An elastic guaranteed bottom network rack search modeling method based on 0-1 programming model

Abstract

The invention relates to the technical field of core backbone network search of a power system, and particularly relates to an elastic guaranteed bottom network rack search modeling method based on a0-1 programming model, and the specific steps include: S1: establishing an objective function of a sum of a line number and a subnet search weight as reference factors; S2: establishing an equality constraint of the optimization model, establishing a branch power constraint and a branch current constraint based on the power flow constraint; S3: establishing an inequality constraint of the optimization model, including a voltage constraint, a generator power limiting constraint and a line power limiting constraint; S4: solving the model, so that the length of the final scheme grid line is smalland the electrical interface index is large. The method can solve the problem of the uncertainty of the traditional intelligent algorithm result and the poor robustness of the algorithm, can obtain the guaranteed bottom network rack with the fewest lines, and can obtain the situation that the generator is put into operation. The method has high flexibility and strong scalability and effectively improves the efficiency and practicability of the guaranteed bottom net rack.

Description

technical field [0001] The invention relates to the technical field of power system core backbone grid search, in particular to a search modeling method for an elastic bottom-guaranteed grid based on a 0-1 programming model. Background technique [0002] Urban guaranteed power grid refers to the selection of important urban sites, key lines and disaster-resistant guarantees for the power grid in response to extreme situations such as severe natural disasters and external damage, with the goal of improving the power supply security of urban core areas and important users, and improving the ability to quickly restore power under severe faults. The power supply is designed and constructed in a differentiated manner, forming the smallest scale grid. [0003] In order to improve the disaster prevention and emergency support capabilities of urban power grids, objectively respond to the risks faced by urban power grids, and take reduction of losses and rapid recovery as the basic p...

AI Technical Summary

Problems solved by technology

[0010] The methods for calculating the bottom-guaranteed grid used in the above literatures all use artificial intelligence algorithms, which have problems such as uncertainty in calculation results, slow calculation speed, and poor robustness.

There is a huge flaw in solving the bottom-guaranteed grid search problem

In addition, in the models established in the above literature, there is no model that considers whether the generator is put into operation in combination with the 0-1 planning model, and the 0-1 planning model is not used in the search model for the bottom-guaranteed grid.

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