• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2019, Vol. 40 ›› Issue (12): 96-103.doi: 10.3969/j.issn.1000-7229.2019.12.012

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Day-Ahead Optimal Scheduling of AC /DC Hybrid Distributed Energy System with Multi-Power Electronic Transformer Adopting Chance-Constrained Programming

FU Shouqiang1,2, CHEN Xiangyu1,2, WANG Chang1,2, YANG Lin1,2   

  1. 1.Beijing Jingyan Electric Power Engineering Design Co., Ltd., Beijing 100038, China;2.State Grid Jibei Economic Research Institute, Beijing 100038, China
  • Online:2019-12-01
  • Supported by:
    This work is supported by National Key Research and Development Program of China(No.2016YFB0900500).

Abstract: With the development of power electronics technology, it has become a new development trend to build hybrid AC/DC distribution network which can realize large-scale interconnection by power electronic transformer (PET). Firstly, for the application scenario of multi-PET in hybrid AC/DC distribution network, the flexible regulation function is analyzed. Secondly, considering the uncertainty of the day-ahead forecast output of distributed power supply, the day-ahead optimal scheduling model of the multi-PET interconnected hybrid AC/DC distribution network based on opportunity constraint programming is constructed. Thirdly, Monte Carlo method is used to simulate the uncertainty of distributed power supply output, and particle swarm optimization algorithm is used to solve the proposed optimization model. Finally, on the basis of the improved IEEE 33-node calculation example, the proposed optimization model is analyzed, and the validity and correctness of the proposed model are verified by comparing with the deterministic operation optimization model.

Key words: power electronic transformer, hybrid AC/DC distribution network, chance-constrained programming, optimal scheduling

CLC Number: