A Distributed Demand Response Algorithm and its Application to Campus Microgrid

This paper proposed a distributed demand response (DR) strategy for shaving peak load in a campus microgrid. It has been an open issue to address the DR problem in a network of multiple types of buildings, like a campus, where each building is concerned about its own end-users. A decentralized DR model is developed to realize peak load shaving under the incentive of minimizing the affected population caused by the load interruption. It is solved by an alternating direction method of multipliers (ADMM) based DR algorithm considering the complementarity of building consumption patterns. The simulating system based on the consumption data of the University of Connecticut co-generation plant is built to validate the effectiveness of the proposed DR control. It decreases the peak-to-average consumption ratio and lowers the overall dissatisfaction level at end-user side.