Binary particle swarm optimisation-based optimal substation coverage algorithm for phasor measurement unit installations in practical systems
暂无分享,去创建一个
[1] Nikolaos M. Manousakis,et al. Numerical observability method for optimal phasor measurement units placement using recursive Tabu search method , 2013 .
[2] Nikolaos M. Manousakis,et al. A Weighted Least Squares Algorithm for Optimal PMU Placement , 2013, IEEE Transactions on Power Systems.
[3] James S. Thorp,et al. A PMU Placement Scheme Ensuring Real-Time Monitoring of Critical Buses of the Network , 2014, IEEE Transactions on Power Delivery.
[4] Ranjana Sodhi,et al. Phasor measurement unit placement framework for enhanced wide-area situational awareness , 2015 .
[5] Y. Alinejad-Beromi,et al. Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy , 2011, Expert Syst. Appl..
[6] S.H. Hosseini,et al. Observability and estimation of transformer tap setting with minimal PMU placement , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.
[7] R. Kavasseri,et al. Joint Placement of Phasor and Power Flow Measurements for Observability of Power Systems , 2011, IEEE Transactions on Power Systems.
[8] Chetan Mishra. Optimal Substation Coverage for Phasor Measurement Unit Installations , 2017 .
[9] P. S. Georgilakis,et al. Taxonomy of PMU Placement Methodologies , 2012, IEEE Transactions on Power Systems.
[10] G. Contaxis,et al. Transformer tap setting observability in state estimation , 2004, IEEE Transactions on Power Systems.
[11] Mladen Kezunovic,et al. Regression tree for stability margin prediction using synchrophasor measurements , 2013, IEEE Transactions on Power Systems.
[12] Ruipeng Guo,et al. A Substation-Oriented Approach to Optimal Phasor Measurement Units Placement , 2015 .
[13] Zhe Chen,et al. Realistic Approach for Phasor Measurement Unit Placement: Consideration of Practical Hidden Costs , 2015, IEEE Transactions on Power Delivery.
[14] James S. Thorp,et al. Synchronized Phasor Measurement Applications in Power Systems , 2010, IEEE Transactions on Smart Grid.
[15] George J. Anders,et al. Reliability-based phasor measurement unit placement in power systems considering transmission line outages and channel limits , 2014 .
[16] Russell C. Eberhart,et al. A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
[17] S. R. Brammer,et al. State estimation of voltage and phase-shift transformer tap settings , 1991 .
[18] M. Pedrasa,et al. Scheduling of Demand Side Resources Using Binary Particle Swarm Optimization , 2009, IEEE Transactions on Power Systems.
[19] Lei Huang,et al. Optimal PMU Placement Considering Controlled Islanding of Power System , 2014, IEEE Transactions on Power Systems.
[20] B. Gou,et al. Unified PMU Placement for Observability and Bad Data Detection in State Estimation , 2014, IEEE Transactions on Power Systems.
[21] M. Fotuhi-Firuzabad,et al. Optimal Placement of Phasor Measurement Units Using Immunity Genetic Algorithm , 2009, IEEE Transactions on Power Delivery.
[22] Y. Morsly,et al. Particle Swarm Optimization Inspired Probability Algorithm for Optimal Camera Network Placement , 2012, IEEE Sensors Journal.
[23] M. Begovic,et al. Nondominated Sorting Genetic Algorithm for Optimal Phasor Maesurement Placement , 2002 .
[24] M. Begovic,et al. Nondominated sorting genetic algorithm for optimal phasor measurement placement , 2002, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).
[25] S. C. Srivastava,et al. Multi-criteria decision-making approach for multistage optimal placement of phasor measurement units , 2011 .
[26] Bo Wang,et al. PMU-Based Fault Location Using Voltage Measurements in Large Transmission Networks , 2012, IEEE Transactions on Power Delivery.
[27] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[28] Sudarshan K. Srinivasan,et al. Joint placement of phasor and conventional power flow measurements for fault observability of power systems , 2011 .
[29] Jamshid Aghaei,et al. Probabilistic PMU Placement in Electric Power Networks: An MILP-Based Multiobjective Model , 2015, IEEE Transactions on Industrial Informatics.
[30] A.G. Phadke,et al. The Wide World of Wide-area Measurement , 2008, IEEE Power and Energy Magazine.
[31] Antonio J. Conejo,et al. Participation factor approach for phasor measurement unit placement in power system state estimation , 2012 .