AGC of Multi-Microgrid System Using Modern Heuristically Optimized Controllers
| dc.contributor.author | Sahoo, Manoj Kumar | |
| dc.date.accessioned | 2026-10-13T10:43:40Z | |
| dc.date.available | 2026-10-13T10:43:40Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Automatic Generation Control is a basic and important computer based real-time control in the interconnected power system. There are two basic control approaches in AGC one is primary control which is referred as governing control mechanism and another one is secondary control. Recent trend of use of distributed generation including renewable sources and energy storage devices, that gives rise to the development of microgrid. Because of quick change in burden there is a mismatch occurred in between source side and demand side. In this thesis AGC of two area multi-micro-Grid system and three area multi microgrids with higher degree of freedom controller i.e. 2-DOF-PID controllers are considered for study. The parameters of the controllers is optimized with modern me-ta heuristic algorithms like Firefly Algorithm (FA) and Mine Blast Algorithm (MBA) to find the better one as optimization technique. The investigation of the comparative results between FA and MBA algorithms reveals that the MBA is better than the other in terms of convergence rate and better quality of solutions in two area multi-micro-Grid system. Then, higher degree of freedom controller, 2-DOF-PID controller is considered for the same study system and the controller gains are tuned using MBA (better of FA and MBA) and the dynamic responses are obtained for comparison with PID controller. From the results it can be inferred that the proposed 2 DOF-PID controller is better than PID controller in terms of peak overshoot, settling time and number of oscillations. Then the sensitivity analysis of the proposed controller validates that the proposed controller optimized at nominal conditions is quite competent to give good reasonable performance at new operating conditions and need not be optimized again and again for every new conditions and hence quite robust. Further, the same 2 DOF-PID controller is used in three area multi-micro-Grid system and optimized with MBA algorithm. The results demonstrate the proposed MBA optimized controller performs better than PID controller in three area too and the sensitivity analysis confirms the robustness of the proposed controller in this study system too. | |
| dc.identifier.uri | http://nits.ndl.gov.in/handle/123456789/236 | |
| dc.language.iso | en | |
| dc.publisher | Department of Electrical Engineering, NITS | |
| dc.relation.ispartofseries | D1038 | |
| dc.title | AGC of Multi-Microgrid System Using Modern Heuristically Optimized Controllers | |
| dc.type | Thesis |