Abstract
The charging/discharging behavior of battery has a significant impact on both cost and revenue of wind power plant (WPP). It has been shown that monotonic charging/discharging strategy has reduced the capital cost of WPP. In this study, we present a control approach to manage the income of WPP while we combine the monotonic charging/discharging methodology to our system design. The Controller is based on Model Predictive Control (MPC) theory using a dynamic programming algorithm along with a nonlinear battery energy storage model. We exploit the effect of charging/discharging pattern of the battery to maximize the profit of the output power dispatched to the grid while using forecasted dispatch price and wind power. The efficiency of this control strategy is assessed under different scenarios via simulations with actual wind farm data and NSW price data.
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