• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2022, Vol. 43 ›› Issue (4): 119-129.doi: 10.12204/j.issn.1000-7229.2022.04.013

• Smart Grid • Previous Articles     Next Articles

Optimal Dispatch of Multi-energy Virtual Power Plant Considering Time-of-Use Electricity Price and CSP Plant

ZHAO Lingxia(), WANG Xinggui(), DING Yingjie(), GUO Yongji(), LI Jinjian()   

  1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
  • Received:2021-11-11 Online:2022-04-01 Published:2022-03-24
  • Contact: ZHAO Lingxia E-mail:zhaolingxia@163.com;wangxg689@126.com;dingyj0820@126.com;guoyj0605@163.com;lijinjian0326@163.com
  • Supported by:
    Natural Science Foundation of Gansu Province(21JR7RA205)


In view of the impact of distributed photovoltaic and wind power grid-connection on power grid dispatching and operation, a multi-energy virtual power plant (VPP) including photovoltaic, solar thermal power, wind power and energy storage batteries is constructed by combining energy storage batteries with the flexibility of concentrating solar power plant (CSP). According to the characteristics of CSP and energy storage battery, the operation strategy is formulated according to time-of-use (TOU) electricity price, and a two-stage optimal dispatching model of virtual power plant is established with the goal of maximizing the net income in each period. In the day-ahead scheduling, it optimizes the CSP output and formulates the declaration and output plan by considering the TOU electricity price and sunlight factors. In the real-time scheduling, the deviation of wind power and photovoltaic output is corrected by using the charge and discharge of thermal storage system, CSP is assisted by energy storage battery to adjust the deviation, and the adaptive particle swarm optimization algorithm is used to optimize the output of each unit. Finally, the rationality of the model and the feasibility of the operation strategy are verified by simulation. The results show that the combined regulation of CSP and energy storage battery can effectively reduce the deviation of real-time output tracking declared output of virtual power plant and improve economic benefits.

Key words: virtual power plant(VPP), concentrating solar power, time-of-use electricity price, adaptive particle swarm optimization, optimal scheduling

CLC Number: