Search

Abstract: This paper describes an algorithm for rescheduling reactive power control variables so as to have an adequate loadability margin for current operating point. Co-ordinated aggregation based PSO (CAPSO) has been used as optimization technique. Two objective functions have been selected for load margin enhancement. One is minimization of total reactive power loss and other considers minimization of incremental reactive power loss. The developed algorithm has been implemented on 14-bus and 57-bus standard test systems. Results obtained have been compared with those obtained using Davidon–Fletcher–Powell’s (DFP) optimization technique. CAPSO performance is better over DFP method. It has been observed that incremental loss minimization formulation does not require additional voltage stability related constraints hence computational time required is less as compared to reactive power loss minimization. Reactive power loss minimization formulation is of significance when limited reactive power source is available. [ABSTRACT FROM AUTHOR]

• New algorithm particle swarm optimization with oscillatory inertia factor with exponential decay. • Simultaneous adjustment of the AVR and PSS parameters through the PSO-OED optimization technique. • Better adjustment of the AVR and PSS providing a better dynamic performance and transient system response. • New objective function capable of analyzing the performance of several generators simultaneously. This paper presents a new algorithm for simultaneous tuning of the optimal parameters of Automatic Voltage Regulator (AVR) and the Power System Stabilizer (PSS) using a new technique of Particle Swarm Optimization with Oscillating Exponential Decay (PSO-OED). The proposed algorithm was applied both the Single-Machine Infinite-Bus (SMIB) Power System and the 9-Bus Multi-Machine Power System. The results of the simulation show that the proposed method is efficient and guarantees an improvement in the dynamic stability and convergence rate of the simulations. [ABSTRACT FROM AUTHOR]