Method and system for optimizing electricity reliability improving object of intelligent distribution network

Abstract

The invention discloses a method and system for optimizing an electricity reliability improving object of an intelligent distribution network. The system includes a data acquisition module, an evaluation module and a storage module. The optimization method includes: establishing an intelligent distribution network electricity reliability improving demand degree evaluation index system; allowing the data acquisition module to acquire the related index data and store the related index data in the storage module; allowing the evaluation module to normalize and nondimensionalize the index values of all the objects to be optimized to form a normalized index matrix; calculating subjective and objective weight values of each index, and calculating a comprehensive weight value of each index; calculating a weighted normalized index matrix, determining positive and negative absolute ideal solutions, and calculating the grey relational degree of each object to be optimized; calculating the relative closeness degree of each object to be optimized relative to the positive ideal solution, optimizing the reliability improving object according to the relative closeness degree, and outputting an optimization result to the storage module. The method and system can comprehensively evaluate the real electricity consumption situation of the users in the intelligent distribution network, and guide the development of the electricity reliability improving project of the intelligent distribution network.

Description

technical field [0001] The present invention relates to the field of power supply reliability evaluation, in particular to a method and system for optimizing objects for improving power reliability in intelligent distribution networks. Background technique [0002] As an important way to improve the operation management level and service ability of power supply enterprises, reliability transformation and improvement work has always been valued by power supply enterprises. With the development of smart distribution network, distributed power generation, energy storage and other ways to obtain electric energy are constantly enriched, and the problem of power quality in distribution network is becoming more and more prominent. The limitations are becoming more and more obvious: 1) The power supply reliability index, especially the power supply reliability of the medium-voltage caliber, only roughly considers the problem of power supply continuity, and cannot fully reflect the r...

AI Technical Summary

Problems solved by technology

With the development of smart distribution network, distributed power generation, energy storage and other ways to obtain electric energy are constantly enriched, and the problem of power quality in distribution network is becoming more and more prominent. The limitations are becoming more and more obvious: 1) The power supply reliability index, especially the power supply reliability of the medium-voltage caliber, only roughly considers the problem of power supply continuity, and cannot fully reflect the real power consumption experience of users; 2) It is system-oriented and does not consider The traditional evaluation index system of electric energy availability can no longer meet the new requirements of refined management of distribution network of power supply and sales enterprises and in-depth development of electricity sales market; 3) Traditional power supply reliability evaluation cannot be applied to smart distribution network

The influence of new factors such as distributed power generation and energy storage in the smart distribution network on the user's power consumption process is difficult to reflect in the evaluation of power supply reliability.

[0003] In addition, at the present stage, the reliability improvement project of distribution network only takes the reliability rate of power supply as the primary basis, and it is difficult to effectively improve the power consumption experience

On the other hand, although many achievements have been made in the research of reliability prediction and improvement methods, the current reliability improvement of smart distribution network is mainly based on the optimization of the scheme, without considering the optimization of the implementation object of reliability improvement.

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