G. S. Sharma

Bio: G. S. Sharma is an academic researcher. The author has contributed to research in topics: Tilt (optics) & Solar power. The author has co-authored 1 publications.

Global Solar Insolation Estimation and Investigation: A Case Study of Various Nations and Cities

Abstract: Solar insolation is sun radiation converted to electrical energy and injected into the utility network using grid-connected solar power plants. Recently, in many nations’ electricity grids, the share of power generated using solar photovoltaic (PV) power plants is rapidly increasing. In this case study, solar insolation levels on different latitudes with fix & two seasonal tilt angles have been measured using Meteonorm® software. For these latitudes, fourteen airport locations have been chosen across the globe. From the case study, it has been evident that a double seasonal tilt angle provides more global insolation as compared to fix tilt angle with a suitable azimuth angle. There is also a reduction in insolation level at fixed and two seasonal tilt angles if going away from the equator. Further, up to three seasonal tilt angles, there is sufficient enhancement has been observed in solar insolation. It is also analyzed that for multiple seasonal tilt angle based solar PV Plant, month-wise tilt angle selection is more important. Further Average, Rectangular, and Trapezoidal methods have been used for estimation of cumulative inclined insolation for a specific period and compared. From the comparison, the trapezoidal method has been found optimal for accurate estimation of cumulative inclined insolation.

Intelligent energy management scheme‐based coordinated control for reducing peak load in grid‐connected photovoltaic‐powered electric vehicle charging stations

Abstract: Solar-based Distributed Generation (DG) powered Electric Vehicles (EVs) charging stations are widely adopted nowadays in the power system networks. In this process, the distribution grid faces various challenges caused by intermittent solar irradiance, peak EVs load, while controlling the state of charge (SoC) of batteries during dis(charging) phenomena. In this paper, an intelligent energy management scheme (IEMS)-based coordinated control for photovoltaic (PV)-based EVs charging stations is proposed. The proposed IEMS optimizes the PV generation and grid power utilization for EV charging stations (EVCS) by analysing real-time meteorological and load demand data. The coordinated control of EMS provides power flow between PV generation, distribution grid, and EVs battery storage in a manner which results in the reduction of peak power demand by a factor of two. Further, the adaptive neuro-based fuzzy control approach includes forecasting solar-based electricity generation and EVs loads demand predictions to optimize IEMS according to the Indian power scenario. The proposed IEMS optimally utilizes the buffer batteries system for reducing the peak electricity demand with low system losses and reducing the impact of EVs charging load on distribution grid. The results are analysed using the digital simulation model and validated with real-time hardware-in-loop experimental setup.

3P4W Grid Interactive PV-BES System With Seamless Transition Capability

Abstract: For seamless transition of 3P4W (three phase four-wire) grid interactive solar photovoltaic (PV) system, a suboptimal finite impulse response (FIR) filter with approximation based on infinite impulse response filter (IIR) is employed here. The need for power quality improvement is essential and in order to guarantee an improved PQ, the grid currents are analyzed in covenant with the IEEE-519 standard. The power transfer proficiency with suboptimal filter utilization reduced intermittency associated with renewable sources along with improved power quality. Moreover, with the rise in the usage of distributed energy resources involving renewable energy sources, the need for power quality improvement is paramount. The need for improving PQ, stems from the fact that an uninterrupted supply is essential to the critical loads along with an improved power quality. Therefore, during operating modes such as grid linkage/interruption, the utilization of an efficient control is mandatory. Moreover, the behavior is required to be in agreement with the IEEE-519 and IEEE-1547 standards and in off-grid mode, a voltage controller is utilized for the power transfer. Thus, with adequate performance during the weak grid conditions, corroboration of satisfactory system behavior is obtained.