In the current operation mode of the PV-BESS power plant, the whole BESS is used to optimize the PV output to reduce the deviation between the day-ahead forecasted PV power and the actual PV power. The revenue of the PV-BESS power plant between the optimal typical scenario operation modes and the current operation modes are compared.
Improved response when compared to other energy management systems. A novel optimal energy management system (EMS) using a nonlinear constrained multivariable function to optimize the operation of battery energy storages (BESs) used in a hybrid power plant with wind turbine (WT) and photovoltaic (PV) power plants is proposed in this work.
The results of the case studies indicate that applying the typical scenarios analysis method and revenue optimization model, the BESS of the PV-BESS power plant can be allocated rationally to develop feasible operation modes, which can provide guidance for the operation of the PV-BESS power plant.
The hybrid power plant uses a configuration based on a battery-stored impedance-based cascaded multilevel inverter to integrate renewable energy sources (PV power plants and WT) and BESs into the grid. The new optimal EMS seeks for satisfying the demanded power while dispatching power between BESs to optimize their efficiency.
The object of this paper is the demonstration PV-BESS power plant built in Golmud District of Qinghai, China in 2016. In the PV-BESS power plant, the capacity of the PV generation units is 50 MW, the rated power of the energy storage system is 15 MW, and the rated capacity of the energy storage system is 18 MWh.
Hybrid power plant with wind turbine, PV and battery integrated into multilevel configuration. Design of optimal energy management system to optimize the battery efficiency. Control tested from simulation results under different operating conditions and HIL experimental results. Improved response when compared to other energy management systems.