Method for reconstructing distribution network after fault

Abstract

The invention discloses a method for reconstructing a distribution network after a fault. The method for reconstructing the distribution network after the fault comprises the following steps of: first, establishing a multistage target function for reconstructing the distribution network after the fault, and determining a constraint condition; and then, reconstructing the distribution network after the fault by using a non-dominated sorting genetic algorithm. According to the method, the non-dominated sorting genetic algorithm based on quick classification is used, a multi-target function is not required to be converted into a single-target function, and requirements on reconstruction after the fault are met. The multistage target function for reconstructing the distribution network after the fault meets basic requirements of the reconstruction after the fault, namely power supply to loads in a non-fault black-out area is recovered one by one as many as possible, the fault recovering time is as short as possible, and the damage to the distribution network after the reconstruction is as small as possible, so that the original intention and the target for the reconstruction after the fault can be embodied in an aspect of a mathematical model.

Description

Technical field: [0001] The invention relates to the field of electric power system and automation thereof, and specifically designs a method for reconfiguring a power distribution network after a fault. Background technique: [0002] Reconfiguration after a distribution network failure is to transfer as many outage loads as possible to the normal power supply area through network reconfiguration under the premise of ensuring that the distribution network meets various constraints, and at the same time achieve the shortest reconfiguration operation time and Economics of post-network operation. [0003] When reconfiguring the distribution network after a fault, the following issues need to be considered: [0004] 1) Restore power to as many non-fault outage areas as possible; [0005] 2) The number of switching actions should be as small as possible, and the operating time should be as short as possible (while considering the difference in action time between manual switche...

AI Technical Summary

Problems solved by technology

[0011] Because the post-fault reconstruction of the distribution network is a multi-objective, multi-constraint, hybrid combinatorial optimization problem, the existing algorithms either use a single function as the objective; or use weight coefficients to simplify the multi-objective problem into a single The optimization technology to solve the target, these methods generally have the following disadvantages: ① The dimensions of multiple objective functions are different, and it is difficult to unify

In order to prevent one of the objective functions from dominating the other objective functions, and to accurately give the scalar information of all objective functions, it is necessary to have global prior knowledge of each objective, which requires a huge amount of calculation and is difficult to achieve.

②The distribution of weighted values ​​is highly subjective

Since the weights of each objective function are artificially specified, it is highly subjective

③ The weighted objective functions are mutually restricted by decision variables, and the topological structure is very complex

④ The final optimization goal is only the sum of each goal, and the optimization progress of each goal is not operable

In this way, in the study of the post-fault reconfiguration model of the distribution network, it cannot well meet the essential requirements of the post-fault reconfiguration.

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