TY - GEN
T1 - Load Shedding Frequency Management of Microgrids Using Hierarchical Fuzzy Control
AU - Keivanimehr, Mehran
AU - Chamorro, Harold R.
AU - Zareian-Jahromi, Mehdi
AU - Segundo-Sevilla, Felix Rafael
AU - Guerrero, Josep M.
AU - Konstantinou, Charalambos
N1 - KAUST Repository Item: Exported on 2021-10-14
PY - 2021
Y1 - 2021
N2 - Frequency control is one important issue in autonomous operating mode of Microgrids (MGs). In stand-alone microgrids, when generation power is not enough, it is inevitable to shed some parts of the load. This paper presents a decentralized fuzzy controller for optimal load shedding in MGs. The proposed controller which is separately installed for each load center uses a hierarchical fuzzy controller approach to make the optimal decision. Three inputs of the hierarchical fuzzy controller are the power of non-critical load, the load energy not supplied and its interruption frequency. From a specific time of the past, these inputs are calculated for all load centers, and updated periodically. The non-critical part of the loads which can be shed to survive network. Each decentralized controller of the loads has a bilateral communication with the microgrid central controller to transact some information, periodically. Simulation results on a typical microgrid with several load buses showing the effectiveness of the proposed method.
AB - Frequency control is one important issue in autonomous operating mode of Microgrids (MGs). In stand-alone microgrids, when generation power is not enough, it is inevitable to shed some parts of the load. This paper presents a decentralized fuzzy controller for optimal load shedding in MGs. The proposed controller which is separately installed for each load center uses a hierarchical fuzzy controller approach to make the optimal decision. Three inputs of the hierarchical fuzzy controller are the power of non-critical load, the load energy not supplied and its interruption frequency. From a specific time of the past, these inputs are calculated for all load centers, and updated periodically. The non-critical part of the loads which can be shed to survive network. Each decentralized controller of the loads has a bilateral communication with the microgrid central controller to transact some information, periodically. Simulation results on a typical microgrid with several load buses showing the effectiveness of the proposed method.
UR - http://hdl.handle.net/10754/672839
UR - https://ieeexplore.ieee.org/document/9559468/
U2 - 10.23919/WAC50355.2021.9559468
DO - 10.23919/WAC50355.2021.9559468
M3 - Conference contribution
SN - 978-1-6654-2109-6
BT - 2021 World Automation Congress (WAC)
PB - IEEE
ER -