Welcome to the InfoSci Platform
Reference Hub1
Automatic Generation Control of Interconnected Power System using Cuckoo Optimization Algorithm

Automatic Generation Control of Interconnected Power System using Cuckoo Optimization Algorithm

Shanchari Laik, Shatabdi Dey, Puja Das, Sneha Sultana, Sourav Paul, Provas Kumar Roy
Copyright: © 2015 |Volume: 4 |Issue: 2 |Pages: 14
ISSN: 2160-9500|EISSN: 2160-9543|EISBN13: 9781466680289|DOI: 10.4018/IJEOE.2015040102
Cite Article Cite Article

MLA

Laik, Shanchari, et al. "Automatic Generation Control of Interconnected Power System using Cuckoo Optimization Algorithm." IJEOE vol.4, no.2 2015: pp.22-35. http://doi.org/10.4018/IJEOE.2015040102

APA

Laik, S., Dey, S., Das, P., Sultana, S., Paul, S., & Roy, P. K. (2015). Automatic Generation Control of Interconnected Power System using Cuckoo Optimization Algorithm. International Journal of Energy Optimization and Engineering (IJEOE), 4(2), 22-35. http://doi.org/10.4018/IJEOE.2015040102

Chicago

Laik, Shanchari, et al. "Automatic Generation Control of Interconnected Power System using Cuckoo Optimization Algorithm," International Journal of Energy Optimization and Engineering (IJEOE) 4, no.2: 22-35. http://doi.org/10.4018/IJEOE.2015040102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Automatic generation control (AGC) is added in power system to ensure constancy in frequency and tie-line power of an interconnected multi-area power system. In this article, proportional integral (PI) controlled based AGC of two-area hydrothermal system is solved by cuckoo optimization algorithm (COA). It is one of the most powerful stochastic real parameter optimization in current use. The design objective is to improve the dynamic performance of the interconnected system following a disturbance. System performance is examined considering 1% step load perturbation in thermal area with generation rate constraints. The results are compared with BBO, GA and DE to show the effectiveness of the proposed method. Computed results shows that the proposed method effectively improve the performance of the objective function with corresponding minimization of the overshoot, undershoot and settling time to reach steady state.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.