期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：252
期号：3
页码：1-12
DOI：10.1088/1755-1315/252/3/032065
出版社：IOP Publishing
摘要：A new simplex-simulated annealing (SSA) approach for optimal design of Power System Stabilizer (PSS) parameters in multi-machine power systems is proposed. This approach formulates the PSS design as a nonlinear programming problem using an eigenvalue-based objective function. For purposes of robust PSS design, several representative operating conditions are applied in construction of the objective function. One of advantages of the SSA approach is that, due to incorporation of the downhill simplex method into the Simulated Annealing (SA) method, it can significantly reduce the heavy computation burden of the SA method. Case studies on the 10-generator 39-bus New England test power system show that the effectiveness and efficiency of PSS optimal design have been tremendously improved by using the SSA approach.
