Economic optimal dispatch of building micro-energy network with heat pump and electro-thermal hybrid energy storage
CSTR:
Author:
Affiliation:

(1. China Construction Installation Group Co., Ltd., Nanjing 210046, China;2. Nanjing Huajian Testing Technology Co., Ltd., Nanjing 210046, China;3. School of Intellectual Property, Nanjing University of Science and Technology, Nanjing 210094, China)

Clc Number:

TK018;F417

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to realize the economic operation of the micro-energy network, an economic optimization scheduling method of the building micro-energy network with heat pump and electro-thermal hybrid energy storage is proposed. Firstly, based on the ETP model combined with Monte Carlo simulation, an aggregated air-conditioning load model with on-off regulation is established to determine the hourly cooling load. Then, a micro- energy network optimal dispatch model is constructed considering the temperature change characteristics of phase-change cold storage and the refrigerating characteristics of heat pumps. Finally, taking the minimum life cycle cost of the micro- energy network as the objective function, the model is solved using Python and Gurobi. The simulation results show that the configuration of electric-thermal hybrid energy storage has the effect of peak-load shifting of electricity and cooling loads, which can reduce the initial investment cost and operating cost, and the economy and flexibility of the system are better.

    Reference
    Related
    Cited by
Get Citation

HUANG Qing, GU Haifei, XU Qingjiang, HUANG Dehai, SUN Xiaolei, WU Zhenggang, ZHU Jing, SUN Minghan. Economic optimal dispatch of building micro-energy network with heat pump and electro-thermal hybrid energy storage[J].,2023,25(4):60-65.

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 12,2023
  • Revised:June 07,2023
  • Adopted:
  • Online: August 24,2023
  • Published:
Article QR Code