Agent-based Operation Strategy for Active Distribution Network Considering Energy Storage and Flexible Load

Yue Xiang, Junyong Liu, Shuai Hu, Yuting Tian, Chenghong Gu, Jun Xiong, Xin Zhang, Zhixuan Liu

Research output: Contribution to journalConference article

1 Citation (Scopus)
4 Downloads (Pure)

Abstract

With the development of distributed energy resources (DERs) and the increasing flexibility in active distribution networks (ADNs), the economic operation of ADN components on both generation and demand sides to improve power self-consumption capability are required to be studied. In this paper, by considering the electricity price response of energy storage (ES) and flexible load (FL), an interactive and coordinated operation strategy for ADNs is presented based on a bi-level multi-agent system (MAS) structure. In the situation of power imbalance, each active component agent will be informed by higher level ADN agent and make their own response based on the technical operability and economical consideration. ADN agent will finally coordinate each participant and develop operation strategy by using the interactive benefit prioritization principle. The simulation results indicate that the proposed interactive coordination strategy can not only maximize the consumption of renewable energy, but also reduce the power imbalance and improve the economic operation of ADN.

Original languageEnglish
Journal2018 IEEE Industry Applications Society Annual Meeting (IAS)
Volume2018
DOIs
Publication statusPublished - 29 Nov 2018
Event2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 - Portland, USA United States
Duration: 23 Sep 201827 Sep 2018

Keywords

  • Active distribution network
  • Distributed energy resources
  • Energy storage
  • Flexible load
  • Interactive coordination
  • Multi-agent system
  • Price response

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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