A novel method for a day-ahead optimal operation of a hybrid microgrid system including fuel cells, photovoltaic arrays, a microturbine, and battery energy storage in order to fulfill the required load demand is presented in this paper. In the proposed system, the microgrid has access to the main utility grid in order to exchange power when required. Available municipal waste is utilized to produce the hydrogen required for running the fuel cells, and natural gas will be used as the backup source. In the proposed method, an energy scheduling is introduced to optimize the generating unit power outputs for the next day, as well as the power flow with the main grid, in order to minimize the operational costs and produced greenhouse gases emissions. The nature of renewable energies and electric power consumption is both intermittent and unpredictable, and the uncertainty related to the PV array power generation and power consumption has been considered in the next-day energy scheduling. In order to model uncertainties, some scenarios are produced according to Monte Carlo (MC) simulations, and microgrid optimal energy scheduling is analyzed under the generated scenarios. In addition, various scenarios created by MC simulations are applied in order to solve unit commitment (UC) problems. The microgrid’s day-ahead operation and emission costs are considered as the objective functions, and the particle swarm optimization algorithm is employed to solve the optimization problem. Overall, the proposed model is capable of minimizing the system costs, as well as the unfavorable influence of uncertainties on the microgrid’s profit, by generating different scenarios.

The purpose of this study was to examine the relationships between the coaches’ bases of power and athletes' satisfaction with coach, and how coach power use served as predictors of athletes' satisfaction with coach.The instruments were used the Power in Sport Questionnaire-Other (PSQ-O for athletes); Athlete Satisfaction Questionnaire (ASQ) and a questionnaire related to demographic variables. Data were collected from athletes (n=147) in Professional Women's Handball League in Iran.The results indicated that the bases of power’s coaches were positively associated with athlete’s satisfaction. It showed that perceived reward, coercive, referent and expert power of coaches were significant predictors of athlete’s satisfaction. But legitimate power did not significantly predict satisfaction; So that ,54% of the variance athletes' satisfaction with coach was explained by bases of power’s coaches.

This paper focuses on performance analyzing and dynamic modeling of the current grid-tied fixed array 6.84kW solar photovoltaic system located at Florida Atlantic University (FAU). A battery energy storage system is designed and applied to improve the systems stability and reliability. An overview of the entire system and its PV module are presented. In sequel, the corresponding I-V and P-V curves are obtained using MATLAB-Simulink package. Actual data was collected and utilized for the modeling and simulation of the system. In addition, a grid- connected PV/Battery system with Maximum Power Point Tracking (MPPT) controller is modeled to analyze the system performance that has been evaluated under two different test conditions: (1) PV power production is higher than the load demand (2) PV generated power is less than required load. A battery system has also been sized to provide smoothing services to this array. The simulation results show the effective of the proposed method. This system can be implemented in developing countries with similar weather conditions to Florida.

Smart grid is an energy infrastructure that increases energy efficiency by using communication infrastructure, smart meters, smart appliances, automated control and networking, and more. This paper focuses on the Power Line Communication (PLC) aspect and technologies used in the smart grid. There are various challenges and advancements in the smart grid; this research discusses how PLC can improve smart grid performance. In order to provide applicable results, practical PLC system parameters and other required data was obtained from Florida Power and Light (FPL). Modeling of the PLC system with different types of digital modulations was conducted using MATLAB/Simulink software and Python. The benefits and design tradeoffs of Amplitude Shift Keying (ASK), Frequency Shift Keying (FSK), and Phase Shift Keying (PSK) are discussed. The modulation schemes are compared on the basis of their applicability to a practical PLC network by comparing the results of the simulations