Abstract:
This paper proposes a decentralised pool-based local
market model for a small energy community, intended to operate
in parallel with an existing energy market, to manage the
unscheduled active-hour (AH) appliances without violating the
day-ahead nodal price of the community. The paper defines
and targets this specific class of appliances with a two-stage
iterative model. Stage-I calculates tentative AH sellers’ schedule
and the clearing price to cater the unscheduled AH buyers’
needs. After getting the consensus from the AH sellers, Stage-II
clears the pool. In every iteration, multiple rounds of information
exchange ensure the maximisation of community-wide socialwelfare in the binary-controlled AH resources’ pool. The proposal
is tested on the MATLAB platform with Gurobi solver using the
Pecan-street’s NewYork dataset, and reveals that the application
of the proposed model has a superior appliance management
performance in a stringent demand response scenario.
