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

doi:10.12204/j.issn.1000-7229.2022.12.015

Abstract

Abstract:

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:

TM734

GUO Jiaxing, WANG Jinmei, ZHANG Haitong. Scheduling Optimization Strategy Based on Virtual Power Plant for Multi-energy Collaborative System[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(12): 141-151.

Figures/Tables 17

Fig.1 Operational framework of multi-energy collaborative system under VPP control

Fig.2 Operational framework of environmental governance subsystem

Fig.3 Forecast powers of wind-solar generation

Table 1 Time-of-use electricity price

Table 2 Parameters related to the systems

Table 3 Comparison of the operation status of two scenarios

Table 4

Table 5 Comparison on environment protection of two scenarios

Table 6 Comparison of EGS configuration planning

Fig.4 Analysis of EGS capacity configuration

Fig.5 Intraday output for optimal capacity configuration of EGS equipment

Fig.6 Energy production or consumption of each unit of the power subsystem

Fig.7 Energy production or consumption of each unit of the thermal subsystem

Fig.8 Summary of operating energy consumption of exhaust gas treatment devices

Fig.9 Summary of operating energy consumption of carbon collection and processing stations

Fig.10 Summary of carbon treatment, storage and emissions

Fig.11 Equivalent/net output of EGS capacity equipment

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