Optimized formulating method for seasonal time-of-use electricity price

Abstract

The invention relates to a method for formulating the seasonal time-of-use electricity price. The method comprises the steps of 1) preprocessing user load data, and performing seasonable time period division and peak-valley time period division on the load by adopting a clustering analysis method according to preprocessed user load characteristics; 2) building a user response model considering seasonal characteristics based on a demand price elasticity theory; building an optimization model by considering both a user side and a power supply side and taking the user power utilization expenditure, the power utilization habit satisfaction degree and the curve load rate as optimization objectives; and 4) solving a multi-objective function by adopting a fast non-dominated sorting genetic optimization algorithm with an elitist strategy and deviation sorting to obtain the comprehensively optimal electricity price. User load changes brought about by the seasonal characteristics are sufficiently considered in the electricity price formulating process, and a feasible method is provided for formulating the seasonal time-of-use electricity price.

Description

technical field [0001] The invention relates to the field of smart grid demand side management, relates to a time-of-use electricity price formulation method, in particular to a seasonal time-of-use electricity price optimization formulation method. Background technique [0002] In recent years, with the continuous development of my country's economy and the continuous improvement of science and technology, people's demand for high-quality energy has also continued to increase. How to deal with the impact of climate change and ensure energy safety, high efficiency, and clean use have become hot topics. Therefore, The worldwide energy revolution triggered by it is coming quietly. In the power industry, with the promotion of smart grids and the improvement of the power market, the emphasis on demand-side resources has been deepening, and demand-side management is becoming a priority development strategy for various countries. Demand-side management is to guide power users to u...

AI Technical Summary

Problems solved by technology

However, most of these studies are based on the premise of the time-of-use electricity price within 24 hours a day, and do not take into account that the user load will change due to factors such as seasonal changes, economic levels, and regional climate.

Therefore, the use of a fixed peak-valley time-of-use electricity price throughout the year lacks flexibility in actual implementation and cannot effectively mobilize users' enthusiasm for rational electricity use

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