• 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 ›› 2021, Vol. 42 ›› Issue (4): 1-8.doi: 10.12204/j.issn.1000-7229.2021.04.001

• Intelligent Perception and Power Quality Improvement for Distribution Network ·Hosted by Professor TANG Wei· • Previous Articles     Next Articles

Chance-Constrained Dynamic Economic Dispatch Method for Active Distribution Networks

HE Huiqing1, QIAN Yun1, HE Bingyuan1, HE Lezhang1, WANG Bin2, ZHOU Zhemin2   

  1. 1. Shangrao Power Supply Branch of State Grid Jiangxi Electric Power Co., Ltd., Shangrao 334000,Jiangxi Province, China
    2. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
  • Received:2020-09-02 Online:2021-04-01 Published:2022-07-27
  • Supported by:
    National Natural Science Foundation of China(51725703)


The integration of large-scale distributed generation requires dynamic economic dispatch to reduce the total operational cost of active distribution networks. With the wide penetration of renewable energy in distribution network, great challenges have been addressed on the accuracy of economic dispatch with the concern of uncertainty. This paper proposes a stochastic dynamic economic dispatch model of active distribution network, in which the uncertainties of distributed generation output and load forecasting are incorporated. This model becomes a chance-constrained optimization problem and cannot be directly solved. In this paper, authors describe a relaxation algorithm to relax it as a deterministic mixed second order cone programming model. Numerical tests on IEEE 33-node distribution network shows that the model can be effectively solved with predefined constraint-violating-rate, and this method outperforms the traditional robust optimization model.

Key words: active distribution network, dynamic economic dispatch, distributed generation, chance constrained

CLC Number: