Multi-Objective Optimization of Reactive Power Distribution in Power System
محورهای موضوعی : انرژیهای تجدید پذیر و شبکه های هوشمند
محمد امین ابراهیمی زرندی
1
,
مهدیه اسلامی
2
,
mehdi jafari
3
1 - دانشجوی دکتری مهندسی برق قدرت
2 - کرمان. دانشگاه ازاد. گروه برق
3 - Department of electronic Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
کلید واژه: Distributed Generation (DG), capacitors banks, active and reactive power management, imperialist competitive algorithm,
چکیده مقاله :
Optimal reactive power distribution is a critical aspect of economic and secure operation of power systems. This problem falls within the category of power system optimization problems where a specific objective function is optimized subject to a set of constraints and control variables. Due to the non-linear nature of this problem and the existence of multiple local optima, deterministic methods are not suitable for solving it. Therefore, stochastic and intelligent algorithms must be employed. Control variables in this problem include generator voltages, transformer tap positions, and reactive power compensation devices such as reactors and capacitors. Three objective functions, namely, minimizing active power losses, improving voltage profile, and maximizing voltage stability, are considered both individually and in a multi-objective manner. The primary algorithms investigated in this thesis include Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Colonial Competitive Algorithm (ICA), and Differential Evolution (DE). Additionally, weighted sum method and Non-dominated Sorting Genetic Algorithm II (NSGA-II) are employed for multi-objective optimization.
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