A new tool for reconfiguration of a distribution system

被引：0

作者：

Uher, Marian ^{[1
]}

Pokorny, Viktor ^{[1
]}

机构：

[1] VSB TU Ostrava, Dept Elect Engn, Ostrava, Czech Republic

来源：

PROCEEDINGS OF THE 2015 16TH INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRIC POWER ENGINEERING (EPE) | 2015年

关键词：

Smart grids; distribution network; renewable sources; Solver Platform; feedback effects of renewable sources; PREDICTION; ENERGY;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The present article describes the development of a tool for optimizing the operations of a power grid with renewable sources of energy. It also explains the origins and development of the "Solver Platform" as a software for determining the optimum power grid topology with respect to predicted information about consumption and generation of electric power in the selected intersections (nodes) of the analyzed grid. The functioning of the Solver Platform is explained through the interaction of its basic elements. In addition, the article clarifies the development of the mathematical model for the analyzed power grid as well as the user environment as a graphical extension to the mathematical apparatus of the Solver Platform system. Finally, the article delineates a system for selection of the optimum network topology with respect to the results obtained from the calculations of the parameters of the analyzed system in a type situation.

引用

页码：595 / 600

页数：6

共 15 条

[1]

Abdelsalam H. A., EFFECT PHOTOVOLTAIC, P504, DOI [10.1007/978-3-319-03753-0_45, DOI 10.1007/978-3-319-03753-0_45]

[2] Estimation of the energy of a PV generator using artificial neural network [J].

Almonacid, F. ;

Rus, C. ;

Perez, P. J. ;

Hontoria, L. .

RENEWABLE ENERGY, 2009, 34 (12) :2743-2750

[3]

[Anonymous], 2013, OPERATOR TRHU S ELEK

[4] A Method to Study the Effect of Renewable Resource Variability on Power System Dynamics [J].

Chen, Yu Christine ;

Dominguez-Garcia, Alejandro D. .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (04) :1978-1989

[5]

Dehghan M., 2005, APPL MATH COMPUTATIO

[6]

Dvorsky J, 2010, COMM COM INF SC, V88, P656

[7]

Freris L, 2008, Renewable Energy in Power Systems

[8] Short-mid-term solar power prediction by using artificial neural networks [J].

Izgi, Ercan ;

Oztopal, Ahmet ;

Yerli, Bihter ;

Kaymak, Mustafa Kemal ;

Sahin, Ahmet Duran .

SOLAR ENERGY, 2012, 86 (02) :725-733

[9]

Kromer P., 2011, Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011), P41, DOI 10.1109/INCoS.2011.97

[10]

Kulworawanichpong T., 2009, ELECT POWER ENERGY S

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