Economic Dispatch of an Integrated Microgrid Based on the Dynamic Process of CCGT Plant

被引:0
|
作者
Lin, Zhiyi [1 ]
Song, Chunyue [1 ]
Zhao, Jun [1 ]
Yang, Chao [1 ]
Yin, Huan [1 ]
机构
[1] Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Peoples R China
关键词
Microgrid; Dynamic Process; Combined-Cycle Gas Turbine; Approximate Dynamic Programming; PROGRAMMING ALGORITHM; NATURAL-GAS; OPTIMIZATION; POWER;
D O I
10.1109/CCDC52312.2021.9602565
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intra-day economic dispatch of an integrated microgrid is a fundamental requirement to integrate distributed generators. The dynamic energy flows in cogeneration units present challenges to the energy management of the microgrid. In this paper, a novel approximate dynamic programming (ADP) approach is proposed to solve this problem based on value function approximation, which is distinct with the consideration of the dynamic process constraints of the combined-cycle gas turbine (CCGT) plant. First, we mathematically formulate the multi-time periods decision problem as a finite-horizon Markov decision process. To deal with the thermodynamic process, an augmented state vector of CCGT is introduced. Second, the proposed VFA-ADP algorithm is employed to derive the near-optimal real-time operation strategies. In addition, to guarantee the monotonicity of piecewise linear function, we apply the SPAR algorithm in the update process. To validate the effectiveness of the proposed method, we conduct experiments with comparisons to some traditional optimization methods. The results indicate that our proposed ADP method achieves better performance on the economic dispatch of the microgrid.
引用
收藏
页码:985 / 990
页数:6
相关论文
共 50 条
  • [41] Adaptive Learning Based Building Load Prediction for Microgrid Economic Dispatch
    Mashurah, Rumia
    Jana, Rajib Lochan
    Khan, Ainuddin
    Xu, Shichao
    Lan, Shuyue
    Dey, Soumyajit
    Zhu, Qi
    PROCEEDINGS OF THE 2021 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2021), 2021, : 72 - 75
  • [42] Microgrid Economic Operation and Research on Dispatch Strategy
    Chen, Jie
    Yang, Xiu
    Zhu, Lan
    Zhang, Meixia
    2012 POWER ENGINEERING AND AUTOMATION CONFERENCE (PEAM), 2012, : 47 - 52
  • [43] Economic Dispatch of Renewable Power Generators in a Microgrid
    Chaves Acosta, Lised
    Villota Revelo, Jonathan
    Fajardo Fajardo, Dario
    Pantoja Bucheli, Andres
    2012 IEEE INTERNATIONAL SYMPOSIUM ON ALTERNATIVE ENERGIES AND ENERGY QUALITY (SIFAE), 2012,
  • [44] Distributed control for economic dispatch problem in microgrid
    Hu, Changbin
    Ding, Li
    Wang, Feiran
    Luo, Shanna
    Chen, Kaiyu
    Zhang, Hu
    2017 20TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2017,
  • [45] Economic Dispatch Optimization of Microgrid in Islanded Mode
    Ramabhotla, Sundari
    Bayne, Stephen
    Giesselmann, Michael
    2014 INTERNATIONAL ENERGY AND SUSTAINABILITY CONFERENCE (IESC), 2014,
  • [46] Microgrid Economic Dispatch With Energy Storage Systems
    Ross, Michael
    Abbey, Chad
    Bouffard, Francois
    Joos, Geza
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (04) : 3039 - 3047
  • [47] Dynamic economic dispatch modelling of microgrid with non-food biomass power generation
    Li B.
    Liang S.
    Zhu J.
    Li P.
    Li, Bin (lizhen@gxu.edu.cn), 2016, Automation of Electric Power Systems Press (40): : 39 - 46
  • [48] A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid
    Srivastava, Abhishek
    Das, Dushmanta Kumar
    KNOWLEDGE-BASED SYSTEMS, 2022, 243
  • [49] Dynamic dispatch optimization of microgrid based on a QS-PSO algorithm
    Cheng, Shan
    Su, Gao Can
    Zhao, Long Long
    Huang, Tian Li
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2017, 9 (04)
  • [50] Dynamic Economic Dispatch for Integrated Energy System Based on Parallel Multi-dimensional Approximate Dynamic Programming
    Zhang Y.
    Sun P.
    Ji X.
    Yang M.
    Yu Y.
    Zhang X.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2023, 47 (04): : 60 - 68