Taisuke Masuta

Application of battery energy storage system to power system operation for reduction in pv curtailment based on few-hours-ahead PV forecast

The output suppression of PV generation (PV curtailment) is important to maintain the supply-demand balance in power systems. However, the energy loss due to PV curtailment will become larger in the future. In this study, we propose and evaluate an operation scheduling method for a battery energy storage system (BESS) on the basis of the day-ahead and intraday few-hours-ahead PV generation forecasts for a reduction in the PV curtailment. The BESS is used in the economic-load dispatching control (EDC) in power systems, which considers the unit commitment (UC) of conventional power units. Numerical simulations are carried out to evaluate the proposed method. The simulation results show that the BESS operation based on the intraday few-hours-ahead forecast method is effective for the efficient use of PV energy.

On implementations of H2 preview output feedback law with application to LFC with load demand prediction

ABSTRACT This paper addresses a continuous-time preview control problem in output feedback setting. By a state transformation approach, it is shown that the optimal output feedback law is implemented in two different ways. The first and second implementations have the structures similar to the Smith and observer-based predictors for input-delay systems, respectively. In order to illustrate the features of the optimal control law, we design an Load Frequency Control system, which utilises load demand prediction. Although the accompanying prediction error obstacles the performance improvement, it is demonstrated that the adverse effect is mitigated by the weighting function technique.

Evaluation of unit commitment based on intraday few-hours-ahead photovoltaic generation forecasts to reduce the supply-demand imbalance

Japanese power systems are expected to increase the installation of photovoltaic (PV) generation in the future. We have developed operation and control methods for future power systems based on PV generation forecasting. In our previous study, we proposed a supply-demand operation method based on the intraday few-hours-ahead forecasts of the PV power output and concluded that the unit commitment (UC) of thermal power generators needs to be modified to reduce the supply-demand imbalance. In this study, we developed a new supply-demand operation method in which the UC is repeatedly modified based on intraday few-hours-ahead forecasts. We evaluated the effectiveness of the proposed method by long-term (2 months) numerical simulations of a large power system model for Kanto Japan. Actual hourly data on the load demand and solar irradiation were used in the simulations.

Study on demand and supply operation using forecasting in power systems with extremely large integrations of photovoltaic generation

The installed capacity of photovoltaic (PV) generation in Japan is currently more than 20 GW. This capacity has been rapidly increasing since the start of the feed-in tariff policy in 2012. The installed capacity after 2030 may be considerably larger than the current supposition if this trend continues. In this study, we conducted numerical simulations of the demand and supply operation with consideration of the unit commitment of conventional power generators using PV generation forecasting in economic-load dispatching control. This operation occurs in power systems with extremely large integrations of PV generation. The impact of PV generation forecasting errors on the demand and supply imbalance is quantitatively evaluated with consideration of the installed PV capacity as a parameter. Simulation results show that the impact of the forecasting errors becomes small for a larger value of the installed PV capacity. The results additionally reveal that efficient use of PV generation is more important in power systems with extremely large integrations of PV generation.