Genetic Algorithm based controllers for Robust stability Enhancement of interconnected Power System with wind power penetration
| Author(s) | : | Bhavani Reddy, P Amrutha |
| Institution | : | Department of Electrical & Electronics Engineering, M.Tech Student, Sri Krishnadevaraya University, Ananthapuramu-515003 |
| Published In | : | Vol. 7, Issue 7 — July 2020 |
| Page No. | : | 78-85 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This work proposes genetic algorithm-based power system stabilizers for conventional generators and geneticalgorithm-based PI controllers for double fed induction generators (DFIGs) for enhancing dynamic stability of interconnected power system. This approach is developed to examine the robust stability analysis of power systems, such aspower systems with wind power penetrations and fault conditions. The proposed approach has several advantagescompared with our previous work. In the proposed method the parameters of DFIG controllers and power systemstabilizers are tuned using genetic algorithm by maximizing fitness function, this function is formulated as a reciprocal ofintegral time area error (ITAE) of speed deviations of generators. Proposed controller is tested on a classical 4-generator 11-bus test power system, performance is compared with new set approach (Km theory). Results demonstratedthat the proposed controller is effectively damping the oscillations compared with new set approach.
Bhavani Reddy, P Amrutha, “Genetic Algorithm based controllers for Robust stability Enhancement of interconnected Power System with wind power penetration”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 7, pp. 78-85, July 2020.
