An enhanced multiobjective particle swarm optimisation algorithm for optimum utilisation of hybrid renewable energy systems

被引：0
|
作者：
Suresh, M. [1 ]
Meenakumari, R. [1 ]
Panchal, Hitesh [2 ]
Priya, V. [3 ]
El Agouz, El Sayed [4 ]
Israr, Mohammad [5 ]
机构：
[1] Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, India
[2] Department of Mechanical Engineering, Government Engineering College, Patan, India
[3] Department of Computer Science and Engineering, Mahendra Institute of Technology, Tiruchengode, India
[4] Department of Mechanical Power Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt
[5] Department of Mechanical Engineering, Sur University College, Sur, Oman
来源：
International Journal of Ambient Energy | 2022年 / 43卷 / 01期
关键词：
Wind - Multiobjective optimization - Particle swarm optimization (PSO) - Electric batteries - Electric power systems - Renewable energy resources - Costs - Genetic algorithms - Diesel engines - Investments - Meteorology - Digital storage;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Journal article (JA)
引用
收藏
页码：2540 / 2548
相关论文
共 50 条
  • [1] An enhanced multiobjective particle swarm optimisation algorithm for optimum utilisation of hybrid renewable energy systems
    Suresh, M.
    Meenakumari, R.
    Panchal, Hitesh
    Priya, V.
    El Agouz, El Sayed
    Israr, Mohammad
    INTERNATIONAL JOURNAL OF AMBIENT ENERGY, 2020, : 2540 - 2548
  • [2] Hybrid particle swarm optimisation algorithm for image segmentation
    Zhang, Jian-de
    Lu, Jin-gui
    Li, Hong-liang
    INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2011, 14 (04) : 317 - 323
  • [3] A dynamic MOPSO algorithm for multiobjective optimal design of hybrid renewable energy systems
    Sharafi, Masoud
    ElMekkawy, Tarek Y.
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2014, 38 (15) : 1949 - 1963
  • [4] Hybrid multiobjective particle swarm optimization and estimation of distribution algorithm
    Luo, Ci-Yong
    Lu, Bin
    Chen, Min-You
    Zhang, Cong-Yu
    Chongqing Daxue Xuebao/Journal of Chongqing University, 2010, 33 (04): : 31 - 36
  • [5] Multiobjective economic/emission dispatch by multiobjective θ-particle swarm optimisation
    Niknam, T.
    Doagou-Mojarrad, H.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2012, 6 (05) : 363 - 377
  • [6] A hybrid cooperative cuckoo search algorithm with particle swarm optimisation
    Wang, Lijin
    Zhong, Yiwen
    Yin, Yilong
    INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS, 2015, 6 (01) : 18 - 29
  • [7] MOHRES, a Software Tool for Analysis and Multiobjective Optimisation of Hybrid Renewable Energy Systems-An Overview of Capabilities
    Maheri, Alireza
    PROCEEDINGS OF THE 2021 6TH INTERNATIONAL SYMPOSIUM ON ENVIRONMENT - FRIENDLY ENERGIES AND APPLICATIONS (EFEA 2021), 2021,
  • [8] Hybrid constrained genetic algorithm/particle swarm optimisation load flow algorithm
    Ting, T. O.
    Wong, K. P.
    Chung, C. Y.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2008, 2 (06) : 800 - 812
  • [9] Scheduling optimisation of flexible manufacturing systems using particle swarm optimisation algorithm
    Jerald, J
    Asokan, P
    Prabaharan, G
    Saravanan, R
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2005, 25 (9-10): : 964 - 971
  • [10] Scheduling optimisation of flexible manufacturing systems using particle swarm optimisation algorithm
    J. Jerald
    P. Asokan
    G. Prabaharan
    R. Saravanan
    The International Journal of Advanced Manufacturing Technology, 2005, 25 : 964 - 971
12345