Pub Date : 2015-05-07DOI: 10.1109/PSC.2015.7101693
O. Nzimako, Rudi Wierckx
This paper discusses the modeling and simulation of a grid-integrated photovoltaic system using a real time digital simulator. The mathematical modeling and derivation of the parameters of the PV array using an analytical and iterative procedure is discussed. The PV array is interfaced to a three-phase grid using a sinusoidal pulse width modulated voltage source converter with maximum power point tracking. A decoupled dq current control strategy is used to control the real and reactive power exchanged between the PV system and the grid. An analysis of the real-time operation of the photovoltaic system is presented.
{"title":"Modeling and simulation of a grid-integrated photovoltaic system using a real-time digital simulator","authors":"O. Nzimako, Rudi Wierckx","doi":"10.1109/PSC.2015.7101693","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101693","url":null,"abstract":"This paper discusses the modeling and simulation of a grid-integrated photovoltaic system using a real time digital simulator. The mathematical modeling and derivation of the parameters of the PV array using an analytical and iterative procedure is discussed. The PV array is interfaced to a three-phase grid using a sinusoidal pulse width modulated voltage source converter with maximum power point tracking. A decoupled dq current control strategy is used to control the real and reactive power exchanged between the PV system and the grid. An analysis of the real-time operation of the photovoltaic system is presented.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132941209","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 : 2015-03-10DOI: 10.1109/PSC.2015.7101690
M. Q. Duong, F. Grimaccia, S. Leva, M. Mussetta, K. H. Le
In wind power plants typically squirrel-cage induction generators (SCIG) tend to drain large amount of reactive power from the grid, potentially causing a drop voltage. To improve SCIG's power quality and transient stability, this paper investigates a new pitch angle control strategy, including normal scheme and Fault-Ride-Through (FRT) scheme, based on hybrid of PI and Fuzzy logic technique. In particular, an analytic model for transient stability is implemented using the equivalent circuit of the SCIG and on the concepts of stable and unstable electrical-mechanical equilibrium. This method has been evaluated by comparing the results with the dynamic simulation. The dynamic simulation results show that the proposed hybrid controller can be effective in enhancing output power smoothness and FRT requirements for SCIG in wind power system.
{"title":"Hybrid controller for transient stability in wind generators","authors":"M. Q. Duong, F. Grimaccia, S. Leva, M. Mussetta, K. H. Le","doi":"10.1109/PSC.2015.7101690","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101690","url":null,"abstract":"In wind power plants typically squirrel-cage induction generators (SCIG) tend to drain large amount of reactive power from the grid, potentially causing a drop voltage. To improve SCIG's power quality and transient stability, this paper investigates a new pitch angle control strategy, including normal scheme and Fault-Ride-Through (FRT) scheme, based on hybrid of PI and Fuzzy logic technique. In particular, an analytic model for transient stability is implemented using the equivalent circuit of the SCIG and on the concepts of stable and unstable electrical-mechanical equilibrium. This method has been evaluated by comparing the results with the dynamic simulation. The dynamic simulation results show that the proposed hybrid controller can be effective in enhancing output power smoothness and FRT requirements for SCIG in wind power system.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"10 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120891827","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 : 2015-03-10DOI: 10.1109/PSC.2015.7101700
B. Canizes, Marco Silva, P. Faria, S. Ramos, Z. Vale
The operation of distribution networks has been facing changes with the implementation of smart grids and microgrids, and the increasing use of distributed generation. The specific case of distribution networks that accommodate residential buildings, small commerce, and distributed generation as the case of storage and PV generation lead to the concept of microgrids, in the cases that the network is able to operate in islanding mode. The microgrid operator in this context is able to manage the consumption and generation resources, also including demand response programs, obtaining profits from selling electricity to the main network. The present paper proposes a methodology for the energy resource scheduling considering power flow issues and the energy buying and selling from/to the main network in each bus of the microgrid. The case study uses a real distribution network with 25 bus, residential and commercial consumers, PV generation, and storage.
{"title":"Resource scheduling in residential microgrids considering energy selling to external players","authors":"B. Canizes, Marco Silva, P. Faria, S. Ramos, Z. Vale","doi":"10.1109/PSC.2015.7101700","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101700","url":null,"abstract":"The operation of distribution networks has been facing changes with the implementation of smart grids and microgrids, and the increasing use of distributed generation. The specific case of distribution networks that accommodate residential buildings, small commerce, and distributed generation as the case of storage and PV generation lead to the concept of microgrids, in the cases that the network is able to operate in islanding mode. The microgrid operator in this context is able to manage the consumption and generation resources, also including demand response programs, obtaining profits from selling electricity to the main network. The present paper proposes a methodology for the energy resource scheduling considering power flow issues and the energy buying and selling from/to the main network in each bus of the microgrid. The case study uses a real distribution network with 25 bus, residential and commercial consumers, PV generation, and storage.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127117949","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 : 2015-03-10DOI: 10.1109/PSC.2015.7101692
R. Rastgoufard, I. Leevongwat, P. Rastgoufard
The purpose of this study is to determine the impact of seasonal hurricanes and tropical storms on the security and delivery of electricity in Gulf Coast states' electric grid to industrial customers. The Gulf Coast in general and the state of Louisiana in particular include a relatively high number of industrial plants that are connected to the electric grid, and continuity of electricity to these industrial plants is of vital importance in flow of energy from Gulf Coast states to the rest of the nation. The purpose of this paper is to identify the tropical storms and their characteristics in the last fifty years, to determine the existing industrial plants, including their products and services, and to develop an algorithm that results in the impact of tropical storms and hurricanes on continuity of electricity to any specific industrial plant in the Gulf Coast geographical area. The study determines “islanding” of part of the grid that may result from the impact of the simulated tropical storms and would provide sufficient information to plant managers for continuing or halting their plant operation in time prior to the landing of tropical storms or hurricanes. This paper includes a summary of simulation results of 50 historical and 26 hypothetical tropical storms on selected industrial plants in the geographical area. To display the usefulness and practicality of the developed algorithm, we will include results of one case study in the state of Louisiana. Further work on use of the developed algorithm in hardening and development of resilient transmission system in Gulf Coast states will be reported in future publications.
{"title":"Impact of hurricanes on gulf coast electric grid islanding of industrial plants","authors":"R. Rastgoufard, I. Leevongwat, P. Rastgoufard","doi":"10.1109/PSC.2015.7101692","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101692","url":null,"abstract":"The purpose of this study is to determine the impact of seasonal hurricanes and tropical storms on the security and delivery of electricity in Gulf Coast states' electric grid to industrial customers. The Gulf Coast in general and the state of Louisiana in particular include a relatively high number of industrial plants that are connected to the electric grid, and continuity of electricity to these industrial plants is of vital importance in flow of energy from Gulf Coast states to the rest of the nation. The purpose of this paper is to identify the tropical storms and their characteristics in the last fifty years, to determine the existing industrial plants, including their products and services, and to develop an algorithm that results in the impact of tropical storms and hurricanes on continuity of electricity to any specific industrial plant in the Gulf Coast geographical area. The study determines “islanding” of part of the grid that may result from the impact of the simulated tropical storms and would provide sufficient information to plant managers for continuing or halting their plant operation in time prior to the landing of tropical storms or hurricanes. This paper includes a summary of simulation results of 50 historical and 26 hypothetical tropical storms on selected industrial plants in the geographical area. To display the usefulness and practicality of the developed algorithm, we will include results of one case study in the state of Louisiana. Further work on use of the developed algorithm in hardening and development of resilient transmission system in Gulf Coast states will be reported in future publications.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128721744","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 : 2015-03-10DOI: 10.1109/PSC.2015.7101697
F. Ornelas‐Tellez, José Ortiz-Bejar, J. Rico, E. Sánchez
This paper presents an optimization and control scheme for power converters in a micro-grid, which is composed of a wind energy system, an energy storage element (supercapacitor), a load and the interconnection to the utility grid. Based on the results of a dynamic optimization model, which establish the energy flow in the micro-grid, an optimal control scheme uses these results of electrical power values as set-points to efficiently integrate renewable energy to/from the utility grid through the optimal control of power converters. A case study micro-grid is used to integrate the energy from renewable resources, with the facility to storage energy, to provide of energy to loads and to provide/consume energy to/from the utility grid. Simulation results are presented to assess the performance of the proposed controller for the case study micro-grid.
{"title":"Optimal operation and control for an electrical micro-grid","authors":"F. Ornelas‐Tellez, José Ortiz-Bejar, J. Rico, E. Sánchez","doi":"10.1109/PSC.2015.7101697","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101697","url":null,"abstract":"This paper presents an optimization and control scheme for power converters in a micro-grid, which is composed of a wind energy system, an energy storage element (supercapacitor), a load and the interconnection to the utility grid. Based on the results of a dynamic optimization model, which establish the energy flow in the micro-grid, an optimal control scheme uses these results of electrical power values as set-points to efficiently integrate renewable energy to/from the utility grid through the optimal control of power converters. A case study micro-grid is used to integrate the energy from renewable resources, with the facility to storage energy, to provide of energy to loads and to provide/consume energy to/from the utility grid. Simulation results are presented to assess the performance of the proposed controller for the case study micro-grid.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114325105","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 : 2015-03-10DOI: 10.1109/PSC.2015.7101715
Ke Tang, G. Venayagamoorthy
In recent days, as power systems are operated close to the stability margin, oscillation caused by lack of damping torque is frequently observed. Power System Stabilizer (PSS) enhances generator stability by providing a supplementary signal to the automatic voltage regulator which enhances the damping torque. Stochastic Subspace Identification (SSI) algorithm is applied to obtain a linearized single-input-multiple-output model of a power system and the Linear Matrix Inequality (LMI) approach is then used to design several PSSs. Typical results are presented for the LMI-SSI model based PSS design on the IEEE 68 16- machine power system.
{"title":"An LMI-SSI model based PSS design approach for a multi-machine power system","authors":"Ke Tang, G. Venayagamoorthy","doi":"10.1109/PSC.2015.7101715","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101715","url":null,"abstract":"In recent days, as power systems are operated close to the stability margin, oscillation caused by lack of damping torque is frequently observed. Power System Stabilizer (PSS) enhances generator stability by providing a supplementary signal to the automatic voltage regulator which enhances the damping torque. Stochastic Subspace Identification (SSI) algorithm is applied to obtain a linearized single-input-multiple-output model of a power system and the Linear Matrix Inequality (LMI) approach is then used to design several PSSs. Typical results are presented for the LMI-SSI model based PSS design on the IEEE 68 16- machine power system.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121537652","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 : 2015-03-10DOI: 10.1109/PSC.2015.7101717
R. Rastgoufard, I. Leevongwat, P. Rastgoufard
Personnel protective grounding of overhead distribution and transmission lines is a required safety practice involving field personnel using grounding wires to de-energize lines prior to working on the lines. The purpose of this investigation is to create an automatic process that determines the possible fault currents at all locations of transmission lines to help guide field personnel through selection of grounding wires that are appropriate for the level of the fault currents at corresponding locations. When the power system topology changes, the fault currents at different locations of the lines change. The automation updates the information and contributes to safer environment for field personnel. ASPEN OneLiner, a short-circuit analysis program, was used to perform sliding fault analysis - a series of short circuits placed at incremental distances between the two endpoints of a transmission line resulting in a current profile that shows the fault current level as a function of distance along the line. The paper includes a case study that demonstrates practicality of the method for simulation and analysis of power systems.
{"title":"Automatic determination of fault current breakpoint locations for personnel protective grounding of distribution and transmission lines","authors":"R. Rastgoufard, I. Leevongwat, P. Rastgoufard","doi":"10.1109/PSC.2015.7101717","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101717","url":null,"abstract":"Personnel protective grounding of overhead distribution and transmission lines is a required safety practice involving field personnel using grounding wires to de-energize lines prior to working on the lines. The purpose of this investigation is to create an automatic process that determines the possible fault currents at all locations of transmission lines to help guide field personnel through selection of grounding wires that are appropriate for the level of the fault currents at corresponding locations. When the power system topology changes, the fault currents at different locations of the lines change. The automation updates the information and contributes to safer environment for field personnel. ASPEN OneLiner, a short-circuit analysis program, was used to perform sliding fault analysis - a series of short circuits placed at incremental distances between the two endpoints of a transmission line resulting in a current profile that shows the fault current level as a function of distance along the line. The paper includes a case study that demonstrates practicality of the method for simulation and analysis of power systems.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124422931","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 : 2015-03-10DOI: 10.1109/PSC.2015.7101702
Ashfaqur Rahman, G. Venayagamoorthy
Modern interconnected electric power systems are made up of a large number of buses to meet the demand of electricity across large geographical distances. The large number of buses and interconnections across multiple areas result in a complex network and cause an increase in computational requirements on the processor. In order to meet the requirements of this increased complexity for state estimation, distributed estimation is getting attention nowadays. A new approach based on Cellular Computational Network (CCN) for static state estimation is proposed to overcome the computational demand of large power networks in general. The CCN architecture requires a cell at every bus where the states need to be estimated. A cell uses locally available information to estimate voltage magnitude and angle of its bus. The cells exploit output information of other cells in some electrical proximity prior to computing the outputs for next time step. Beside the promise of scalability of the CCN architecture, a fully observable system for state estimation and other applications can be realized. As the traditional estimators take all the measurements at a time and executes the estimation, missing some of the measurements may cause it to loose observability. In this paper, CCN based architecture is implemented with the popular Weighted Least Square (WLS) estimator on nonlinear power flow equations to estimate off-line data. Through simulation, the scalability and observability of the CCN based framework is investigated.
{"title":"Scalable cellular computational network based WLS state estimator for power systems","authors":"Ashfaqur Rahman, G. Venayagamoorthy","doi":"10.1109/PSC.2015.7101702","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101702","url":null,"abstract":"Modern interconnected electric power systems are made up of a large number of buses to meet the demand of electricity across large geographical distances. The large number of buses and interconnections across multiple areas result in a complex network and cause an increase in computational requirements on the processor. In order to meet the requirements of this increased complexity for state estimation, distributed estimation is getting attention nowadays. A new approach based on Cellular Computational Network (CCN) for static state estimation is proposed to overcome the computational demand of large power networks in general. The CCN architecture requires a cell at every bus where the states need to be estimated. A cell uses locally available information to estimate voltage magnitude and angle of its bus. The cells exploit output information of other cells in some electrical proximity prior to computing the outputs for next time step. Beside the promise of scalability of the CCN architecture, a fully observable system for state estimation and other applications can be realized. As the traditional estimators take all the measurements at a time and executes the estimation, missing some of the measurements may cause it to loose observability. In this paper, CCN based architecture is implemented with the popular Weighted Least Square (WLS) estimator on nonlinear power flow equations to estimate off-line data. Through simulation, the scalability and observability of the CCN based framework is investigated.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127906063","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 : 2015-03-10DOI: 10.1109/PSC.2015.7101694
N. Amoli, A. P. Sakis Meliopoulos
Unquestionably, renewable energy sources (RES) are an indispensable part of the future power systems, so-called smart grids. Since these sources are of variable and uncertain power output, power system operators would come across many challenges in operating future electric power systems. Increasing penetration of variable RES specifically wind power generation could lead to an increased need in operational flexibility within power systems, so that a more flexible power system could accommodate a larger amount of variable RES and effectively deal with increased variability and uncertainty of the system net load that results from the inherent intermittency of RES. Among options available, energy storage systems (ESS) could be considered to address this issue. In this paper, compressed air energy storage (CAES) is introduced and investigated for this purpose. A stochastic programming market-clearing model is presented to examine CAES capability for enhancing operational flexibility in power systems with high penetration of wind power. In order to demonstrate the efficacy of CAES, some case studies are carried out in a three-bus test system. The satisfactory results verify CAES ability at enhancing power system operational flexibility in terms of reduction in wind power curtailment and system operation cost.
{"title":"Operational flexibility enhancement in power systems with high penetration of wind power using compressed air energy storage","authors":"N. Amoli, A. P. Sakis Meliopoulos","doi":"10.1109/PSC.2015.7101694","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101694","url":null,"abstract":"Unquestionably, renewable energy sources (RES) are an indispensable part of the future power systems, so-called smart grids. Since these sources are of variable and uncertain power output, power system operators would come across many challenges in operating future electric power systems. Increasing penetration of variable RES specifically wind power generation could lead to an increased need in operational flexibility within power systems, so that a more flexible power system could accommodate a larger amount of variable RES and effectively deal with increased variability and uncertainty of the system net load that results from the inherent intermittency of RES. Among options available, energy storage systems (ESS) could be considered to address this issue. In this paper, compressed air energy storage (CAES) is introduced and investigated for this purpose. A stochastic programming market-clearing model is presented to examine CAES capability for enhancing operational flexibility in power systems with high penetration of wind power. In order to demonstrate the efficacy of CAES, some case studies are carried out in a three-bus test system. The satisfactory results verify CAES ability at enhancing power system operational flexibility in terms of reduction in wind power curtailment and system operation cost.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130692338","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 : 2015-03-10DOI: 10.1109/PSC.2015.7101698
Amir Golshani, Wei Sun, Qun Zhou
PMU placement is important to achieve full system observability. Traditional PMU placement algorithms only work for systems in normal condition. During power system restoration, system topology and condition change in each step. Synchrophsors can help to improve the reliability and efficiency of restoration strategy. However, the original PMU placement cannot guarantee system observability in each restoration step. In this paper, a new optimal PMU placement is formulated for single and multiple islands restoration. With the aid of PMU, system operator can obtain real-time measurements of voltage (magnitude and angle) and frequency from different islands and perform the parallel restoration precisely. The proposed algorithm is tested in modified IEEE 14-bus system. Simulation results demonstrate the effectiveness of proposed model and the advantage of PMU-aided parallel restoration.
{"title":"Optimal PMU placement for power system restoration","authors":"Amir Golshani, Wei Sun, Qun Zhou","doi":"10.1109/PSC.2015.7101698","DOIUrl":"https://doi.org/10.1109/PSC.2015.7101698","url":null,"abstract":"PMU placement is important to achieve full system observability. Traditional PMU placement algorithms only work for systems in normal condition. During power system restoration, system topology and condition change in each step. Synchrophsors can help to improve the reliability and efficiency of restoration strategy. However, the original PMU placement cannot guarantee system observability in each restoration step. In this paper, a new optimal PMU placement is formulated for single and multiple islands restoration. With the aid of PMU, system operator can obtain real-time measurements of voltage (magnitude and angle) and frequency from different islands and perform the parallel restoration precisely. The proposed algorithm is tested in modified IEEE 14-bus system. Simulation results demonstrate the effectiveness of proposed model and the advantage of PMU-aided parallel restoration.","PeriodicalId":409438,"journal":{"name":"2015 Clemson University Power Systems Conference (PSC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132885712","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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