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

doi:10.1109/IAS.2018.8544545

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

Department of Electronic & Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Citation (SciVal)

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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 language	English
Journal	2018 IEEE Industry Applications Society Annual Meeting (IAS)
Volume	2018
DOIs	https://doi.org/10.1109/IAS.2018.8544545
Publication status	Published - 29 Nov 2018
Event	2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 - Portland, USA United States Duration: 23 Sept 2018 → 27 Sept 2018

Funding

This work was supported in part by Science and Technology Foundation of State Grid Corporation of China (Research and application of technical path development and its precise investment decision in active distribution network) under grant 52130417002R, in part by the Fundamental Research Funds for the Central Universities of China under grant YJ201654, in part by the National Key Research and Development Program of China under grant 2018YFB0905200, in part by the New Century Higher Education Teaching Reform Project of Sichuan University under grant SCU8007, in part by the Interdisciplinary Training Project for the Talents of Sichuan University under grant SCUKG056, and in part by the Innovation and Entrepreneurship Research Project of Sichuan University under grant SCUCXCY1736.

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IAS.2018.8544545

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Accepted author manuscript, 777 KB

Cite this

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title = "Agent-based Operation Strategy for Active Distribution Network Considering Energy Storage and Flexible Load",

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.",

keywords = "Active distribution network, Distributed energy resources, Energy storage, Flexible load, Interactive coordination, Multi-agent system, Price response",

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

year = "2018",

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language = "English",

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journal = "2018 IEEE Industry Applications Society Annual Meeting (IAS)",

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T1 - Agent-based Operation Strategy for Active Distribution Network Considering Energy Storage and Flexible Load

AU - Xiang, Yue

AU - Liu, Junyong

AU - Hu, Shuai

AU - Tian, Yuting

AU - Gu, Chenghong

AU - Xiong, Jun

AU - Zhang, Xin

AU - Liu, Zhixuan

PY - 2018/11/29

Y1 - 2018/11/29

N2 - 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.

AB - 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.

KW - Active distribution network

KW - Distributed energy resources

KW - Energy storage

KW - Flexible load

KW - Interactive coordination

KW - Multi-agent system

KW - Price response

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DO - 10.1109/IAS.2018.8544545

M3 - Conference article

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SN - 0197-2618

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JO - 2018 IEEE Industry Applications Society Annual Meeting (IAS)

JF - 2018 IEEE Industry Applications Society Annual Meeting (IAS)

T2 - 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018

Y2 - 23 September 2018 through 27 September 2018

ER -

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

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response

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

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response

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