• 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 (12): 141-151.doi: 10.12204/j.issn.1000-7229.2022.12.015

• Energy Management and Scheduling • Previous Articles     Next Articles

Scheduling Optimization Strategy Based on Virtual Power Plant for Multi-energy Collaborative System

GUO Jiaxing(), WANG Jinmei(), ZHANG Haitong()   

  1. School of Physics and Electrical and Electronic Engineering, Ningxia University, Yinchuan 750021, China
  • Received:2022-05-06 Online:2022-12-01 Published:2022-12-06
  • Contact: WANG Jinmei E-mail:2388583699@qq.com;wang_jm@nxu.edu.cn;1255089653@qq.com
  • Supported by:
    National Natural Science Foundation of China(52167006);Autonomous Region Natural Science Foundation of Ningxia(2019AAC03027)


At present, the operation process of traditional energy system lacks diversified optimization methods for energy supply and demand, lacks flexible peak-regulation strategies, and is prone to pollution. However, the precise supply of virtual power plants provides a development direction for the transformation of energy architecture. This paper proposes a multi-energy collaborative system scheduling optimization model based on virtual power plant. Firstly, by introducing environmental governance subsystem cooperates with the electric-heat-gas integrated energy system to cooperate with electric-thermal energy storage devices, power to gas (P2G) equipment and energy trading markets, giving virtual power plants the more flexible information regulation means. Secondly, the paper established two different system operation modes to compare, and finally using MATLAB+CPLEX to simulate and verify the mathematical model. According to the results, compared with the operation mode of electricity-heat-gas energy system, the multi-energy collaborative control system of virtual power plant under optimal capacity configuration has better economy and environmental protection, and has a significant effect on improving the conversion rate of renewable resources, alleviating the phenomenon of abandoned wind and solar energy and excessive carbon emissions.

Key words: environment governance subsystem, multi-energy collaborative system, power to gas (P2G), carbon emission, virtual power plant

CLC Number: