A Review of Scheduling Optimization Techniques for Oilfield Multi-energy Microgrid

Influenced by the current energy resources environment, oilfield multi-energy microgrid is an important infrastructure to realize energy efficient utilization and management, and its scheduling optimization has attracted increasing attention. Oilfield multi-energy microgrid not only needs to deal with complex energy supply and demand problems, but also faces many challenges such as system stability, economy and environmental impact. The paper reviews the progress in this field. First, introduce the basic structure of the field multi-energy microgrid and its main challenges, including the uncertainty of energy supply and the high complexity of the system. Next, explore the research on stochasticity and uncertainty modeling, and analyze how to cope with energy demand fluctuations and supply instability through stochastic planning and robust optimization methods. Then, the core problem of multi-objective optimization is discussed, and the problem of balancing multiple objectives, including economy, low carbon, safety and stability is emphasized. Finally, the paper summarizes the requirements of intelligent optimization algorithm in oilfield multi-energy microgrid scheduling, especially in dealing with the timeliness and uncertainty of the algorithm. By summarizing the existing technologies and methods, the paper aims to provide new ideas and effective technical solutions for the scheduling optimization of oilfield multi-energy microgrid.