A low-carbon benefit assessment method for demand response based on flexible load

Abstract

The present invention provides a demand response low-carbon benefit evaluation method based on flexible loads. The method includes the following steps: (1) Divide flexible loads into two categories according to production characteristics, including continuous flexible loads and discrete flexible loads; (2) Establish the conceptual index of comprehensive low-carbon benefits; (3) Establish an optimal dispatch model based on the flexible load classification and the conceptual index of comprehensive low-carbon benefits, and evaluate the corresponding low-carbon benefits according to the optimal dispatch model. The invention utilizes the demand response dispatching model to urge the power grid side and the user side to work together to reduce carbon emissions while increasing the consumption of new energy and reducing costs.

Description

technical field [0001] The invention relates to a low-carbon benefit evaluation method, in particular to a flexible load-based demand response low-carbon benefit evaluation method. Background technique [0002] Global climate change will cause about 5% of the world's GDP loss, and the emission of greenhouse gases caused by human social activities is the main cause of climate change. Among the main gases of the greenhouse effect, according to detailed statistics, global climate change will cause about 5% of the world's GDP loss, and the emission of greenhouse gases caused by human social activities is the main cause of climate change. gas, CO 2 The proportion has reached 77%, so the reduction of CO 2 Emissions, controlling the greenhouse effect, and curbing global warming have become the focus of continuous attention of governments around the world. Under the environment of smart grid and energy saving and emission reduction, the development trend of power grid is moving t...

AI Technical Summary

Problems solved by technology

[0005] In the traditional demand response scheduling model, all the loads that can participate in the scheduling are treated indiscriminately, and the load characteristics in the actual operation process are not taken into consideration, resulting in the results of the test often not matching the actual operation.

Traditional demand response scheduling mostly considers various interests such as grid side and user side costs, profits, and satisfaction, and does not take environmental factors into account

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