1. Determination of generator excitation system parameters by multiobjective optimisation and finding minimal oscillation solutions
- Author
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Špoljarić, Tomislav and Pavić, Ivica
- Subjects
Elektrotehnika ,TECHNICAL SCIENCES. Electrical Engineering. Power Engineering ,stabilnost elektroenergetskog sustava ,udc:621.3(043.3) ,AVR regulator ,automatic voltage regulator ,rotor angle stability ,multi-objective optimization ,višeciljna optimizacija ,power system stability ,power system stabilizer ,Electrical engineering ,TEHNIČKE ZNANOSTI. Elektrotehnika. Elektroenergetika ,kutna stabilnost ,PSS stabilizator - 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 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. 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 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.
- Published
- 2022