Analysis of a Multilevel Voltage-Based Coordinating Controller for Solar-Wind Energy Generator: A Simulation, Development and Validation Approach

This paper presents the development and the performance analysis of the developed model of a voltage-based coordinating controller. This model is developed to perform activities such as sensing, measuring, switching, coordinating, and effectively managing the output voltages produced by the solar-wind renewable energy sources in order to supply the connected load or/and charge the battery storage system. The developed model has different tasks to perform when solar-wind energy sources both produce output voltages simultaneously, also contributing to solving the requirements of different synchronization algorithms for a multi-agent renewable energy system. The sensed and measured output voltages of the solar-wind energy sources are used as directive information to allow the developed model’s controller to supply the available power to the connected load or/and charge the battery storage system. Also, the produced information at the model’s controller input is used to individually control the other sub-system, which directly assists in achieving the aim of simultaneous operation when both solar and wind energy sources produce output voltages. The model is developed and simulated in Matlab/Simulink. The simulation results are used to validate the developed methodology and the aims of the developed model.

Energetic Neutral Atom Distribution on the Lunar Surface and Its Relationship with Solar Wind Conditions

The Advanced Small Analyzer for Neutrals (ASAN) on board the Chang’E-4 Yutu-2 rover first detected energetic neutral atoms (ENAs) originating from the lunar surface at various lunar local times on the lunar farside. In this work, we examine the ENA energy spectra, obtained in the first 23 lunar days from 2019 January 11 to 2020 October 12, and find a higher ENA differential flux on the lunar dawnside than on the duskside. Combined with Acceleration, Reconnection, Turbulence and Electrodynamics of the Moon’s Interaction with the Sun (ARTEMIS) data, we analyze the correlation between the ENA differential flux and solar wind parameters, such as flux, density, dynamic pressure, and velocity, for each ASAN energy channel on the dawnside and duskside. The results show that ENA differential flux is positively correlated with solar wind flux, density, and dynamic pressure and relatively lower on the duskside than on the dawnside. To determine the relationship between solar wind energy and ENA energy, we analyze the correlation between solar wind energy and ENA cutoff energy and temperature on the dawnside and duskside. The results show that the ENA cutoff energy and temperature are lower on the duskside than on the dawnside at the same solar wind energy. The difference between the ENA–solar wind observation on the dawnside and duskside is possibly caused by solar wind deflection and deceleration on the duskside, which can be attributed to the interaction between solar wind and the lunar magnetic anomalies located nearby in the northwestern direction of the Chang’E-4 landing site.