Multi-scale random production simulation method considering extra-high voltage direct current delivery optimization

Abstract

The invention discloses a multi-scale random production simulation method considering extra-high voltage direct current transmission optimization. The method comprises the following steps: acquiring a monthly representative daily expectation scene and a daily expectation scene; carrying out monthly production simulation and daily production simulation by adopting a long-period random production simulation objective function and combining the obtained monthly representative daily expected scene and daily expected scene data; adopting a short-period distribution robust optimization objective function, and carrying out day-ahead optimization and day-to-day rolling optimization in combination with a given day-ahead prediction scene and a given day-to-day prediction scene; and returning the direct current external transmission corrected electric quantity, restarting the monthly production simulation and the daily production simulation to optimize the electric quantity of the remaining months until a whole-year plan is completed. According to the invention, the accuracy of different time scale information is fully considered, the economical efficiency of system operation is effectively improved while certain safety is ensured, and consumption of new energy is promoted.

Description

technical field [0001] The invention relates to a multi-scale stochastic production simulation method considering the optimization of UHV direct current transmission, and belongs to the technical field of power systems. Background technique [0002] China's "double carbon" goal will promote the rapid development of new energy sources. It is estimated that by 2030, the total installed capacity of wind power and solar power will reach more than 1.2 billion kilowatts. Due to the reverse distribution of load and new energy installed capacity, the low proportion of flexible power supply, and the limited level of grid interconnection, the contradiction of new energy consumption in some areas has become increasingly prominent. Surplus power can be sent across regions to realize the consumption of new energy power generation, among which UHV DC transmission plays an important role in the cross-regional consumption of wind and solar resources. Usually, according to the interval long...

AI Technical Summary

Problems solved by technology

Among them, the scenario method and chance constrained programming describe the uncertainty of random new energy output based on the statistics or prediction of probability distribution, and the distribution probability of random new energy output is difficult to obtain accurately, which makes the optimization results have security risks

The robust optimization decision-making focuses on the boundary conditions of uncertain parameters, and the optimization results are conservative

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