Earticle

초록

영어

In terms of damping low frequency oscillation, power system stabilizer(PSS) plays a very key role. However, in terms of PSS capability exploitation, it is quite important to select the suitable parameters assignment. Different from traditional optimization algorithms with eigenvalue analysis based and with system damping ratio as the aim function, in this paper a new PSS parameters method based on the Polymorphic Bacterial Chemotaxis(PBC) algorithm is presented for PSS parameters optimization. According to the time multiplied absolute error integral criterion (ITAE criteria), this paper chooses the ability of tracking a given value with minimum error of system output as the objective function. Thus the whole process of the disturbed system is considered. Finally, Eigenvalue analysis and nonlinear time-domain simulation are conducted to verify the feasibility and effectiveness of the proposed method.

목차

Abstract
 1. Introduction
 2. Mathematics Model
  2.1. Model Description
  2.2. Aim Function and Constraints
 3. PBC Algorithm and Improvement
  3.1. Bacterial Colony Chemotaxis Algorithm
  3.2. Bacterial Perception Process
  3.3. BCC Algorithm Improvement
  3.4. Multi-group PBC Algorithm
 4. PSS Parameters Optimization Using PBC Algorithm
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Hongsheng Su [ School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605