of data mining techniques. Data mining, based on pattern recognition algorithms can be of significant help for power system analysis, as high definition data is often complex to comprehend. In this paper three pattern recognition algorithms are applied to perform the data mining tasks. The deployment is carried out firstly for fault data classification, secondly for checking which faults are occurring more frequently and thirdly for identifying the root cause of a fault by clustering the parameters behind each scenario. For such purposes three algorithms are chosen, k-Nearest Neighbor, Naïve Bayes and the k-means Clustering.
{"title":"Synchrophasor-based data mining for power system fault analysis","authors":"Miftah Al Karim, M. Chenine, Kun Zhu, L. Nordström","doi":"10.1109/ISGTEurope.2012.6465843","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465843","url":null,"abstract":"Phasor measurement units can provide high resolution and synchronized power system data, which can be effectively utilized for the implementation of data mining techniques. Data mining, based on pattern recognition algorithms can be of significant help for power system analysis, as high definition data is often complex to comprehend. In this paper three pattern recognition algorithms are applied to perform the data mining tasks. The deployment is carried out firstly for fault data classification, secondly for checking which faults are occurring more frequently and thirdly for identifying the root cause of a fault by clustering the parameters behind each scenario. For such purposes three algorithms are chosen, k-Nearest Neighbor, Naïve Bayes and the k-means Clustering.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133603564","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 : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465690
F. Marra, Y. T. Fawzy, T. Bulo, B. Blazic
The generation of power by photovoltaic (PV) systems is constantly increasing in low-voltage (LV) distribution grids, in line with the European environmental targets. To cope with the effects on grid voltage profiles during high generation and low demand periods, new solutions need to be established. In the long term, these solutions should also aim to allow further more PV installed capacity, while meeting the power quality requirements. In this paper, different concepts of energy storage are proposed to ensure the voltage quality requirements in a LV grid with high PV penetration. The proposed storage concepts can cooperate with reactive power methods and can be used to avoid grid reinforcement and active power curtailment. For the study, a residential LV grid with high share of PV generation is used. Simulation results show substantial benefits for the LV feeders operation, as well as an increased potential for local consumption.
{"title":"Energy storage options for voltage support in low-voltage grids with high penetration of photovoltaic","authors":"F. Marra, Y. T. Fawzy, T. Bulo, B. Blazic","doi":"10.1109/ISGTEurope.2012.6465690","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465690","url":null,"abstract":"The generation of power by photovoltaic (PV) systems is constantly increasing in low-voltage (LV) distribution grids, in line with the European environmental targets. To cope with the effects on grid voltage profiles during high generation and low demand periods, new solutions need to be established. In the long term, these solutions should also aim to allow further more PV installed capacity, while meeting the power quality requirements. In this paper, different concepts of energy storage are proposed to ensure the voltage quality requirements in a LV grid with high PV penetration. The proposed storage concepts can cooperate with reactive power methods and can be used to avoid grid reinforcement and active power curtailment. For the study, a residential LV grid with high share of PV generation is used. Simulation results show substantial benefits for the LV feeders operation, as well as an increased potential for local consumption.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132591937","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 : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465654
S. Ng, J. Zhong
This paper presents a bi-level consumer-utility optimization model to schedule an energy consumption pattern of controllable loads in the face of a time varying price function depending on system conditions and market operations. The controllable loads are classified into three types based on their natures and operating characteristics for an upper-level consumer's problem. To formulate the stochastic wind generators, a security-constrained optimal power flow (SCOPF) model is proposed for a lower-level utility's problem to consider various wind power scenarios. We then convert the bi-level model into a single-level of mathematical program with equilibrium constraints' (MPECs) problem to obtain the optimal load scheduling results. Finally, a simple case study is conducted to demonstrate the feasibility of the method.
{"title":"Security-constrained dispatch with controllable loads for integrating stochastic wind energy","authors":"S. Ng, J. Zhong","doi":"10.1109/ISGTEurope.2012.6465654","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465654","url":null,"abstract":"This paper presents a bi-level consumer-utility optimization model to schedule an energy consumption pattern of controllable loads in the face of a time varying price function depending on system conditions and market operations. The controllable loads are classified into three types based on their natures and operating characteristics for an upper-level consumer's problem. To formulate the stochastic wind generators, a security-constrained optimal power flow (SCOPF) model is proposed for a lower-level utility's problem to consider various wind power scenarios. We then convert the bi-level model into a single-level of mathematical program with equilibrium constraints' (MPECs) problem to obtain the optimal load scheduling results. Finally, a simple case study is conducted to demonstrate the feasibility of the method.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128820519","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 : 2012-10-01DOI: 10.1109/ISGTEurope.2012.6465671
J. Cepeda, J. Rueda, I. Erlich, D. G. Colomé
Recently, several smart grid applications have been designed to improve monitoring, protection and control of power systems in real time. Most of these emerging approaches exploit the capabilities of wide-area technologies (wide area monitoring, protection and control - WAMPAC). Since WAMPAC implementation requires distributed phasor measurements throughout the system, phasor measurement units (PMUs) have to be adequately located depending on the real-time application. This paper addresses the problem of PMU placement with the aim of achieving high observability of system dynamics that are associated to transient and other short-term phenomena, in order to perform reliable real-time dynamic vulnerability assessment. Thus, a hybrid approach to determine suitable PMU locations that allows ensuring observability of slow and fast dynamic phenomena is proposed. The proposal uses Monte Carlo-based simulations to iteratively evaluate the system fast dynamic coherency, as well as the bus oscillatory modal observability. The methodology is tested on the IEEE New England 39-bus test system. Results show the feasibility of the methodology for orienting the selection of buses that offer the best PMU location in terms of dynamic observability.
{"title":"Probabilistic approach-based PMU placement for real-time power system vulnerability assessment","authors":"J. Cepeda, J. Rueda, I. Erlich, D. G. Colomé","doi":"10.1109/ISGTEurope.2012.6465671","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465671","url":null,"abstract":"Recently, several smart grid applications have been designed to improve monitoring, protection and control of power systems in real time. Most of these emerging approaches exploit the capabilities of wide-area technologies (wide area monitoring, protection and control - WAMPAC). Since WAMPAC implementation requires distributed phasor measurements throughout the system, phasor measurement units (PMUs) have to be adequately located depending on the real-time application. This paper addresses the problem of PMU placement with the aim of achieving high observability of system dynamics that are associated to transient and other short-term phenomena, in order to perform reliable real-time dynamic vulnerability assessment. Thus, a hybrid approach to determine suitable PMU locations that allows ensuring observability of slow and fast dynamic phenomena is proposed. The proposal uses Monte Carlo-based simulations to iteratively evaluate the system fast dynamic coherency, as well as the bus oscillatory modal observability. The methodology is tested on the IEEE New England 39-bus test system. Results show the feasibility of the methodology for orienting the selection of buses that offer the best PMU location in terms of dynamic observability.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115614518","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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