Title :
Comprehensive Real-Time Microgrid Power Management and Control With Distributed Agents
Author :
Colson, Christopher M. ; Nehrir, M. Hashem
Author_Institution :
Electr. & Comput. Eng. Dept., Montana State Univ., Bozeman, MT, USA
Abstract :
Advances in smart grid technology have yet to coalesce into a comprehensive solution integrating the landscape of future power systems. The microgrid concept may offer a solution for combining advanced components and enabling technologies within an infrastructure that must expand to meet emerging demands. As autonomous power system entities, microgrids require robust real-time power management and control to simultaneously operate jointly with the utility, provide reliable service, and help achieve customer-driven objectives utilizing local power system assets. In this paper, a decentralized control architecture for microgrids is presented, along with a simulation environment appropriate for on-going investigations into real-time, agent-based decision-making. Challenges faced by operating self-organizing multi-agent system (MAS) are presented, as well as results for a representative power management scenario for a multi-asset microgrid capable of operating in grid-interconnected or islanded mode. The system and formulations presented demonstrate the viability and capability of decentralized agent-based control for microgrids and illustrate their potential towards achieving smart grid goals.
Keywords :
control engineering computing; decentralised control; distributed power generation; multi-agent systems; power control; power generation control; power generation reliability; power system management; robust control; smart power grids; agent-based decision-making; autonomous power system entities; comprehensive real-time microgrid power control; comprehensive real-time microgrid power management; customer-driven objectives; decentralized agent-based control; decentralized control architecture; distributed agent; grid-interconnected mode; islanded mode; microgrid concept; multiasset microgrid; power system assets; robust control; robust real-time power management; self-organizing MAS; self-organizing multi-agent system; service reliability; smart grid technology; Decision making; Fuels; Generators; Mathematical model; Microgrids; Real-time systems; Distributed generation; microgrid; multi-agent;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2012.2236368