The invention discloses an optimal probabilistic power flow fast calculation method based on the multi-parameter programming theory. The main steps are as follows: 1) sampling a power network and extracting sample data; 2) according to the operation cost and constraints of a conventional generator set, establishing a DC optimization model; 3) based on the multi-parameter programming theory, calculating the analytical relationship between the optimal power flow result and the output power of a renewable energy unit; 4) according to the probabilistic characteristics of renewable energy, extracting the k-th renewable energy generator output power sample (shown in the description) to judge the critical region of the renewable energy generator output power (shown in the description), and calculating the optimal objective function (shown in the description) and branch power flow (shown in the description) in the i-th critical region CRi of the optimal output power (shown in the description)of the conventional generator set; 5) performing convergence judgment and statistically analyzing and outputting the optimal power flow result. The method has flexible expansibility, and any improvedsampling algorithm can be embedded in the proposed fast calculation method, thereby further accelerating the convergence speed.

Optimal probabilistic power flow fast calculation method based on multi-parameter programming theory

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Optimal probabilistic power flow fast calculation method based on multi-parameter programming theory