Scene set-based wind power-containing electric power system operation standby dynamic scheduling optimization method

Abstract

The invention discloses a scene set-based wind power-containing electric power system operation standby dynamic scheduling optimization method, which comprises the following steps of sampling to generate a wind power output scene and a load scene as an initial scene set according to wind power output prediction error probability distribution and load prediction error probability distribution; screening the initial scene set by adopting a synchronous back substitution reduction method to obtain a representative scene set; calculating a power loss index and a wind curtailment index of each scenein the representative scene set; calculating an up-regulation standby demand and a down-regulation standby demand; taking the up-regulation standby demand and the down-regulation standby demand as reliability constraints, and establishing a day-ahead unit combination model; and solving the day-ahead unit combination model to obtain a day-ahead unit start-stop plan, an output plan and standby configuration. According to the method, the wind power output scene and the load scene are constructed, the forced outage rate of the generator is considered, the unit output and standby decision dynamiccoordination scheduling model is established, and wind curtailment and power limitation caused by insufficient standby are avoided.

Description

technical field [0001] The invention belongs to the field of electric power system power generation dispatching, and in particular relates to a scene set-based dynamic dispatching optimization method for electric power systems containing wind power. Background technique [0002] The power system operation reserve refers to the fast active response capacity reserved to cope with load fluctuations, wind power output fluctuations, generator outages and other uncertainties, and to meet the needs of reliable and continuous power supply to loads. Insufficient spare capacity allocation will lead to a decrease in system security and reliability, and in severe cases, it will result in wind curtailment and load shedding operations; too much allocation will improve system reliability, but it will result in a wasteful situation of spare capacity. Large-scale wind power grid connection brings more uncertainties. Traditional backup decision-making and scheduling methods are difficult to d...

AI Technical Summary

Problems solved by technology

The Monte Carlo sampling method is a sampling method based on random numbers and pseudo-random numbers. It is a completely random sampling technique. Points with higher sample probability are easier to be drawn. When sampling with low probability, the aggregation phenomenon of the sampling results will be more obvious, with a large error

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