Hodrick Prescott Decomposition for Battery Energy Storage Size Reduction and Wind Power Control for Microgrid Applications

Abstract

Wind power generation is an attractive renewable energy technology that promotes the reduction of greenhouse gases. Nevertheless, the inherent alternating nature of wind power affects the stability of the grid as it results in frequency variations, voltage deviations, and increased ramp rates. Battery Energy Storage Systems (BESS) are incorporated in the microgrid to alleviate the aforementioned issues and to promote optimal operation by reducing the power fluctuations. Additionally, power firming filters and algorithms are also combined with the batteries for ramp rate curtailment, power flattening, and cost reduction. Widely used filters such as Low Pass Filters (LPF) and Moving Average (MA) filters are capable filters for fluctuating power control but have poor power tracking capabilities. To account for the resultant power lag, bigger batteries are needed which increases the operating costs. This paper presents a Hodrick Prescott Decomposition filter for wind power firming and enhanced power tracking. Simulation results conclude that the proposed methodology has significantly better power flattening and tracking capability than both the LPF and MA filters. As compared to the traditional filters, the proposed filter leads to decreased battery charging/discharging and appropriate state of charge control which in turn reduces the size of the batteries required for optimal operation.