Increasing of net energy storage (Q net) and discharge time of phase change material (t PCM), simultaneously, are important purpose in the design of solar systems. In the present paper, Multi-Objective (MO) based on hybrid of Particle Swarm Optimization (PSO) and multiple crossover and mutation operator is used for Pareto based optimization of solar systems. The conflicting objectives are Q net...

Range anxiety and battery cycle life are two major factors which restrict the development of electric vehicles. Battery degradation can be reduced by adding supercapacitors to create a Hybrid Energy Storage System. This paper proposes a systematic approach to configure the hybrid energy storage system and quantifies the battery degradation for electric vehicles when using supercapacitors. A con...

This work analyses the configuration and operation principles of hybrid wind-hydro power plants with pumped storage integrated into autonomous electric grid systems, in order to support high wind energy penetration. The plant consists of wind generation units, combined with a pumped-hydro storage system. It operates on a daily basis, storing the surplus wind production by pumping water in an el...

Hybrid power system can be used to reduce energy storage requirements. The influence of the Deficiency of Power Supply Probability (DPSP), Relative Excess Power Generated (REPG), Energy to Load Ratio (ELR), fraction of PV and wind energy, and coverage of PV and wind energy against the system size and performance were analyzed. The technical feasibility of PV-wind hybrid system in given range of...

Battery storage system is emerging as an essential component of hybrid power system based on renewable energy resources such as solar and wind in order to make these sources dispatchable. Accurate modeling of battery storage system is essential in order to ensure optimal planning of hybrid power systems incorporating battery storage. Majority of the system planning studies involving battery sto...

Remote areas that are not within the maximum breakeven grid extension distance limit will be economical or feasible for connections to provide electrical power community (remote area). An integrated autonomous sustainable energy system is a option. We worked on novel multi optimization assessment/power management of microgrid network adopted combined dispatch, load-following, and cycle-charging...

Deep Reinforcement Learning (DRL) proved to be successful for solving complex control problems and has become a hot topic in the field of energy systems control, but particular case thermal storage (TES) systems, only few studies have been reported, all them with complexity degree TES system far below one this study. In paper, we step forward through DRL architecture able deal an innovative hyb...

Solar and wind energy systems are omnipresent, freely available, environmental friendly, and they are considered as promising power generating sources due to their availability and topological advantages for local power generations. Hybrid solar–wind energy systems, uses two renewable energy sources, allow improving the system efficiency and power reliability and reduce the energy storage requi...