Distributed state estimation for multi-agent based active distribution networks

Along with the large-scale implementation of distributed generators, the current distribution networks have changed gradually from passive to active operation. State estimation plays a vital role to facilitate this transition. In this paper, a suitable state estimation method for the active network design is proposed. The method takes advantages of the multi-agent system technology to compute iteratively local state variables by neighbors´ data measurements. The accuracy and complexity of the proposed estimation are investigated through on-line simulation with a 5-bus test network.