A method and system for optimizing objects for improving the reliability of power consumption in a smart distribution network

Abstract

The invention discloses a method and a system for optimizing an object for improving the reliability of power consumption in an intelligent distribution network. The system includes a data acquisition module, an evaluation module and a storage module. The optimal method includes: establishing an evaluation index system for the improvement of demand for electricity reliability in smart distribution networks; the data acquisition module acquires relevant index data and stores them in the storage module; the evaluation module then normalizes the index values ​​of all candidates Dimensionless, form a standardized index matrix; calculate the subjective and objective weight values ​​of each index, and obtain the comprehensive weight value of each index; calculate the weighted normalized index matrix, determine the positive and negative absolute ideal solutions, and calculate the gray value of each candidate object Correlation degree: Calculate the relative closeness of each candidate object to the positive ideal solution, optimize the reliability improvement object according to its size, and output the optimized result to the storage module. The invention can comprehensively evaluate the real power consumption situation of the users in the smart distribution network, and guide the development of the electricity reliability improvement project of the smart distribution network.

Description

technical field [0001] The invention relates to the field of power supply reliability evaluation, in particular to a method and system for optimizing objects for improving power reliability of an intelligent distribution network. 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 real po...

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, the current distribution network reliability improvement project only takes the power supply reliability 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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