Integrated Intelligent Energy ›› 2022, Vol. 44 ›› Issue (11): 50-55.doi: 10.3969/j.issn.2097-0706.2022.11.007

• Load Scheduling and Market Mechanism • Previous Articles     Next Articles

Classification and characteristic analysis of adjustable resources on the user side

ZHENG Qingrong1,2(), LU Yingjie1,2,*(), XIANG Jiani1,2(), CHEN Yuyang3, GONG Feixiang4, YUAN Jindou4, WU Yingjun3()   

  1. 1. State Grid Shanghai Electric Power Company,Shanghai 200030,China
    2. Shanghai Key Laboratory of Smart Grid Demand Response,Shanghai 200030,China
    3. College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China
    4. Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique(China Electric Power Research Institute),Beijing 100192, China
  • Received:2021-09-06 Revised:2022-11-08 Online:2022-11-25 Published:2022-12-21
  • Contact: LU Yingjie E-mail:13764300967@163.com;873212935@qq.com;carame10726@hotmail.com;ywu_ee@vip.163.com

Abstract:

Since the rapid growth of load has posed a huge challenge to the stability of the power system, supply-side regulation and control capabilities of traditional methods have gradually been weakened. Therefore, demand response, as an important means to alleviate the imbalance between supply and demand during power peak periods, has received increasing attention. Demand response can improve the stability of the grid by scheduling the adjustable loads on demand sides and reducing partial load capacity in peak load periods. Therefore, it is of great significance to study adjustable resources on load sides. Based on the existing researches on user-side load classification, a classification method for user-side resources according to their energy supply and consumption attributes is proposed. By analyzing the typical loads of different energy supply and consumption attributes and their characteristics, a resource library of loads with different attributes has been established, which lays a foundation for in-depth research on demand response.

Key words: adjustable resource classification, characteristic analysis, user side, demand response, energy supply and consumption attribute

CLC Number: