Abstract
Phasor Measurement Unit (PMU) is an essential measuring tool for monitoring, control and protection of power system network by providing time-stamped synchronized measurement details for voltage, current and frequency of an operational grid. As the installation cost of each PMU is high; therefore, it is necessary to install a reduced number of PMU to give full observability to the entire power system network. There are various conventional and heuristic approaches are proposed to solve this optimal placement problem (OPP) of PMU. In this paper, only the heuristic techniques are discussed to solve this OPP problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gaushell DJ, Darlington HT (1987) Supervisory control and data acquisition. Proc IEEE 75(12):1645–1658
Phadke G (1993) Synchronized phasor measurements in power systems. IEEE Comput. Appl. Power 6(2):10–15
Mazhari SM, Monsef H, Lesani H, Fereidunian A (2013) A multi-objective PMU placement method considering measurement redundancy and observability value under contingencies. IEEE Trans Power Syst 28:2136–2146
Wu L, Xia L (2012) Research on data compatibility of PMU/SCADA mixed measurement state estimation, communications and information processing. In: Communications in Computer and Information Science, vol 288, pp 703–712. Springer, Heidelberg (2012)
Phadke AG (1993) Synchronized Phasor measurements. IEEE Comput. Appl. Power (1993)
El-Ela A, Adel M, Kinawy M, Mouwafi AT et al (2014) Optimal placement of phasor measurement units for power system observability using ant colony optimization algorithm. In: International middle- east power systems conference, pp 1–6
Mazlumi K, Vahedi H (2010) Optimal placement of PMUs in power systems based on bacterial foraging algorithm. In: 18th Iranian conference on electrical engineering, Isfahan, pp 885–888
Li S, Meng S (2017) Optimal PMU placement based on improved binary artificial bee colony algorithm. In: IEEE transportation electrification conference and expo, Asia-Pacific (ITEC Asia-Pacific), Harbin, pp 1–6
Venkatesh T, Jain T (2014) Optimal PMU placement using best first search algorithm with pruning. In: Eighteenth National Power Systems Conference (NPSC), Guwahati, pp 1–5
Srivastava A, Maheswarapu S (2015) Optimal PMU placement for complete power system observability using binary cat swarm optimization. In: International conference on energy economics and environment (ICEEE), Noida, pp 1–6
Dalali M, Kazemi Karegar H (2016) Optimal PMU placement for full observability of the power network with maximum redundancy using modified binary cuckoo optimization algorithm. IET Gener Trans Distrib 10(11):2817–2824
Al-Mohammed H, Abido MA, Mansour MM (2011) Optimal placement of synchronized phasor measurement units based on differential evolution algorithm. In: IEEE PES conference on innovative smart grid technologies - Middle East, Jeddah, pp 1–9
Hassanin KM, Abdelsalam AA, Abdelaziz AY (2017) Optimal PMUs placement for full observability of electrical power systems using flower pollination algorithm. In: IEEE International conference on smart energy grid engineering (SEGE), pp 20–25
Ghosh PK, Chatterjee S, Saha Roy BK (2017) Optimal PMU placement solution: graph theory and MCDM-based approach. IET Gener Trans Distrib 11(13):3371–3380
Tran V, Zhang H (2018) Optimal PMU placement using modified greedy algorithm. J Control Autom and Electr Syst 29:99–106
Aminifar F, Lucas C, Khodaei A, Fotuhi-Firuzabad M (2009) Optimal placement of phasor measurement units using immunity genetic algorithm. IEEE Trans Power Deliv 24(3):1014–1020
Maji TK, Acharjee P (2017) Multiple solutions of optimal PMU placement using exponential binary PSO algorithm for smart grid applications. IEEE Trans Ind Appl 53(3):2550–2559
Linda O, Wijayasekara D, Manic M, McQueen M (2014) Optimal placement of phasor measurement units in power grids using memetic algorithms. In: IEEE 23rd international symposium on industrial electronics (ISIE), Istanbul, pp 2035–2041
Koutsoukis NC, Manousakis NM, Georgilakis PS, Korres GN (2013) Numerical observability method for optimal phasor measurement units placement using recursive Tabu search method. IET Gener Trans Distrib 7(4):347–356
Raj A, Venkaiah C (2015) Optimal PMU placement by teaching-learning based optimization algorithm. In: 39th national systems conference (NSC), Noida, pp 1–6
Manousakis NM, Korres GN, Georgilakis PS (2011) Optimal placement of phasor measurement units: a literature review. In: 16th International conference on intelligent systems applications to power systems, Hersonissos, pp 1–6
Enshaee et al (2012) A new method for optimal placement of phasor measurement units to maintain full network observability under various contingencies. Electr Power Syst Res 89:1–10
Singh B, Sharma NK et al (2011) Applications of phasor measurement units (PMUs) in electric power system networks incorporated with FACTS controllers. Int J Eng Sci Technol 3(3):64–82
Abdelaziz AY, Ibrahim AM, Salem RH (2013) Power system observability with minimum phasor measurement units placement. Int J Eng Sci Technol 5(3):1–18
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Priyadarshini, S., Panigrahi, C.K. (2020). Application of Heuristic Methods for Optimal Placement of Phasor Measurement Unit. In: Nayak, J., Balas, V., Favorskaya, M., Choudhury, B., Rao, S., Naik, B. (eds) Applications of Robotics in Industry Using Advanced Mechanisms. ARIAM 2019. Learning and Analytics in Intelligent Systems, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-030-30271-9_21
Download citation
DOI: https://doi.org/10.1007/978-3-030-30271-9_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30270-2
Online ISBN: 978-3-030-30271-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)