A scheduling framework for a multi-agent active distribution network in presence of renewable energy sources

Abstract

In a multi-agent active distribution network, each agent schedules its electrical network independently to increase its profit. The high penetration level of renewable energy sources such as wind and solar power, may disturb the electrical balance of supply and demand and cause overvoltage in the grid. This study presents a decentralized scheduling approach for managing energy and reactive power transactions between the agents considering their independence and privacy. Using the proposed framework, the agents can increase their profit by exchanging active and reactive power with their neighbours, while all the technical constraints such as the allowed voltage limit of the buses are satisfied. To prove the effectiveness of the suggested technique, a multi-agent active distribution network including 11 independent agents is simulated with a high penetration of renewable energy. The simulation results illustrate the efficiency of the suggested approach from two technical and economic points of view.