2015
DOI: 10.4028/www.scientific.net/amm.785.424
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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 PS… Show more

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Cited by 2 publications
(3 citation statements)
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References 13 publications
(23 reference statements)
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“…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.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…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.…”
Section: Introductionmentioning
confidence: 99%
“…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.…”
Section: Introductionmentioning
confidence: 99%
“…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.…”
mentioning
confidence: 99%