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This paper presents Microgrid (MG) optimization using Genetic Algorithm. The MG model is based on renewable energy sources (wind turbine) and gas generator. The algorithm objective is determine the optimal size of combined wind and gas generator to satisfy a given Key Performance Indices (KPIs). The selected KPIs describe both dynamic and static performance of MG. The KPIs describing the dynamic performance...
Excitation system plays a key role in realistic simulation and analysis of the dynamic performance of electrical power systems. However, simulation results with parameters provided by manufacture can usually not match the real operation. Therefore, parameter identification based on field data is focused on. In this paper, parameter identification methods based on particle swarm optimization (PSO)...
The supplementary control signal is provided by means of Power System Stabilizer (PSS), will damp the low frequency oscillations. This paper presents the design of fuzzy logic based power system stabilizers using genetic algorithms in multimachine power system. In the proposed fuzzy expert system, generator speed deviation and its derivative are chosen as input signals to fuzzy logic based power system...
This paper presents robust tuning of Proportional Integral Derivative Power System Stabilizers (PID-PSS) using artificial intelligence (AI) techniques. Tow heuristic methods, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are used to PID-PSS parameters tuning minimizing an objective function and results are compared with each other which Eigen value analysis is used for comparison. The...
Fast and effective means to restore the load has a very important theoretical and practical significance after blackout. Power system is a real-time dynamic system, the constraints in current in calculation all are steady-state parameters such as steady-state frequency, steady-state voltage etc. The probable out of step and voltage collapse during the dynamic processes after load restoration cannot...
In this paper, an optimal approach based on genetic and simulated annealing algorithm (GASA) is prosposed to design more effective and robust subsynchronous damping control (SSDC) of Static Var Compensator (SVC) for multimodal SSR damping improvement. A practical multi-machine series compensated power system suffering multimodal SSR has been studied to demonstrate the effectiveness of the approach...
The measure of reactive power optimization of main power network mainly considers on-load tap changer, the optimal capacity of the capacitor, the voltage of generator under the steady load. Reducing active power loss is considered of the main object function. The model of reactive optimization is established based on these. And the penalty function is considered to deal with variables violating the...
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