• DocumentCode
    648255
  • Title

    Integrating demand-side resources into distribution system planning: A proposal under commercial energy service environment

  • Author

    Bo Zeng ; Xu Yang ; Yuying Zhang ; Jianhua Zhang ; Wenxia Liu ; Jun Dong

  • Author_Institution
    State Key Lab. for Alternate Electr. Power Syst. with Renewable Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Coordinating electricity sales with DSM implementation at planning stage after the integration of commercial energy services have become a significant issue for the decision-makers of utilities. Under this background, a novel Grid-side Integrated Resource Planning (GIRP) paradigm is proposed in this paper. Through the identification of key elements induced by the energy service and the interdependence of decision-making of the main grid and its affiliated energy service companies (ESCOs), a bilevel coordinated planning model is developed to achieve globally optimal investment by making use of the synergetic effect. A bee colony complementary hybrid algorithm (BCCA) is also proposed by introducing nonlinear complementarity function to tackle the inefficiency of solving bilevel optimization problems. The results of case study indicate the superiority of GIRP in terms of its better economic benefits and environmental effects and also the improved efficiency of the proposed algorithm.
  • Keywords
    decision making; investment; nonlinear programming; power distribution economics; power distribution planning; power grids; BCCA; DSM implementation; ESCO; GIRP paradigm; bee colony complementary hybrid algorithm; bilevel coordinated planning model; bilevel optimization problems; commercial energy service environment; decision-making; demand-side resources; distribution system planning; economic benefits; electricity sales coordination; energy service companies; globally optimal investment; grid-side integrated resource planning paradigm; main grid; nonlinear complementarity function; synergetic effect; Noise measurement; Planning; Substations; Tin; Bee Colony Complementary Hybrid Algorithm; Bilevel Programming; Demand Side Resource; Energy Services; Grid-side Integrated Resource Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672827
  • Filename
    6672827