Title :
Reserve from wind power potential in system economic loading
Author :
Xiaoqing Tang ; Fox, Brendan ; Kang Li
Author_Institution :
Sch. of Electron., Electr. Eng. & Comput. Sci., Queen´s Univ. Belfast, Belfast, UK
Abstract :
The growth of wind power in some power systems is hampered by the system requirement for emergency reserve to cover loss of the biggest infeed. The study demonstrates that reserve provision from the wind sector itself has economic and operational benefits. A heuristic algorithm has been developed that can model the relevant aspects of emergency reserve provision in a system with both thermal and wind generations. The proposed algorithm is first validated by comparing its performance with established economic scheduling methods applied to a representative power system. The algorithm is then used to demonstrate the economic benefit of reserve provision from the wind sector. It is shown that such provision reduces wind energy curtailment and thermal unit ramping. Finally, it is shown that a wind sector capable of providing emergency reserve can expand economically beyond the capacity limit that would otherwise apply.
Keywords :
heuristic programming; power generation economics; power generation scheduling; wind power plants; economic scheduling methods; emergency reserve provision; heuristic algorithm; representative power system; system economic loading; thermal generations; thermal unit ramping; wind energy curtailment reduction; wind generations; wind power potential; wind sector;
Journal_Title :
Renewable Power Generation, IET
DOI :
10.1049/iet-rpg.2013.0114