Load Scheduling of Smart Net-Zero Residential Buildings Based on Pandemic Situation

• DOI: 10.3390/electronics13050863
• Publication Date: 2024-02-23T11:07:39Z
• Authors: S. M. Mahfuz Alam; Mohd. Hasan Ali
• Keywords: Demand Response

Load scheduling is an effective way of utilizing loads smart residential buildings according to the preferences inhabitants or grid demands, while reducing cost energy. This work proposes objective functions for load confine energy within consumers’ preference range keeping consumption closer demand as possible, minimize system loss during normal and pandemic condition such COVID-19 periods, fulfilling unique features a net-zero building. The proposed function implemented by considering realistic power cost, levelized renewable sources, battery, incentives offered utility existing in California, USA. In addition three different types days working days, weekends situations, brown out outages are considered operating conditions. Particle swarm optimization (PSO) utilized all Two terms that account total savings delayed/scheduled over fixed time horizon formulated performance indices illustrate effectiveness scheduling. All cases optimized Paticle Swarm Optimization non-optimized systems simulated MATLAB environment. It evident from simulation results very efficient tackling resources, maximize shifting later hours situations buildings. Moreover, it equally responding any emergency crisis which not literature so far. cases, index also validates function-based