Source-network-storage coordinated and interactive thermal power generating unit climbing pressure relieving method

Abstract

The invention discloses a source-network-storage coordinated and interactive thermal power generating unit climbing pressure relieving method, which comprises the following steps of: firstly, constructing a source-network-storage coordinated and interactive photovoltaic consumption system model containing photovoltaic, thermal power, direct current modulation and an energy storage system; secondly, comprehensively considering photovoltaic fluctuation characteristics and start-stop cost and adjustment characteristics of each adjustment mode, proposing a source-network-storage coordinated and interactive adjustment strategy which comprises three different adjustment modes, and finally, selecting a proper adjustment mode in different time periods and different scenes, coordinating the climbing rate and the output proportion of the thermal power generating unit, energy storage and direct current modulation. Photovoltaic absorption is enhanced, the climbing pressure of the thermal power generating unit is reduced, and meanwhile the system operation cost is reduced.

Description

technical field [0001] The invention relates to the technical field of grid-connected consumption of new energy, in particular to a "source-grid-storage" coordination and interaction adjustment strategy for alleviating the climbing pressure of thermal power units. Background technique [0002] With the grid-connected power generation of large-scale new energy, my country's power grid is facing a series of technical problems such as new energy consumption, system peak regulation, new energy power forecasting, and planned output management. Different from conventional thermal power with flexible scheduling, the output of new energy sources such as photovoltaic power generation has strong intermittent, random and high-frequency fluctuations, which greatly increases the uncertainty of grid dispatching operation, and the typical output curve of photovoltaics and the change of peak load Extremely mismatched, the high proportion of photovoltaic grid connection makes the net load cu...

AI Technical Summary

Problems solved by technology

On the power supply side, the hydropower joint commissioning mechanism is mainly used to effectively improve the system peak shaving capability and reduce the system operating cost, but limited by the operating conditions of hydropower, it cannot be promoted on a large scale; on the power grid side, the main use of new energy power climbing events The prediction and early warning model of the proposed model increases the response time of thermal power units by early warning of power ramp events. However, due to the difficulty in obtaining atmospheric information such as cloud data, the model still has certain prediction deviations; The factor adjustment method and the advance adjustment method cut peaks and fill valleys to increase the photovoltaic consumption capacity of the system and relieve the climbing pressure of thermal power units. However, due to the lack of response quantity prediction technology and real-time feedback technology, the effect of demand response often differs from the expected effect. ; On the energy storage side, the hierarchical optimization scheduling scheme mainly uses the energy storage to assist thermal power unit peak regulation, which reduces the waste of new energy to a certain extent, but this scheme cannot cope with the special situation when photovoltaics fluctuate greatly or rapidly

[0004] The above method mainly solves the problem of high-proportion photovoltaic grid connection through single resource regulation or improving the photovoltaic power prediction rate, and the effect is limited compared with the multi-resource regulation strategy.

However, most of the existing multi-resource regulation strategies are interactive regulation strategies such as source-source complementarity, source-network coordination, grid-load interaction, grid-storage interaction, and source-load interaction. , its peak shaving capability is not stable in actual power grid operation

In addition, the current multi-resource control strategy rarely considers the cost of peak regulation, and cannot take into account the system operating cost while improving the level of photovoltaic consumption and relieving the climbing pressure of thermal power units.

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