A Novel Hybrid Demand Response Model under a Distributed Reputation Framework

Abstract

Demand response (DR) is an effective way to alleviate the pressure of system dispatching during peak load periods. DR models are generally divided into price-based DR models and incentive-based DR models. However, a single type of DR models might bring new imbalance between supply and demand in view of the strong subjectivity in DR participation behavior. To comprehensively consider the influence of various factors on DR behavior and regulate the behavior of DR participants, this paper proposes a hybrid DR model under a distributed reputation framework. In this model, the power consumption of a participating power user is subject to dynamic pricing, and rewards and penalties are given according to the actual response capacity. Reputation scores of users and aggregators play an important role in the prioritization of invitation confirmation, task allocation, and discount calculation. This model is shown to be helpful in increasing the benefits of participants with good reputation by simulation.