Study on Technical and Economic Integration Assessment Based on Transmission Planning

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 226)


In engineering, technology assessment and economic evaluation in transmission expansion separate planning scheme selection. It cannot fully assess planning scheme. This paper presents a new transmission planning method based on the technology and economic integration assessment and establishes the evaluation index system for an organic whole. Considering the influence of uncertainty factors, the synthetic sensitivity analysis method is put forward. The project example shows that the technology and economic integration transport planning evaluation method is feasible, and this method can effectively overcome the defect of the choice of economic transmission.


Technical and economic assessment Technology assessment Transmission planning 


  1. 1.
    Wang XF (1990) Electric power system optimization and planning. Water Conservancy and Electric Power Press, China 31(4):34–39Google Scholar
  2. 2.
    Espuma E, Samuel S (2006) Economic criteria for planning transmission investment in restructured electricity markets. Available: uneconomic criteria for planning 22(9):23–27Google Scholar
  3. 3.
    Awed M, Broad S, Encase K (2004) The California ISO transmission economic assessment methodology. Available 13(5):45–49Google Scholar
  4. 4.
    Baojun H, Jingnan S (2003) Study on economic appraisal approach of power network construction. Electr power Constr 44(2):45–48Google Scholar
  5. 5.
    Xu GH (1991) Electric power system optimal planning. Hashing University of Science and Technology Press, China 57(8):27–33Google Scholar
  6. 6.
    Laborer G, Cruz RD, Aria JM, Villegas A (2003) Classification of publication and models on transmission expansion planning. IEEE Trans Power Syst 16(18):938–946Google Scholar
  7. 7.
    Zhang TF , Yuan JS, Kong YH (2006) An approach based on AHP/ELECTRE for decision-aid in power distribution system planning. In: Proceedings of CSEE 78(11):121–127Google Scholar
  8. 8.
    Mooch JA, Zhu JZ (2003) Optimal generation scheduling based on AHP/ANP. In: Proceedings of IEEE transactions systems, man, and cybernetics-Part B 13(33):531–535Google Scholar
  9. 9.
    Xiao J, Wang CS, Zhou M (2004) An IAHP-based MADM method in urban power system planning. In: Proceedings of CSEE 18(4):50–57Google Scholar
  10. 10.
    Ciwei G, Haozhong C, Xu W (2004) The application of fuzzy evaluation of blind information in electric network planning. In: Proceedings of CSEE 49(23):24–29Google Scholar
  11. 11.
    Ma Y, Wang Z, Yang Z, Lava C (2003) Fuzzy comprehensive method for gas turbine evaluation. In: Proceedings of CSEE 10(9):218–220Google Scholar
  12. 12.
    Sun W, Niu DX, Shen HY (2005) Comprehensive evaluation of power plants’ competition ability with BP neural networks method. In: Proceedings of the fourth international conference on machine learning and cybernetics 121(34):4641–4644Google Scholar
  13. 13.
    Xiaodong Y, Jianfeng Z, Guoqing T (2004) Multi-level fuzzy comprehensive evaluation of power quality. In: Proceedings of IEEE international conference on electric utility deregulation, restructuring and power technologies 11(17):290–294Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Tianjin University of Science and TechnologyTianjinChina

Personalised recommendations