Abstract
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.
Highlights
With the gradual construction of the power system with renewable energy as the main body, the scale of wind power keeps increasing
To meet the requirement of the layered centralized frequency control method of wind farms, this paper proposes a rolling optimization allocation method for reserve capacity considering wind power participating in frequency control
Compared with the reserve allocation method considering wind farm participating in system 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
Summary
Accepted Manuscript: This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination, and proofreading process, which may lead to differences between this version and the Version of Record. Cite as: Journal of Renewable and Sustainable Energy (in press) (2021); https://. Submitted: 13 June 2021 Accepted: 10 December 2021 Accepted Manuscript Online: 13 December. A combined forecasting strategy for the improvement of operational efficiency in wind farm. Numerical analysis of the effect of vortex generator on inboard region of wind turbine blade.
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