Performance evaluation of two simplified algorithms of WLS power system state estimation

• Autorzy: Majdoub M. , Boukherouaa J. , Cheddadi B. , Belfqih A. , Sabri O. , Haidi T.

Identyfikatory

DOI

10.15199/48.2018.12.05

Warianty tytułu

PL

Badanie właściwości dwóch uproszczonych wersji algorytmu najmnijeszych kwadratów stosowanego do oceny systemu energetycznego

• Języki publikacji: EN

Abstrakty

EN

This paper presents a performance evaluation of two simplified versions of the well-known basic weighted least squares algorithm for power system state estimation. Different simulations are tested on IEEE 14, 30 and 118 bus systems: a comparative study was carried out in order to identify the advantages and disadvantages of each method. The results bring out the interest of WLS2 Algorithm which reduces by half the computation time compared to the basic algorithm with the same reliability and precision.

PL

W artykule zaprezentowano badanie właściwości dwóch uproszczonych wersji algorytmu najmnijeszych kwadratów stosowanego do oceny systemu energetycznego. Przeprowadzono symulacje systemu IEEE z 134, 30 I 118 szynami. W algorytmie WLS2 udaje się zredukować o połowę czas obliczeń.

Słowa kluczowe

EN

performance evaluation; weighted least squares algorithm; power system state estimation; simulations

PL

metoda najmniejszych kwadratów; system energetyczny; symulacja

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2018
• Tom: R. 94, nr 12
• Strony: 18--23
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Majdoub M.

• Laboratory of Electric Systems and Energy, Team of Electrical Networks and Static Converters, Higher National School of Electrical and Mechanical Engineering (ENSEM), University Hassan II of Casablanca, Morocco

autor

Boukherouaa J.

• Laboratory of Electric Systems and Energy, Team of Electrical Networks and Static Converters, Higher National School of Electrical and Mechanical Engineering (ENSEM), University Hassan II of Casablanca, Morocco

autor

Cheddadi B.

• Laboratory RITM EST, University Hassan II, Casablanca, Morocco

autor

Belfqih A.

• Laboratory of Electric Systems and Energy, Team of Electrical Networks and Static Converters, Higher National School of Electrical and Mechanical Engineering (ENSEM), University Hassan II of Casablanca, Morocco

autor

Sabri O.

• Laboratory RITM EST, University Hassan II, Casablanca, Morocco

autor

Haidi T.

• Laboratory LAGES, EHTP, Casablanca,Morocco

Bibliografia

• [1] Mukhtar Ahmad , Power System State Estimation (Artech House , 2013).
• [2] D P Kothari, I J Nagrath ,Modern Power System Analysis( Tata McGraw - Hill Education, 3rd Edition, 2003).
• [3] Dejun MENG and All ,Least Squares Class Power System State Estimation Algorithm Efficiency Analysis, Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2015.
• [4] J.J.Allemong, L.Radu, A.M.Sasson, A Fast and Reliable State Estimation Algorithm for AEP’s New Control Center, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-101, No. 4 April 1982.
• [5] Ali Abur and Antonio Gomez Exposito, Power System Estimation: Theory and Implementation( Marcel Dekker, Inc., 2004).
• [6] A.Thabet, S.Chniba, D.Gaetan, M.Boutayeb, M.N.Abdelkrim, Power Systems Load Flow & State Estimation: Modified Methods and Evaluation of Stability and Speeds Computing, International Review of Electrical Engineering(I.R.E.E),Vol.5,n.3 May-June 2010.
• [7] A. Anwar, A. N. Mahmood, Vulnerabilities of Smart Grid State Estimation against False Data Injection Attack ,Renewable Energy Integration, Green Energy and Technology, Springer, 2014, pp. 411-428.
• [8] Lanchao Liu, Mohammad Esmalifalak, Qifeng Ding, Valentine.Emesih, Zhu Han, Detecting False Data Injection Attacks on Power Grid by Sparse Optimization, IEEE Transactions on Smart Grid, March 2014.
• [9] Ankur Majumdar, Security in Power System State Estimation, Ph.D. dissertation, Dept. Electrical and Electronic Engineering, Imperial College London, May 2016.
• [10] K. S. Sastry Musti, Balasubrahmanyam P.V., Rajesh Reddy Malireddy, Power System State Estimation using Microsoft Excel, Spreadsheets in Education (eJSiE): Vol. 8: Iss. 1, Article 1, 2014.
• [11] Mehdi Davoudi, Elssodani Abdelhadi Muhammed, PMU Placement to Reduce State Estimation Bias Considering Parameters Uncertainty, The 9th Power Systems Protection & Control Conference (PSPC2015),January 2015.
• [12] Omar SABRI, Meriem MAJDOUB, Bouchra CHEDDADI, Abdelaziz BELFQIH, Jamal BOUKHEROUAA, Faissal EL MARIAMI, Nazha CHERKAOUI, Correlation between weight, error and type of measurements in WLS State estimation of a Real Network, PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 93 NR 7/2017.
• [13] R. Christie, “Power systems test case archive, Univ. Washington, Seattle, WA, USA. 1993. [Online]. Available: https://www2.ee.washington.edu/research/pstca/
• [14] Jiaxiong Chen and Yuan Liao ,State Estimation and Power Flow Analysis of Power Systems, Journal of computers ,vol,7, NO.3,March2012.
• [15] Majdoub Meriem, Sabri Omar, Cheddadi Bouchra, Belfqih Abdelaziz, Boukherouaa,Jamal,El Mariami Faissal, Cherkaoui Nazha, Study of State Estimation Using Weighted Least Squares Method, International Journal of Advanced Engineering Research and Science (IJAERS) ,Vol-3, Issue-8, Aug- 2016.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).