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[IEEE 2018 Power Systems Computation Conference (PSCC) - Dublin, Ireland (2018.6.11-2018.6.15)] 2018 Power Systems Computation Conference (PSCC) - Annual Evaluation of Supply-Demand with BESS Charging/Discharging Schedule and UC Updating Based on Intraday Forecasted PV Power Outputs
摘要： In recent years, photovoltaic (PV) systems have been installed in Japan at an accelerated rate. The application of PV generation forecasts and the utilization of energy storage devices in power system operation are essential to reduce supply–demand imbalances and enable the use of more PV energy without curtailment. In this paper, assuming extremely high PV generation after 2030, we focus on the coordinated operation of a battery energy storage system (BESS) and conventional power plants. We propose a method of determining and updating the BESS charging/discharging schedule and generator unit commitment based on the day-ahead and intraday PV generation forecasts. We present an evaluation of this method based on the results of numerical simulations conducted for one year on a bulk power system model to demonstrate the effectiveness with which it reduces energy shortfall and PV power curtailment.
关键词： power system,Battery energy storage system (BESS),photovoltaic (PV) generation,PV generation forecast,unit commitment (UC)
更新于2025-09-23 15:22:29
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[IEEE 2019 IEEE Milan PowerTech - Milan, Italy (2019.6.23-2019.6.27)] 2019 IEEE Milan PowerTech - Optimal Scheduling of Generators and BESS using Forecasting in Power System with Extremely Large Photovoltaic Generation
摘要： Large scale integration of renewable energy sources (RES) can cause supply demand uncertainty. In Japanese power systems the photovoltaic (PV) generation is growing rapidly. PV forecasting with energy storage systems can be used in Unit Commitment (UC) to reduce these imbalances. In this study Battery Energy Storage systems (BESS) and day-ahead PV forecasting with prediction intervals have been used to examine the imbalances. The day-ahead UC of thermal generators and day-ahead optimal BESS charging and discharging is calculated with different BESS inverter capacities and BESS energy capacities. Then the power shortfall and surplus of PV power in the target day are calculated. The simulation is run for 3 months from April to June 2010 for Kanto area power system of Japan.
关键词： Photovoltaic (PV) forecasting,Unit Commitment (UC),Optimal Power dispatch,Battery Energy Storage Systems (BESS),Prediction Intervals,Mixed Integer Linear Programming (MILP)
更新于2025-09-11 14:15:04