Integration of deterministic and game-based energy consumption scheduling for demand side management in isolated microgrids

Abstract

Abstract In this work, a group Autonomous Demand-Side Management (ADSM) program for day-ahead scheduling of energy consumption profiles in an isolated microgrid is proposed, aiming to reduce the overall energy generation cost. The proposed program is applied to a Multiple-Sources Multiple-Customers (MSMC) system, consisting of a shared centralized energy source, distributed Renewable Energy Sources (RESs) and Distributed Storage Elements (DSEs). The proposed program integrates a Deterministic Energy Management (DEM) strategy with a Tabu Search (TS)-based scheduling game to reduce the computational complexity while acknowledging the intermittent nature of RESs as well as the level of customers’ comfort. Moreover, an equitable billing mechanism for charging customers based on their energy consumption and adherence to their assigned schedules is implemented. Simulations of the proposed program reveal that the TS-based algorithm offers similar energy generation costs and peak-to-average energy ratio (PAER) to those obtained with a benchmark Branch and Bound (BB) algorithm, with a significantly lower computational complexity, while being superior in computational complexity, energy costs and PAER to an algorithm based on Parallel Monte Carlo Tree Search (P-MCTS). Furthermore, the proposed integrated DEM and TS-based scheduling strategy in an MSMC system is demonstrated to offer 48% reduction in the one-day energy generation costs, compared to a SSMC system managed using a TS-based scheduling game alone.