A Novel Agent-Based Distributed Power Flow Solver for Smart Grids

The goal of this paper is to present a novel agent based distributed power flow solver for general unbalanced radial distribution systems utilizing multiagent system communication. The distributed solver makes use of intelligent agents, which possess three key characteristics, namely autonomy, local view, and decentralization. Comprehensive models of distribution systems will be considered, including lines, switching devices, voltage regulators, transformers, shunt capacitors, distributed energy storage systems, and different load types. The distributed intelligent agents will use the backward/forward sweep technique to iteratively solve the power flow. A distinguishing feature of the new solver is that it deals with the problem from a completely distributed perspective. The proposed solution algorithm is evaluated on three standard IEEE distribution test systems with very promising results.