Optimization model for resources allocation of cloud computations in active distribution networks

被引:0
|
作者
Cao, Zijian [1 ]
Lin, Jin [1 ]
Song, Yonghua [1 ]
机构
[1] State Key Lab of Control and Simulation of Power Systems and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing,100084, China
关键词
With high penetration of controllable equipments and monitoring devices; such as distributed generations; electric vehicles; smart meters and phasor measurement units (PMU); the requirements of active distribution networks for information and computation technology (ICT) resources are growing rapidly. As a novel mode to supply ICT resources; cloud computing has many advantages over traditional ICT resources allocation schemes. This paper investigated the pricing mechanisms of cloud resources providers; and classified distribution network applications by considering the characteristics of the way in which those applications occupy the ICT resources. Based on the pricing strategy and classification; an optimization model for resources allocation of cloud computations in active distribution networks was proposed. At last; a case was analyzed to demonstrate the potential ability of cloud computing to reduce the investment of ICT resources and achieve computation resources complementarity in active distribution networks. ©2014 Chinese Society for Electrical Engineering;
D O I
10.13334/j.0258-8013.pcsee.2014.19.001
中图分类号
学科分类号
摘要
引用
收藏
页码:3043 / 3049
相关论文
共 50 条
  • [1] An Optimization of Computational Resources Allocation for Multi-MEC and Cloud Networks
    Du, Ally Y.
    2020 9TH IEEE INTEGRATED STEM EDUCATION CONFERENCE (ISEC 2020), 2020,
  • [2] Active Distribution Networks with Microgrid and Distributed Energy Resources Optimization Using Hierarchical Model
    Blasi, Thais M.
    de Aquino, Cyntia C. C. B.
    Pinto, Rafael S.
    de Lara Filho, Mauro O.
    Fernandes, Thelma S. P.
    Vila, Clodomiro U.
    Aoki, Alexandre R.
    dos Santos, Rodrigo B.
    Tabarro, Fabricio H.
    ENERGIES, 2022, 15 (11)
  • [3] Joint Optimization of Multidimensional Resources Allocation in Cloud Networking
    Li, Jialong
    Zhu, Kangqi
    Hua, Nan
    Zhao, Chen
    Li, Yanhe
    Zheng, Xiaoping
    Zhou, Bingkun
    2022 IEEE 7TH OPTOELECTRONICS GLOBAL CONFERENCE, OGC, 2022, : 55 - 59
  • [4] Optimization of Virtual Resources Allocation in Cloud Computing Environment
    Akintoye, Samson B.
    Bagula, Antoine
    2017 IEEE AFRICON, 2017, : 873 - 880
  • [5] On the Optimal Allocation of Virtual Resources in Cloud Computing Networks
    Papagianni, Chrysa
    Leivadeas, Aris
    Papavassiliou, Symeon
    Maglaris, Vasilis
    Cervello-Pastor, Cristina
    Monje, Alvaro
    IEEE TRANSACTIONS ON COMPUTERS, 2013, 62 (06) : 1060 - 1071
  • [6] RESOURCES ALLOCATION MODEL IN A CLUSTERED CLOUD CONFIGURATION
    Bancescu, Mioara
    PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY (IE 2015): EDUCATION, RESEARCH & BUSINESS TECHNOLOGIES, 2015, : 552 - 557
  • [7] MILP Model for Reliability Optimization In Active Distribution Networks
    Nader, Aljohani
    Ruben, Cody
    Dhulipala, Surya Chandan
    Bretas, Arturo Suman
    da Silva, Rochele Albuquerque
    2018 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2018,
  • [8] An optimization model for the allocation of water resources
    Abdulbaki, Dunia
    Al-Hindi, Mahmoud
    Yassine, Ali
    Abou Najm, Majdi
    JOURNAL OF CLEANER PRODUCTION, 2017, 164 : 994 - 1006
  • [9] Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks
    Ahmad Eid
    Salah Kamel
    Laith Abualigah
    Neural Computing and Applications, 2021, 33 : 14327 - 14355
  • [10] Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks
    Eid, Ahmad
    Kamel, Salah
    Abualigah, Laith
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (21): : 14327 - 14355