TY - GEN
T1 - Multi-agent Control Strategy for Microgrids using Petri Nets
AU - Chamorro, Harold R.
AU - Pazmino, Camilo
AU - Paez, David
AU - Jimenez, Fernando
AU - Guerrero, Josep M.
AU - Sood, Vijay K.
AU - Martinez, Wilmar
PY - 2020/6
Y1 - 2020/6
N2 - Smart Microgrids require innovative methods to provide decentralized multi-layer autonomous control in order to activate their elements to operate efficiently. This paper presents a coordinated control scheme based on multi-agent systems to improve the operation of a microgrid (MG) through Petri Nets (PNs). Two control layers are proposed: in the lower control layer, the switching of loads, storage devices, and distributed generation devices (DGs) are implemented; while in the upper layer, the coordinating agents consider the demand response and price dynamics in order to optimize the operation of the system. The MG includes photo-voltaic (PV) generation, wind power, and a battery storage system. Furthermore, the studied system has two MGs, connected through a DC bus linked to the grid. The coordinating system considers the operation of DGs, the charge and discharge of storage devices, the critical loads, under optimization criteria using energy prices. Switching controls for DG devices and loads are handled as discrete events and will be modeled using PNs.
AB - Smart Microgrids require innovative methods to provide decentralized multi-layer autonomous control in order to activate their elements to operate efficiently. This paper presents a coordinated control scheme based on multi-agent systems to improve the operation of a microgrid (MG) through Petri Nets (PNs). Two control layers are proposed: in the lower control layer, the switching of loads, storage devices, and distributed generation devices (DGs) are implemented; while in the upper layer, the coordinating agents consider the demand response and price dynamics in order to optimize the operation of the system. The MG includes photo-voltaic (PV) generation, wind power, and a battery storage system. Furthermore, the studied system has two MGs, connected through a DC bus linked to the grid. The coordinating system considers the operation of DGs, the charge and discharge of storage devices, the critical loads, under optimization criteria using energy prices. Switching controls for DG devices and loads are handled as discrete events and will be modeled using PNs.
KW - Distributed Generation
KW - Intelligent Distributed Control
KW - Multi-agent Systems
KW - Petri-Nets
KW - Smart Microgrids
UR - http://www.scopus.com/inward/record.url?scp=85089546487&partnerID=8YFLogxK
U2 - 10.1109/ISIE45063.2020.9152455
DO - 10.1109/ISIE45063.2020.9152455
M3 - Article in proceeding
AN - SCOPUS:85089546487
T3 - IEEE International Symposium on Industrial Electronics
SP - 1141
EP - 1146
BT - 2020 IEEE 29th International Symposium on Industrial Electronics, ISIE 2020 - Proceedings
PB - IEEE
T2 - 29th IEEE International Symposium on Industrial Electronics, ISIE 2020
Y2 - 17 June 2020 through 19 June 2020
ER -