Semimonthly

ISSN 1000-1026

CN 32-1180/TP

+Advanced Search 中文版
Day-ahead and Real-time Clearing Method of Integrated Energy System Considering Interest Balance Between Multiple Entities
Author:
Affiliation:

1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education(Northeast Electric Power University), Jilin 132012, China;2.Dispatching and Control Center, State Grid Gansu Electric Power Corporation, Lanzhou 730030, China;3.China Southern Power Grid EHV Transmission Company, Guangzhou 510000, China

Abstract:

In an attempt to solve the joint clearing problem of integrated energy system and external grid under the environment of spot market and distribution side deregulation, a two-stage clearing method including day-ahead and real-time stages is proposed considering the mutual balance of interests between multi entities. In the day-ahead clearing stage, multiple rounds of iterative bidding are implemented considering the interest-driven of all entities, and incorporating factors into the day-ahead bidding process, such as mutual insurance, reserve and peak shifting. In the real-time clearing stage, a triple energy supply system from producers, superior power grid and spinning reserve providers is formed by coordinating internal and external reserve, energy supply refinement and interest distribution. Moreover, the clearing decision models for producers, operators, and load aggregators are built. Finally, the effective effects of demand response, mutual insurance contract and spinning reserve market on peak shifting and internal and external reserve are analyzed by case simulation, which shows that the method can realize the supply and demand balance and interest balance between each entity.

Keywords:

Foundation:

This work is supported by National Natural Science Foundation of China (No. 51777027).

Get Citation
[1]CUI Yang, YAN Shi, WANG Zheng, et al. Day-ahead and Real-time Clearing Method of Integrated Energy System Considering Interest Balance Between Multiple Entities[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20200420003.
Copy
Share
History
  • Received:April 20,2020
  • Revised:October 16,2020
  • Adopted:August 05,2020
  • Online:
  • Published: