Pogonsko optimiranje razdjelnih mreža genetskim algoritmom

scientific master's theses

• Title (english): Distribution power network reconfiguration using genetic algorithm
• Author: Mladen Maras; VIAF: 305685701
• Mentor: Nedjeljko Perić (mentor)
• Committee member: Ivica Pavić (član povjerenstva)
• Committee member: Nedjeljko Perić (član povjerenstva)
• Committee member: Muharem Mehmedović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Control and Computer Engineering); Zagreb
• Defense date and country: 2007-07-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Process Computing
• Universal decimal classification (UDC): 004 - Computer science and technology. Computing. Data processing ; 621.3 - Electrical engineering

Abstract

U magistarskom radu pod nazivom "Pogonsko optimiranje razdjelnih mreža genetskim algoritmom" prikazuje se nova metoda za rekonfiguaciju razdjelnih mreža. Razvijena je i aplikacija u svrhu provjere razvijenog genetskog algoritma. Pogonsko optimiranje provodi se u svrhu smanjenja toplinskih gubitaka, povećanja raspoloživosti mreže i bolje raspodjele opterećenja uz poštivanje topoloških i pogonskih ograničenja. Kvaliteta nekog uklopnog stanja ocjenjuje se proračunom struja i padova napona, te proračunom raspoloživosti razdjelne mreže. Odabrana optimizacijska metoda je eliminacijski genetski algoritam s permutacijskim kodiranjem. Za stvaranje početnih rješenja razvijena su dva algoritma koja kreću od uklopnice "u dubinu" i "u širinu". Za operator križanja odabrano je ER križanje (eng. edge recombination). Razvijen je algoritam mutacije kojem se zadržava radijalna struktura mreže. Provjerom razvijenog genetskog algoritma na konkretnim razdjelnim mrežama potvrdila se njegova učinkovitost u smanjenju toplinskih gubitaka od 17% do 28%, povećanje raspoloživosti razdjelne mreže na četvrtoj decimali, te mogućnost rasterećenja preopterećenih dijelova mreže.

Abstract (english)

The master thesis “Distribution power network reconfiguration using genetic algorithm” proposes a new method for power network reconfiguration accounting constraints. An application for testing the proposed method is also developed. Reconfiguration of power distribution network is used to reduce Joule losses of power network, to enhance network reliability and to achieve better load balance of the system’s feeders while satisfying constraints. Load flow (calculation of currents and voltage drops) is used to evaluate quality of a particular network configuration. Proposed optimization method is an eliminating genetic algorithm with permutation coding. For evolving initial solutions (population) two algorithms are developed: "in depth" and "in breadth". Edge recombination operator constructs an offspring that inherits as much information as possible from the parent structures and is therefore chosen. Developed mutation algorithm does not violate the radial network. The proposed genetic algorithm has been tested on real distribution networks. Joule losses have been reduced from 17 % to 28 % and reliability has been enhanced at fourth decimal.

• Keywords: elektroenergetski sustav; ER rekombinacijski operator; genetski algoritam; pogonsko optimiranje; raspoloživost; razdjelne mreže
• Keywords (english): edge-recombination; electric losses minimization; genetic algorithm; network reconfiguration; network reliability; power system; radial distribution networks
• Language: croatian
• URN:NBN: urn:nbn:hr:168:290511
• Study programme: Title: Postgraduate master programe in computing; Study programme type: university; Study level: postgraduate; Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-03-27 15:33:43