Distributed Transmission-Distribution Coordinated Economic Dispatch

  • Zhengshuo LiEmail author
Part of the Springer Theses book series (Springer Theses)


ED is an important tool for optimally exploiting generation resources and evaluating LMPs. Currently, however, ED is separately performed by a TCC and a DCC. As analyzed in Chap. 1, this separate ED mode confronts, such as: (a) The TPS and DPS generation resources cannot be optimally exploited; (b) Unnecessary congestion, which should have been avoided via a coordination of the TPS and the DPS, may take place with skewed LMPs that undermines the fairness of the ED results and impairs the interests of consumers and generation companies; (c) As the Transmission ED (T-ED) and the Distribution ED (D-ED) are performed separately, large power mismatches may occur at boundary buses, which must be remedied by subsequent regulations and inevitably leads to additional operational costs.


  1. 1.
    Kargarian A, Fu Y (2014) System of systems based security-constrained unit commitment incorporating active distribution grids. IEEE Trans Power Syst 29(5):2489–2498CrossRefGoogle Scholar
  2. 2.
    Li Z, Guo Q, Sun H, Wang J (2016) Sufficient conditions for exact relaxation of complementarity constraints for storage-concerned economic dispatch. IEEE Trans Power Syst 31(2):1653–1654CrossRefGoogle Scholar
  3. 3.
    Fiacco AV, Ishizuka Y (1990) Sensitivity and stability analysis for nonlinear programming. Ann Oper Res 27(1–4):215–236MathSciNetCrossRefzbMATHGoogle Scholar
  4. 4.
    Lai XW, Xie L, Xia Q et al (2015) Decentralized multi-area economic dispatch via dynamic multiplier-based lagrangian relaxation. IEEE Trans Power Syst 30(6):3225–3233CrossRefGoogle Scholar
  5. 5.
    Biskas PN, Bakirtzis AG, Macheras NI et al (2005) A decentralized implementation of DC optimal power flow on a network of computers. IEEE Trans Power Syst 20(1):25–33CrossRefGoogle Scholar
  6. 6.
    Tosserams S, Etman L, Papalambros PY et al (2006) An augmented Lagrangian relaxation for analytical target cascading using the alternating direction method of multipliers. Struct Multidisc Optim 31(3):176–189MathSciNetCrossRefzbMATHGoogle Scholar
  7. 7.
    Illinois Institute of Technology, Electrical and Computing Engineering Dept. IEEE118_data.xls [EB/OL]. [2012-8].

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Tsinghua-Berkeley Shenzhen InstituteTsinghua UniversityShenzhenChina

Personalised recommendations