Pub Date : 2016-09-01DOI: 10.1109/NAPS.2016.7747972
K. Alatawi, Fahad M. Almasoudi, M. Matin
In this paper, a Two-Switch forward converter using enhancement mode Gallium Nitride transistors (GaN FETs) operating in CCM is designed for low power and high frequency applications. This topology provides a galvanic isolated, simple and efficient approach which will be suitable to use in battery charge circuits. The performance of the converter is evaluated using Si MOSFETs and GaN FETs. Comparison of the switching characteristics performance and the overall efficiency of the converter using Si MOSFTEs and GaN FETs are presented and discussed. The results are presented for a 100W, 200-24 V converter operating at two switching frequencies 100KHz and 500KHz.
{"title":"Performance enhancement of two-switch forward converter using GaN FETs","authors":"K. Alatawi, Fahad M. Almasoudi, M. Matin","doi":"10.1109/NAPS.2016.7747972","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747972","url":null,"abstract":"In this paper, a Two-Switch forward converter using enhancement mode Gallium Nitride transistors (GaN FETs) operating in CCM is designed for low power and high frequency applications. This topology provides a galvanic isolated, simple and efficient approach which will be suitable to use in battery charge circuits. The performance of the converter is evaluated using Si MOSFETs and GaN FETs. Comparison of the switching characteristics performance and the overall efficiency of the converter using Si MOSFTEs and GaN FETs are presented and discussed. The results are presented for a 100W, 200-24 V converter operating at two switching frequencies 100KHz and 500KHz.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115769198","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 : 2016-09-01DOI: 10.1109/NAPS.2016.7747952
F. Diaz-Franco, T. Vu, T. El Mezyani, C. Edrington
This paper focuses on the use of model predictive control (M PC) to control a two-stage photovoltaic (PV) system in order to accomplish new grid code standards for low-voltage ride-through (LVRT). The PV system is composed by a DC/DC boost converter at the generator-side, followed by a two-level three-phase grid - tied inverter. The PV's voltage support function through reactive power injection is examined using the mentioned control technique, and a PV power-reference tracking system is implemented during the Voltage sag to avoid the activation of the overcurrent tripping mechanism. The system is modeled in Matlab/Simulink and PLECS in order to understand its operation, and to evaluate the effectiveness of the MPC proposed algorithm to fulfill LVRT requirements for PV Systems.
{"title":"Low-voltage ride-through for PV systems using model predictive control approach","authors":"F. Diaz-Franco, T. Vu, T. El Mezyani, C. Edrington","doi":"10.1109/NAPS.2016.7747952","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747952","url":null,"abstract":"This paper focuses on the use of model predictive control (M PC) to control a two-stage photovoltaic (PV) system in order to accomplish new grid code standards for low-voltage ride-through (LVRT). The PV system is composed by a DC/DC boost converter at the generator-side, followed by a two-level three-phase grid - tied inverter. The PV's voltage support function through reactive power injection is examined using the mentioned control technique, and a PV power-reference tracking system is implemented during the Voltage sag to avoid the activation of the overcurrent tripping mechanism. The system is modeled in Matlab/Simulink and PLECS in order to understand its operation, and to evaluate the effectiveness of the MPC proposed algorithm to fulfill LVRT requirements for PV Systems.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123657250","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 : 2016-09-01DOI: 10.1109/NAPS.2016.7747984
Shengjun Huang, V. Dinavahi
This paper formulates the security constrained transmission expansion planning (SCTEP) into a standard two-stage stochastic programming (SP) problem with complete recourse, which is then tackled by Benders decomposition (BD) due to its special decomposable structure, additionally, three improvements are also employed to accelerate the classical BD: valid inequality, multicut strategy, and optimal precondition. The performance of the improved BD is demonstrated by massively case studies on three classical benchmarks: the Garver 6-bus system, the IEEE 24-bus system, and the IEEE 118-bus system. Significant reduction in both execution time and the number of iterations are achieved for all acceleration strategies.
{"title":"Security constrained transmission expansion planning by accelerated benders decomposition","authors":"Shengjun Huang, V. Dinavahi","doi":"10.1109/NAPS.2016.7747984","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747984","url":null,"abstract":"This paper formulates the security constrained transmission expansion planning (SCTEP) into a standard two-stage stochastic programming (SP) problem with complete recourse, which is then tackled by Benders decomposition (BD) due to its special decomposable structure, additionally, three improvements are also employed to accelerate the classical BD: valid inequality, multicut strategy, and optimal precondition. The performance of the improved BD is demonstrated by massively case studies on three classical benchmarks: the Garver 6-bus system, the IEEE 24-bus system, and the IEEE 118-bus system. Significant reduction in both execution time and the number of iterations are achieved for all acceleration strategies.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128781107","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 : 2016-09-01DOI: 10.1109/NAPS.2016.7747830
Bowen Li, Spencer D. Maroukis, Yashen Lin, J. Mathieu
Aggregations of controllable loads are considered to be a fast-responding, cost-efficient, and environmental-friendly candidate for power system ancillary services. Unlike conventional service providers, the potential capacity from the aggregation is highly affected by factors like ambient conditions and load usage patterns. Previous work modeled aggregations of controllable loads (such as air conditioners) as thermal batteries, which are capable of providing reserves but with uncertain capacity. A stochastic optimal power flow problem was formulated to manage this uncertainty, as well as uncertainty in renewable generation. In this paper, we explore how the types and levels of uncertainty, generation reserve costs, and controllable load capacity affect the dispatch solution, operational costs, and CO2 emissions. We also compare the results of two methods for solving the stochastic optimization problem, namely the probabilistically robust method and analytical reformulation assuming Gaussian distributions. Case studies are conducted on a modified IEEE 9-bus system with renewables, controllable loads, and congestion. We find that different types and levels of uncertainty have significant impacts on dispatch and emissions. More controllable loads and less conservative solution methodologies lead to lower costs and emissions.
{"title":"Impact of uncertainty from load-based reserves and renewables on dispatch costs and emissions","authors":"Bowen Li, Spencer D. Maroukis, Yashen Lin, J. Mathieu","doi":"10.1109/NAPS.2016.7747830","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747830","url":null,"abstract":"Aggregations of controllable loads are considered to be a fast-responding, cost-efficient, and environmental-friendly candidate for power system ancillary services. Unlike conventional service providers, the potential capacity from the aggregation is highly affected by factors like ambient conditions and load usage patterns. Previous work modeled aggregations of controllable loads (such as air conditioners) as thermal batteries, which are capable of providing reserves but with uncertain capacity. A stochastic optimal power flow problem was formulated to manage this uncertainty, as well as uncertainty in renewable generation. In this paper, we explore how the types and levels of uncertainty, generation reserve costs, and controllable load capacity affect the dispatch solution, operational costs, and CO2 emissions. We also compare the results of two methods for solving the stochastic optimization problem, namely the probabilistically robust method and analytical reformulation assuming Gaussian distributions. Case studies are conducted on a modified IEEE 9-bus system with renewables, controllable loads, and congestion. We find that different types and levels of uncertainty have significant impacts on dispatch and emissions. More controllable loads and less conservative solution methodologies lead to lower costs and emissions.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"129 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130037351","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 : 2016-09-01DOI: 10.1109/NAPS.2016.7748000
Liangyi Sun, Rui Fan, A. Meliopoulos, Yu Liu, Zhenyu Tan
A dynamic state estimation (DSE) based protection algorithm using weighted least square (WLS) method was introduced recently. In this paper, the DSE-based protection algorithm using constraint weighted least squares (CWLS) method is applied to capacitor bank protection. This approach monitors the health status of the capacitor bank by fitting real time measurements to the capacitor bank dynamic model via dynamic state estimation. Virtual measurements are added to the measurements set by considering the physical laws that must be obeyed by the capacitor bank (i.e. KVL, KCL). Virtual measurements can be handled as measurements with high accuracy or as constraints to the dynamic state estimation. The CWLS method treats the virtual measurements as constraints while the WLS method treats them as highly accuracy measurements. Comparison of capacitor bank protection results using unconstraint WLS and CWLS is provided. It is shown that the proposed method can detect internal faults and issue the trip signal correctly The use of CWLS provides a more sensitive protection for capacitor banks.
{"title":"Capacitor bank protection via constraint WLS dynamic state estimation method (CWLS-DSE)","authors":"Liangyi Sun, Rui Fan, A. Meliopoulos, Yu Liu, Zhenyu Tan","doi":"10.1109/NAPS.2016.7748000","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7748000","url":null,"abstract":"A dynamic state estimation (DSE) based protection algorithm using weighted least square (WLS) method was introduced recently. In this paper, the DSE-based protection algorithm using constraint weighted least squares (CWLS) method is applied to capacitor bank protection. This approach monitors the health status of the capacitor bank by fitting real time measurements to the capacitor bank dynamic model via dynamic state estimation. Virtual measurements are added to the measurements set by considering the physical laws that must be obeyed by the capacitor bank (i.e. KVL, KCL). Virtual measurements can be handled as measurements with high accuracy or as constraints to the dynamic state estimation. The CWLS method treats the virtual measurements as constraints while the WLS method treats them as highly accuracy measurements. Comparison of capacitor bank protection results using unconstraint WLS and CWLS is provided. It is shown that the proposed method can detect internal faults and issue the trip signal correctly The use of CWLS provides a more sensitive protection for capacitor banks.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127910955","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 : 2016-09-01DOI: 10.1109/NAPS.2016.7747916
E. Muljadi, V. Gevorgian, A. Wright, J. Donegan, C. Marnagh, J. Mcentee
As renewable generation has become less expensive during recent decades, and it becomes more accepted by the global population, the focus on renewable generation has expanded to include new types with promising future applications, such as river and tidal generation. Although the utilization of power electronics and electric machines in industry is phenomenal, the emphasis on system design is different for various sectors of industry. In precision control, robotics, and weaponry, the design emphasis is on accuracy and reliability with less concern for the cost of the final product. In energy generation, the cost of energy is the prime concern; thus, capital expenditures (CAPEX) and operations and maintenance expenditures (OPEX) are the major design objectives. This paper describes the electrical power conversion aspects of river and tidal generation. Although modern power converter control is available to control the generation side, the design was chosen on the bases of minimizing the CAPEX and OPEX; thus, the architecture is simple and modular for ease of replacement and maintenance. The power conversion is simplified by considering a simple diode bridge and a DC-DC power converter to take advantage of abundant and low-cost photovoltaic inverters that have well-proven grid integration characteristics (i.e., the capability to produce energy with good power quality and control real power and voltage on the grid side).
{"title":"Electrical power conversion of river and tidal power generator","authors":"E. Muljadi, V. Gevorgian, A. Wright, J. Donegan, C. Marnagh, J. Mcentee","doi":"10.1109/NAPS.2016.7747916","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747916","url":null,"abstract":"As renewable generation has become less expensive during recent decades, and it becomes more accepted by the global population, the focus on renewable generation has expanded to include new types with promising future applications, such as river and tidal generation. Although the utilization of power electronics and electric machines in industry is phenomenal, the emphasis on system design is different for various sectors of industry. In precision control, robotics, and weaponry, the design emphasis is on accuracy and reliability with less concern for the cost of the final product. In energy generation, the cost of energy is the prime concern; thus, capital expenditures (CAPEX) and operations and maintenance expenditures (OPEX) are the major design objectives. This paper describes the electrical power conversion aspects of river and tidal generation. Although modern power converter control is available to control the generation side, the design was chosen on the bases of minimizing the CAPEX and OPEX; thus, the architecture is simple and modular for ease of replacement and maintenance. The power conversion is simplified by considering a simple diode bridge and a DC-DC power converter to take advantage of abundant and low-cost photovoltaic inverters that have well-proven grid integration characteristics (i.e., the capability to produce energy with good power quality and control real power and voltage on the grid side).","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128695669","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 : 2016-09-01DOI: 10.1109/NAPS.2016.7747983
Frhat Aeiad, Wenzhong Gao, J. Momoh
Bad data detection and identification is an important step in state estimation procedures. Finding the values of the state variables relies on real time measurements which are normally contaminated by noise or may suffer some error due to misconfiguration. Furthermore, the data is a target for hackers who try to change some measurement readings that lead operators to take wrong decisions. The need for accurate and reliable measurements is one of the research areas that have been extensively investigated in the last few decades. in this paper, Multidimensional Scaling (MDS) is used as a new technique to identify the source of the bad data in the network. Weighted least square and Chi-squared test have been used to calculate the state variables and to test the presence of the bad data. Finally, MDS is used to identify the source of the bad data. Different scenarios have been tested on the IEEE 14 bus system by using the proposed method.
{"title":"Bad data detection for smart grid state estimation","authors":"Frhat Aeiad, Wenzhong Gao, J. Momoh","doi":"10.1109/NAPS.2016.7747983","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747983","url":null,"abstract":"Bad data detection and identification is an important step in state estimation procedures. Finding the values of the state variables relies on real time measurements which are normally contaminated by noise or may suffer some error due to misconfiguration. Furthermore, the data is a target for hackers who try to change some measurement readings that lead operators to take wrong decisions. The need for accurate and reliable measurements is one of the research areas that have been extensively investigated in the last few decades. in this paper, Multidimensional Scaling (MDS) is used as a new technique to identify the source of the bad data in the network. Weighted least square and Chi-squared test have been used to calculate the state variables and to test the presence of the bad data. Finally, MDS is used to identify the source of the bad data. Different scenarios have been tested on the IEEE 14 bus system by using the proposed method.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124893948","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 : 2016-09-01DOI: 10.1109/NAPS.2016.7747946
Tamara Becejac, P. Dehghanian, M. Kezunovic
Over the past decades, many synchrophasor applications have been developed but the performance under various PMU errors has not been explored and is unknown for most applications. This paper discusses the impact of PMU measurement errors and limitations originated from hardware implementation of various phasor estimation algorithms on the accuracy of the synchrophasor-based fault location application, in particular on the fault location algorithm that uses synchronized phasors at both line terminals. The application test procedure is implemented on a simple two-bus system modeled in ATP-EMTP with different types of fault scenarios simulated and various real PMUs exposed to the fault signals through hardware-in-the-loop testing. Results acquired from such evaluations provide invaluable knowledge about limitations and vulnerabilities of synchrophasor end-use applications.
{"title":"Impact of the errors in the PMU response on synchrophasor-based fault location algorithms","authors":"Tamara Becejac, P. Dehghanian, M. Kezunovic","doi":"10.1109/NAPS.2016.7747946","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747946","url":null,"abstract":"Over the past decades, many synchrophasor applications have been developed but the performance under various PMU errors has not been explored and is unknown for most applications. This paper discusses the impact of PMU measurement errors and limitations originated from hardware implementation of various phasor estimation algorithms on the accuracy of the synchrophasor-based fault location application, in particular on the fault location algorithm that uses synchronized phasors at both line terminals. The application test procedure is implemented on a simple two-bus system modeled in ATP-EMTP with different types of fault scenarios simulated and various real PMUs exposed to the fault signals through hardware-in-the-loop testing. Results acquired from such evaluations provide invaluable knowledge about limitations and vulnerabilities of synchrophasor end-use applications.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114547912","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 : 2016-09-01DOI: 10.1109/NAPS.2016.7747932
Ricardo Siqueira de Carvalho, S. Mohagheghi
Smart grids are cyber-physical systems that integrate an information and communication technology (ICT) network with the existing power system infrastructure. As smart grids become more mature, the interdependency between the cyber and physical systems becomes stronger. Because of this, the traditional reliability assessment, power grid operations, and power system security assessment techniques, where the physical layer of the power system is considered in isolation and without considering the impact of the communication network, are not sufficient for providing a comprehensive picture of the system anymore. Hence, an interdependent study is needed where both the physical layer and the communication network are taken into account. The objective of this paper is to provide a survey of some of the latest studies and findings in the literature about the impact of communication imperfections on smart grid reliability and operation. Also, a brief overview of some of the recent cyber security studies related to power grid operation has been presented. Finally, some current research questions and future trends in smart grid communications and cyber security are discussed.
{"title":"Analyzing impact of communication network topologies on reconfiguration of networked microgrids, impact of communication system on smart grid reliability, security and operation","authors":"Ricardo Siqueira de Carvalho, S. Mohagheghi","doi":"10.1109/NAPS.2016.7747932","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747932","url":null,"abstract":"Smart grids are cyber-physical systems that integrate an information and communication technology (ICT) network with the existing power system infrastructure. As smart grids become more mature, the interdependency between the cyber and physical systems becomes stronger. Because of this, the traditional reliability assessment, power grid operations, and power system security assessment techniques, where the physical layer of the power system is considered in isolation and without considering the impact of the communication network, are not sufficient for providing a comprehensive picture of the system anymore. Hence, an interdependent study is needed where both the physical layer and the communication network are taken into account. The objective of this paper is to provide a survey of some of the latest studies and findings in the literature about the impact of communication imperfections on smart grid reliability and operation. Also, a brief overview of some of the recent cyber security studies related to power grid operation has been presented. Finally, some current research questions and future trends in smart grid communications and cyber security are discussed.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125784009","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 : 2016-09-01DOI: 10.1109/NAPS.2016.7747962
K. Baker, E. Dall’Anese, T. Summers
This paper outlines a data-driven, distributionally robust approach to solve chance-constrained AC optimal power flow problems in distribution networks. Uncertain forecasts for loads and power generated by photovoltaic (PV) systems are considered, with the goal of minimizing PV curtailment while meeting power flow and voltage regulation constraints. A data-driven approach is utilized to develop a distributionally robust conservative convex approximation of the chance-constraints; particularly, the mean and covariance matrix of the forecast errors are updated online, and leveraged to enforce voltage regulation with predetermined probability via Chebyshev-based bounds. By combining an accurate linear approximation of the AC power flow equations with the distributionally robust chance constraint reformulation, the resulting optimization problem becomes convex and computationally tractable.
{"title":"Distribution-agnostic stochastic optimal power flow for distribution grids","authors":"K. Baker, E. Dall’Anese, T. Summers","doi":"10.1109/NAPS.2016.7747962","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747962","url":null,"abstract":"This paper outlines a data-driven, distributionally robust approach to solve chance-constrained AC optimal power flow problems in distribution networks. Uncertain forecasts for loads and power generated by photovoltaic (PV) systems are considered, with the goal of minimizing PV curtailment while meeting power flow and voltage regulation constraints. A data-driven approach is utilized to develop a distributionally robust conservative convex approximation of the chance-constraints; particularly, the mean and covariance matrix of the forecast errors are updated online, and leveraged to enforce voltage regulation with predetermined probability via Chebyshev-based bounds. By combining an accurate linear approximation of the AC power flow equations with the distributionally robust chance constraint reformulation, the resulting optimization problem becomes convex and computationally tractable.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127757545","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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