Statistical Distribution State Estimation Algorithm to Determine Electric Network State Variables
الملخص
This work proposes a three phase statistical distribution network state estimation algorithm formulated on weighted least mean squares method (WLMS) to calculate the network voltage magnitude at each node on the network. The state estimation method used in this work is based on the methods used on transmission network. To overcome the lack of real time measurements which normally exist on 11kV distribution network, this work uses historical data acquired from billing system authority to make the state estimator observable.
الكلمات المفتاحية:
DSE distribution state estimation algorithm
كيفية الاقتباس
Rashid El-feres. (2023). Statistical Distribution State Estimation Algorithm to Determine Electric Network State Variables . مجلة جامعة بني وليد للعلوم الإنسانية والتطبيقية, 7(5), 1-8. https://doi.org/10.58916/jhas.v7i6.601
إصدار
القسم
Article
المراجع
1.
"Factors Affecting Electricity Prices – Energy Explained, Your Guide To Understanding Energy – Energy Information Administration". www.eia.gov. Retrieved 3 May 2018.
2.
Prehoda, Emily; Pearce, Joshua; Schelly, Chelsea (2019). "Policies to Overcome Barriers for Renewable Energy Distributed Generation: A Case Study of Utility Structure and Regulatory Regimes in Michigan". Energies. 12 (4): 674. doi:10.3390/en12040674.
3.
C. N. Lu, J. H. Teng, W. H. E. Liu, "Distribution on Power System State Estimation," Vol. 10, No. 1, February 1995.
4.
F.F. Wu. "Power System State Estimation: A Survey Electrical Power &Energy System, " Vol. 12 No. 2, April 1990.
5.
M. B. Do Coutto Fiho, A. M. Leite da Silva, and D. M. Falco, " Bibliography on power system state estimation (1968-1989), " IEEE Trans. On Power Systems, Vol. 5, No. 3 Aug. 1990.
6.
A. Bose, and K. Clements, "Real-Time Modeling of Power Networks," IEEE Proceedings, pp. 1607-1622, Dec. 1987.
7.
K. L. Geisler, "Ampere Magnitude line measurements for Power System State Estimation," IEEE Trans. on Power Apparatus and Systems, Vol. PAS-103, No, 8, Aug.1984.
8.
Sarada Devi, M.S.N.G.; Yesuratnam, G. Comparison of State Estimation Process on Transmission and Distribution Systems. In Advances in Decision Sciences, Image Processing, Security and Computer Vision; Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N., Eds.; Learning and Analytics in Intelligent Systems; Springer International Publishing: Cham, Switzerland, 2020; Volume 4, pp. 414–423. ISBN 978-3-030-24317-3
9.
Ahmad, F.; Rasool, A.; Ozsoy, E.; Sekar, R.; Sabanovic, A.; Elita¸s, M. Distribution system state estimation-A step towards smart grid. Renew. Sustain. Energy Rev. 2018, 81, 2659–2671
10.
Radhoush, S.; Bahramipanah, M.; Nehrir, H.; Shahooei, Z. A Review on State Estimation Techniques in Active Distribution Networks: Existing Practices and Their Challenges. Sustainability 2022, 14, 2520.
11.
D. I. H. Sun, S. Abe, R. R. Shoults, M. S. Chen, "Calculation of Energy Losses in Systems," IEEE Trans. on Power Apparatus and Systems, Vol. PAS, 90, No. 4, pp. 1347-1368, July/Aug. 1980.
12.
I. Roytelman, and S. M. Shahidehpour, "State Estimation for Electric Power Distribution System in Quasi Real-Time Conditions," IEEE paper 93 WM 090-1 PWRD.
13.
J. J. Grainger, and W. D. Stevenson, “Power System Analysis”, Book, International Editions 1994, McGraw-Hill, Inc., ISBN 0-07-113338-0.
14.
I. Cobelieo, “State Estimation in Distribution Network with DG” Mphil Thesis, Department of Electrical Engineering and Electronics, University of Manchester Institute of Science and Technology, 2003.
15.
Li, “State Estimation for Power Distribution System and Measurements Impacts” IEEE Transactions on Power Systems, Vol. 11, No. 2, May 1996.
16.
I. J. Nagrath, and D. P. Kothari, “Modern Power System Analysis” Book, Second Edition, Tata McGraw Hill, 1993, ISBN 0-07-451799-6.
17.
H. Li, “Load Flow Studies of Morton Park and Pirelli Network” Report for Econnect 967 Project, UMIST, 27 October 2004.
