Real-time scheduling method for hybrid energy system accessing large-scale renewable energy

Abstract

The invention discloses a real-time scheduling method for a hybrid energy system accessing large-scale renewable energy. According to real-time running scheduling requirements of the hybrid energy system, a real-time running correction model of the cooling heating and power hybrid energy system is built on the basis of analyzing output characteristics of the renewable energy; a running scheme, established a few days ago, of the cooling heating and power hybrid energy system is corrected in real time through the real-time correction model to counteract the influence of a prediction error so asto ensure that the cooling heating and power hybrid energy system can run safely, stably, reliably and economically; based on this, a real-time running rolling optimization model of the cooling heating and power hybrid energy system is built to update planned running points of various energy supply devices at the next moment; and by executing a scheduling result of the real-time running correctionmodel and the real-time running rolling optimization model, the system can realize real-time supply and demand balance of the energy under the condition of considering a day-ahead scheduling plan.

Description

technical field [0001] The invention relates to a real-time operation and scheduling technology of a hybrid energy system, in particular to a real-time scheduling method for a hybrid energy system connected to large-scale renewable energy. Background technique [0002] With the continuous improvement of the penetration rate of renewable energy and the continuous increase of various load scales in the hybrid energy system of cooling, heating and power, the reliability and economy of the hybrid energy system of cooling, heating and power are facing increasingly severe challenges. Since a large amount of renewable energy is connected to the hybrid energy system of cooling, heating and electricity, the output of these renewable energy has the characteristics of randomness, intermittent and fluctuation, and it is difficult to achieve absolute error-free prediction in the day-ahead output forecast. Changes in the output and load of these renewable energy sources will cause the sys...

AI Technical Summary

Problems solved by technology

[0003] At present, some scholars have conducted research on the real-time operation of the hybrid energy system of cooling, heating and electricity around the topic of real-time correction. The research content of the real-time operation of the hybrid energy system of cooling, heating and electricity mainly focuses on two aspects. The reliability of dispatching, the second is how to use the correction strategy to dispatch the system in real time according to the prediction error, but the absolute error-free prediction cannot be achieved in the mixed cooling, heating and power energy system, so the revision of the day-ahead dispatching plan is inevitable

When formulating the correction strategy, it is common to only balance the real-time power deficit without updating the day-ahead scheduling plan according to the changed system operation status, which will cause the real-time operation results to deviate from the day-ahead operation target

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