Multi-basin hydropower station cluster power generation planning system based on big data

Abstract

The invention discloses a multi-basin hydropower station cluster power generation planning system based on big data. The hydropower station cluster power generation planning system comprises a detection module, a prediction module and a decision module. The detection module comprises a detection sub-module I used for counting the inflow capacity of the hydropower station cluster. The detection sub-module II is used for counting reservoir electric quantity. The detection sub-module III is used for counting overhaul technical improvement electric quantity. The detection sub-module IV is used forcounting ecological flow electric quantity. The real-time power generation module is used for monitoring the real-time power generation condition of the hydropower station cluster. The prediction module comprises a prediction sub-module I used for predicting the incoming water capacity of the hydropower station cluster, a prediction sub-module II used for predicting the reservoir electric quantity, a prediction sub-module III used for predicting the overhaul technical improvement electric quantity and a prediction sub-module IV used for predicting the ecological flow electric quantity, and the decision-making module is connected with the prediction module. A multi-basin hydropower station cluster power generation plan is formed, calculation of the power generation plan is realized, and the method is of great significance to management and operation of the hydropower station cluster.

Description

technical field [0001] The invention relates to the technical field of dispatching operation of power stations, in particular to a multi-basin hydropower station cluster power generation planning system based on big data. Background technique [0002] On the one hand, with the development of my country's economy, the power industry environment has undergone major changes, and the power supply and demand have gradually changed from a large-scale shortage to a partial oversupply. Sichuan Province is rich in hydropower resources, with large hydropower installed capacity, many market players, and fierce competition. At the same time, Sichuan Province has obvious differences between wet and dry seasons, and the resource endowment of each river basin is also very different. These changes and characteristics have brought new challenges to the management of hydropower groups. Require. [0003] On the other hand, with the continuous advancement of informatization construction, the s...

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Problems solved by technology

[0003] On the other hand, with the continuous advancement of informatization construction, the software and hardware equipment and systems of enterprises are gradually increasing. However, most hydropower stations currently use a single power station as a data collection unit, which is not integrated at the hydropower station cluster level, or only in the cluster. Simple data summary at the level, without in-depth analysis, calculation, and integration, there are many problems such as repeated data and low utilization efficiency to varying degrees, and it is urgent to optimize integration, vigorously tap data value, and improve the level of informatization

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