Modeling and Optimization of Photovoltaic Power Systems

Dear Colleagues,

The aim of this Special Issue is to advance the state of the art in the modeling and optimization of photovoltaic power systems. 

The scope and approach for this Special Issue is to present improvements in the fundamental models and mathematical foundations of time-series simulation, thus enabling solutions to tomorrow’s problems. These problems arise with the integration of a large number of photovoltaics in a utility system and involve phenomena that occur at a much shorter time scale than the time step of the time-series simulation (subinterval phenomena). A steady-state assumption over an hourly time step does a poor job of estimating quantities of interest for grid integration, such as inverter clipping; exporting to utility in excess of the site load; battery throughput; and the network hosting capacity. This Special Issue seeks to address these problems by investigating: high-resolution time-series data (identification of needed timescale; algorithms at the edge; communication bandwidth; and parallel processing); the distribution function or stochastic modeling (the distribution function of values of interest within each time step duration); machine learning approaches (a neural network is trained and used to estimate phenomena that occur within the duration of each time step); a mathematical model of physical phenomena (transient model or physical scales); variable time step simulations (adjust the time step according to the time scale of phenomena and resample intervals); and other significant advancements in PV system modeling and optimization.

You may choose our Joint Special Issue in Energies.

Dr. Andy Walker
Dr. Joshua S. Stein
Guest Editors

Manuscript Submission Information

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• photovoltaic
• modeling
• simulation
• optimization
• energy systems integration
• grid integration
• stochastic modeling
• machine learning
• physical models
• transient models