Innovative Application of Mobile Energy Storage Vehicle System Based on Multi-source Data Fusion in Oil & Gas and New Energy Collaborative Networks
Qi Wang, Xiao Han, Junliang Qian · 2025
Under the global energy transition, the integrated development of oil & gas and new energy has become a critical pathway to achieve the “dual carbon” goals. Current energy supply in oil and gas fields faces two major challenges: (1) Structural imbalance in energy, where diesel power generation accounts for 35% with a carbon intensity of 0.85 kgCO2/kWh, conflicting with low-carbon objectives; (2) Insufficient flexibility of fixed energy storage systems to enable cross-network collaborative dispatching. To address these issues, this paper proposes a mobile energy storage vehicle (MESV) system based on multi-source data fusion. By establishing a spatio-temporal collaborative energy optimization framework via a transportation-energy network coupling model, the system integrates a traffic-energy coupling engine and an MESV dispatching module. Key technologies include: (1) Multi-dimensional energy management, utilizing Telematics Box (T-Box) for real-time battery state monitoring and dynamic optimization algorithms to adjust charging/discharging strategies, enhancing system reliability and lifespan; (2) Multi-objective optimization configuration, employing Long Short-Term Memory (LSTM) to predict regional load and renewable energy output (error%) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) to generate Pareto front solutions, balancing operational costs, reliability, and environmental impact; (3) Dynamic route adjustment, integrating real-time traffic data to optimize dispatching efficiency. Application scenarios include: (1) Providing flexible power supply for remote oil and gas fields, replacing diesel generators to reduce carbon emissions; (2) Participating in grid peak-shaving and frequency regulation to mitigate load fluctuations and serve as emergency power sources during contingencies; (3) Collaborating with wind and solar energy for spatio-temporal energy transfer, achieving multi-energy complementarity, reducing renewable curtailment, and improving utilization efficiency.