Preventive Control of Electric Power System State Variables by the Methods of Probabilistic Load Flow

Czasopismo : Acta Energetica
Tytuł artykułu : Preventive Control of Electric Power System State Variables by the Methods of Probabilistic Load Flow

Autorzy :
Falkowski, D.
ENERGA-OPERATOR SA, dominik.falkowski@energa.pl,
Zarzycki, M.
PSE SA, maciej.zarzycki@pse.pl,
Golub, I. I.
Melentiev Energy Systems Institute of Russian Academy of Sciences, golub@isem.sei.irk.ru,
Voitov, O. N.
Melentiev Energy Systems Institute of Russian Academy of Sciences,
Boloev, E. V.
Angarsk State Technical Academy,
Abstrakty : The paper considers a technique for selection of preventive control actions to provide feasibility of electric power system (EPS) state variables, taking into consideration random character of variation in loads. The authors suggest that sensor variables in EPS should be identified and potential ranges of change in their values be estimated from the analysis of their numerical and probabilistic characteristics that are obtained by the analytical methods of probabilistic load flow.

W artykule przedstawiono metody określenia wrażliwych zmiennych stanu systemu elektroenergetycznego przy uwzględnieniu stochastycznego charakteru zmian obciążeń w systemie. Autorzy sugerują, że wrażliwe zmienne w systemie elektroenergetycznym powinny zostać zidentyfikowane wraz z oszacowaniem potencjalnego zakresu ich zmienności przy użyciu metod analitycznych oraz probabilistycznych.

Słowa kluczowe : analiza singularna, zmienne wrażliwe, probabilistyczne rozpływy mocy, singular analysis, sensor variables, probabilistic load flow,
Wydawnictwo : ENERGA SA
Rocznik : 2013
Numer : nr 1
Strony : 18 – 31
Bibliografia : 1. Voitov O.N. et al., Аnalysis of inhomogeneities in electric power systems, Novosibirsk: Sib. Pub. Comp., RAN, 1999, p. 256 p. (in Russian).
2. Ventsel E.S., Theory of probabilities, M.: Nauka 1969, p. 576 (in Russian).
3. Pugachev V.S., Theory of probabilities and mathematical statistics, M.: Nauka 1979, p. 496 (in Russian).
4. Kazakov I.E., Dostupov B.G., Statistical dynamics of nonlinear automatic systems, M.: Fizmatgiz 1962, p. 332 (in Russian).
5. Bibliographical index of publications by V.Z. Manusov, online http://rudocs.exdat.com/docs/index163024.html.
6. Manusov V.Z., Lykin А.V., Calculation of steady states of electric power systems considering the probabilistic nature of loads, Izv. Sib. Otdelenie Akad. Nauk SSSR, Tekhn. nauki 1973, Vyp. 1, No. 3, pp. 88–91 (in Russian).
7. Borkowska B., Probabilistic Load Flow, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-93, No. 3, May–June 1974, pp. 752–755.
8. Su C.L., Probabilistic load-flow computation using point estimate method, IEEE Trans. Power Systems, Vol. 20, No. 4, Nov. 2005, pp. 1843–1851.
9. Li X. at al., The Algorithm of Probabilistic Load Flow Retaining Nonlinearity, Proceedings of 2002 Power Con, Int. Conf. on Power System Technology, Kunming, Vol. 4, 2002, pp. 2111–2115.
10. Chen P., Chen Z., Bak-Jensen B., Probabilistic Load Flow: A Review, online http://vbn.aau.dk/ws/fbspretrieve-/16272096/ Probabilistic_load_flow_a_review.pdf.
11. Valdma M.K., Krumm L.A., Okhorzin Y.A., Methods of solving the stochastic problems of complex optimization of bulk power system operation, Irkutsk, 1974, pp. 96–111 (in Russian).
12. Murashko N.A., Okhorzin Y.A., Krumm L.A. et al., Analysis and control of steady states of electric power systems, Novosibirsk: Nauka, 1987, p. 240 (in Russian).
13. Golub I.I., Boloev E.V., Estimation of probability of sensor variables location in admissible borders, Proceedings of Int. Conf. Liberalizationand Modernization of Power System, Irkutsk, 2011, pp. 178–186.
14. Fedorchenko V.A., Theory of multidimensional distributions, M.: Rus 2003, p. 576 (in Russian).
15. Krumm L.A., Methods for optimization in control of electric power systems, Novosibirsk: Nauka, Sib. Otd., 1981, p. 317 (in Russian).
DOI :
Cytuj : Falkowski, D. ,Zarzycki, M. ,Golub, I. I. ,Voitov, O. N. ,Boloev, E. V. , Preventive Control of Electric Power System State Variables by the Methods of Probabilistic Load Flow. Acta Energetica nr 1/2013
facebook