Abstract:

Demand-side flexibility management (DSFM) aims to adjust the demand of a consumer community, so as to match energy supply. However, in case of multiple energy sources available at the customer premises, DSFM of one energy source may impact the energy demand vector of another. Moreover, the participation of one consumer in the flexibility event may affect other ones when their financial interests are shared, i.e., by means of a shared energy bill and/or shared energy rewards. In this paper, we define four different mathematical models for DSFM of consumers with shared bill and/or shared flexibility rewards that can use multiple energy sources and have thermal comfort constraints; we study the incentives of consumers for energy flexibility provision and load distribution to the various energy forms. User utility loss, flexibility rewards and/or peak pricing can be accommodated in the energy-flexibility maximization model at a particular slot of interest. We also consider, the case of hidden information on user-utility functions for energy flexibility maximization for which we propose a distributed algorithm. We also consider a model of common multi-energy flexibility objective, e.g., a minimum flexibility, so that flexibility rewards are shared among users in a public goods setting. All mathematical problems defined are solved and studied by means of extensive numerical evaluations.