Energy consumption has become a serious problem in high-performance computing (HPC) systems. Parallel loops often occupy a significant part of the execution time of overall parallel programs. Thus, reducing their energy consumption is the key to the reduction in energy consumption of the program. This paper discusses energy optimization in OpenMP loop scheduling, which is a method of optimizing...

Recently, photovoltaic (PV) with energy storage systems (ESS) have been widely adopted in buildings to overcome growing power demands and earn financial benefits. The overall cost can be optimized by combining a well-sized hybrid PV/ESS system an efficient management (EMS). Generally, EMS is implemented within the functions of Building Automation System (BAS). However, due its limited computing...

Autonomous underwater vehicles (AUVs) have been developed and used in research to perform various tasks such as marine surveys the collection of bathymetric data certain areas that are difficult for humans access, deep seas. Because AUVs limited terms their execution require an extensive amount energy, unmanned surface (USVs) launch recovery systems (LARS) jointly transport task sites well reco...

The placement of energy storage systems (ESS) in smart grids is challenging due to the high complexity underlying model and operational datasets. In this paper, non-parametric multivariate statistical analyses operations base contingency scenarios are carried out address these issues. Monte Carlo simulations optimization process for overall cost involving unit commitment dispatch decisions perf...

Electric vehicles (EVs) are gradually becoming an integral part of the drive to accomplish sustainable energy standards. Due their limited onboard battery capacity, EVs’ expanding popularity creates a need for widespread charging stations. However, fast stations, particularly Extreme Fast Charging (EFC), may impose hassle on electrical system due overload during peak hours, frequent power gaps,...

This study presents a new approach for optimal allocation of distributed generation (DG) and energy storage system (ESS) in microgrids (MGs). The practical optimal allocation problems have non-smooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult using any mathematical approaches. A dynamic capacity adjustment algorithm is i...

Frequency regulation is essential for the stability of a power grid with high load fluctuation and integration of new energies. Constrained by the large ramping, a generator alone is not capable of conducting load frequency controls effectively and economically. In this paper, an energy storage system (ESS) is introduced to coordinate with generators in automatic generation control (AGC), where...

This paper contributes to the energy management of a Hybrid Energy Storage System (HESS), comprising lithium-ion battery and Supercapacitors (SCs) for grid-connected photovoltaic system. In general, an (ESS) can offset intermittency renewable energy. However, ESS absorb large amounts with slow dynamics, but only fast dynamics when subjected high currents, which quickly their wear. To avoid this...