• 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 ›› 2018, Vol. 39 ›› Issue (7): 107-114.doi: 10.3969/j.issn.1000-7229.2018.07.013

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Optimal Scheduling of New Energy Integration Considering Different Demand Response Groups

ZHANG Qingqing,WU Qian,LI Shengwei,BAI Xingzhen   

  1. 1.College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, Shandong Province,China;2. Department of Electrical and Automation, Shandong Labor Vocational and Technical College, Jinan 250022, China;3. Economic Research Institute of State Grid Tianjin Electric Power Company, Tianjin 300171, China
  • Online:2018-07-01
  • Supported by:
    This work is supported by State Grid Corporation of China Research Program(No.SGTYHT/16-JS-198).

Abstract: In order to improve the anti-peak-shaving characteristic of new energy, a demand response(DR) model for different users is proposed. At the same time, two controlled units of energy storage system (ESS) and microgrid are modeled, and they are coordinated with new energy output to promote the integration of large-scale new energy. Considering the user's participation degree of DR project, the user satisfaction function is designed as a constraint. In addition, peak-to-valley ratio and new energy consumption rate are taken as the evaluation indexes. A optimization scheduling model considering the minimum cost of power system, the least pollutant emissions and the most stable output of units is established. The YALMIP toolbox and CPLEX program are used to solve the model. Simulation results show that the proposed model can effectively improve the consumption level of new energy and reduce the pollutant emissions and peak-to-valley ratio, thus the security and stability of the system may be improved.

Key words: demand response(DR), direct load control, transferable load, energy storage system(ESS), microgrid, new energy consumption

CLC Number: