Power distribution network robust recovery decision-making method considering uncertainty of distributed power supply

Abstract

The invention discloses a power distribution network robust recovery decision-making method considering uncertainty of a distributed power supply. The method comprises the steps: carrying out island division by employing a BDG in a power loss region; in consideration of extreme working conditions, establishing an island recovery model, relaxing the objective function of the island recovery model into a linear solvable form by adopting a piecewise linear approximation method, and solving to obtain an island division scheme and a power supply recovery condition under the previous BDG; under thecondition of considering priority levels of different loads in actual working conditions, establishing a main network recovery model; and decomposing and solving the main network recovery model by adopting a column constraint generation algorithm to obtain an optimal recovery decision scheme. According to the method, the defect that the output intermittency of the distributed power supply is ignored in the current deterministic fault recovery method is overcome, and the method has obvious advantages in the aspects of ensuring the power supply reliability and resisting system uncertainty disturbance.

Description

technical field [0001] The invention belongs to the technical field of optimal operation and control of an active distribution network, and in particular relates to a robust recovery decision-making method for a distribution network considering the uncertainty of distributed power sources. Background technique [0002] Actively developing distributed generation (DG) grid-connected technologies such as photovoltaic power generation and wind power generation is a strategic choice for domestically adjusting energy structure, coping with climate change and achieving sustainable development. At the same time, the injected power of distributed power generation is highly susceptible to factors such as weather and time, and presents strong fluctuations and intermittences. The decision based on the traditional deterministic distribution network fault recovery method may have poor recovery results. Even recovery fails. Therefore, how to consider the influence of strong uncertainty in...

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Problems solved by technology

However, the research results have the following deficiencies: on the one hand, the established robust fault recovery model is based on a single-phase symmetrical distribution network, which does not consider the characteristics of the three-phase unbalanced operation of the actual distribution network; The use of large-capacity DG black start to form an island operation, etc.

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