Active power dispatching model and dispatching system with minimum wind curtailment

Abstract

The invention provides an active scheduling model and scheduling system with least wind curtailment wherein the scheduling system comprises a power generation set role assignment module, a rolling scheduling module, a real-time scheduling module and an AGC control module. The active scheduling model with the least wind curtailment is applied to the real-time scheduling module. According to the real-time wind power forecast result, the power generation requirement can be corrected in real time so as to correct the effort plan of all power generation sets in the remaining period, to enable that the overall effort of the power generation sets to be gradually close to the actual power generation requirement, to reduce the uncertainty faced by the current plan and to ensure that the effort plan of the power generation sets are more proper and of more significance.

Description

Technical field [0001] The invention belongs to the technical field of electric power dispatching, and specifically relates to an active power dispatching model and dispatching system with minimal wind abandonment. Background technique [0002] The economic dispatch of the power system refers to a dispatch method that realizes the reasonable distribution of power generation load among units at the most economical operating cost under the conditions of network security and power generation load balance, and guarantees reliable power supply to users. According to different optimization periods, the power system optimal dispatch problem can be divided into two aspects: static optimal dispatch and dynamic optimal dispatch. [0003] Static optimal dispatch refers to the optimal allocation of economic load for a single operating time section of the power system. The algorithm of static optimization scheduling is mainly divided into two categories: classic economic scheduling based on th...

AI Technical Summary

Problems solved by technology

However, after large-scale wind power is connected, the prediction accuracy of wind power is much lower than that of traditional load prediction, and with the extension of optimization time, the error of wind power prediction increases significantly. The predicted results of the traditional open-loop dynamic dispatching model deviate greatly from the actual grid demand, and it is urgent to improve this dispatching model

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