An Integrated Energy System Scheduling Method with Dynamic Time Intervals

Abstract

The invention discloses a comprehensive energy system scheduling method for a dynamic time interval, and the method comprises the following steps: establishing a comprehensive energy system schedulingframework based on the prediction control of a dynamic time interval model; establishing a comprehensive energy system day-ahead scheduling model; establishing an intra-day scheduling 'track deviation-control energy-control cost ' performance index based on model prediction control; establishing a dynamic time interval decision index; and establishing an energy conversion unit, a heat supply network model, a gas network model and a power grid model. The comprehensive energy system scheduling method has the beneficial effects that the dynamic time interval comprehensive energy system scheduling method taking trajectory deviation-control energy-control cost as a performance index is considered, so that the performance index has enough adjustable margin, and different scene requirements aremet; the dynamic time interval decision index is considered, the real state that the system is about to generate or even has a large error can be reflected, and the decision index is provided for judging whether the system needs to issue a scheduling instruction.

Description

technical field [0001] The invention relates to the technical field of integrated energy system scheduling, in particular to an integrated energy system scheduling method based on a dynamic time interval model dynamic time interval. Background technique [0002] With the massive access of renewable energy, the integrated energy system is an important way to achieve efficient energy utilization. The optimal scheduling of integrated energy systems is a key technology to realize the coordinated and complementary utilization of various energy sources. In optimal dispatching, the accuracy of the dispatching plan largely depends on the accuracy of load forecasting within the dispatching period, and there is inevitably a certain error in the net load forecasting, which increases with the increase of the dispatching period. The impact of can be reduced by dividing the scheduling period. However, the power network, natural gas network and thermal network have different response spe...

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Problems solved by technology

[0003] At this stage, most of the scheduling research on integrated energy systems is based on fixed time intervals, optimizing system day-ahead / intra-day scheduling strategies. In terms of scheduling methods based on model predictive control, most of them are based on fixed time intervals and consider trajectory deviation. However, Few of these studies considered scheduling methods for model predictive control with dynamic time intervals

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