Packetized Energy Management Controller for Residential Consumers

• DOI: 10.48550/arxiv.2108.08535
• Publication Date: 2021-01-01
• Authors: Hafiz Majid Hussain; Ashfaq Ahmad; Arun Narayanan; Pedro H. J. Nardelli; Yongheng Yang
• Keywords: Demand Response; Energy management system

In this paper, we investigate the management of energy storage control and load scheduling in scenarios considering a grid-connected photovoltaic (PV) system using packetized management. The aim is to reduce an average aggregated cost through proposed \textit{packetized controller} household consumption, procurement price, delays, PV self-sufficiency via generated renewable battery degradation. approach solves joint optimization problem established heuristics, namely genetic algorithm (GA), binary particle swarm (BPSO), differential evolution (DE). Additionally, performances heuristic algorithms are also compared terms effectiveness with delay constraints, transactions, degradation cost. Case studies have been provided demonstrate extensively evaluate algorithms. numerical results show that controller can considerably up 4.7\%, 5.14\%, 1.35\% by GA, BPSO, DE, respectively while meeting demand delays requirements.