• 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 ›› 2020, Vol. 41 ›› Issue (1): 23-31.doi: 10.3969/j.issn.1000-7229.2020.01.003

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Research on Photovoltaic Accommodation and Energy Storage Scheduling of Building Energy Management System

CAI Qinqin,YANG Xiaohua,ZHU Yongqiang   

  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China
  • Online:2020-01-01
  • Supported by:
    This work is supported by the National Key Research and Development Program of China(No.2018YFB0904701).

Abstract: With the continuous improvement of distributed energy penetration rate, establishing a building-based energy management system has become an inevitable trend in the transformation of user-side energy consumption structure. This paper takes building with photovoltaic power and energy storage as the object, divides the building load into un-schedulable and schedulable loads according to the load characteristics, and establishes the model of lowest building electricity cost and the largest local accommodation of PV power. With the goal of two models under different weight coefficients, the improved discrete binary particle swarm optimization algorithm (DBPSO) is used to optimize the working time of schedulable load. Simulations are carried out under different conditions to verify the effectiveness and economy of the proposed model in local PV accommodation and building energy management.

Key words: building energy management system, photovoltaic accommodation, energy storage scheduling, discrete binary particle swarm optimization algorithm(DBPSO)

CLC Number: