Intelligent optimization of reactive voltage in power grid including PV

Conference: AIIPCC 2022 - The Third International Conference on Artificial Intelligence, Information Processing and Cloud Computing
06/21/2022 - 06/22/2022 at Online

Proceedings: AIIPCC 2022

Pages: 5Language: englishTyp: PDF

Authors:
Jiang, Lei; Li, Peng; Wang, Jiahao (North China Electric Power University, Baoding, China)
Liu, Dongsheng; Du, Zhenbin; Zhang, Dong; Pan, Youpeng (Baoding Tianwei Baobian Electric Co., Ltd., Baoding, China)

Abstract:
Under the target of "carbon neutral and carbon peak", a large number of PV devices are connected to the power grid, which brings the problem of frequent fluctuation of power grid voltage. The existing reactive voltage optimization methods of power grid rely on accurate power grid model, and the real-time computing ability is difficult to adapt to the frequent voltage fluctuation of power grid including PV. In order to make full use of the reactive power regulation ability of PV, this paper proposes a reactive voltage optimization method including PV. Firstly, a reactive power regulation model of PV with the discrete PV reactive power output is established. Secondly, aiming to minimize voltage deviation and network loss, this paper builds the reactive voltage optimization model including PV based on DQN algorithm. Finally, an example is given to verify the correctness and effectiveness of the proposed method.