Co-optimal PMU and communication system placement using hybrid wireless sensors
Tài liệu tham khảo
Dubey, 2018, Cost effective wide area measurement systems for smart power network, IEEE Power Energy Technol. Syst. J., 5, 85, 10.1109/JPETS.2018.2835646
Su, 2018, Transmission grid secondary voltage control method using PMU data, IEEE Trans. Smart Grid, 9, 2908, 10.1109/TSG.2016.2623302
Bashian, 2014, Security-based tariff for wheeling contracts considering fair congestion cost allocation, J. Control Automat. Electr. Syst., 25, 368, 10.1007/s40313-014-0106-x
Falabretti, 2018, Distribution networks’ observability: A novel approach and its experimental test, Sustainable Energy Grids Netw., 13, 56, 10.1016/j.segan.2017.12.006
Yiming Wu, 2016, Adaptive data link configuration for WAMC applications using a stateful data delivery service platform, Sustainable Energy Grids Netw., 6, 166, 10.1016/j.segan.2016.04.001
Ghasemkhani, 2017, Optimal design of a wide area measurement system for improvement of power network monitoring using a dynamic multiobjective shortest path algorithm, IEEE Syst. J., 11, 2303, 10.1109/JSYST.2015.2469742
Castello, 2018, Active phasor data concentrator performing adaptive management of latency, Sustainable Energy Grids Netw., 16, 270, 10.1016/j.segan.2018.09.004
Bashian, 2011, Determination of tariff for wheeling contracts considering fairness congestion cost allocation
Zhu, 2018, An optimal joint placement of PMUs and flow measurements for ensuring power system observability under N-2 transmission contingencies, Int. J. Electr. Power Energy Syst., 95, 254, 10.1016/j.ijepes.2017.08.025
Asgari, 2018, Optimal PMU placement for power system observability considering network expansion and N - 1 contingencies, IET Gener. Transm. Distrib., 12, 4216, 10.1049/iet-gtd.2018.5874
Nikkhah, 2018, Contingency constrained phasor measurement units placement with n - k redundancy criterion: a robust optimisation approach, IET Sci. Meas. Technol., 12, 151, 10.1049/iet-smt.2017.0158
Dalali, 2016, Optimal PMU placement for full observability of the power network with maximum redundancy using modified binary cuckoo optimisation algorithm, IET Gener. Transm. Distrib., 10, 2817, 10.1049/iet-gtd.2016.0287
Xia, 2015, Redundancy based PMU placement in state estimation, Sustainable Energy Grids Netw., 2, 23, 10.1016/j.segan.2015.03.002
Huang, 2013, Data-availability-constrained placement of PMUs and communication links in a power system, IEEE Syst. J., 8, 483, 10.1109/JSYST.2013.2260696
Ghasemkhani, 2016, An efficient multi-objective approach for designing of communication interfaces in smart grids
Eniye Tebekaemi, 2019, Secure overlay communication and control model for decentralized autonomous control of smart micro-grids, Sustainable Energy Grids Netw., 18
Shahraeini, 2012, Co-optimal placement of measurement devices and their related communication infrastructure in wide area measurement systems, IEEE Trans. Smart Grid, 3, 684, 10.1109/TSG.2011.2178080
Mohammadi, 2016, A new approach for optimal placement of PMUs and their required communication infrastructure in order to minimize the cost of the WAMS, IEEE Trans. Smart Grid, 7, 84, 10.1109/TSG.2015.2404855
Cruz, 2019, An algorithm for cost optimization of PMU and communication infrastructure in WAMS, Int. J. Electr. Power Energy Syst., 106, 96, 10.1016/j.ijepes.2018.09.020
Zhu, 2018, Optimal PMU-communication link placement for smart grid wide-area measurement systems, IEEE Trans. Smart Grid, 1
Appasani, 2018, Co-optimal placement of PMUs and their communication infrastructure for minimization of propagation delay in the WAMS, IEEE Trans. Ind. Inf., 14, 2120, 10.1109/TII.2018.2799659
Theodorakatos, 2019, Optimal phasor measurement unit placement for numerical observability using branch-and-bound and a binary-coded genetic algorithm, Electr. Power Compon. Syst., 1
Theodorakatos, 2018, Optimal phasor measurement unit placement for numerical observability using a two-phase branch-and-bound algorithm, Int. J. Emerging Electr. Power Syst., 19, 1
Theodorakatos, 2014, Optimal placement of PMUS in power systems using binary integer programming and genetic algorithm
Korres, 2015, Optimal phasor measurement unit placement for numerical observability in the presence of conventional measurements using semi-definite programming, IET Gener. Transm. Distrib., 9, 2427, 10.1049/iet-gtd.2015.0662
Moradi-Sepahvand, 2019, Optimal placement of a combination of single-phase and three-phase μpmus for observability of smart distribution networks with asymmetrical structure, Int. J. Electr. Power Energy Syst., 105, 592, 10.1016/j.ijepes.2018.09.001
Xygkis, 2016, Fisher information-based meter placement in distribution grids via the D-optimal experimental design, IEEE Trans. Smart Grid, 9, 1452, 10.1109/TSG.2016.2592102
Noel, 2017, Structural health monitoring using wireless sensor networks: A comprehensive survey, IEEE Commun. Surv. Tutor., 19, 1403, 10.1109/COMST.2017.2691551
Jung, 2019, Secrecy performance analysis of analog cooperative beamforming in three-dimensional Gaussian distributed wireless sensor networks, IEEE Trans. Wireless Commun., 18, 1860, 10.1109/TWC.2019.2897763
Horneber, 2014, A survey on testbeds and experimentation environments for wireless sensor networks, IEEE Commun. Surv. Tutor., 16, 1820, 10.1109/COMST.2014.2320051
Park, 2018, Wireless network design for control systems: A survey, IEEE Commun. Surv. Tutor., 20, 978, 10.1109/COMST.2017.2780114
Ayaz, 2018, Wireless sensor’s civil applications, prototypes, and future integration possibilities: A review, IEEE Sens. J., 18, 4, 10.1109/JSEN.2017.2766364
Chiang, 2007, A minimum hop routing protocol for home security systems using wireless sensor networks, IEEE Trans. Consum. Electron., 53, 1483, 10.1109/TCE.2007.4429241
Agarwal, 2017, Modeling energy consumption and lifetime of a wireless sensor node operating on a contention-based MAC protocol, IEEE Sens. J., 17, 5153, 10.1109/JSEN.2017.2722462
El-Sherif, 2018, Lifetime maximisation of disjoint wireless sensor networks using multiobjective genetic algorithm, IET Wireless Sens. Syst., 8, 200, 10.1049/iet-wss.2017.0069
Zonouz, 2016, Hybrid wireless sensor networks: A reliability, cost and energy-aware approach, IET Wireless Sens. Syst., 6, 42, 10.1049/iet-wss.2014.0131
Zonouz, 2015, Application communication reliability of wireless sensor networks, IET Wireless Sens. Syst., 5, 58, 10.1049/iet-wss.2013.0107
Mahmood, 2015, Reliability in wireless sensor networks: A survey and challenges ahead, Comput. Netw., 79, 166, 10.1016/j.comnet.2014.12.016
Wang, 2014, Reliability and lifetime modeling of wireless sensor nodes, Microelectron. Reliab., 54, 160, 10.1016/j.microrel.2013.08.001
Park, 2017, Time-dependent reliability of wireless networks with dependent failures, Reliab. Eng. Syst. Saf., 165, 47, 10.1016/j.ress.2017.03.017
Bidadfar, 2018, Dynamic Thévenin equivalent and reduced network models for PMU-based power system voltage stability analysis, Sustainable Energy Grids Netw., 16, 126, 10.1016/j.segan.2018.07.002
Lee, 2018, Comparison of μPMU and PMU
Shirkhani, 2016
Diaz-Gomez, 2007, Initial population for genetic algorithms: A metric approach
Kumar, 2018, Incremental PMU placement considering reliability of power system network using analytical hierarchical process, IET Gener. Transm. Distrib., 12, 3900, 10.1049/iet-gtd.2018.5630
Xia, 2011, Observability analysis of PMU placement: Multiple-solution studies
Makram, 2011, An improved model in optimal PMU placement considering sensitivity analysis
