In:
Journal of Renewable and Sustainable Energy, AIP Publishing, Vol. 14, No. 1 ( 2022-01-01)
Kurzfassung:
Wind power participating in frequency control with reserve capacity is an inevitable requirement for the system with a high proportion of wind power in the future. The existing reserve allocation methods, which consider the wind farm frequency control with reserve often only considered the economy or efficiency of the wind farm to set reserve capacity in fixed percentage, failed to follow the principle of optimal system efficiency and cannot optimize the system frequency regulation economy and frequency stability at the same time. The proposed method from the perspective of the system allocates reserve capacity among wind power, thermal power, and hydropower, who participate in system frequency control. Multi-objective chance constrained programming takes the economy and frequency stability as the optimization objectives. A rolling optimization method of reserve capacity is carried out periodically according to fluctuating wind power and load, making the calculation results in real time. A hybrid intelligent algorithm is adopted to improve the calculation efficiency. The simulation in the IEEE 39-bus test network shows that the proposed method can effectively improve the frequency control effect and system economy. Compared with the reserve allocation method considering wind farm participating in frequency control with reserve capacity in fixed percentage, the proposal can at most reduce the RoCoF by 9.5%, the maximum frequency deviation by 4.3%, and the steady-state frequency deviation by 4.1%, and when the system frequency stability is the only objective, at most 79.4% coal consumption reserve cost in the system can be saved.
Materialart:
Online-Ressource
ISSN:
1941-7012
Sprache:
Englisch
Verlag:
AIP Publishing
Publikationsdatum:
2022
ZDB Id:
2444311-6
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