Coordinated Design of DIPSS and CES Using MDEA for Stability Enhancement: Jawa-Bali Indonesian Power Grid Study Case

Abstract

Stability of power system is one of the important keys to produce high reliability of power system. The power system must maintain the stability under small or large disturbance. However, with the increasing the load demand over the years making the power system stability is vulnerable to unstable condition when there is a disturbance. Hence adding additional controller such as dual input power system stabilizer (DIPSS) is essential. DIPSS could give a signal controller to the excitation system to produce appropriate flux when there is a disturbance emerge. However, DIPSS alone is not enough to handle the small and large disturbance as DIPSS is not directly giving a damping to the source of disturbance. Hence, adding capacitor energy storage (CES) can be solution to handle this problem. CES can give a fast active power when there is load changing. This paper proposed a coordinated design between CES dan DIPSS using modified differential evolution algorithm (MDEA). Jawa-Bali Indonesian Power Grid is used as the test system. Non-linear time domain simulation is carried out to investigate the efficacy of the proposed controller method. In addition, transient kinetic energy (TKE) assessment is carried out to investigate how much kinetic energy produced by the system. From the simulation results, it is found that the proposed method giving a better stability indicated by the smallest overshoot and the fastest settling time compared to the other scenarios. Furthermore, it is found that the proposed method controller could give a smallest TKE value (0.0000004076) compared to the other scenarios.

Oscillation Damping Emulation Using Superconducting Magnetic Energy Storage based on Sine Cosine Algorithm on Jawa Indonesian Power Grid

“…Since the engine has a torque component that is proportional to the angular velocity, the complete equation of rotor motion is expressed as Eq. ( 11) [21].…”

“…In addition, the electric torque will increase with increasing machine angle and stator flux. This process can be captured through Eq (12) [21].…”

“…The effect of a small load changes is also felt by the armature winding so that the field E'q changes by ∆E'q, the magnitude of the change in field voltage is influenced by changes in the machine angle (∆δ) and if the excitation field voltage is constant (∆EFD=0), then the mathematical representation of this phenomena can be described using Eq. ( 17) [21].…”

“…The change in terminal voltage due to the changes in machine angle and changes in field voltage can be expressed using Eq. ( 20) [21].…”

Intelligent voltage controller based on firefly algorithm for DC-DC boost converter

“…In this case, the overshoot of the rectifier was damp by designing a PI controller through a differential evolution algorithm. The research of [12] also emphasized the design coordinated controller between the capacitor energy storage and dual-input power system stabilizer, regarding an improved differential evolution algorithm. Moreover, the application of the flower pollination algorithm was used in designing superconducting magnetic energy storage (SMES) for the enhanced dynamic stability of a power system [13].…”