Distributed optimization for economic power dispatch with event-triggered communication

Abstract

This paper focuses on the economic power dispatch problem in a smart grid by using the distributed consensus with event-triggered communication mechanism based on continuous-time multi-agent systems over balanced directed networks, where there are many generation units working cooperatively to achieve an optimal solution. The event-triggered communication mechanism means that the information transmission between agents is triggered by event instead of time. The triggering condition and algorithm for each agent are fully decentralized. At each instant time, each agent updates its state by employing the states collected from itself and its neighboring agents at their last triggering time. Finally, two examples are given to analyze the feasibility of above proposed algorithm.