A Fuzzy Decision-Maker for Optimal Scheduling of Time- Shiftable Residential Loads in Smart Grids
Hsing-Cheng Liu, Yao-Liang Chung
Journal of Electronic Systems, Vol. 16, No. 1, 2026.
DOI: https://doi.org/10.6025/jes/2026/16/1/31-43
Link: https://www.dline.info/jes/fulltext/v16n1/jesv16n1_3.pdf
Abstract:
The increasing penetration of high power residential appliances and renewable energy sources has intensified
peak demand challenges in modern power systems. Demand Side Management (DSM), particularly through
direct load control (DLC), is a key enabler of smart grids for mitigating peak loads while maintaining user
comfort. This paper presents a fuzzy logic based Fuzzy Decision Maker (FDM) for optimal scheduling of timeshiftable
residential loads. Unlike conventional approaches that rely solely on price signals or individual
load characteristics, the proposed FDM jointly considers appliance demand power and the predicted
aggregate residential load profile to determine an optimal delay time. The system emulates expert operator
reasoning through interpretable linguistic rules and operates under a DLC paradigm with customer consent
and incentives. Simulation results for a residential community demonstrate peak load reduction and a lower
Peak to Average Ratio (PAR), thereby validating the effectiveness and scalability of the proposed approach
for smart grid applications.