Title :
The prediction of flexible load demand in the UK in 2050
Author :
Kankai Shen ; Dunn, Roderick
Author_Institution :
Dept. Electron. & Electr. Eng., Univ. of Bath, Bath, UK
Abstract :
This paper presents simulations for analyzing the flexible demand in the UK distribution system to support the growth in renewable generation up to 2050. The flexible load is expressed as an effective spinning reserve (SR) provided by the demand side. The growth in six types of flexible load demand up to 2050 is explored. In particular, this paper concentrates on predicting the effects of EV demand, using half-hour resolution, and the vehicle-to-grid (V2G) concept is considered as well. It is demonstrated that the application of the V2G concept improves the flexible demand profile during key stages of the daytime, optimizing the load balancing of the electrical network.
Keywords :
distributed power generation; electric vehicles; power grids; probability; EV demand; SR; UK distribution system; V2G concept; electrical network; flexible load demand prediction; half-hour resolution; load balancing; probability theory; renewable generation; spinning reserve; vehicle-to-grid concept; flexible demand; spinning reserve; vehicle-to-grid;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672457