Abstract It is vital to optimize the drilling trajectory reduce possibility of accidents and boosting efficiency. Previously, wellbore was optimized using true measured depth well profile energy as objective functions without considering uncertainty between actual planned trajectories. Without an effective management associated with planning, process becomes more complex. Prior techniques have ...

An optimal energy mix of various renewable sources and storage devices is critical for a profitable reliable hybrid microgrid system. This work proposes optimization method to assess the wind, photovoltaic, battery system development. study considers hybridization Non-dominant Sorting Genetic Algorithm II (NSGA II) Grey Wolf Optimizer (GWO). The objective function was formulated simultaneously ...

Optimization methods for a hybrid microgrid system that integrated renewable energy sources (RES) and supplies reliable power to remote areas, were considered in order overcome the intermittent nature of RESs. The AC/DC was constructed with solar photovoltaic system, wind turbine, battery storage, converter, diesel generator. There is steady increase utilization microgrids; consequently, it nec...

The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from hunting behavior wolf packs. GWO’s appeal lies in its remarkable characteristics: it is parameter-free, derivative-free, conceptually simple, user-friendly, adaptable, flexible, and robust. Its efficacy been demonstrated across a wide range optimization problems diverse ...