%0 Journal Article %A GUO Jiaxing %A WANG Jinmei %A ZHANG Haitong %T Scheduling Optimization Strategy Based on Virtual Power Plant for Multi-energy Collaborative System %D 2022 %R 10.12204/j.issn.1000-7229.2022.12.015 %J ELECTRIC POWER CONSTRUCTION %P 141-151 %V 43 %N 12 %X

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.

%U https://www.cepc.com.cn/EN/10.12204/j.issn.1000-7229.2022.12.015