Resident-Centric Distributed Community Energy Management System

Abstract

This study presents a resident-centric distributed community energy management system (CEMS). More specifically, the proposed resident-centric distributed CEMS allows residents to schedule their appliances autonomously, without the need to collaborate with the community and to consider whether their appliance scheduling is optimal from the perspective of the entire community. The central controller in the proposed CEMS will then determine a solution that is optimal for the entire community by dispatching the community's distributed energy sources according to the appliance scheduling of residents. In other words, the proposed distributed resident-centric CEMS allows residents to act autonomously while securing the collective goals of the community to a certain extent. In this paper, the collective goals of the community include participating in incentive-based demand response (IBDR) events at a specific time interval, and decreasing the total electricity cost of the community in response to time-varying electricity prices. The proposed distributed resident-centric CEMS is developed using the concept of distributed optimization and mixed-integer linear programming. Different types of public loads are incorporated into the proposed framework including stoppable and deferrable public loads. The simulation results show that the proposed framework dispatches power optimally.

Improvement of Economic Integration of Renewable Energy Resources through Incentive-Based Demand Response Programs

“…Moreover, IBDR can be easily integrated into LSEs [16,17]. Some examples of IBDR programs taking the residential customers into account are as follows: In [18], an IBDR is proposed that establishes an energy management system for a community of the domestic load and allows the participants to schedule their own appliances with no need to acquire the permission of the system collaborator, while the collaborator manages an energy storage for the entire community to purchase electricity when the electricity price is low. In [19], a bi-level framework for decision-making is proposed in which several DR providers compete in a multi-leader and multi-follower game.…”