Shunyu Li, Jing Zhang, Yu He, et al. Two-Stage capacity allocation optimization method for user-level integrated energy systems considering user satisfaction and thermal inertia[J]. Global energy interconnection, 2025, 8(2).
DOI:
Shunyu Li, Jing Zhang, Yu He, et al. Two-Stage capacity allocation optimization method for user-level integrated energy systems considering user satisfaction and thermal inertia[J]. Global energy interconnection, 2025, 8(2). DOI: 10.1016/j.gloei.2024.03.001.
Two-Stage capacity allocation optimization method for user-level integrated energy systems considering user satisfaction and thermal inertia
Integrated-energy systems (IESs) are key to advancing renewable-energy utilization and addressing environmental challenges.Key components of IESs include low-carbon
economic dispatch and demand response
for maximizing renewable-energy consumption and supporting sustainable-energy systems.User participation is central to demand response; however
many users are not inclined to engage actively; therefore
the full potential of demand response remains unrealized.User satisfaction must be prioritized in demandresponse assessments.This study proposed a two-stage
capacity-optimization configuration method for user-level energy systems considering thermal inertia and user satisfaction.This method addresses load coordination and complementary issues within the IES and seeks to minimize the annual
total cost for determining equipment capacity configurations while introducing models for system thermal inertia and user satisfaction.Indoor heating is adjusted
for optimizing device output and load profiles
with a focus on typical
daily
economic
and environmental objectives.The study findings indicate that the system thermal inertia optimizes energy-system scheduling considering user satisfaction.This optimization mitigates environmental concerns and enhances clean-energy integration.