Distributed Receding-Horizon Optimal Operation in Multi-Microgrids Considering Both Grid-connected and Autonomous modes

被引:0
|
作者
Xu, Zhirong [1 ]
Yang, Ping [1 ]
Zhang, Yujia [1 ]
Song, Sibo [1 ]
Peng, Jiajun [2 ]
Yuan, Haozhe [3 ]
机构
[1] South China Univ Technol, Sch Elect Power, Guangzhou 510640, Guangdong, Peoples R China
[2] South China Univ Technol, Guangdong Key Lab Clean Energy Technol, Guangzhou 511458, Guangdong, Peoples R China
[3] South China Univ Technol, Natl Local Joint Engn Lab Wind Power Control & In, Guangzhou 511458, Guangdong, Peoples R China
来源
2016 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA) | 2016年
关键词
Multi-microgrids; series structure; time-sharing price; predictive control; economic operation;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the large-scale development of microgrids( MGs), adjacent area could formulate multi-microgrids (MMGs) due to the mutual connection and supply, stimulating the problem about efficient and economic operation in multimicrogrids and becoming one of the pivotal technologies. This paper presents distributed predict optimal operation algorithm and control strategies considering the situation of grid integration and stand alone for the multi-microgrids with series structure. As for the operation when the multi-micgrids is connected, we take time-sharing price into consideration for maximum benefit while we comprehensively premeditate the rate and time of load power supply to satisfy the user's demands in autonomous situation. Based on sources and loads prediction, we build economy optimal objective function in every layer of multimicrogrids, uniting the central controller of every sub-microgrid to realize the receding-horizon optimal operation. Case study results verify the feasibility and better economy of the proposed method.
引用
收藏
页码:920 / 925
页数:6
相关论文
共 50 条
  • [1] Optimal Scheduling of Reconfigurable Microgrids in Both Grid-Connected and Isolated Modes Considering the Uncertainty of DERs
    Rezaeeian, Sepideh
    Bayat, Narges
    Rabiee, Abbas
    Nikkhah, Saman
    Soroudi, Alireza
    ENERGIES, 2022, 15 (15)
  • [2] Optimal distributed transaction of multiple microgrids in grid-connected and islanded modes considering unit commitment scheme
    Wang, Zhuo
    Wang, Luhao
    Li, Zhengmao
    Cheng, Xingong
    Li, Qiqiang
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 132
  • [3] Distributed optimal energy scheduling for grid connected multi-microgrids with architecturized load characteristics
    Nawaz, Arshad
    Wu, Jing
    Long, Chengnian
    Energy Reports, 2022, 8 : 11259 - 11270
  • [4] Distributed optimal energy scheduling for grid connected multi-microgrids with architecturized load characteristics
    Nawaz, Arshad
    Wu, Jing
    Long, Chengnian
    ENERGY REPORTS, 2022, 8 : 11259 - 11270
  • [5] Optimal Design of Microgrids in Autonomous and Grid-Connected Modes Using Particle Swarm Optimization
    Hassan, M. A.
    Abido, M. A.
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2011, 26 (03) : 755 - 769
  • [6] A control strategy for a distributed generation unit in grid-connected and autonomous modes of operation
    Gao, Fang
    Iravani, M. Reza
    IEEE TRANSACTIONS ON POWER DELIVERY, 2008, 23 (02) : 850 - 859
  • [7] Energy management system for multi interconnected microgrids during grid connected and autonomous operation modes considering load management
    Shaker, H. K.
    Keshta, H. E.
    Mosa, Magdi A.
    Ali, A. A.
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [8] Consensus Algorithm-Based Distributed Operation of Microgrids During Grid-Connected and Islanded Modes
    Ali, Haesum
    Hussain, Akhtar
    Bui, Van-Hai
    Kim, Hak-Man
    IEEE ACCESS, 2020, 8 (08): : 78151 - 78165
  • [9] A state of the art review on energy management techniques and optimal sizing of DERs in grid-connected multi-microgrids
    Aeggegn, Dessalegn Bitew
    Nyakoe, George Nyauma
    Wekesa, Cyrus
    COGENT ENGINEERING, 2024, 11 (01):
  • [10] A bi-level multi-objective optimal operation of grid-connected microgrids
    Lv, Tianguang
    Ai, Qian
    Zhao, Yuanyuan
    ELECTRIC POWER SYSTEMS RESEARCH, 2016, 131 : 60 - 70