Janez Usenik (Author)

Abstract

In this article, a mathematical model of control of a dynamic system is described; one such system could be a power supply system. Analytical approaches that have been developed to describe the influence of production and stock, i.e. additional capacities, require a hierarchical spatial pattern and demand. Demand is usually an inherently stochastic process, but in this article we simulate it as an output fuzzy variable in a fuzzy system, in which all the input variables are also fuzzy. Furthermore, an interesting use of neural sets is shown, which is presented as an efficient method for the optimisation of the fuzzy system. At the end, a numerical example is given.

Keywords

power supply system;energy capacities;demand;fuzzy logic;neural net;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FE - Faculty of Energetics
UDC: 519.6:681.5
COBISS: 1024110428 Link will open in a new window
ISSN: 1855-5748
Parent publication: Journal of energy technology
Views: 1753
Downloads: 26
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Other data

Secondary language: Slovenian
Secondary title: Mehki model upravljanja energetskega sistema
Secondary abstract: V članku je predstavljen mehki model upravljanja dinamičnega sistema, ki je lahko tudi energetski sistem. Razviti analitični pristopi, s katerimi opišemo medsebojni vpliv proizvodnje ter zalog, v takšnih sistemih so to dodatne kapacitete, zahtevajo hierarhično porazdeljeno prostorsko dogajanje/porabo oziroma povpraševanje. Prikazana je možnost, da povpraševanje, ki je po naravi stohastični proces, simuliramo z mehkim sistemom, kjer so vhodne spremenljivke opisane z mehkimi množicami. V nadaljevanju članka pa prikažemo še možnost uporabe nevronskih mrež kot izjemno zanimiv in zlasti zelo učinkovit način optimizacije mehkega sistema. Na koncu je narejen tudi numerični izračun.
Secondary keywords: energetski sistemi;dinamični sistemi;upravljanje;mehki model upravljanja;
URN: URN:SI:UM:
Type (COBISS): Not categorized
Pages: str. 23-37
Volume: ǂVol. ǂ5
Issue: ǂiss. ǂ3
Chronology: aug. 2012
ID: 1029768