Temat: interval load - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Calculation of interval damping ratio under uncertain load in power system
Autorzy:: Xing, J.
Chen, C.
Wu, P.
Powiązania:: https://bibliotekanauki.pl/articles/201058.pdf
Data publikacji:: 2012
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: power system
low frequency oscillation
interval load
interval damping ratio
successive linear programming method
Opis:: The problem of small-signal stability considering load uncertainty in power system is investigated. Firstly, this paper shows attempts to create a nonlinear optimization model for solving the upper and lower limits of the oscillation mode’s damping ratio under an interval load. Then, the effective successive linear programming (SLP) method is proposed to solve this problem. By using this method, the interval damping ratio and corresponding load states at its interval limits are obtained. Calculation results can be used to evaluate the influence of load variation on a certain mode and give useful information for improvement. Finally, the proposed method is validated on two test systems.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 1; 151-158
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Short-term load prediction model combining FEW and IHS algorithm
Autorzy:: Yu, Mingxing
Zhu, Jiazheng
Yang, Li
Powiązania:: https://bibliotekanauki.pl/articles/141740.pdf
Data publikacji:: 2019
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: evaluation criteria
exponential fuzzy time series
fitness function
improved harmony search algorithms
load forecasting
optimal interval length
Opis:: :Accurate prediction of power load plays a crucial role in the power industry and provides economic operation decisions for the power operation department. Due to the unpredictability and periodicity of power load, an improved method to deal with complex nonlinear relation was adopted, and a short-term load forecasting model combining FEW (fuzzy exponential weighting) and IHS (improved harmonic search) algorithms was proposed. Firstly, the domain space was defined, the harmony memory base was initialized, and the fuzzy logic relation was identified. Then the optimal interval length was calculated using the training sample data, and local and global optimum were updated by optimization criteria and judging criteria. Finally, the optimized parameters obtained by an IHS algorithm were applied to the FEW model and the load data of the Huludao region (2013) in Northeast China in May. The accuracy of the proposed model was verified using an evaluation criterion as the fitness function. The results of error analysis show that the model can effectively predict short-term power load data and has high stability and accuracy, which provides a reference for application of short-term prediction in other industrial fields.
Źródło:: Archives of Electrical Engineering; 2019, 68, 4; 907-923
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Dostawca treści:: Biblioteka Nauki

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