Intelligent power distribution and utilization evaluation method conforming to low-carbon energy policy

Abstract

The invention discloses an intelligent power distribution and utilization evaluation method conforming to the low-carbon energy policy. The method comprises the steps of selecting multiple evaluation indicators which embody low carbon benefits at the power distribution side and the power utilization side of a smart power grid, and utilizing the entropy weight method for determining indicator weight for indicator values; then adopting the support vector machine method for conducting dynamic prediction analysis. The method comprises the specific steps of establishing power distribution and utilization indicator models, conducting data pre-processing on the established indicators, adopting the entropy weight method for evaluating the indicators, and adopting the support vector machine method for conducting the dynamic prediction analysis on the indicators. By means of the method, on one hand, aiming at the benefits of the power distribution side and utilization side of the smart power grid which are obtained in energy saving and emission reduction, the dynamic evaluation method which conforms to the low-carbon energy policy can be raised for being adapted to the development process of intelligent power distribution and utilization systems, the development level of relevant indicators at the power distribution side and power utilization side of the smart power grid can be reflected, on the other hand, the development law of each indicator within a certain time frame in future can be researched, and it is facilitated to formulate relevant policies for promoting the intelligent power distribution and utilization systems to develop in the low carbon direction.

Description

technical field [0001] The invention belongs to the technical field of smart grid evaluation, and in particular relates to an evaluation method for intelligent power distribution and utilization in compliance with low-carbon energy policies. Background technique [0002] As a major carbon emitter, the power industry bears huge pressure on emission reduction and low-carbon reform, and is also the main force in promoting the development of low-carbon economy. In order to respond to the national call for energy conservation and emission reduction, and to drive the coordinated and orderly development of the entire power industry in the direction of low-carbonization, it is necessary to establish a low-carbonization intelligent power distribution evaluation method. On the power distribution side of the smart grid, with the widespread access of distributed power sources such as wind turbines and photovoltaics, the proportion of renewable energy in power production and consumption ...

AI Technical Summary

Problems solved by technology

However, the current evaluation research and practice mainly focus on how to design the evaluation indicators, and the evaluation methods rarely reflect the time-varying characteristics of various designed indicators.

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