To solve the difficulty in selecting the crossover probability and mutation probability in geneti... more To solve the difficulty in selecting the crossover probability and mutation probability in genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of crossover probability and mutation probability in a fuzzy reasoning system is proposed, and it is used in the parameter optimization design of a two-degree-of-freedom PID controller. According to the experiment and simulation results, classic genetic algorithm evolution tends to halt after 37 generations, with a fitness value of 7.135, whereas fuzzy genetic algorithm evolution tends to stop after 20 generations, with a fitness value of 7.486. The 2-DOF PID controller that was created can give the system strong target value following and interference suppression features at the same time.
Power systems with environmental and economic constraints are prone to voltage instability as ope... more Power systems with environmental and economic constraints are prone to voltage instability as operating under stressed conditions. Load characteristics and dynamics of power system components acquire an essential role in the phenomena of voltage instability and voltage collapse. Therefore, voltage stability analysis requires better knowledge and modeling of the power system components for accurate status of voltage stability margins at current operating conditions. In this paper, a brief review of load models developed so far utilized for power flow and stability analysis is given. The effect of load types on static voltage stability in view of line stability indices has been investigated using polynomial load model. Load flow results of PSAT for IEEE 30 bus system and MATLAB programming is done to obtain the results. The results show that constant power types of loads have minimum stability margins as expected.
To solve the difficulty in selecting the crossover probability and mutation probability in geneti... more To solve the difficulty in selecting the crossover probability and mutation probability in genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of crossover probability and mutation probability in a fuzzy reasoning system is proposed, and it is used in the parameter optimization design of a two-degree-of-freedom PID controller. According to the experiment and simulation results, classic genetic algorithm evolution tends to halt after 37 generations, with a fitness value of 7.135, whereas fuzzy genetic algorithm evolution tends to stop after 20 generations, with a fitness value of 7.486. The 2-DOF PID controller that was created can give the system strong target value following and interference suppression features at the same time.
Power systems with environmental and economic constraints are prone to voltage instability as ope... more Power systems with environmental and economic constraints are prone to voltage instability as operating under stressed conditions. Load characteristics and dynamics of power system components acquire an essential role in the phenomena of voltage instability and voltage collapse. Therefore, voltage stability analysis requires better knowledge and modeling of the power system components for accurate status of voltage stability margins at current operating conditions. In this paper, a brief review of load models developed so far utilized for power flow and stability analysis is given. The effect of load types on static voltage stability in view of line stability indices has been investigated using polynomial load model. Load flow results of PSAT for IEEE 30 bus system and MATLAB programming is done to obtain the results. The results show that constant power types of loads have minimum stability margins as expected.
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Papers by Priti Prabhakar