Reactive power planning with the help of multi-objective genetic algorithm and flexible AC transmission systems devices

Abstract

In this paper power quality of 3-bus solar-based hybrid system has been presented (where one or more than one distribution generator unit is connected to the grid). The injection of solar power into grid-connected systems creates power quality problems such as current consistency, electrical fluctuations, and inefficient power demand. A power quality control strategy based on a real-time self-regulation method for autonomous microgrid operation has been presented. In this paper solar farm design and satisfactory performance tests such as PV-static synchronous compensator (STATCOM) to improve the power quality of grid-based systems have been presented using the MATLAB/Simulink environment. Pulse width modulator (PWM) with proportional-integral derivative (PID) controller used for frequency control, reactive var compensation is used to control voltage profile. Multi-objective genetic algorithm (MOGA) for reactive power planning (RPP) with the objective of reactive power minimization is introduced. The optimization variables are generator voltage, transformer tap changer, and various operational constraints.

A unified power flow controller-based robust damping controller considering time delay in electrical power systems

“…It should be noted that in the study of dynamic stability, the linearized model of the system is used, and in order to design the controllers that dampen fluctuations based on FACTS devices, these devices must be included in the linear model of the system. Among the works in the field of linearization of FACTS devices, we can refer to [44], which deals with the linear modeling of synchronous series compensator (SSSC), static synchronous compensator (STATCOM), and UPFC in single-machine and multi-machine power systems and the modification of the Heffron-Phillips model so that all three devices have reached a similar structure with minor differences for the modified Heffron-Phillips model [1], [3], [10], [15], [17], [22], [25], [27], [31], [45]- [71]. In these articles, several methods have been used to select the feedback signal for the complementary controller.…”