IEEE - Institute of Electrical and Electronics Engineers, Inc. - A Data-Driven Stochastic Reactive Power Optimization Considering Uncertainties in Active Distribution Networks and Decomposition Method

Author(s): Tao Ding ; Qingrun Yang ; Yongheng Yang ; Cheng Li ; Zhaohong Bie ; Frede Blaabjerg
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 September 2018
Volume: 9
Page(s): 4,994 - 5,004
ISSN (Electronic): 1949-3061
ISSN (Paper): 1949-3053
DOI: 10.1109/TSG.2017.2677481
Regular:

To address the uncertain output of distributed generators for reactive power optimization in active distribution networks, the stochastic programming model is widely used. The model is employed to... View More

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