Intelligent optimized power generation system of small and medium-sized power stations

Abstract

The invention discloses an intelligent optimized power generation system of small and medium-sized power stations, which comprises intelligent autonomous control of active loads and automatic adjustment of power factor and reactive power. According to the intelligent autonomous control of active loads, the water level and the change rate of a forebay are read in real time, the influence of waves on the water surface is eliminated through a digital filtering technology, and the change trend of the water volume of the forebay is calculated. The intelligent optimized power generation system of the small and medium-sized power stations is a functional module integrated on an integrated automation system of the hydropower station. The intelligent optimized power generation system acquires real-time acquired data of the power station and realizes real-time intelligent control on related equipment of a generating set of the power station by means of the integrated automation system of the hydropower station. Meanwhile, the integrated automation system of the power station is connected with a remote cloud platform through the Internet by means of the system, thereby enabling the hydropowerstation and the cloud platform to meet real-time interaction requirements, and realizing the remote real-time monitoring of the hydropower station.

Description

technical field [0001] The invention relates to the technical field of power generation systems, in particular to an intelligent optimized power generation system for small and medium power stations. Background technique [0002] In the field of hydropower generation, there are nearly 50,000 hydropower stations in China, most of which are small and medium-sized hydropower stations. The installed capacity is selected based on the average flow rate for many years and the water head that may be obtained. When the incoming water flow rate is greater than the water passing capacity of the hydropower station's turbine, the hydropower station will operate at full capacity, and the excess water will not be generated by the unit, but will be directly discharged downstream through the drain, which is called waste water. Water, when there is less incoming water, all the incoming water passes through the unit to generate electricity, but part of the installed capacity is not used due to...

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Problems solved by technology

[0002] In the field of hydropower generation, there are nearly 50,000 hydropower stations in China, most of which are small and medium-sized hydropower stations. The installed capacity is selected based on the average flow rate for many years and the water head that may be obtained. When the incoming water flow rate is greater than the water passing capacity of the hydropower station's turbine, the hydropower station will operate at full capacity, and the excess water will not be generated by the unit, but will be directly discharged downstream through the drain, which is called waste water. Water, when there is less incoming water, all the incoming water passes through the unit to generate electricity, but part of the installed capacity is not used due to water shortage. This type of power generation operation is called run-of-the-river power generation. Relevant, and affected by regional rainfall, the incoming water changes frequently and rapidly. Therefore, the incoming water situation cannot be accurately predicted in advance. It can only generate as much electricity as the incoming water. In the water season, even when the inflow of water is not enough and the power generation is not running, personnel will be arranged to take turns to generate electricity. Generally, the energy of the on-duty personnel is mainly spent on adjusting the load of the unit according to the incoming water on / off unit and the change of water volume. This requires the on-duty personnel to work 24 hours a day. Uninterrupted monitoring and control of the panel will also frequently occur due to insufficient water flow due to untimely control by the on-duty personnel, vibration of the pipeline of the unit or overflow of incoming water but the unit has a large amount of spare capacity, etc., which brings economic benefits to the operation of the power station. Losses, especially for power stations with rapid changes in water flow, the requirements for on-duty personnel are much higher, and real-time control will be more frequent

[0003] Because the control of the power station needs someone to watch the disk from time to time, there is a high real-time requirement, so the on-duty personnel arranged by the power station are at least two people, which increases the operating cost of the power station, and often occurs that the on-duty personnel do not control in time , when the water in the front pool is not enough, the water inlet of the turbine pipeline that is generating power will be exposed to the water surface, causing the unit and the pipeline to vibrate, endangering the safety of the equipment. The water energy is wasted, the power generation revenue is lost, and the water level of the forebay cannot be kept at a higher position to generate electricity to improve the water energy utilization level; because this requires higher control sensitivity, and the on-duty personnel generally work continuously for nearly 12 hours Hours, it cannot support such long-term high-sensitivity real-time control. When the on-duty personnel adjust the load according to the water level of the forebay, the change of the incoming water is much slower than the control, which often leads to artificial over-adjustment of the unit, making the The unit load adjustment oscillates back and forth, which will affect the normal service life of the equipment in the long run. Therefore, we propose an intelligent optimization power generation system for small and medium power stations

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