• DocumentCode
    1719239
  • Title

    A semi-decentralized solution for the economic dispatch with transmission losses using a JASON-based multiagent system

  • Author

    Serna-Suarez, I.D. ; Ordonez-Plata, G. ; Carrillo-Caicedo, G.

  • Author_Institution
    Electron. y de Telecomun., Univ. Ind. de Santander, Bucaramanga, Colombia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Distributed calculation of an economic dispatch can be used for efficient resource allocation in a power distribution system with local generation. The lossless dispatch can be implemented in a fully decentralized way, however, because the impact on real losses in a power distribution systems cannot be neglected, this kind of calculations might lead to suboptimal solutions. This work proposes a semi-decentralized algorithm that solves the economic dispatch with transmission losses. The algorithm was implemented in a multiagent system (MAS) with JASON programming language, using a Contract Net Protocol (CNP) to adjust power output of each generator. CNP algorithm implemented has a good behavior under unconstrained conditions, but further researches are needed to calculate the optimum if capacity constraints are included.
  • Keywords
    distribution networks; losses; multi-agent systems; power generation dispatch; power generation economics; protocols; CNP; JASON programming language; MAS; capacity constraints; contract net protocol; distributed calculation; economic dispatch; lossless dispatch; multiagent system; power distribution system; resource allocation; semi-decentralized algorithm; transmission losses; Economics; Generators; Multi-agent systems; Optimization; Propagation losses; Protocols; Smart grids; Consensus algorithm; economic dispatch with transmission losses; multiagent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2015 12th International Conference on the
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/EEM.2015.7216664
  • Filename
    7216664