Bijective Differential Search Algorithm for Robust Design of Damping Controller in Multimachine Power System

Abstract

Low frequency oscillation (LFO) is a serious threat to the interconnection of power system and its safe operation. In this paper, optimum damping performances over LFO is achieved by implementing Bijective Differential Search Algorithm (B-DSA) to large interconnected power system. Conventional two stages lead-lag compensator is optimized as the Power System Stabilizer (PSS) and Linear Time Invariant (LTI) State Space system models are used to conduct stability analysis of power system. The tuning problem of PSS in multimachine system was formulated as a multi-objectives function. The simulations are conducted in 5-AREA 16 Machine test power system for severe system fault in order to verify the robust design of damping controller. The obtained results are compared with standard DSA optimization technique. The findings show the improved damping achieved by B-DSA than DSA algorithm. The settling times achieved using B-DSA based designed PSSs are 3.74sec and 4.57sec for local mode and inter-area mode of oscillations respectively. The successful damping over oscillation modes of LFO justifies the proposed technique is efficient for the improvement of power system security in adverse condition.

Adaptive differential search algorithm with multi-strategies for global optimization problems

“…Current research on the development of DSA lies in two distinct directions: (1) novel strategies are proposed to improve the search capability [30][31][32], and (2) various techniques are hybridized to avoid premature convergence [33][34][35][36]. In regard to the first direction, efforts were paid to improve DSA's search capability by adding strategies.…”

“…One of the research interests is hybridization of DSA with other strategies to boost search capability. A search direction based on stochastic permutation of original population was hybridized with DS to solve the low-frequency oscillation problem [33]. Liu [35] proposed discrete solution generation and feasible solution production to replace the original methods to solve various 0-1 multidimensional knapsack problems.…”

Open pollution routing problem of logistics distribution in medical union based on differential search algorithm

“…Chen et al 31 used a Latin hypercube sampling method for initialization and combined DSA with simplex methods for search. Furthermore, the low-frequency oscillation problem was solved by combining the search direction based on random permutation of the original population with DSA 32 . By introducing different search strategies helps to improve the performance of algorithm on different problems 33 , so two strategies for DSA are considered and their effectiveness is experimentally confirmed in this paper.…”