Distribution State Estimation Incorporating Load Modelling

• Autorzy: Karimi M. , Mokhlis H. , Bakar A.H.A. , Shahriari A. , Kazeminejad M.

Warianty tytułu

PL

Estymacja zmiennych stanu energetycznej sieci rozdzielczej z uwzględnieniem modelu obciążenia

• Języki publikacji: EN

Abstrakty

EN

An accurate system state monitoring is crucial for maintaining system security, reliability and quality of a power system network. The process for assessing the system state variables can be achieved by state estimation method. State estimation is an action of appraising an unknown system variables based on limited number of real-time measurements. In this paper, state estimation for a distribution network is developed and enhanced by incorporating composite load model. By incorporating this model, the calculated state variables of the network will be more accurate (to obtain the most practical value of the system state variables). The proposed state estimation results are compared with backwardforward sweep load flow technique to justify the system state variables

PL

W artykule zaprezentowano metodę estymacji zmiennych stanu sieci przesyłowej oraz sposób poprawienia dokładności wyników poprzez zastosowanie w estymacji złożonego modelu obciążenia. Otrzymane dane poddano weryfikacji.

Słowa kluczowe

EN

backward-forward seep load flow; distribution state estimation; distribution network; load modelling

PL

estymacja zmiennych stanu sieci rozdzielczej; sieć rozdzielcza; ocena stanu; modelowanie obciążenia

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 11a
• Strony: 166--169
• Opis fizyczny: Bibliogr. 13 poz., tab., rys.

Twórcy

autor

Karimi M.

autor

Mokhlis H.

autor

Bakar A.H.A.

autor

Shahriari A.

autor

Kazeminejad M.

• Department of Electrical Engineering, Faculty of Engineering, University of Malaya,

Bibliografia

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• [2] T. Nagsarkar and M. Sukhija, Power System Analysis: Oxford University Press, (2007)
• [3] C. Lu, et al., Distribution system state estimation, IEEE Trans. Power Systems, vol. 10(1995), pp. 229-240
• [4] F. F. Wu, Power system state estimation: a survey, International Journal of Electrical Power & Energy Systems, vol. 12(1990), pp. 80-87
• [5] A. da Silva and D. Falcao, Bibliography on power system state estimation (1968-1989),IEEE Trans. Power Systems, vol. 5(1990), pp. 950-961
• [6] A. Bose and K. A. Clements, Real-time modeling of power networks, Proceedings of the IEEE, vol. 75(1987), pp. 1607- 1622
• [7] F. C. Schweppe, Power system static-state estimation, Part III: Implementation, IEEE Trans. Power Apparatus and Systems, (1970), pp. 130-135
• [8] A. T. Saric and R. M. Ciric, Integrated fuzzy state estimation and load flow analysis in distribution networks, IEEE Trans. Power Delivery, vol. 18(2003), pp. 571-578
• [9] N. V. Nguyen, et al., Power system state estimation with fusion method, Proceedings of the IEEE, vol. 5 (2010), pp. 71-76.
• [10] G. N. Korres, A distributed multiarea state estimation, IEEE Trans. Power Systems, (2011), pp. 1-12
• [11] D. Thukaram, et al., A robust three-phase state estimation algorithm for distribution networks, Electric Power Systems Research, vol. 55 (2000), pp. 191-200
• [12] Y. Deng, et al., A branch-estimation-based state estimation method for radial distribution systems, IEEE Trans. Power Delivery, vol. 17 (2002), pp. 1057-1062
• [13] M. Baran and F. F. Wu, Optimal sizing of capacitors placed on a radial distribution system, IEEE Trans. Power Delivery, vol. 4(1989), pp.735-743