Optimal Placement of Phasor Measurement Unit based on Bus Observation Reliability

Author(s): Van-Khoi Tran*, He-Sheng Zhang

Journal Name: Recent Advances in Electrical & Electronic Engineering
Formerly Recent Patents on Electrical & Electronic Engineering

Volume 12 , Issue 1 , 2019


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Graphical Abstract:


Abstract:

Background: Meter placement, which can determine sufficient measurements for the successful estimate implementation, plays a crucial role for state estimation of the power system. For ensuring the robustness of state estimation against bad data in measurements, fail data from attackers and loss of measures; the measurement redundancies are necessary.

Methods: This paper proposes a new method based on the observation reliability criteria of the bus to solve the optimal meter placement problem in the power network. The goal of this work is to enhance the effect of measurement redundancies and achieve any desired rates of robustness for state estimation. Regarding the practicability of the method, some practical aspects, such as zero injection bus, the presence of conventional measurements, the change of network's topology, or computational time, were also considered.

Result: The simulations on IEEE RTS 96, 14-bus, 30-bus, 57-bus and 2383-bus test systems were tested for evaluating the effect of the proposed approach. The simulated results showed that the proposed method is flexible, practical and feasible in solving the meter placement problem for real power networks.

Conclusion: Based on the observation reliability of buses we can enhance the effect of redundancy significantly and achieve any desired robust rates of state estimation.

Keywords: Phasor Measurement Unit (PMU), optimal placement, observation reliability, power network observability, SE technology, zero injection bus.

[1]
I. Ahmadian, O. Abedinia, and N. Ghadimi, "Fuzzy stochastic long-term model with consideration of uncertainties for deployment of distributed energy resources using interactive honey bee mating optimization", Frontiers Energy, vol. 8, pp. 412-425, 2014.
[2]
M.E. Nasab, I. Maleksaeedi, M. Mohammadi, and N. Ghadimi, "A new multiobjective allocator of capacitor banks and distributed generations using a new investigated differential evolution", Complexity, vol. 19, pp. 40-54, 2014.
[3]
A. Noruzi, T. Banki, O. Abedinia, and N. Ghadimi, "A new method for probabilistic assessments in power systems, combining monte carlo and stochastic-algebraic methods", Complexity, vol. 21, pp. 100-110, 2015.
[4]
Y. Liu, W. Wang, and N. Ghadimi, "Electricity load forecasting by an improved forecast engine for building level consumers", Energy, vol. 139, pp. 18-30, 2017.
[5]
A.R. Gollou, and N. Ghadimi, "A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity markets", J. Intell. Fuzzy Syst., vol. 32, pp. 4031-4045, 2017.
[6]
M.H. Firouza, and N. Ghadimi, "Short-term management of hydro-power systems based on uncertainty model in electricity markets", J. Power Technol., vol. 95, pp. 265-272, 2015.
[7]
O. Abedinia, M. Bekravi, and N. Ghadimi, "Intelligent controller based wide-area control in power system", Int. J. Uncertain. Fuzziness Knowl. Based Syst., vol. 25, pp. 1-30, 2017.
[8]
B. Xu, and A. Abur, Observability analysis and measurement placement for systems with PMUs.In: Power Syst., Conf. Exposit, 2004, pp. 943-946.
[9]
B. Gou, "Optimal placement of PMUs by Integer linear programming", IEEE Trans. Power Syst., vol. 23, pp. 1525-1526, 2008.
[10]
M. Hurtgen, and J-C. Maun, "Optimal PMU placement using iterated local search", Electric. Power Energy Syst., vol. 32, pp. 857-860, 2010.
[11]
R.H. Shewale, B.K. Kethineni, U.P. Balaraju, and S.K. Bhil, "Optimal placement of phasor measurement unit for power system observability by heuristic search method", Internat. J. Adv. Technol. Eng. Res., vol. 2, pp. 128-133, 2012.
[12]
G.V. Naydu, and A.B. Parmar, "Optimal placement of phasor measurement units using integer linear programming", Internat. J. Eng. Develop. Res., vol. 2, pp. 2544-2549, 2014.
[13]
R. Babu, and B. Bhattacharyya, "“Optimal allocation of phasor measurement unit for full observability of the connected power network”, Electric", Power Energ Syst., vol. 79, pp. 89-97, 2016.
[14]
M.N.-Heris and B.M.-Ivatloo, "Optimal placement of phasor measurement units to attain power system observability utilizing an upgraded binary harmony search algorithm", Energy Syst., vol. 6, pp. 201-220, 2015.
[15]
V. Kekatos, and G.B. Giannakis, "A convex relaxation approach to optimal placement of phasor measurement units In:", 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) , 2011pp. 145-148
[16]
V. Kekatos, G.B. Giannakis, and B. Wollenberg, "Optimal placement of phasor measurement units via convex relaxation", IEEE Trans. Power Syst., vol. 27, no. 3, pp. 1521-1530, 2012.
[17]
N.M. Manousakis, and G.N. Korres, "A weighted least squares algorithm for optimal PMU placement", IEEE Trans. Power Syst., vol. 28, pp. 3499-3500, 2013.
[18]
J.A. Taylor, N. Luangsomboon, and D. Fooladivanda, "Allocating sensors and actuators via optimal estimation and control", IEEE Trans. Contr. Syst. Technol., vol. 25, pp. 1060-1067, 2017.
[19]
S.M. Mahaei, and M.T. Hagh, "Minimizing the number of PMUs and their optimal placement in power systems", Electr. Power Syst. Res., vol. 83, pp. 66-72, 2012.
[20]
R. Kavasseri, and S.K. Srinivasan, "Joint placement of phasor and power flow measurements for observability of power systems", IEEE Trans. Power Syst., vol. 26, pp. 1929-1936, 2011.
[21]
G.N. Korres, N.M. Manousakis, T.C. Xygkis, and J. Löfberg, "Optimal phasor measurement unit placement for numerical observability in the presence of conventional measurements using semi-definite programming", IET Gener. Transm. Distrib., vol. 9, pp. 2427-2436, 2015.
[22]
D. Dua, S. Dambhare, and R.K. Gajbhiye, "Optimal multistage scheduling of PMU placement: An ILP approach", IEEE Trans. Power Deliv., vol. 23, pp. 1812-1820, 2008.
[23]
A. Ahmadi, Y. Alinejad-Beromi, and M. Moradi, "Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy", Expert Syst. Appl., vol. 38, pp. 7263-7269, 2011.
[24]
J. Aghaei, A. Baharvandi, M-A. Akbari, and K.M. Muttaqi, "M.-R. A. and A. Heidari, “Multi-objective phasor measurement unit placement in electric power networks: Integer Linear Programming Formulation", Electr. Power Compon. Syst., vol. 43, pp. 1902-1911, 2015.
[25]
V. Khiabani, O. Yadav, and R. Kavesseri, "Reliability-based placement of phasor measurement units in power systems.In", Proceedings of the Institution of Mechanical Engineers Part O: J. Risk Reliab., vol. 226, pp. 109-117, 2012.
[26]
X. Tai, D. Marelli, E. Rohr, and M. Fu, "Optimal PMU placement for power system state estimation with random component outages", Electrical Power Energy Syst., vol. 51, pp. 35-42, 2013.
[27]
O. Gomez, M.A. Rios, and G. Anders, "Reliability-based phasor measurement unit placement in power systems considering transmission line outages and channel limits", IET Gener. Transm. Distrib., vol. 8, pp. 121-130, 2014.
[28]
M. Göl, and A. Abur, Optimal PMU placement for state estimation robustness. In: 5th IEEE PES Innovative Smart Grid Technologies Europe., ISGT Europe: Istanbul, Turkey, 2014, pp. 1-6.
[29]
J. Hao, R.J. Piechocki, D. Kaleshi, W.H. Chin, and Z. Fan, "Multistage PMU placement scheduling for robust state estimation in power systems In: IEEE ICC 2015 - Workshop on Green Communications and Networks with Energy Harvesting, Smart Grids, and Renewable Energies, London, UK 2015, pp.1952-1957 ",
[30]
M. Davoudi, and E.A. Muhammed, "Muhammed, “PMU placement to reduce state estimation bias considering parameters uncertainty. In: The 9th Power Systems Protection Control Conference (PSPC2015), Tehran, Iran, 2015, pp. 55-58",
[31]
M. Hajian, "Optimal placement of PMUs to maintain network observability using a modified BPSO algorithm”, Electric", Power Energy Syst., vol. 33, pp. 28-34, 2011.
[32]
A. Mahari, and H. Seyedi, "Optimal PMU placement for power system observability using BICA, considering measurement redundancy", Electr. Power Syst. Res., vol. 103, pp. 78-85, 2013.
[33]
S. Mousavian, and M.J. Feizollahi, "An investment decision model for the optimal placement of phasor measurement units", Expert Syst. Appl., vol. 42, pp. 7276-7284, 2015.
[34]
E. Abiri, F. Rashidi, and T. Niknam, "An optimal PMU placement method for power system observability under various contingencies", Internat. Transact. Electric. Ener. Syst., vol. 25, pp. 589-606, 2015.
[35]
E. Abiri, F. Rashidi, T. Niknam, and M.R. Salehi, "Optimal PMU placement method for complete topological observability of power system under various contingencies", Electric. Power Energ. Syst., vol. 61, pp. 585-593, 2014.
[36]
M.T. Mouwafi, "R.A.E.-Sehiemy, A.A.A., E.-Ela, A.M. Kinawy, “Optimal placement of phasor measurement units with minimum availability of measuring channels in smart power systems", Electr. Power Syst. Res., vol. 141, pp. 421-431, 2016.
[37]
M. Dalali, and H.K. Karegar, "Optimal PMU placement for full observability of the power network with maximum redundancy using modified binary cuckoo optimisation algorithm", IET Generat. Transmiss. Distribut., vol. 10, pp. 2817-2824, 2016.
[38]
N.M. Manousakis, and G.N. Korres, "Optimal PMU placement for numerical observability considering fixed channel capacity—A semidefinite programming approach", IEEE Trans. Power Syst., vol. 31, pp. 3328-3329, 2016.
[39]
B. Vedik, and A.K. Chandel, "Optimal PMU placement for power system observability using Taguchi binary bat algorithm", Measurement, vol. 95, pp. 8-20, 2016.
[40]
S. Almasabi, and J. Mitra, "Multi-stage optimal PMU placement including substation infrastructure In: IEEE Industry Appl. Soc. Annual Meet., 2017, pp.1-8. ",
[41]
Q. Yang, "D. An and R. Min, “On optimal PMU placement-based defense against data integrity attacks in smart grid", IEEE Transact. Inform. Foren. Secur., vol. 12, pp. 1735-1750, 2017.
[42]
E. Zio, and L.R. Golea, "Analyzing the topological, electrical and reliability characteristics of a power transmission system for identifying its critical elements", Reliab. Eng. Syst. Saf., vol. 101, pp. 67-74, 2012.
[43]
E. Zio, L.R. Golea, and C.M. Rocco, "Identifying groups of critical edges in a realistic electrical network by multi-objective genetic algorithms", Reliab. Eng. Syst. Saf., vol. 99, pp. 172-177, 2012.
[44]
P.A. Kaplunovich, and K.S. Turitsyn, "Statistical properties and classification of N-2 contingencies in large scale power grids In: 47th Hawaii International Conference on System Science, Waikoloa, HI, USA, 2014, pp. 2517-2526. ",
[45]
Y-K. Lin, P-C. Chang, and L. Fiondella, "A study of correlated failures on the network reliability of power transmission systems", Electric. Power Energ. Syst., vol. 43, pp. 954-960, 2012.
[46]
W. Yang, L. Wenyuan, and L. Jiping, "Reliability analysis of phasor measurement unit using hierarchical markov modeling", Electr. Power Compon. Syst., vol. 37, pp. 517-532, 2009.
[47]
V-K. Tran, H-S. Zhang, and V-N. Nguyen, "Optimal PMU placement in multi-configuration power distribution networks In", 4th Intern. Conf. Electric. Electron. Eng. Comput. Sci., 2016pp. 508-514


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Article Details

VOLUME: 12
ISSUE: 1
Year: 2019
Published on: 10 January, 2019
Page: [68 - 78]
Pages: 11
DOI: 10.2174/2352096511666180508143702
Price: $25

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