• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (3): 1-14.doi: 10.12204/j.issn.1000-7229.2023.03.001

• Integrated Multiple Energy and Information Technologies in Enabling Planning and Operation of Energy Internet?Hosted by Associate Professor LIU Yang and Dr. HAN Fujia? • Previous Articles     Next Articles

Rural Electricity-Heat Integrated Energy System Planning Based on Coupling Utilization of Biomass and Solar Resources

WANG Yongli(), HAN Xu(), LIU Chen(), CAI Chengcong(), ZHOU Minhan(), MA Ziben()   

  1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
  • Received:2022-05-23 Online:2023-03-01 Published:2023-03-02
  • Supported by:
    Project of Beijing Social Science Fundation(18GLB034)


Renewable energy sources such as solar energy and biomass energy are abundant in rural areas of China, but the energy utilization rate is low and pollution is serious. Aiming at the rural scene where clean renewable energy sources such as biomass and solar energy are connected, a multi-objective planning method based on the coupling utilization of biomass and solar power for rural electricity-heat integrated energy system is proposed, considering the transmission characteristics of heat network and the adjustable agricultural production load. Firstly, a typical architecture of rural integrated energy system is constructed considering the coupling utilization of biomass and solar energy resources. At the same time, the virtual energy storage function of thermal network, adjustable load of agricultural production and key equipment of the system are modeled and analyzed, and relevant operation strategies are proposed. Secondly, a planning and optimization model for rural integrated energy system is constructed, which takes into account economy, environmental protection and energy efficiency. Considering constraints such as investment capacity, equipment operation and energy balance, the Levy flight-based particle swarm optimization algorithm (LPSO) is used to solve the planning optimization scheme. Finally, the simulation is carried out in a village and town of a county in northern China, and the results show that the proposed method is reasonable and effective.

Key words: rural electricity-heat integrated energy system, biomass-solar coupling, virtual thermal energy storage, multi-objective

CLC Number: