• 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 ›› 2022, Vol. 43 ›› Issue (9): 66-76.doi: 10.12204/j.issn.1000-7229.2022.09.007

• Key Technology and Application of Flexible Distributed Energy Resources Oriented to New Power System ·Hosted by Associate Professor JU Liwei and Professor TAN Zhongfu· • Previous Articles     Next Articles

Optimal Scheduling Strategy for Integrated Energy System Considering Mixed Uncertainties of Integrated Demand Response

YANG Zhihao1,2(), LIU Hang3,4(), WEN Ming3,4(), ZHAO Haipeng2(), LIAO Jing3,4(), MIAO Shihong1,2()   

  1. 1. China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan 430074, China
    2. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    3. Economic Research Institute of State Grid Hunan Electric Power Co., Ltd., Changsha 410004, China
    4. Hunan Provincial Key Laboratory of Energy Internet Supply and Demand Operation, Changsha 410004, China
  • Received:2022-02-27 Online:2022-09-01 Published:2022-08-31
  • Contact: MIAO Shihong E-mail:Earth0626@outlook.com;790356101@qq.com;hnjyy1903_wen@126.com;zhaohaipeng@hust.edu.cn;Electric2000@yeah.net;shmiao@hust.edu.cn
  • Supported by:
    Science and Technology Project of State Grid Hunan Electric Power Co., Ltd.(5216A221000P)


Integrated demand response (IDR) is the main means to exploit the load-side regulation potential of the integrated energy system (IES). However, IDR users’ energy consumption behaviors are characterized by random-fuzzy mixed uncertainties, which will not only bring challenges to the formulation of scheduling strategy, but also affect the reliability of the system, and may even lead to load outage. To solve the above problem, firstly, a model based on the improved PMV-PPD index to evaluate user participation willingness is proposed. Secondly, according to the cloud model theory, a price IDR model considering mixed uncertainties is established. On the basis of these, the IES optimal scheduling strategy considering the uncertainties of various energy response boundaries and price elasticity coefficients is proposed. The results of examples show that the proposed IES optimal scheduling strategy can better deal with the load fluctuation caused by the uncertainties of IDR and improve system reliability effectively.

Key words: integrated energy system(IES), integrated demand response(IDR), optimal scheduling, mixed uncertainties, reliability, cloud model

CLC Number: