Two-stage N-K robust fault constrained unit combination method considering fault probability

Abstract

The invention provides a two-stage N-K robust fault constrained unit combination method considering fault probability. Based on a fault uncertainty set and probability criteria, a two-stage robust fault-constrained unit combination model with the goal of minimizing shutdown cost and operating cost under a prediction scenario is established, the two-stage method combining the Benders decompositionmethod and the column and constraint generation (C&CG) method is utilized for problem solving, the scheduling cost in the basic scenario is minimized through the proposed model, moreover, that the determined robust unit combination can be adaptively and safely adjusted under uncertain generator and transmission line faults is guaranteed. The method is advantaged in that the proposed model can effectively guarantee robustness of the unit combination under N-K faults in the basic scenario, considering the fault probability of generators and transmission lines can effectively eliminate extreme fault scenarios with less probability of occurrence, conservative property of the uncertain set is reduced, and economical property of robust optimization is improved.

Description

technical field [0001] The invention belongs to the field of power system scheduling automation, and in particular relates to a two-stage N-K robust fault-constrained unit combination method considering fault probability. Background technique [0002] There are many uncertain factors in the current power system, such as random generator and transmission line failures, which may lead to power supply shortages, frequency fluctuations and large-scale power outages. For the discrete N-K fault uncertainty constraints, it is difficult to calculate the faults one by one for a large system. In the N-K fault-constrained power system generation planning problem, if the faults are enumerated one by one, the total enumeration This kind of failure is very difficult to model and calculate for large systems. A robust power generation planning model that takes into account failure uncertainty does not rely on enumeration but on mathematical optimization methods to find the failure scenar...

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Problems solved by technology

When the failure probability information of the components is not considered, the resulting uncertainty set is often too conservative

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