Abstract
This paper proposes a robust proportional-integral (PI) controller with its parameters designed by constrained population extremal optimization for load frequency control problem of multi-area interconnected. During the process of optimization, the robust performance index is used as fitness function, where linear matrix inequalities technique is employed to describe the H∞ constraint, and the taking error performance requirement such as integral time absolute error is incorporated as another constraint. Three different two-area interconnected power systems are used as test systems to demonstrate the effectiveness of the proposed controller by comparing with other PI control methods and one optimized model predictive control. In addition, in order to investigate the performance of proposed controller for the LFC problem of large scale system, a three-area interconnected power system is used as another test system. The comprehensive experimental results fully demonstrate that the proposed control scheme in this paper performs better than other control strategies on the most considered scenarios under the conditions of load disturbance and parameters uncertainties in terms of system response and control performance indices.
| Original language | English |
|---|---|
| Pages (from-to) | 249-271 |
| Number of pages | 23 |
| Journal | International Journal of Electrical Power and Energy Systems |
| Volume | 105 |
| Early online date | 29 Aug 2018 |
| DOIs | |
| Publication status | Published - Feb 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018 Elsevier Ltd
Funding
This work was partially supported by Natural Science Foundation of China (Grant No. 61573095 ), and Zhejiang Provincial Natural Science Foundation of China (Nos. LY16F030011 and LZ16E050002 ).
Keywords
- Constrained evolutionary optimization
- Load frequency control
- Multi-area interconnected power system
- Population extremal optimization
- Robust PI controller
Fingerprint
Dive into the research topics of 'Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver