Određivanje parametara uzbudnoga sustava generatora višeciljnom optimizacijom i pronalaženje skupa rješenja minimalnih oscilacija

doctoral thesis

• Title (english): Determination of generator excitation system parameters by multiobjective optimisation and finding minimal oscillation solutions
• Author: Tomislav Špoljarić
• Mentor: Ivica Pavić (mentor)
• Committee member: Igor Kuzle (predsjednik povjerenstva)
• Committee member: Juraj Havelka (član povjerenstva)
• Committee member: Marinko Stojkov (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Energy and Power Systems); Zagreb
• Defense date and country: 2022-11-30, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering; Power Engineering
• Universal decimal classification (UDC): 621.3 - Electrical engineering

Abstract

U doktorskom radu obrađena je problematika vezana za optimizaciju parametara PSS stabilizatora (engl. Power System Stabilizer) i AVR regulatora (eng. Automatic Voltage Regulator) kroz upotrebu modeliranja elektroenergetskog sustava (EES-a) i simuliranja rada sustava u specifičnim operativnim stanjima. Operativna stanja su vezana za ispitivanje kutne stabilnosti i uključuju realne pogonske situacije kao što su privremeni ispad interkonekcijskog voda, kratkotrajni ispad opterećenja, tropolni... More kratki spoj ili uklop dodatnog tereta. Kroz simulaciju se koristi višeciljna metaheuristička optimizacija sa svrhom nalaženja optimalnih parametara za koje sustav treba reagirati sa što manjim oscilacijama odziva. Predviđeni algoritmi su algoritmi starije i novije generacije metaheurističke inteligencije: VRPSO (eng. Velocity Relaxed Particle Swarm Optimization), ALO (eng. Ant Lion Optimizer), SSA (eng. Salp Swarm Algorithm) i SA (eng. Simulated Annealing). Ciljne funkcije su vezane za integral umnoška vremena i odstupanja promatranih veličina, te pokazatelje kvalitete prijelaznog procesa. U višeciljnoj optimizaciji tih dviju funkcija koristi se analiza Pareto optimalnosti dva stanja. Less

Abstract (english)

This dissertation discusses problems and proposes methods regarding parameter optimization of PSS (Power System Stabilizer) and AVR (Automatic Voltage Regulator) devices in power system. This problem is inspected by using power system modelling and simulation of various operating conditions. These simulations are a part of rotor angle stability inspection, and they present real-world power system contingency problems such as: interconnection transmission line outage, short term load... More outage, short circuit, additional load injection, etc. Multiobjective swarm optimization is applied with purpose of finding parameters optima for which a system should respond with oscillations as minimal as possible. Algorithms predicted for use in such optimization are VRPSO (velocity relaxed particle swarm optimization), ALO (Ant Lion Optimizer), SSA (Salp Swarm Algorithm) and SA (Simulated Annealing). Used objective functions include ITAE (integral of time multiplied with absolute error) and time domain transitional process quality indicators, which are analyzed through Pareto optimality. Less

• Keywords: stabilnost elektroenergetskog sustava; kutna stabilnost; višeciljna optimizacija; AVR regulator; PSS stabilizator
• Keywords (english): power system stability; rotor angle stability; multi-objective optimization; automatic voltage regulator; power system stabilizer
• Language: croatian
• URN:NBN: urn:nbn:hr:168:517204
• Promotion: 2023
• Study programme: Title: Doctoral study programme "Electrical Engineering and Computing"; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
• Type of resource: Text
• Extent: xii, 227 str. : graf. prikazi ; 31 cm + CD-ROM.
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-03-28 08:50:36