Title :
Determination of the optimal battery capacity based on a life time cost function in wind farm
Author :
Cong-Long Nguyen ; Tae-Won Chun ; Hong-Hee Lee
Author_Institution :
Sch. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea
Abstract :
Use of the battery energy storage system (BESS) as a power buffer becomes a feasible solution to mitigate the intermittent wind power characteristic. Due to the cost, utilizing an economical battery capacity is a crucial requirement of the system design. In this paper, dispatch power strategies are overviewed and the min-max method is selected as the most suitable one for integrating the wind power to grid. A lifetime cost function, which indicates the BESS cost spent to dispatch 1kWh, is defined with the dispatch principle so that the battery capacity can be optimized. With using the optimal capacity, the minimum system operation cost is achieved and the dispatched power is able to satisfy its scheduled reference in any dispatching time period. Moreover, the battery state of charge (SOC) is also managed to be in a safe range so as to guarantee the system undamaged. In order to clarify the proposed determination method, a case study with a 3MW permanent magnet synchronous generator (PMSG) wind turbine model is investigated.
Keywords :
battery storage plants; design engineering; minimax techniques; permanent magnet generators; power generation dispatch; power generation economics; secondary cells; synchronous generators; wind power plants; wind turbines; BESS cost; PMSG; battery energy storage system; battery state-of-charge; dispatch power strategies; dispatching time period; economical battery capacity utilization; energy crisis problem; environmental pollution problem; intermittent wind power characteristic mitigation; life time cost function; min-max method; optimal battery capacity determination; permanent magnet synchronous generator wind turbine model; power buffer; system design; wind farm; Batteries; Discharges (electric); Dispatching; Educational institutions; System-on-chip; Wind farms; Wind power generation;
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2013 IEEE
Conference_Location :
Denver, CO
DOI :
10.1109/ECCE.2013.6646680