Hierarchical control framework for integrated coordination between distributed energy resources and demand response

被引:17
|
作者
Wu, Di [1 ]
Lian, Jianming [1 ]
Sun, Yannan [1 ]
Yang, Tao [1 ,2 ]
Hansen, Jacob [1 ]
机构
[1] Pacific Northwest Natl Lab, Richland, WA 99354 USA
[2] Univ North Texas, Denton, TX 76203 USA
关键词
Distributed control; Distributed energy resource; Demand response; Hierarchical control; Resource allocation; SYSTEM;
D O I
10.1016/j.epsr.2017.05.002
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Demand response represents a significant but largely untapped resource that can greatly enhance the flexibility and reliability of power systems. This paper proposes a hierarchical control framework to facilitate the integrated coordination between distributed energy resources and demand response. The proposed framework consists of coordination and device layers. In the coordination layer, prior to each scheduling period, each coordinator receives the aggregated utility or cost functions as well as the power operating ranges from aggregators or device controllers. Then, various resources or their aggregations are optimally coordinated in a distributed manner to achieve the system-level objectives. The obtained regulation signals are sent back to aggregators or device controllers for real-time control. In the device layer, at the scheduling stage, the controller at each device reports to coordinators (directly or through aggregators) the required information for optimal coordination, and receives the regulation signals from its commander once the coordination is completed. During the real-time operation, individual resources are controlled to follow the optimal power dispatch signals. For practical applications, a method is presented to determine the utility functions of controllable loads by accounting for the real-time load dynamics and the preferences of individual customers. The effectiveness of the proposed framework is validated by detailed simulation studies. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:45 / 54
页数:10
相关论文
共 50 条
  • [11] Coordination of distributed energy resources
    Alibhai, Z
    Lum, R
    Huster, A
    Gruver, WA
    Kotak, DB
    NAFIPS 2004: ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1AND 2: FUZZY SETS IN THE HEART OF THE CANADIAN ROCKIES, 2004, : 913 - 918
  • [12] Economic Impact of Demand Response in the Scheduling of Distributed Energy Resources
    Spinola, Joao
    Faria, Pedro
    Vale, Zita
    2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2015, : 1545 - 1552
  • [13] Distributed Energy Resources Optimization for Demand Response using MILP
    Singabhattu, Hemanth
    Jain, Amit
    Bhattacharjee, Tulika
    2017 IEEE REGION 10 INTERNATIONAL SYMPOSIUM ON TECHNOLOGIES FOR SMART CITIES (IEEE TENSYMP 2017), 2017,
  • [14] Automation Framework for Blockchain-Based Coordination Of Distributed Energy Resources
    Cazal, Cesar
    Tun, Su Mon
    Waheed, Irtaza
    Pitz, Manuel
    Kannan, Yoga
    Penthong, Thanakorn
    Ponci, Ferdinanda
    Monti, Antonello
    IEEE 15TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS, PEDG 2024, 2024,
  • [15] Coordination and Control of Distributed Energy Resources for Provision of Ancillary Services
    Dominguez-Garcia, Alejandro D.
    Hadjicostis, Christoforos N.
    2010 IEEE 1ST INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2010, : 537 - 542
  • [16] Integrated Demand Response Software for Multi-Energy Coordination
    Tian, Shiming
    Bai, Dongzhuang
    Shi, Kun
    Li, Yuanfei
    2021 13TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2021), 2021, : 77 - 82
  • [17] Distributed Consensus-Based Coordination of Flexible Demand and Energy Storage Resources
    Li, Jing
    Ye, Yujian
    Papadaskalopoulos, Dimitrios
    Strbac, Goran
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (04) : 3053 - 3069
  • [18] Threshold based scheduling of Residential Distributed Energy Resources for Demand Response
    Singabhattu, Hemanth
    Jain, Amit
    Bhattacharjee, Tulika
    2017 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2017,
  • [19] Distributed Energy Resources Scheduling and Aggregation in the Context of Demand Response Programs
    Faria, Pedro
    Spinola, Joao
    Vale, Zita
    ENERGIES, 2018, 11 (08):
  • [20] Optimal residential users coordination via demand response: An exact distributed framework
    de Souza Dutra, Michael David
    Alguacil, Natalia
    APPLIED ENERGY, 2020, 279