Bi-Level Multi-Objective Optimization Scheduling for Regional Integrated Energy Systems Based on Quantum Evolutionary Algorithm

被引：11
|
作者：
Fan, Wen [1 ]
Liu, Qing [1 ]
Wang, Mingyu [1 ]
机构：
[1] North China Elect Power Univ Baoding, State Key Lab Alternate Elect Power Syst Renewabl, Baoding 071003, Peoples R China
来源：
ENERGIES | 2021年 / 14卷 / 16期
关键词：
integrated energy system; quantum evolutionary algorithm; multi-objective programming; bi-level model; uncertainty; STRATEGY; POWER;
D O I：
10.3390/en14164740
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：
Integrated energy systems have become an important research topic in the pursuit of sustainable energy development. This paper examines regional integrated energy systems, presents the typical architecture of regional integrated energy systems, and builds an integrated energy system model. Two evaluation indexes are proposed: the integrated energy self-sufficiency rate and the expected energy deficiency index. Based on these evaluation indexes and taking into account the uncertainty of wind power generation, a bi-level optimization model based on meta-heuristic algorithms and multi-objective programming is established to solve the problem of regional integrated energy system planning under different load structures and for multi-period and multi-scenario operation modes. A quantum evolutionary algorithm is combined with genetic algorithms to solve the problem.
引用
收藏
页数：15
相关论文
共 50 条
  • [21] Bi-level optimization and Stackelberg game in multi-integrated energy systems
    Xue, Suzhan
    Wang, Yingchun
    Liu, Yang
    Wang, Zhishuo
    Wang, Yudong
    Yang, Dongsheng
    JOURNAL OF ENERGY STORAGE, 2025, 111
  • [22] Algorithm for bi-level multi-objective fully quadratic fractional optimization model with fuzzy parameters
    Rani, Namrata
    Goyal, Vandana
    Gupta, Deepak
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 12 (12) : 10637 - 10649
  • [23] Optimization of facility location and size problem based on bi-level multi-objective programming
    Hu, Zhineng
    Wang, Li
    Qin, Jindong
    Lev, Benjamin
    Gan, Lu
    COMPUTERS & OPERATIONS RESEARCH, 2022, 145
  • [24] Multi-objective bi-level optimization model for the investment in gas infrastructures
    del Valle, Aurora
    Wogrin, Sonja
    Reneses, Javier
    ENERGY STRATEGY REVIEWS, 2020, 30 (30)
  • [25] An Adaptive Evolutionary Algorithm for Bi-Level Multi-objective VRPs with Real-Time Traffic Conditions
    Chen, Baojian
    Li, Changhe
    Zeng, Sanyou
    Yang, Shengxiang
    Mavrovouniotis, Michalis
    2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021), 2021,
  • [26] A Bi-level Multi-objective Programming Model for Bus Crew and Vehicle Scheduling
    Lin, Yongjie
    Pan, Shuliang
    Jia, Lei
    Zou, Nan
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 2328 - 2333
  • [27] Development of a multi-objective optimization evolutionary algorithm based on educational systems
    Hossein Moradi
    Hossein Ebrahimpour-Komleh
    Applied Intelligence, 2018, 48 : 2954 - 2966
  • [28] Development of a multi-objective optimization evolutionary algorithm based on educational systems
    Moradi, Hossein
    Ebrahimpour-Komleh, Hossein
    APPLIED INTELLIGENCE, 2018, 48 (09) : 2954 - 2966
  • [29] A Multi-objective Evolutionary Algorithm based on Decomposition for Constrained Multi-objective Optimization
    Martinez, Saul Zapotecas
    Coello, Carlos A. Coello
    2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2014, : 429 - 436
  • [30] Solving multi-objective optimization problems by a bi-objective evolutionary algorithm
    Wang, Yu-Ping
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 1018 - 1024
12345