•  
  •  
 

Keywords

integrated ene rgy system; semiconductor industry; whole-industry-chain; optimal configuration; dynamicadaptive particle swarm optimization

Abstract

As the construction of new power systems advances, industrial energy demands grow diverse, with significant differences across upstream, midstream, and downstream industrial chain segments.Against this backdrop, there’s an urgent need to build integrated energy systems （IES） that satisfy the energy needs of whole-industry-chain clusters.This imposes higher demands on the optimal allocation and efficient operation of IES.To this end, the semiconductor industry is taken as an example, and a strategy is proposed for optimal allocation of regional integrated energy tailored to the semiconductor whole-industry-chain energy demands.First, according to the energy consumption characteristics of each production segment, the semiconductor industry chain clusters are divided into multi-regional integrated energy systems with power interconnection.Subsequently, the economic benefits and equipment capacities of each region are incorporated into a two-layer planning model, which is solved hierarchically by a dynamic adaptive particle swarm optimization algorithm combined with the Gurobi solver.Finally, case studies validate the effectiveness of the proposed strategy in enhancing the economic benefits of the systems and achieving efficient energy allocation.

DOI

10.19781/j.issn.1673-9140.2025.05.019

First Page

205

Last Page

217

Download

Share

COinS