Power grid thermal power generating unit peak load regulation factor determining method based on multi-factor analysis

Abstract

The invention discloses a power grid thermal power generating unit peak load regulation factor determining method based on multi-factor analysis; the method comprises the following steps: listing quantification index and qualitative index influence factors considered in power generating unit peak load regulation capability assessment; using online thermal test to determine operation data and performance indexes in real time in a power generating unit peak load regulation period; online calculating the quantification index needed in power generating unit peak load regulation capability assessment in real time; using an expert system to determine a quantification index reference value, a weight value and scoring rules, calculating scores of each quantification index, and using the expert system to determine the qualitative index reference value and weight value; scoring the quantification index and qualitative index factors, integrating examine scores of the two indexes, thus obtaining a peak load regulation capability assessment total score in one evaluation period; using the peak load regulation capability assessment total score as the peak load regulation factor of the period, comparing the peak load regulation factors, and thus integrally scientifically and reasonably evaluating the peak load regulation capability between different power generating units.

Description

technical field [0001] The invention relates to the technical field of thermal power generation, in particular to a method for determining the peak-shaving factor of a thermal power unit in a power grid based on multi-factor analysis. Background technique [0002] With the needs of the sustainable development of my country's electric power industry and national economy, UHV power grids are gradually being built, and clean energy such as wind power, solar energy, and nuclear power are connected on a large scale. , abandoned wind, abandoned light phenomenon. For this reason, the National Development and Reform Commission and the National Energy Administration issued the "Trial Measures for the Priority Power Generation of Renewable Energy Peak-shaving Units", requiring that coal-fired power units of a certain scale be selected for renewable energy peak-shaving, effectively alleviating water, wind, and waste. Light, promote the consumption of renewable energy. Renewable energy...

AI Technical Summary

Problems solved by technology

[0005] 1) The peak shaving range only reflects the impact of the maximum and minimum technical output of the unit on the peak shaving capability of the unit, and does not reflect the influence of other factors such as the start-up and stop time of the unit, output adjustment rate, etc. From the perspective of exhaust demand, taking into account the influence of factors such as safety, environmental protection, and energy consumption of thermal power units

[0006] 2) The peak-shaving capability of a thermal power unit depends on many factors, and how to reasonably select various factors and evaluate the peak-shaving capability according to the rules jointly formulated by all parties is also a difficult problem

This is mainly due to the diversity of factors affecting the peak-shaving capability of units, which is difficult to express with quantitative relations, and thus it is difficult to achieve an objective and fair comparison of the peak-shaving capabilities of different units

[0007] 3) In the past, the evaluation of the peak-shaving capability of the unit required the completion of field tests

The traditional on-site supervision method needs a lot of time, manpower and material resources, and can only be carried out at a selected time and point. Therefore, online real-time supervision is needed as a useful supplement

[0009] In short, the traditional evaluation method of thermal power unit’s peak-shaving ability does not take into account the influence of multiple factors, nor does it consider the impact of dynamic changes, lacks quantitative evaluation indicators, and cannot fully reflect the impact of multiple factors on the unit’s peak-shaving ability. It is relatively rough; and the peak-shaving capacity evaluation is completely completed through field tests. In this way, the large power grid cannot realize the comprehensive and rolling screening of renewable energy peak-shaving units; and it is impossible to supervise the whole process of grid-related peak-shaving units.

Because of this, it is currently difficult for us to conduct a fair and objective evaluation, comparison, and ranking of the peak-shaving capabilities of different units. Optimal safe, economical and environmentally friendly operation during peak shaving

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