Optimizing Integrated Energy Systems with Hierarchical Dual-Level Algorithms in the Electrical Internet of Things Framework for Improved Renewable Energy Utilization and Cost Efficiency
Wang F. Doszhan R. Wang S. Xu F. He J. Wang M. Zheng L.
2025Polish Academy of Sciences Branch Lublin
Eksploatacja i Niezawodnosc
2025#27Issue 4
This study proposes a novel integrated system (IES) model to promote load distribution and thermal energy management by considering the turbulence effects, dynamic pressure fluctuations, and the nonlinear efficiency of energy conversion processes. This framework enhances the mass and energy balance equations, thus enhancing the accuracy of the hydraulic and thermal loss estimates. Further, a demand response (DR) model is also created, accounting for stochastic fluctuations in thermal and electrical demands and incorporating cross-elasticity effects. This will enable a more accurate representation of the consumers reactions to changes in the pricing. We employ a modified particle swarm optimization (MPSO) algorithm to optimize the energy dispatch strategy. The modified version includes adjustable learning rates and changing inertia weights, which help it find solutions faster and more accurately. The algorithm successfully manages the distribution of electricity and heat energy, taking into account how energy storage works and the complexities in the conversion systems.
combined heat and power , demand response , electrical Internet of things , energy dispatch optimization , integrated energy systems , modified PSO
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Farabi Business School, Al-Farabi Kazakh National University, Kazakhstan
Shandong Tourism Development Research Center, Shandong College of Tourism and Hospitality, China
Zhejiang University of Technology, China
Beijing Talent Technology Co, China
Farabi Business School
Shandong Tourism Development Research Center
Zhejiang University of Technology
Beijing Talent Technology Co
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026