Open AccessOptimal Scheduling Model of Virtual Power Plant and Thermal Power Units Participating in Peak Regulation Ancillary Service in Northeast China
Author(s) -
Hongpeng Zhang,
Dan Li,
Zengyao Tian,
Liang Guo,
Jie Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1887/1/012046
Subject(s) - virtual power plant , frequency regulation , scheduling (production processes) , china , thermal power station , grid , power grid , matlab , environmental economics , power (physics) , computer science , operations research , electric power system , business , economics , operations management , engineering , renewable energy , electrical engineering , distributed generation , mathematics , geography , physics , geometry , archaeology , quantum mechanics , operating system
In recent years, the rapid development of wind power generation and the low load growth rate have brought challenges to the peak regulation of power grid in Northeast China. In order to solve the peak regulation problem, virtual power plant (VPP) is proposed to participate in the peak regulation auxiliary service market in Northeast china, especially for deep peak regulation. Firstly, two modes of peak regulation in Northeast China are introduced in this paper, which are thermal power unit and VPP. With the definition of the peak regulation capacity for VPP, the Optimal Scheduling Model of VPP participating in peak regulation ancillary service is established. The simulations are carried out in MATLAB. The results show that the economy of peak regulation is significantly improved in peak regulation auxiliary service based on VPP.