• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2019, Vol. 40 ›› Issue (12): 96-103.doi: 10.3969/j.issn.1000-7229.2019.12.012

• 智能电网 • 上一篇    下一篇

基于机会约束规划的多PET互联的交直流配电网日前优化调度

傅守强1,2,陈翔宇1,2,王畅1,2,杨林1,2   

  1. 1.北京京研电力工程设计有限公司,北京市 100038;2.国网冀北电力有限公司经济技术研究院,北京市 100038
  • 出版日期:2019-12-01
  • 作者简介:傅守强(1986),男,硕士,工程师,主要从事电力系统分析、柔性直流输电方面的研究工作; 陈翔宇(1991),男,通信作者,硕士,工程师,主要从事电力系统分析、柔性直流输电方面的研究工作; 王畅(1992),女,硕士,初级师,主要从事泛在电力物联网及通信系统设计方面的工作; 杨林(1992),女,硕士,主要从事电力系统继电保护分析、直流输电等方面的研究工作。
  • 基金资助:
    国家重点研发计划项目(2016YFB0900500)

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).

摘要: 随着电力电子技术的发展,基于电力电子变压器(power electronic transformer,PET)构建可实现大范围互联的交直流配电网成为新的发展趋势。首先基于多PET应用于交直流配电网的应用场景,对其柔性调节作用进行了分析;其次,计及分布式电源日前预测出力的不确定性,构建了基于机会约束规划的多PET互联的交直流配电网日前优化调度模型;再次,利用蒙特卡洛方法模拟分布式电源出力的不确定性,采用粒子群优化算法对所提出的运行优化模型进行求解;最后,基于改进的IEEE 33节点算例对所提出的优化模型进行分析,通过与确定性运行优化模型进行比较,验证了所提模型的有效性和正确性。

关键词: 电力电子变压器(PET), 交直流配电网, 机会约束规划, 优化调度

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

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