Analysis of Supply–Demand Matching Characteristics of Two Interconnected Combined Cooling, Heating, and Power (CCHP) Microgrid Systems
To address the energy supply–demand imbalance caused by the limited operating modes of stand-alone combined cooling, heating, and power (CCHP) microgrids, this study investigates a geographically integrated energy framework of two interconnected CCHP microgrids. A mathematical model for the interconnected operation of two CCHP microgrids is established by analyzing three operational strategies: following the electric load (FEL), following the thermal load (FTL), and following the hybrid load (FHL). A hotel, an office building, and a residential building in a specific region of North China were selected as the study objects, and representative summer-day deterministic loads were used as inputs. The comprehensive performance index (CPI), energy factor (EF), and supply–demand matching degree (MD) of the two CCHP systems were assessed in both independent and interconnected operational scenarios. Furthermore, the comprehensive performance and supply–demand matching characteristics under different strategy combinations were analyzed to identify the operational strategy combinations that provide superior performance for diverse building configurations. The findings indicate that the effects of interconnection varied markedly across various strategic combinations. Significantly, when the hotel and office-building systems operate comprehensively under the FTL strategy, the regional integrated energy system realizes the most substantial improvement in overall performance compared to independent operation, attaining 9.14%; the total EF decreases to the minimum value of 6.56%, and the total MD reaches 0.9759, indicating the smallest overall supply–demand deviation among the compared schemes. Meanwhile, the comprehensive performance reaches a peak value of 43.89%.
Authors
- Qingrui Xu
- Chong Zhang (ORCID: https://orcid.org/0000-0001-8745-6518)
- Yaohong Li (ORCID: https://orcid.org/0000-0003-4565-2267)
- Bin Peng
Institutions
- Lanzhou University of Technology (CN)
Publication Details
- Journal
- Energies
- Published
- 2026-09-20
- DOI
- https://doi.org/10.3390/en19184452
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00