Enhancement of dynamic stability of power system by optimal STATCOM control action

Controlled islanding has been proposed as a last resort action to stop blackouts from happening when all standard methods have failed. Successful controlled islanding has to deal with three important issues: when, and where to island, and the evaluation of the dynamic stability in each island after islanding. This paper provides a framework for preventing wide-area blackouts using wide area measurement systems (WAMS), which consists of three stages to execute a successful islanding strategy. Normally, power system collapses and blackouts occur shortly after a cascading outage stage. Using such circumstances, an adapted single machine equivalent (SIME) method was used online to determine transient stability before blackout was imminent, and was then employed to determine when to island based on transient instability. In addition, SIME was adopted to assess the dynamic stability in each island after islanding, and to confirm that the chosen candidate island cutsets were stable before controlled islanding was undertaken. To decide where to island, all possible islanding cutsets were provided using the power flow (PF) tracing method. SIME helped to find the best candidate islanding cutset with the minimal PF imbalance, which is also a transiently stable islanding strategy. In case no possible island cutset existed, corresponding corrective actions such as load shedding and critical generator tripping, were performed in each formed island. Finally, an IEEE 39-bus power system with 10 units was employed to test this framework for a three-stage controlled islanding strategy to prevent imminent blackouts.

Download Full-text

Radial basis Function Neural Network based STATCOM controller for power system dynamic stability enhancement

India International Conference on Power Electronics 2010 (IICPE2010) ◽

10.1109/iicpe.2011.5728112 ◽

2011 ◽

Cited By ~ 1

Author(s):

Subir Datta ◽

A. K. Roy

Keyword(s):

Neural Network ◽

Power System ◽

Radial Basis Function ◽

Dynamic Stability ◽

Basis Function ◽

System Dynamic ◽

Radial Basis ◽

Stability Enhancement ◽

Power System Dynamic Stability

Download Full-text

Bat Intelligence For Tunning Power System Stabilizer At Barru Power Plant

JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) ◽

10.21070/jeee-u.v2i2.1276 ◽

2018 ◽

Vol 2 (1) ◽

pp. 16-20

Author(s):

Muhammad Ruswandi Djalal ◽

Andareas Pangkung ◽

Sonong Sonong ◽

Apollo Apollo

Keyword(s):

Power Plant ◽

Power System ◽

Dynamic Stability ◽

Bat Algorithm ◽

System Dynamic ◽

Power System Stabilizer ◽

Rotor Angle ◽

System Stabilizer ◽

Smart Computing

Changes in load on the power system suddenly, can cause dynamic disruption. This disturbance can not be responded well by the generator, so it can affect the system dynamic stability, such as the occurrence of oscillation speed and rotor angle. Conventional control of excitation and governor, also unable to repair the oscillations, so that additional controllers such as Power System Stabilizer (PSS) are required. In the use of PSS, there are several problems that often arise, namely the correct tuning of PSS parameters. In this research, we proposed a method of smart computing based on bat algorithm, for tuning PSS parameters. From the analysis results can be concluded, the performance performance of generator barru increased with the installation of Power System Stabilizer with optimal PSS parameter, with parameters respectively Kpss = 44.0828, T1 = 0.0284, T2 = 0.0146, T3 = 0.7818, T4 = 1.2816.

Download Full-text