Multi-objective coordinated optimization scheduling model for different power sources

Abstract

The invention provides a multi-objective coordinated optimization scheduling model for different power sources, and the model comprises a rolling scheduling module, a real-time scheduling module, and an AGC control module. The scheduling model is essentially a model where a rolling plan scheduling and real-time scheduling plan stage is added between a current power generation plan and AGC power generation control, and a technical support link of intelligent decision and adaptive coordinated control is built at the stage, thereby replacing a conventional manual adjustment mode, alleviating the labor intensity of a dispatcher on duty, consuming the wind power to maximum degree, and achieving the high-quality supply of power. In addition, the scheduling model enables the total output of sets to be close to actual power generation demand amounts step by step, reduces the uncertainty of a current plan, and guarantees that the output plans of all sets are more reasonable and more significant.

Description

technical field [0001] The invention belongs to the technical field of power dispatching, and in particular relates to a multi-objective coordination optimization dispatching model for power sources with different characteristics. Background technique [0002] Power system economic dispatch refers to a dispatch method that realizes the reasonable distribution of generation load among units at the most economical operating cost and ensures reliable power supply to users under the conditions of network security and generation load balance. According to different optimization periods, the power system optimal dispatching problem can be divided into two aspects: static optimal dispatching and dynamic optimal dispatching. [0003] Static optimal dispatch refers to the problem of optimal distribution of economic load for a single operating time section of the power system. Static optimal dispatch is mainly divided into two categories in terms of algorithm: classical economic disp...

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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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