Robust Energy Management Approach for a Microgrid Considering Uncertainties

被引：0
|
作者：
Chen, Tengpeng [1 ,2 ]
Cao, Yuhao [2 ]
Chen, Xuebing [3 ]
Sun, Yuhao [4 ,5 ]
机构：
[1] Xiamen Univ, Shenzhen Res Inst, Shenzhen 518000, Peoples R China
[2] Xiamen Univ, Dept Instrumental & Elect Engn, Xiamen 361102, Peoples R China
[3] Sungrow Shanghai Co Ltd, Shanghai 201203, Peoples R China
[4] CM Intelligence Shenzhen Tech Co Ltd, Shenzhen 518110, Peoples R China
[5] Yunnan Univ, Natl Ctr Int Res Photoelect & Energy Mat, Kunming 650091, Yunnan, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
中国国家自然科学基金;
关键词：
Microgrid; Energy management; Uncertainty; Robust optimization; Environmental sustainability; OPTIMIZATION; MARKET; SYSTEM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Uncertainties of renewable energy sources and load demand have a significant effect on the microgrid operation. In this paper, a robust optimal energy management approach is proposed for a grid-connected microgrid where the adjustable uncertain sets are used to represent uncertainties. A novel statistic index is developed to evaluate the effectiveness of the robust optimization and obtain reasonable model parameters. Moreover, the optimal economic cost and the least environmental pollution are achieved simultaneously. Simulation results in different scenarios are given to verify the effectiveness of the robust optimization approach.
引用
收藏
页码：6749 / 6754
页数：6
相关论文
共 50 条
  • [41] Energy management in microgrid using incentive-based demand response and reconfigured network considering uncertainties in renewable energy sources
    Harsh, Pratik
    Das, Debapriya
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2021, 46
  • [42] Temporally Coordinated Energy Management for AC/DC Hybrid Microgrid Considering Dynamic Conversion Efficiency of Bidirectional AC/DC Converter
    Wei, Bin
    Han, Xiaoqing
    Wang, Peng
    Yu, Hao
    Li, Wen
    Guo, Lingjuan
    IEEE ACCESS, 2020, 8 : 70878 - 70889
  • [43] Charging demand forecasting of electric vehicles considering uncertainties in a microgrid
    Wu, Chuanshen
    Jiang, Sufan
    Gao, Shan
    Liu, Yu
    Han, Haiteng
    ENERGY, 2022, 247
  • [44] A New Paradigm for Distributed Generation Management Considering the Renewable Energy Uncertainties and Demand Response Resources
    Ghanbari-Mobarakeh, Peyman
    Moradian, Mohammadreza
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2019, 9 (01): : 215 - 225
  • [45] A Robust Optimization for Day-ahead Microgrid Dispatch Considering Uncertainties
    Borges, Nuno
    Soares, Joao
    Vale, Zita
    IFAC PAPERSONLINE, 2017, 50 (01): : 3350 - 3355
  • [46] Optimal Energy Management for Microgrids Considering Uncertainties in Renewable Energy Generation and Load Demand
    Wu, Haotian
    Li, Hang
    Gu, Xueping
    PROCESSES, 2020, 8 (09)
  • [47] A three-stage robust dispatch model considering the multi-uncertainties of electric vehicles and a multi-energy microgrid
    Xie, Haixiang
    Gao, Shan
    Zheng, Junyi
    Huang, Xueliang
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 157
  • [48] Optimal energy management strategy for a renewable-based microgrid considering sizing of battery energy storage with control policies
    Quynh, Nguyen Vu
    Ali, Ziad M.
    Alhaider, Mohammed M.
    Rezvani, Alireza
    Suzuki, Kengo
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2021, 45 (04) : 5766 - 5780
  • [49] Optimal energy management in a microgrid under uncertainties using novel hybrid metaheuristic algorithm
    Rizvi, Masood
    Pratap, Bhanu
    Singh, Shashi Bhushan
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2022, 36
  • [50] Accelerated Model Predictive Control for Electric Vehicle Integrated Microgrid Energy Management: A Hybrid Robust and Stochastic Approach
    Ji, Zhenya
    Huang, Xueliang
    Xu, Changfu
    Sun, Houtao
    ENERGIES, 2016, 9 (11)
12345