Joint Optimization Strategy for Energy Consumption of Data Center and Electric Vehicles Considering Competitive Preference

doi:10.12204/j.issn.1000-7229.2023.03.009

Abstract

Abstract:

The use of on-site renewable energy is beneficial to the data center to reduce energy costs and carbon emissions, but the intermittent output of renewable energy will lead to the ineffective use of some on-site renewable energy. According to the adjustable characteristics of data center load, this paper designs a joint renewable energy consumption mechanism between data center operators and electric vehicle operators, so as to achieve the utilization of residual renewable energy. According to Stackelberg game theory, this paper fully considers the competitive preference behavior of multiple subjects, and establishes a single model of energy service providers' consignment and a multiple model that considers the combination of direct electricity sales and energy service providers' consignment. According to the demand of daily charging load of electric vehicle charging station and the comparison of advantages of the two modes, a joint optimization strategy for energy consumption of data center and electric vehicles considering competitive preference is finally proposed. Simulation and analysis results show that the optimization strategy adopted in this paper has good economic benefits.

Key words: data center, renewable energy consumption, competitive preference, Stackelberg game, electric vehicle

CLC Number:

TM73

ZHANG Xiangcheng, LIU Fei, TIAN Xu, WANG Shibin, DU Yabin, LI Bin. Joint Optimization Strategy for Energy Consumption of Data Center and Electric Vehicles Considering Competitive Preference[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(3): 85-92.

Figures/Tables 11

Fig.1 System architecture

Fig.2 Single mode

Fig.3 Multiple mode

Fig.4 Joint energy consumption strategy process considering the relationship between supply and demand

Table 1 System key parameter setting

Fig.5 Daily charging load of charging station

Fig.6 Data center energy utilization

Table 2 Multi-mode trading time under different preference

Fig.7 The relationship between competitive preference and revenue in different trading scenarios

Fig.8 Revenue analysis of each scenarios under different price elasticity coefficients

Fig.9 24-hour revenue of each scenario

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