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Electrical characteristics and optimal dispatch of PV storage integrated teaching-dormitory buildings based on PSO

Author

Listed:
  • Chen, Luyang
  • He, Yecong
  • Zhao, Zhigang
  • Li, Sihui
  • Zhang, Xiaofeng
  • Sun, Xiaoqin
  • Zhang, Yuqian

Abstract

The integration of building photovoltaic storage and charging is a feasible solution for the construction of zero-carbon campus power system, but the load of campus buildings is affected by the spatial and temporal distribution of personnel and energy consumption behavior. In this paper, considering periodic occupancy rates and summer vacation utilization, Design Builder and TRNSYS were employed to develop an integrated photovoltaic and energy storage system model to explore the load profiles of the dormitory, thereafter, combined with the power characteristics of the teaching building, a day-ahead economic dispatch optimization model was constructed for the campus micro-grids to minimize the total power supply cost, and the particle swarm optimization algorithm is used to solve the model. The results showed that in a typical day in summer, the dispatching demand of the dormitory building was 389.53 kWh. The dispatching demand of the teaching building was 122.97 kWh. In a typical winter day, the dispatching demand of the dormitory building was 591.36 kWh, and the residual power of the teaching building was 1026.11 kWh. On a typical day in the transition season, the residual power of the dormitory building was 103.17 kWh. The comprehensive operating costs of each typical day were reduced by 9.73%, 15.8% and 11.8% respectively. This study provides theoretical support for the optimal scheduling of the zero-carbon power system of the integrated photovoltaic and storage campus.

Suggested Citation

  • Chen, Luyang & He, Yecong & Zhao, Zhigang & Li, Sihui & Zhang, Xiaofeng & Sun, Xiaoqin & Zhang, Yuqian, 2026. "Electrical characteristics and optimal dispatch of PV storage integrated teaching-dormitory buildings based on PSO," Renewable Energy, Elsevier, vol. 271(C).
    • Handle: RePEc:eee:renene:v:271:y:2026:i:c:s0960148126008177
    DOI: 10.1016/j.renene.2026.125991
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