PROJECT TITLE :
Analysis and Design of Filters for Energy Storage System: Optimal Trade-off between Frequency Guarantee and Energy Capacity/Power Rating - 2017
This paper proposes a brand new filter design technique that may swish the wind power generation out- place while keeping the energy capability and power rating of energy storage system (ESS) small. Wind power gen- eration causes frequency fluctuations in power systems. Therefore, in several cases ESS is needed for smoothing the fluctuations of wind generator output. In order to enhance the performance of ESS controlled with the conventional low-pass filter (LPF), this paper investigates other varieties of filters. 1st, the relations between filter and energy capac- ity/power rating of ESS are disclosed through the worst- case study. Then, the frequency fluctuation analysis of power system with respect to the wind power generation is carried out in order to understand a pin-purpose smoothing. Finally, a metaheuristic optimization technique is proposed for the multi-objective design of filter primarily based on these relations so as to achieve an optimal trade-off between the output smoothing and energy capacity/power rating of ESS. It's shown via simulation analysis with real wind data that the proposed method can suppress the frequency fluctuation of power system effectively with ESS having smaller energy capacity and power rating.
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