Distributed Energy Optimization using Consensus Theory Approach

This paper presents a consensus based solution for multi-objective economic dispatch (ED) of a distributed power network. In the recent years with involvement of renewable energy, microgirds and distributed generators (DG’s), the conventional power system is becoming more and more distributed and clean. Therefore, distributed methods for solving ED problem are gaining more importance. The problem in a distributed network is to satisfy the power balance constraint in a environment friendly way using consensus algorithm. As, in the distributed network it is hard to get power mismatch without a central controller. This paper presents a frequency control method combined with graph theory based consensus protocol to satisfy the power balance constraint. Two different types of control strategies are adopted, first PID based controller is used and then Neural Network (NN) based controller. Line losses are also integrated with the consensus protocol. Simulation results are validated for load variations and line losses model in the final section.