Parameter Optimization of PSS Using a Novel Simplex-Simulated Annealing Approach

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Chai, Yanhong^1 ; Chai, Jingxuan^2

Ningxia College of Finance and Economics, Ningxia

750000, China^1

China University of Mining and Technology (Beijing), Beijing

100083, China^2

关键词: Downhill simplex method;    Effectiveness and efficiencies;    Eigenvalue based objective function;    Multi machine power system;    Nonlinear programming problem;    Operating condition;    Parameter optimization;    Power system stabilizer (PSS);   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/3/032065/pdf
DOI  :  10.1088/1755-1315/252/3/032065

来源: IOP

【 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.