Journal of Electrical Engineering & Technology

, Volume 14, Issue 6, pp 2263–2275 | Cite as

Hybrid Evaluation Method for Dispatching Control Level of Smart Distribution Network

  • Yu-Qian Wang
  • Leijiao GeEmail author
  • Na Zhang
Original Article


Smart distribution network (SDN) is an important part of smart grid (SG), and its dispatching control level is closely related to the safety and reliability of power system. In order to comprehensively and systematically evaluate the dispatching and control level of smart distribution network, this paper constructs an evaluation index system based on the considerations of reliability, economy, effectiveness, adaptability and cleanness. Taking into account the disadvantages of subjective weighting methods and the objective weighting methods, this paper puts forward a kind of subjective and objective mixed evaluation method for dispatching control level of SDN. In view of the great influence of expert opinions of subjective weighting method and the high data dependence of objective weighting method, the binomial coefficient method of subjective weighting is combined with the multi-objective programming method of objective weighting to give weight to each index in the comprehensive evaluation index system of dispatching control level of SDN. Case studies verify the proposed method has great significance to the evaluation of the dispatching control level of SDN. It can effectively evaluate the dispatching level of SDN and provide a reference for the improvement of the dispatching control level of SDN.


Binomial coefficient method Dispatching control Hybrid evaluation method Multi-objective programming method Smart distribution network 



This work is supported in part by the National Natural Science Foundation of China (51807314).


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Copyright information

© The Korean Institute of Electrical Engineers 2019

Authors and Affiliations

  1. 1.Key Laboratory of Smart Grid of Ministry of EducationTianjin UniversityTianjinChina
  2. 2.Department of Electrical EngineeringInner Mongolia University of TechnologyHohhotChina

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