Optimal Scheduling Method of Virtual Power Plant Based on Model Predictive Control

Author:

Ye Hong1,Huang Honghui2,He Yan3,Xu Min4,Yang Yantian2,Qiao Yilin5

Affiliation:

1. Sci-tech information branch Jinhua Bada Group Co. LTD,Jinhua,China

2. LTD. Jinhua Power Supply Company,Development Planning Department State Grid Zhejiang Electric Power Co.,Jinhua,China

3. State Grid Zhejiang Electric Power Co, LTD. Jinhua Power Supply Company,Development Planning Department,Jinhua,China

4. None State Grid Shanghai Electric Power Company Economic and Technological Research Institute,Shanghai,China

5. School of Electrical Engineering Zhejiang University,Hangzhou,China

Publisher

IEEE

Reference8 articles.

1. Research on new flexible resource market mechanism: for high proportion renewable energy system [J/OL];Junhao;Journal of Beijing institute of technology (social science edition)

2. The new distribution system distributed resource scheduling research status and prospect [J/OL];Meiqi;Grid technology,2023

3. Two-layer scheduling strategy for virtual power plant considering uncertainty risk of new energy output [J/OL];Xueting;Modern power,2023

4. Investigating the Impact of External Demand Response Flexibility on the Market Power of Strategic Virtual Power Plant

5. Considering cogeneration virtual power plant operation optimization of high-dimensional uncertainty [J];Zhiwei;Journal of power engineering,2023

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