Single Machine Connected Infinite Bus system tuning coordination control using biogeography-based optimization algorithm
In this paper, the design of hybrid coordinated damping controller (power system stabilizer (PSS) and proportional integral derivative (PID) controller) is articulated as an optimization problem. The objective function J is framed using Integral square error (ISE) and the optimal parameters can be o...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2020
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In this paper, the design of hybrid coordinated damping controller (power system stabilizer (PSS) and proportional integral derivative (PID) controller) is articulated as an optimization problem. The objective function J is framed using Integral square error (ISE) and the optimal parameters can be obtained by minimizing the objective function using the proposed Biogeography Based Optimization (BBO) algorithm. The BBO algorithm is demonstrated to tune the control parameter values of coordinated damping controller. Simulations of proposed design have been performed on Single Machine Infinite Bus (SMIB) power system subjected to a nonlinear load condition with ground fault & 3 ϕ faults to examine its robustness. The simulation results obtained will confirm the effectiveness of proposed algorithm and the impact of stability studies of power system operation under disturbances. The proposed design provides robust dynamic performance and significant improvement in power system stability compared to other methods such as Particle Swarm Optimization (PSO), Adaptation law (AL) and Conventional PSS. © 2019 Faculty of Mechanical Engineering, Belgrade. |
|---|