Optimisation configuration of hybrid AC/DC microgrid containing electric vehicles based on the NSGA-II algorithm

被引：10
|
作者：
Ye, Bin [1 ]
Shi, Xuemei [1 ]
Wang, Xuli [1 ]
Wu, Hongbin [2 ]
机构：
[1] State Grid Anhui Econ Res Inst, Hefei 230022, Anhui, Peoples R China
[2] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Anhui, Peoples R China
来源：
JOURNAL OF ENGINEERING-JOE | 2019年 / 2019卷 / 10期
关键词：
MANAGEMENT; STABILITY;
D O I：
10.1049/joe.2018.5043
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Based on the development of hybrid AC/DC microgrid, considering the objectives of microgrid life-cycle cost, self-balancing rate and converter losses, an optimisation configuration model of a hybrid AC/DC microgrid is established here. Based on the different model of EVs to connect with grid, the matching control strategies for the model are proposed. The elitist non-dominated sorting genetic algorithm (NSGA-II) is applied to solve the optimisation configuration model. With the example system simulation, the demand response function of EVs is analysed, and the impacts of different EVs charging modes on optimisation configuration results of the hybrid AC/DC microgrid are studied and discussed. The rationality and effectiveness of proposed models and strategies are verified.
引用
收藏
页码：7229 / 7236
页数：8
相关论文
共 50 条
  • [1] Research on layered microgrid operation optimization based on NSGA-II algorithm
    Chen, Miao
    Jun, Zou
    [J]. 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 2149 - 2156
  • [2] Distributed Coordinated Control of AC/DC Microgrid Voltage Containing Electric Vehicles
    Mao, Meiqin
    Liu, Yufeng
    Wang, Yangyang
    Chang, Liuchen
    Hatziargyriou, Nikos
    [J]. 2018 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2018, : 4784 - 4790
  • [3] Planning of AC/DC Hybrid Microgrid with Electric Vehicles Charging Load Integration
    Ding, Ming
    Shi, Shengliang
    Pan, Hao
    Wang, Min
    Yao, Yuliang
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2018, 42 (01): : 32 - 38
  • [4] Dynamic Economic Dispatch Model of Microgrid Containing Energy Storage Components Based on a Variant of NSGA-II Algorithm
    Zhao, Fei
    Yuan, Jinsha
    Wang, Ning
    [J]. ENERGIES, 2019, 12 (05):
  • [5] A Game Theory-Based Bargaining Model between Electric Vehicles and the Hybrid AC/DC Microgrid
    Ai, Yuxuan
    Qiu, Yibin
    Li, Qi
    Huang, Lanjia
    Chen, Weirong
    [J]. 2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES, 2022, : 202 - 207
  • [6] Parametric Optimisation Analysis of Micro/Nano-Satellite Flywheels Based on the NSGA-II Optimisation Algorithm
    Jiang, Wei
    Xie, Weicheng
    Sun, Shuai
    [J]. AEROSPACE, 2022, 9 (07)
  • [7] Optimisation of an Energy System in Finland using NSGA-II Evolutionary Algorithm
    Wahlroos, Mikko
    Jaaskelainen, Jaakko
    Hirvonen, Janne
    [J]. 2018 15TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2018,
  • [8] Multi-Objective Optimization for DC Microgrid Using Combination of NSGA-II Algorithm and Linear Search Method
    Ren, Zijun
    Qu, Xiaohui
    Wang, Minzhi
    Zou, Changyue
    [J]. IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2023, 13 (03) : 789 - 796
  • [9] ANFIS Based Smart Control of Electric Vehicles Integrated with Solar Powered Hybrid AC-DC Microgrid
    Kaur, Sachpreet
    Kaur, Tarlochan
    Khanna, Rintu
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2020, 48 (12-13) : 1282 - 1295
  • [10] A Hybrid NSGA-II Algorithm for Multiobjective Quadratic Assignment Problems
    Ozturk, Z. Kamisli
    Uluel, M.
    [J]. ACTA PHYSICA POLONICA A, 2017, 132 (03) : 959 - 962
12345