Abstract

With the development of artificial intelligence technology, power system has gradually adopted this technology. In order to better promote the application of artificial intelligence in power system, various algorithms for power system need to be further optimized and improved.After a large-scale wind power grid-connected, its random fluctuation characteristics significantly increase the uncertainty of power system operation. The traditional deterministic reserve capacity determination method has been difficult to meet the needs of the safe and economic operation of the system. It is necessary to comprehensively consider all kinds of uncertain factors that may change the operation state of the system, so as to accurately obtain the rotational reserve demand of the system. Based on this, considering the multiple uncertainties of wind power forecasting error, load forecasting error and conventional outage, this paper proposes a method to determine the reserve capacity of power system including wind power, and deduces the quantitative relationship between upper reserve capacity and loss of load probability (LOLP), lower reserve capacity and wind curtailment probability (WCP). Finally, a case study is given. The research in this paper can be used as the basis of coordinated dispatching and reserve sharing of interconnected power systems.

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