• DocumentCode
    2919300
  • Title

    Optimal allocation of wind turbine in multi carrier energy networks improving loss and voltage profile

  • Author

    Pazouki, Samaneh ; Mohsenzadeh, Amin ; Haghifam, Mahmood-Reza ; Talebian, Mohammad Ebrahim

  • Author_Institution
    Islamic Azad Univ., Tehran, Iran
  • fYear
    2013
  • fDate
    28-30 Nov. 2013
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    Smart grid enables Distributed Energy Resources (DERs); wind, energy storage and demand response through advanced technologies. Combined Heat and Power (CHP) is great example of the technologies which allows coupling of independent energy networks together. Energy Hub (EH) has been originated as a new approach to optimal planning and operation of combined networks in recent years. Wind turbine as an important of distributed generation in the world as beenh integrated to electricity network over two past decades. Optimal placement of wind turbine in multi carrier energy network in presence of CHP as another distributed produce source originates novel challenge which is considered in this paper. A multi objective function is formulated to solve the optimization problem with considering multi carrier energy network operation costs, loss and voltage profile. Simulation carries out a 33 bus radial distribution network which is supplied with CHP in some buses. CPLEX solver of GAMS and Genetic Algorithm of MATLAB is employed to solve the problem. Simulation results reveal optimal allocation of wind turbine in multi carrier energy networks in presence of CHP. Results demonstrate that optimal placement of wind turbine in the systems improves operation costs till 8% and loss power till 5%. It also enhances voltage profile till 0.5%.
  • Keywords
    cogeneration; distributed power generation; genetic algorithms; power distribution planning; power generation planning; smart power grids; wind turbines; 33-bus radial distribution network; CHP; CPLEX solver; DER; EH; GAMS; Matlab; combined heat and power; combined network operation; demand response; distributed energy resources; distributed generation; distributed produce source; energy hub; energy storage; genetic algorithm; loss improvement; multicarrier energy networks; multiobjective function; operation cost; optimal allocation; optimal planning; optimization problem; smart grid; voltage profile; wind turbine optimal placement; Biological cells; Cogeneration; Electricity; Linear programming; Optimization; Planning; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
  • Conference_Location
    Bursa
  • Print_ISBN
    978-605-01-0504-9
  • Type

    conf

  • DOI
    10.1109/ELECO.2013.6713805
  • Filename
    6713805