A Multi-objective Active Reconfiguration Method of Distribution Network Based on Genetic Algorithm

Abstract

The invention discloses a multi-objective active reconstruction method for a distribution network based on a perfect match genetic algorithm. The method comprises: firstly, integrating power loss, voltage deviation and system stability margin into an objective function, and introducing a judgment matrix method and a linear weighting method to determines weight of each index and realizing transformation of a multi-objective function; secondly, aimed at disadvantages of a traditional genetic algorithm, providing a multi-chromosomal chiasma strategy based on a principle of perfect match, to enrich diversity of population evolution methods and greatly enhance computational efficiency and optimizing ability of the algorithm; finally, by setting a critical value, realizing self-perception and active reconstruction of an active distribution network to improve security and stability of the distribution network. Simulation examples show that the model and the algorithm and concept of active reconstruction provided by the invention conform to thinking of active operation and active control of the current active distribution network, and the method has wide application prospect.

Description

technical field [0001] The invention belongs to the technical field of distribution networks, and in particular relates to a multi-objective active reconstruction method of a distribution network based on a genetic algorithm for matching households. Background technique [0002] The distribution network is an important link that directly faces users and connects the transmission system and loads. It is the key to ensuring the quality of power supply and improving the operation efficiency of the power grid. The reconfiguration of the distribution network can effectively reduce the network loss of the system, improve the reliability and safe operation level of the system, and is of great significance to the construction of the current active distribution network. [0003] In recent years, scholars at home and abroad have carried out a lot of analysis and research on distribution network reconfiguration, and achieved a series of research results: (1) In terms of reconfiguration...

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Problems solved by technology

[0003] In recent years, scholars at home and abroad have carried out a lot of analysis and research on distribution network reconfiguration, and achieved a series of research results: (1) In terms of reconfiguration model construction, most of the research takes the minimum active network loss as the objective function. Taking into account the voltage level, load balance and reliability of the system

On the other hand, the existing research on distribution network reconfiguration, whether it is the network structure optimization made with the minimum network loss under normal conditions or the reconfiguration under fault conditions, is often passive, does not reflect the forecast and initiative, and does not conform to The development trend of today's active distribution network; (2) In terms of algorithm analysis, distribution network reconstruction methods mainly include branch and bound method, branch exchange method, optimal flow mode method, simulated annealing method, genetic algorithm, particle swarm algorithm etc.

Among them, the branch-and-bound method is difficult to be effective in the face of large-scale distribution network calculations, and the distribution network reconfiguration result of the branch exchange method is related to the initial structure of the distribution network, which cannot guarantee the global optimal and optimal flow. The model method can only determine the opening and closing of a switch after two calculations of the ring network power flow, which requires a large amount of calculation and the algorithm programming is more complicated

The heuristic algorithm has the problems of low search efficiency and difficulty in converging on the global optimal solution; 3) In terms of the processing method of distributed power, most studies treat it as a PQ type distributed power. The impact analysis of determinism and volatility on distribution network reconfiguration is not comprehensive and in-depth

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