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Coordinated Planning of Source and Network in Active Distribution System with Demand Response and Optimized Operation Strategy
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Affiliation:

Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University), Tianjin 300072, China

Abstract:

In the coordinated planning process of distributed generator (DG) and network structure of active distribution system, it is difficult to consider their interaction in the operation process simutaneously. To solve this problem, a mathematical model and solving algorithm for multi-agent balance of interest considering planning and operation alternative optimization are proposed. Firstly, considering demand response and operation strategy, a tri-level optimization framework and mathematical model based on the optimal cost-effectiveness of distribution network and DG are established. Secondly, the network simplification method based on topological equivalence principle is presented. Based on the in-depth analysis of the topological structure variation in the network structure generation process, a rapid generation strategy for link and loop network based on broken circle method is proposed. Then an encoding/decoding scheme of particle swarm optimization is developed. Thirdly, based on the load characteristics and demand response willingness of customers, an optimization method and operation strategy for dynamic time-of-use price are proposed, and coordinated planning solution process of the source and network considering the operation optimization is presented. Finally, the efficiency and practicability of the method are demonstrated on a practical system.

Keywords:

Foundation:

This work is supported by National Key R&D Program of China (No. 2016YFB0900401) and National Natural Science Foundation of China (No. 51477116).

Get Citation
[1]LIU Hong, ZHENG Nan, GE Shaoyun, et al. Coordinated Planning of Source and Network in Active Distribution System with Demand Response and Optimized Operation Strategy[J]. Automation of Electric Power Systems,2020,44(3):89-97. DOI:10.7500/AEPS20190312010
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History
  • Received:March 12,2019
  • Revised:May 27,2019
  • Adopted:
  • Online: February 14,2020
  • Published: