A Method for Optimal Schedule Balancing in Distribution Network using Multi Agent Control Strategy

被引:0
|
作者
Gubina, Andrej F. [1 ]
Medved, Tomi [1 ]
Prislan, Blaz [1 ]
Zupancic, Jernej [1 ]
机构
[1] Univ Ljubljana, Fac Elect Engn, Lab Energy Policy, Ljubljana, Slovenia
来源
2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM) | 2016年
关键词
Demand response; Agent based control; Scheduling control; Economic optimization; Energy-based optimization;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The rising share of the distributed renewable energy sources (DRES) is posing specific challenges regarding their integration in distribution networks. They lead to overvoltages, current congestion and other issues that reduce the power quality and the security of the supply. New solutions are needed especially in the low voltage (LV) networks where the majority of the small-scale DRES are connected. In the project INCREASE (part of the FP7 program), advanced technical solutions and control strategies were developed that will allow the distribution system operators (DSOs) to maintain the secure operation of their networks despite the increased injection from DRES. This way, the DSOs don't need to resort to reinforcement of the grid or conservative approach to connection of the DRES. In the paper a concept of multi-agent control strategy is presented using the simulation results of different schedule balancing approaches with their analysis.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Research on optimal schedule strategy for active distribution network
    You, Yi
    Liu, Dong
    Zhong, Qing
    Yu, Nanhua
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2014, (09): : 177 - 183
  • [2] Multi-agent Optimal Control of Ball Balancing on a Mobile Robot
    Akbarimajd, Adel
    Hosseini, Amir Mohammad
    INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING, 2015, 7 (02): : 14 - 19
  • [3] Leakage control of multi-source water distribution system by network partition and optimal pump schedule in China
    Gao, Jinliang
    Qi, Shihua
    Nan, Jun
    Chen, Chen
    JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA, 2017, 66 (01): : 62 - 74
  • [4] A Multi-agent Restoration method for Distribution Network
    Yokoyama, Tsukasa
    Nagata, Takeshi
    2011 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY ENGINEERING (ICAEE), 2012, 14 : 726 - 731
  • [5] Proposed framework for Integration of Optimal Current Injection and Multi-Agent Control of the LV Distribution network
    Gabriels, George H.
    Windapo, Mobolaji O.
    Oyedokun, David T. O.
    Ruggeri, Simona
    2020 6TH IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2020, : 521 - 526
  • [6] Research on optimal schedule strategy for active distribution network using particle swarm optimization combined with bacterial foraging algorithm
    Zhao, Feng
    Si, Jingjing
    Wang, Jijuan
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 78 : 637 - 646
  • [7] The Optimal Operation of Honeycomb Distribution Network With Multi-agent System
    Xu, Jie
    Chen, Ding
    Li, Chun
    Zhang, Xiaodi
    Gao, Qiang
    Zhu, Naixuan
    Hu, Pengfei
    2022 INTERNATIONAL CONFERENCE ON MECHANICAL, AUTOMATION AND ELECTRICAL ENGINEERING, CMAEE, 2022, : 183 - 188
  • [8] Multi-timescale optimal control strategy for energy storage using LSTM prediction-correction in the active distribution network
    Wu, Junjian
    Chen, Yiwei
    Zhou, Jinhui
    Jiang, Chengtao
    Liu, Wei
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [9] A Distributed Optimal Control Method for Active Distribution Network
    Ling, Weifang
    Chen, Minyou
    Wei, Zuolin
    Chen, Feixiong
    Yu, Lei
    Yu, David C.
    2016 UKACC 11TH INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), 2016,
  • [10] Optimal Distribution Network Reconfiguration for Load Balancing
    Yan Yuehao
    Zhang Zhongqing
    Bao Wei
    Xin Jun
    Qin Limin
    Du Yaoheng
    2016 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2016,