Robust Design of Multi-Machine Power System Stabilizers using Clonal Selection Algorithm
G. Naresh1, M. Ramalinga Raju2, M. Krishna3

1Dr. G. Naresh, Department of Electrical and Electronics Engineering, Pragati Engineering College (Autonomous), Surampalem, East Godavari District, Andhra Pradesh, India.
2Dr. M. Ramalinga Raju, Department of Electrical and Electronics Engineering, University College of Engineering Kakinada (Autonomous), Kakinada, East Godavari District, Andhra Pradesh, India.
3Mr. M. Krishna, Department of Electrical and Electronics Engineering, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, Andhra Pradesh, India.

Manuscript received on 12 November 2017 | Revised Manuscript received on 28 November 2017 | Manuscript published on 30 November 2017 | PP: 31-36 | Volume-6 Issue-5, November 2017 | Retrieval Number: E1709116517©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Optimal design of multi-machine Power System Stabilizers (PSSs) using Artificial Immune-based optimization technique, Clonal Selection Algorithm (CSA), is presented in this paper. The proposed approach employs CSA to search for optimal parameter settings of a widely used conventional fixed-structure lead-lag PSS (CPSS). The parameters of PSS are tuned using the proposed clonal selection algorithm to simultaneously shift the undamped and lightly damped electromechanical modes of all plants to a prescribed zone in the s-plane. A multi-objective problem is formulated to optimize a composite set of objective functions comprising the damping factor and the damping ratio of lightly damped electromechanical modes. Incorporation of CSA as a derivative-free optimization technique in PSS design significantly reduces the computational burden. The main advantage of the proposed approach is its robustness to the initial parameter settings. In addition, the quality of the optimal solution does not rely on the initial guess. The performance of the proposed CSAPSSs under different loading conditions and system configurations is investigated on New England New York 16-machine 68-bus power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness of the proposed CSAPSSs over conventional power system stabilizer (CPSS) to damp out the local as well as the inter area modes of oscillations under different operating conditions.
Keywords: Clonal selection algorithm, Damping, Electromechanical oscillations, Power system stabilizer

Scope of the Article: Low-power design