| Title: | "Multi-agent Model Predictive Control of Nonlinear Interconnected Hydro-Thermal System Load Frequency Control Based on Bat Inspired Algorithm";
International Journal of Scientific Research engineering Technology (IJSRET) , Volume 1, Issue 5, Sept.-2015, ISSN (Online): 2395-566X , pp. 90 – 99
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| Authors: | M. Elsisi, M. Soliman, M. A. S. Aboelela, W. Mansour |
| Year: | 2015 |
| Keywords: | Not Available |
| Journal: | International Journal of Scientific Research engineering Technology (IJSRET) |
| Volume: | 1 |
| Issue: | 5 |
| Pages: | 90 - 99 |
| Publisher: | Not Available |
| Local/International: | International |
| Paper Link: | Not Available |
| Full paper | Not Available |
| Supplementary materials | Not Available |
| Abstract: |
Bat Inspired Algorithm (BIA) has recently been explored to develop a novel algorithm for distributed optimization and control. This paper proposes a multi-agent Model Predictive Control (MPC) of Load Frequency Control (LFC) based on BIA to enhance the damping of oscillations in a two-area power system. A two-area hydro-thermal system is considered to be equipped with multi-agent MPC. The proposed power system model considers generation rate constraint (GRC), dead band, and time delay imposed to the power system by governor-turbine, thermodynamic process, and communication channels. BIA is utilized to search for optimal controller parameters by minimizing a time-domain based objective function. The performance of the proposed controller has been evaluated with the performance of the conventional PI controller based integral square error technique , and PI controller tuned by GA in order to demonstrate the superior efficiency of the proposed multi-agent MPC tuned by BIA |
