Distributed optimal power flow and the multi-agent system for the realization in cyber-physical system

Abstract

The requirement for coordination of distributed energy resources in the future power system provides an incentive to move from the current high level of centralized control to a more distributed control paradigm. In this paper, an agent-based distributed optimal power flow is proposed to optimize the operation of the power system. The optimal power flow problem is built in the general consensus optimization formulation in matrix based formulation. The agent is then designed to realize the operation of the multi-agent system in the cyber-physical system. Agents have ability of collecting local measurement data, communicating with neighbor agents and implementing alternating direction method of multiplier. Each agent accesses to limited information but can give decision to solve the global problem. The performance is evaluated on the IEEE 9 bus by using a cyber Hardware-in-the-Loop platform with a cluster of hardware agents, a real-time simulator OPAL-RT and a real communication network.