access icon free Scheduling wind-battery energy storage hybrid systems in time-of-use pricing schemes

© The Institution of Engineering and Technology
Received 28/11/2017, Accepted 25/03/2018, Revised 10/03/2018, Published 28/03/2018

Battery energy storage systems (BESSs) are incorporated into wind farms to gain more profits by shifting energy over time and to track predetermined power schedules. In operations, charging/discharging power of the BESS is adjusted flexibly to follow the power schedules of the wind-BESS hybrid systems (W-BESS-HS), which are set to be the sum of short-term predicted wind powers and charging/discharging schedules of the BESS. In order to extend lifetime of batteries, the BESS operation is subject to a sequential charging/discharging state sequence, which is predetermined according to time-of-use (ToU) pricing schemes. An iteration scheme is presented to update scheduled charging/discharging rates of the BESS according to simulation results based on sequential Monte-Carlo simulation (SMCS) technology so that the W-BESS-HS can not only meet a probabilistic requirement on generation schedule tracking but also gain further economic benefits by achieving a trade-off between punishments resulted from power deviations and wind power curtailment losses. In the SMCS simulation, a series of real-time indices are presented to evaluate performances of the W-BESS-HS at every dispatching interval and provide updating directions of the iteration scheme. The research work can provide theoretical support when operating the W-BESS-HS in ToU pricing schemes.

Inspec keywords: iterative methods; secondary cells; battery storage plants; sequential estimation; hybrid power systems; demand side management; probability; pricing; Monte Carlo methods; power generation economics; load forecasting; power generation scheduling; wind power plants

Other keywords: W-BESS-HS; wind power prediction; sequential charging-discharging state sequence; time-of-use pricing scheme; ToU pricing scheme; scheduling wind-battery energy storage hybrid system; sequential Monte-Carlo simulation technology; iteration scheme; wind power curtailment loss; SMCS technology; wind farm; probability; charging-discharging power scheduling

Subjects: Secondary cells; Monte Carlo methods; Power system management, operation and economics; Power system planning and layout; Wind power plants; Interpolation and function approximation (numerical analysis)

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