• DocumentCode
    267605
  • Title

    A robust supply and demand controller against uncertainties of renewable energy sources

  • Author

    Sasaki, Yutaka ; Seikoba, Dai ; Okihara, Jun ; Kanaya, Kohei ; Zoka, Yoshifiimi ; Yorino, Naoto

  • Author_Institution
    Hiroshima Univ., Higashi-Hiroshima, Japan
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The rapid growth in demand of electricity combined with renewable energy sources (RESs) are presenting serious challenges for the optimal network operation. The future perspective of the dramatic increase in RESs, such as wind and solar energy, may lead to severe problems related to the load dispatch. Other important aspect is the reduction of controllable resources yielding concerns about the reliability issues of such sources. This paper focuses on a new technique for mitigating the irregularity associated with renewable power generation. A new method is proposed for 24-hour and real-time generation schedule as an efficient solution for demand and supply management over the limited control resources of a power system. Load following capability will be considered as critically limited. The flexible operational outcome of the proposed approach satisfies the economical requirements and reliability against uncertainties of RESs.
  • Keywords
    demand side management; power generation control; power generation scheduling; renewable energy sources; RES; demand and supply management; load following capability; power system control; real-time generation schedule; renewable energy sources; robust supply and demand controller; Generators; Load flow; Optimization; Probabilistic logic; Real-time systems; Schedules; Uncertainty; Generation Schedule (GS); Renewable Energy Resources (RESs); Time sequence Dynamic Feasible Region (TDF); Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Computation Conference (PSCC), 2014
  • Conference_Location
    Wroclaw
  • Type

    conf

  • DOI
    10.1109/PSCC.2014.7038416
  • Filename
    7038416