Title :
Integration of large battery storage system into distribution grid with renewable generation
Author :
Manjunatha, Aravind P. ; Korba, P. ; Stauch, Vanessa
Author_Institution :
ABB Autom. Products GmbH, Ladenburg, Germany
Abstract :
This paper describes the development and implementation of a method and a prototype solving the problem of optimal integration of the largest battery energy storage system installed so far in Switzerland into an existing power grid in presence of intermittent renewable energy sources. The developed approach is based on model-based predictive control, a well-known method in process automation. Mathematical models of all involved system components, such as local load or weather dependent power generation profiles, were developed. In addition, plant-model uncertainties are handled by an additional fast corrective feedback control loop. The result, an advanced battery controller, has been implemented in cooperation with ABB Ltd. in a real-time prototype and integrated into the existing energy management system used for the manual operation and control of the real 1MW Li-Ion battery installed by the electric power utility of the canton of Zurich (EKZ) in Switzerland. The newly developed functions include automatic peak-shaving and cost optimal battery control subject to time-varying energy prices and predefined physical and operating limits.
Keywords :
battery storage plants; distributed power generation; energy management systems; feedback; lithium; power distribution control; power generation control; power grids; predictive control; secondary cells; Li; Switzerland; Zurich; advanced battery controller; automatic peak-shaving; battery energy storage system; cost optimal battery control; distribution grid; electric power utility; energy management system; fast corrective feedback control loop; intermittent renewable energy sources; lithium-ion battery; local load; mathematical models; model-based predictive control; plant-model uncertainty; power 1 MW; power grid; process automation; renewable generation; time-varying energy prices; weather dependent power generation profiles; Batteries; Load modeling; Meteorology; Optimization; Power systems; Predictive models; Real-time systems; Battery energy storage systems; Integration of renewable energy sources; Model-based predictive control; Smart grids; weather forecast;
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
DOI :
10.1109/PTC.2013.6652143