Day-ahead coordination scheduling of grid structure and DG active power output in distribution network based on bi-level programming
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(1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083,China; 2. China Electric Power Research Institute, Beijing 100192,China)

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TM73

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    Abstract:

    In order to solve day-ahead optimization scheduling problem in active distribution network and achieve coordination scheduling of grid structure and active power outputs of distributed generations (DGs), load-DG equivalent load curve is divided by improved fuzzy clustering analysis, and the partition results are adjusted on the basis of DGs outputs dynamically; a bi-level programming model dispatching grid structure and DGs outputs coordinately are presented based on chance constrained programming. The experiment results show that network reconfiguration and the scheduling of DG active power output influence each other. The scheduling of DG output can reduce the switch action and prolong the life cycle of switches, and network reconfiguration can increase DGs penetration and enhance the ability of DGs absorption. The method of this paper can deal with the load variation effectively, and distribution network assets and DGs can be utilized comprehensively.

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History
  • Received:June 29,2015
  • Revised:
  • Adopted:
  • Online: October 04,2016
  • Published:
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