Day Ahead Optimal Dispatch of Multi-energy Power System Based on Generating Virtual Net Load

被引：0

作者：

Xiao B. ^{[1
]}

Yu L. ^{[1
]}

Liu H. ^{[1
]}

Yan G. ^{[1
]}

Dong L. ^{[2
]}

Wang M. ^{[2
]}

Yang H. ^{[2
]}

机构：

[1] School of Electrical Engineering, Northeast Electric Power University, Jilin

[2] State Grid Qinghai Electric Power Company, Xining

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2021年 / 41卷 / 21期

关键词：

Flexibility; Generative adversarial networks; Multi-energy power system; Optimal scheduling; Renewable energy consumption; Virtual net load;

D O I：

10.13334/j.0258-8013.pcsee.201684

中图分类号：

学科分类号：

摘要：

In order to realize the maximum utilization of renewable energy in the multi-energy power system including wind power, photovoltaic, hydropower, thermal power and pumped storage, a day ahead optimization dispatch method for multi-energy power system based on generating virtual net load was proposed. Firstly, the time series of wind power and photovoltaic output power were modeled respectively by using the improved generative adversarial networks. Secondly, the virtual net load was defined and the virtual net load of the target power system was calculated. Thirdly, the optimal scheduling model with the goal of maximum renewable energy consumption based on virtual net load was constructed by considering the operation characteristics and flexibility of multi-energy power system, and the scheduling model was solved by the improved adaptive genetic algorithm. Finally, the correctness and effectiveness of the proposed method were verified by an example of a project in Northwest China. © 2021 Chin. Soc. for Elec. Eng.

引用

页码：7237 / 7248

页数：11

共 28 条

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