Hierarchical two-stage robust optimisation dispatch based on co-evolutionary theory for multiple CCHP microgrids

被引:10
|
作者
Tan, Bifei [1 ]
Chen, Haoyong [1 ]
Zheng, Xiaodong [1 ]
机构
[1] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510641, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
power generation economics; gas turbines; power generation control; wind power plants; cogeneration; distributed power generation; minimax techniques; power generation dispatch; fuel cells; power transmission; co-evolutionary theory; two-stage robust optimisation dispatch model; multiple CCHP microgrid systems; wind power output; electric power; cooling loads; transmission line failures; waste heat; optimised dispatch problem; enhanced optimisation performance; hierarchical robust optimisation dispatch; combined cooling-heating-power microgrids; electricity purchasing; energy storage devices; distribution factor; McCormick envelopes relaxation; column generation algorithm; constraint generation algorithm; min-max-min problem; OPTIMAL OPERATION; ENERGY; MODEL; STRATEGY; SYSTEM; LOAD;
D O I
10.1049/iet-rpg.2020.0283
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Combined cooling, heating, and power (CCHP) microgrids are a special form of a microgrid that is attracting increasing attention. This study contributes to the goal of minimising the operation cost of CCHP microgrids by proposing a hierarchical two-stage robust optimisation dispatch model for multiple CCHP microgrid systems. The uncertainties associated with wind power output, electric power, heating, and cooling loads, and transmission line failures are considered in the proposed model. Moreover, the electricity purchasing and selling prices of each microgrid are independently determined. The proposed model applies the outputs of fuel cells, energy storage devices, and gas turbines, the distribution factor of waste heat, and the power transmission between the microgrids and an external grid as control variables. The optimised dispatch problem is solved using McCormick envelopes relaxation and a novel column and constraint generation algorithm that provides enhanced optimisation performance by implementing co-evolutionary theory. In this way, the microgrid system is divided into several sections, and each section is represented as an individual min-max-min problem. The rationality and validity of the proposed model and the superiority of the solution performance of the improved algorithm are verified through simulation case studies involving a system composed of four CCHP microgrids.
引用
收藏
页码:4121 / 4131
页数:11
相关论文
共 41 条
  • [31] A Two-Stage Hybrid Stochastic-Robust Coordination of Combined Energy Management and Self-Healing in Smart Distribution Networks Incorporating Multiple Microgrids
    Zaheri, Damoon Mohammad
    Salmani, Shahrzad Nazerian
    Shahnia, Farhad
    Wang, Hai
    Su, Xiangjing
    ENERGIES, 2024, 17 (17)
  • [32] Day-ahead voltage scheduling method based on a two-stage robust optimisation for VSC-HVDC connected wind farms
    Jiang, Mang
    Guo, Qinglai
    Sun, Hongbin
    IET RENEWABLE POWER GENERATION, 2018, 12 (13) : 1470 - 1477
  • [33] Two-Stage Robust Economic Dispatch of Regional Integrated Energy System Considering Source-Load Uncertainty Based on Carbon Neutral Vision
    Gao, Jianwei
    Yang, Yu
    Gao, Fangjie
    Wu, Haoyu
    ENERGIES, 2022, 15 (04)
  • [34] Co-optimized Operation of Multi-integrated Energy Microgrids-shared Energy Storage Plants Based on Two-stage Robustness
    Cao, Meng
    Xie, Chao
    Li, Fengting
    Yin, Chunya
    Zhang, Gaohang
    Gao, Yun
    Dianwang Jishu/Power System Technology, 2024, 48 (11): : 4493 - 4502
  • [35] A queuing-theory-based interval-fuzzy robust two-stage programming model for environmental management under uncertainty
    Sun, Y.
    Li, Y. P.
    Huang, G. H.
    ENGINEERING OPTIMIZATION, 2012, 44 (06) : 707 - 724
  • [36] Two-Stage Dual-Level Dispatch Optimization Model for Multiple Virtual Power Plants with Electric Vehicles and Demand Response Based on a Stackelberg Game
    Tang, Jincheng
    Li, Xiaolan
    ENERGIES, 2025, 18 (04)
  • [37] Wasserstein metric-based two-stage distributionally robust optimization model for optimal daily peak shaving dispatch of cascade hydroplants under renewable energy uncertainties
    Jin, Xiaoyu
    Liu, Benxi
    Liao, Shengli
    Cheng, Chuntian
    Zhang, Yi
    Zhao, Zhipeng
    Lu, Jia
    ENERGY, 2022, 260
  • [38] Two-Stage, Three-Layer Stochastic Robust Model and Solution for Multi-Energy Access System Based on Hybrid Game Theory
    Wu, Guodong
    Li, Xiaohu
    Wang, Jianhui
    Zhang, Ruixiao
    Bao, Guangqing
    Processes, 2024, 12 (12)
  • [39] Two-Stage Robust Unit Commitment for Co-Optimized Electricity Markets: An Adaptive Data-Driven Approach for Scenario-Based Uncertainty Sets
    Velloso, Alexandre
    Street, Alexandre
    Pozo, David
    Arroyo, Jose M.
    Cobos, Noemi G.
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (02) : 958 - 969
  • [40] A robust decision-making approach for p-hub median location problems based on two-stage stochastic programming and mean-variance theory: a real case study
    Taher Ahmadi
    Hadi Karimi
    Hamid Davoudpour
    Seyed Abbas Hosseinijou
    The International Journal of Advanced Manufacturing Technology, 2015, 77 : 1943 - 1953