Abstract
AbstractThe use of photovoltaic (PV) generation forecasts in economic load dispatching control, which includes the unit commitment of conventional power plants, is essential to ensure the economic performance and the reliability of power systems. In the previous study, we developed a day-ahead charge and discharge scheduling method of battery energy storage systems based on interval analysis using prediction intervals of a PV generation forecast; this interval forecast considers forecast errors and gives not only the forecasted output but also the possible range of the actual output with a certain confidence. In this study, we evaluate the proposed scheduling method by numerical simulations in terms of the power system supply and demand operation.
Highlights
The use of Photovoltaic (PV) generation forecasts in economic load dispatching control (EDC), which includes the unit commitment (UC) of conventional power plants, is essential to ensure the economic performance and the reliability of power systems
We developed a method for forecasting solar irradiance [1] and evaluated the EDC/UC using a PV generation forecast by numerical simulations [2] in previous studies
We developed a day-ahead charge and discharge scheduling method for Battery energy storage system (BESS) based on interval analysis [3] using the prediction intervals of PV generation forecast; this interval forecast considers forecast errors and gives the forecasted output and the possible range of the actual output with a certain confidence
Summary
The use of Photovoltaic (PV) generation forecasts in economic load dispatching control (EDC), which includes the unit commitment (UC) of conventional power plants, is essential to ensure the economic performance and the reliability of power systems. We developed a method for forecasting solar irradiance [1] and evaluated the EDC/UC using a PV generation forecast by numerical simulations [2] in previous studies. It is necessary to consider the other countermeasures such as output suppression of base-load power plants, combinational optimization of UC, and utilization of battery energy storage systems (BESSs). We developed a day-ahead charge and discharge scheduling method for BESSs based on interval analysis [3] using the prediction intervals of PV generation forecast; this interval forecast considers forecast errors and gives the forecasted output and the possible range of the actual output with a certain confidence. We conducted numerical simulations on a power system model of the Kanto area of Japan, using actual load demand and solar irradiance data
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