Multi-time-scale rolling scheduling method and system for dynamic economic scheduling

Abstract

The invention discloses a multi-time-scale rolling scheduling method and system for dynamic economic scheduling, and the scheduling method comprises the following steps: constructing a new energy power generation aggregation party with complementary power generation characteristics based on a power generation composition structure of a power system; establishing a load matching coefficient, and carrying out smooth optimization on a load curve; making a day-ahead plan for the output of the power generator according to an optimized load maximum matching principle, and solving the real-time output of the new energy aggregator under the condition that the load matching coefficient is minimum; performing output adjustment on the power generation end according to the intra-day scheduling model;and performing output fine adjustment on the power generation end according to the real-time scheduling model. According to the multi-time-scale rolling scheduling method, the method comprises the steps of: performing aggregation scheduling on new energy with complementary characteristics; and considering the power supply and demand matching degree, optimizing the load, and stabilizing the outputfluctuation of the conventional energy unit. The new energy consumption rate is effectively increased, the phenomena of wind curtailment and light curtailment are reduced, and meanwhile, the scheduling burden and the regulation cost of a power grid on a conventional energy unit are reduced.

Description

technical field [0001] The invention relates to the field of dynamic economic mobilization, in particular to a multi-time-scale rolling dispatch method and system for dynamic economic dispatch. Background technique [0002] In 2011, my country has become the world's largest carbon dioxide emitter. Due to the composition of my country's energy structure, environmental problems have become increasingly serious. New energy has received extensive attention based on its clean and renewable characteristics. As of 2018, the global cumulative installed wind power capacity has reached 591GW, and the global cumulative photovoltaic installed capacity has exceeded 510GW. New energy units have rapidly become popular in recent years. However, due to factors such as uncertainty in the output of new energy units, low controllability, and poor consumption rate, the problem of large-scale new energy grid integration cannot be ignored. [0003] New energy output has the characteristics of tim...

AI Technical Summary

Problems solved by technology

[0005] At present, the application of new energy units is only connected to the grid on the basis of independent individuals, and there is no way to aggregate and uniformly dispatch new energy units according to the unique complementary characteristics of new energy sources, and at the same time deal with the problems of wind and solar curtailment. Relatively simple, resulting in the phenomenon of abandoned wind and light has not been improved

At the same time, the power system predicts new energy output basically on a single time scale, and does not take advantage of the advantage of multi-time scales that can enhance the accuracy of new energy output forecasts.

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