Aggregator-Driven Novel Battery Scheduling: Orchestrating Demand in a Grid Dominated by Distributed Photovoltaics and Electric Vehicles

This paper presents a novel methodology to schedule community-level aggregator-controlled battery energy storage (BESS) to counteract the variability of distributed photovoltaic (D-PV) generation and electric vehicle (EV) demand. There is an increasing need to address the variability introduced by D-PV and EV adoption. This variability can lead to challenges like increased operation complexities and reduced efficiency of power distribution. This paper introduces a novel BESS scheduling approach tailored for community-level aggregators. The goal is to shape the grid operator’s demand profile, achieving valley filling and peak shaving without compromising operational costs. The scheduling algorithm is a convex optimisation problem, which was solved using the interior point method to intelligently decide the charging and discharging rate at each time interval. Simulator tests show significant cost reductions of up to 50%. The study shows that the proposed BESS scheduling algorithm can help to create an operator-friendly demand curve while minimising the aggregator cost.