Thermal power plant electric heating energy state data measurement accuracy index prediction method

Abstract

A thermal power plant electrothermal energy state data measurement accuracy index prediction method comprises the following steps: 1, determining thermal power plant electrothermal energy state data measurement accuracy index related parameters; 2, establishing a time sequence of parameters related to the measurement accuracy of the electric heating energy state data of the thermal power plant according to the obtained measurement values; 3, an influence factor # imgabs0 # of parameters related to the measurement accuracy of the electric heating energy state data of the thermal power plant at the next moment is calculated; 4, predicted values of the parameters related to the measurement accuracy of the electric heating energy state data of the thermal power plant at the moment Tm + 1 are calculated; 5, obtaining a normalized value of the prediction value of the parameter related to the measurement accuracy of the electric heating energy state data of the thermal power plant; and 6, calculating a prediction value # imgabs1 # of the measurement accuracy index of the electric heating energy state data of the thermal power plant at the time of Tm + 1 to realize prediction of the measurement accuracy index of the electric heating energy state data of the thermal power plant. By means of the method, the data measurement accuracy can be improved, electric heating system resource regulation and control are optimized, and real-time supply and demand interactive balance and intelligent optimization and adjustment are achieved.

Description

Technical Field

[0001] The invention relates to the field of energy state data measurement, and in particular to a method for predicting the accuracy index of electric and thermal energy state data measurement in a thermal power plant. Background Art

[0002] In recent years, due to the improvement of new energy technology and the adjustment of global energy structure, the energy construction mode has gradually diversified, and the single traditional energy supply side system has been changed to an integrated energy supply system of electricity and heat. However, the system will also reduce the efficiency of electric heat supply due to the complex coupling of electric and thermal equipment, the volatility of new energy power generation, and the deviation of electric and thermal load prediction. At present, there may be deviations or invalid data in the process of measuring electric and thermal energy state data in thermal power plants, and the data measurement accuracy is low. It is impossible to ensure the accuracy of the measurement of electric and thermal energy state data in thermal power plants, which makes it difficult to regulate the resources of electric and thermal systems and doubles the difficulty of optimizing the operation of thermal power plants. In view of this problem, it is necessary to determine a method in thermal power plants that can predict the measurement accuracy index of electric and thermal energy state data in thermal power plants. When the measurement accuracy requirements of electric and thermal energy state data in thermal power plants cannot be met, the number of energy state measurement sensors deployed in boilers and steam turbines in thermal power plants can be increased to meet the measurement accuracy requirements of electric and thermal energy state data in thermal power plants, so as to ensure that the electric and thermal combined energy system of thermal power plants can achieve real-time supply and demand interactive balance and intelligent optimization and regulation. However, there is currently no method to accurately judge the measurement accuracy of electric and thermal energy state data in thermal power plants. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the present invention proposes a method for predicting the accuracy index of electric and thermal energy state data measurement of a thermal power plant, which can accurately determine the accuracy of electric and thermal energy state data measurement of a thermal power plant.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A method for predicting the accuracy index of electric heat energy state data measurement in a thermal power plant comprises the following steps:

[0006] Step 1: Define the ESDI, the thermal power plant electric and thermal energy status data measurement accuracy index tp , and according to ESDI tp The definition of determines the parameters related to the accuracy index of the electric and thermal energy status data measurement of thermal power plants;

[0007] Step 2: Measure the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant, and establish a time series of the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant according to the obtained measurement values;

[0008] Step 3: Calculate the influence factors of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data on the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data at the next moment

[0009] Step 4: Calculate T according to the time series of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data and the influence factor of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data on the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data at the next moment. m+1 Predicted values ​​of parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy status data at the moment;

[0010] Step 5: normalizing the predicted values ​​of the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant to obtain the normalized values ​​of the predicted values ​​of the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant;

[0011] Step 6: Calculate T using the normalized values ​​of the predicted values ​​of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy status data m+1 Prediction value of the measurement accuracy index of thermal power plant electric and thermal energy status data at the moment Realize the prediction of the measurement accuracy index of electric and thermal energy status data of thermal power plants.

[0012] The thermal power plant electric heat energy state data measurement accuracy index ESDI in step 1 tp As shown in formula (1):

[0013]

[0014] Among them, T1, T2, ..., T z ,...,T m is a fixed time interval of m moments, where m is a natural number, m∈1,2,…, z is the zth moment, and z is a natural number, z∈{1,2,…,m}; T z Total power of steam turbine generators in thermal power plants at the moment; T z Total electric heating power of thermal power plant at the moment; P TE,max For T1, T2, ..., T z ,...,T m The maximum value of the total power measurement value of the steam turbine generator in the thermal power plant during the m fixed time intervals; P EH,max For T1, T2, ..., T z ,...,T m The maximum value of the total electric heating power measured by the thermal power plant during these m fixed time intervals; T zTotal power of combined heat and power generation units in thermal power plants at the moment; T z The heat production efficiency of the thermal power plant boiler at the moment; P EC,max For T1, T2, ..., T z ,...,T m The maximum value of the total power measurement value of the thermal power plant cogeneration unit in the m fixed time intervals; η BP,max For T1, T2, ..., T z ,...,T m The maximum value of the thermal efficiency measurement value of the thermal power plant boiler during these m fixed time intervals.

[0015] The parameters related to the accuracy of the measurement of the electric and thermal energy status data of the thermal power plant in step 1 include: the total power of the steam turbine generator of the thermal power plant, the total power of the electric heating of the thermal power plant, the total power of the combined electric and thermal production units of the thermal power plant, the heat production efficiency of the boiler of the thermal power plant, the total power of the user load, and the total load energy status of the thermal storage of the thermal power plant.

[0016] Furthermore, the method for measuring the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant in step 2 is: selecting m fixed time intervals T1, T2, ..., T z ,...,T m , the total power of the steam turbine generator in the thermal power plant is measured by measuring Measurement value of total electric heating power of thermal power plant The measured value of the total power of the combined heat and power generation units in a thermal power plant Measurement of thermal efficiency of boilers in thermal power plants Total power of user load Measurement of total energy state of thermal storage in thermal power plants

[0017] The time series of parameters related to the accuracy of the thermal power plant electric heat energy state data measurement in step 2 is shown in formula (2):

[0018]

[0019] Further, the calculation of the thermal power plant electric heat energy state data measurement accuracy related parameters in step 3 affects the influence factor of the thermal power plant electric heat energy state data measurement accuracy related parameters at the next moment. As shown in formula (3):

[0020]

[0021] in, For the T zThe influence factor of the relevant parameters of the thermal power plant's electric and thermal energy state data measurement accuracy at one moment on the relevant parameters of the thermal power plant's electric and thermal energy state data measurement accuracy at the next moment; P ET,min The total power of the steam turbine generator in the thermal power plant is T1, T2, ..., T z ,...,T m The minimum value of the measured values ​​at these m fixed time intervals; T z Total power of user load at the moment; P UL,min is the total power of user load at T1, T2, ..., T z ,...,T m The minimum value of the measured values ​​at these m fixed time intervals; T z The total heat storage load state of the thermal power plant at the moment; S TE,max The total energy state of thermal power plant heat storage is T1, T2, ..., T z ,...,T m The maximum value of the measured values ​​at these m fixed time intervals.

[0022] Furthermore, the predicted values ​​of the parameters related to the measurement accuracy of the thermal power plant electric and thermal energy state data in step 4 are shown in formula (4):

[0023]

[0024] in, T m+1 The predicted value of the total power of the steam turbine generator of the thermal power plant at the moment; T m+1 The predicted value of the total electric heating power of the thermal power plant at the moment; T m+1 The predicted value of the total power of the thermal power plant's combined heat and power generation units at the moment; T m+1 The predicted value of the thermal efficiency of the thermal power plant boiler at the moment; T m+1 The predicted value of the total power of user load at the moment; T m+1 The predicted value of the total heat storage load state of the thermal power plant at the moment.

[0025] Furthermore, the normalization process in step 5 is as shown in formula (5):

[0026]

[0027] in, T m+1 Normalized value of the total power forecast value of the steam turbine generator in the thermal power plant at the moment; Tm+1 Normalized value of the predicted total electric heating power of the thermal power plant at the moment; T m+1 Normalized value of the total power forecast value of the thermal power plant's combined heat and power generation units at the moment; T m+1 The normalized value of the predicted value of the thermal efficiency of the thermal power plant boiler at the moment; T m+1 Normalized value of the total power forecast of user load at the moment; T m+1 The normalized value of the predicted value of the total thermal storage energy state of the thermal power plant at the moment; P TE,min For T1, T2, ..., T z ,...,T m The minimum value of the total electric heating power measured by the thermal power plant during these m fixed time intervals; P EH,min For T1, T2, ..., T z ,...,T m The minimum value of the total power measurement value of the thermal power plant cogeneration unit in these m fixed time intervals; η BP,min For T1, T2, ..., T z ,...,T m The minimum value of the measured heat production efficiency of the thermal power plant boiler in these m fixed time intervals; P UL,max For T1, T2, ..., T z ,...,T m The maximum value of the total power measurement value of the user load in these m fixed time intervals; S TE,min For T1, T2, ..., T z ,...,T m The minimum value of the total heat storage load state measurement value of the thermal power plant during these m fixed time intervals.

[0028] Further, the step 6 comprises:

[0029] The calculation T m+1 Prediction value of the measurement accuracy index of thermal power plant electric and thermal energy status data at the moment The method is shown in formula (6):

[0030]

[0031] If the predicted value of the thermal power plant electric heat energy state data measurement accuracy index is obtained If the value is greater than or equal to 0.48, it is considered that the measurement accuracy of the electric and thermal energy state data of the thermal power plant at the next moment is sufficient. At this time, the number of energy state measurement sensors deployed in the boilers and turbines of the thermal power plant should be maintained. If the predicted value of the electric and thermal energy state data measurement accuracy index of the thermal power plant is obtained If it is less than 0.48, it is considered that the measurement accuracy of the electric and thermal energy status data of the thermal power plant at the next moment is reduced. At this time, the number of energy status measurement sensors deployed in the boilers and turbines of the thermal power plant should be increased.

[0032] The beneficial effects of adopting the above technical solution are:

[0033] Compared with the prior art, the method of the present invention can accurately determine the accuracy of the electric and thermal energy status data measurement of the thermal power plant at the next moment based on historical data, and adjust the effective data measurement at the next moment according to the prediction result, thereby reducing the possible deviation or invalid data in the process of measuring the electric and thermal energy status data, improving the data measurement accuracy, optimizing the resource regulation of the electric and thermal system, and helping the electric and thermal combined energy system of the thermal power plant to achieve real-time interactive balance of supply and demand and intelligent optimization and regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0035] Figure 1 Flow chart of the method for predicting the accuracy index of electric and thermal energy state data measurement of a thermal power plant in this embodiment. DETAILED DESCRIPTION

[0036] In order to facilitate the understanding of the present application, the specific embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings and embodiments. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thoroughly understood.

[0037] The method for predicting the accuracy index of the thermal power plant electric heat energy state data measurement in this embodiment is as follows: Figure 1 As shown, the following steps are included:

[0038] Step 1: Define the ESDI, the measurement accuracy index of the thermal power plant's electric and thermal energy status data tp , and according to ESDI tp The definition of determines the parameters related to the accuracy of the measurement of the electric and thermal energy status data of the thermal power plant;

[0039] The thermal power plant electric heat energy state data measurement accuracy index ESDI tp As shown in formula (1):

[0040]

[0041] Among them, T1, T2, ..., T z ,...,T m is a fixed time interval of m moments, where m is a natural number, m∈1,2,…, z is the zth moment, and z is a natural number, z∈{1,2,…,m}; T z Total power of steam turbine generators in thermal power plants at the moment; T z Total electric heating power of thermal power plant at the moment; P TE,max For T1, T2, ..., T z ,...,T m The maximum value of the total power measurement value of the steam turbine generator in the thermal power plant during the m fixed time intervals; P EH,max For T1, T2, ..., T z ,...,T m The maximum value of the total electric heating power measured by the thermal power plant during these m fixed time intervals; T z Total power of combined heat and power generation units in thermal power plants at the moment; T z The heat production efficiency of the thermal power plant boiler at the moment; P EC,max For T1, T2, ..., T z ,...,T m The maximum value of the total power measurement value of the power plant's combined heat and power generation unit at these m fixed time intervals; η BP,max For T1, T2, ..., T z ,...,T m The maximum value of the measured value of the thermal efficiency of the thermal power plant boiler at these m fixed time intervals;

[0042] The parameters related to the accuracy of the measurement of the electric and thermal energy status data of the thermal power plant include: the total power of the steam turbine generator of the thermal power plant, the total power of the electric heating of the thermal power plant, the total power of the electric and thermal cogeneration units of the power plant, the heat production efficiency of the boiler of the thermal power plant, the total power of the user load, and the total load energy status of the thermal storage of the thermal power plant;

[0043] Step 2: Measure the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant, and establish a time series of the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant according to the obtained measurement values;

[0044] The method for measuring the parameters related to the measurement accuracy of the electric and thermal energy state data of a thermal power plant is as follows: m fixed time intervals T1, T2, ..., T z ,...,T m, the total power of the steam turbine generator in the thermal power plant is measured by measuring Measurement value of total electric heating power of thermal power plant The measured value of the total power of the combined heat and power generation units in a thermal power plant Measurement of thermal efficiency of boilers in thermal power plants Measured value of total power of user load Measurement of total energy state of thermal storage in thermal power plants

[0045] The time series of parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data is shown in formula (2):

[0046]

[0047] In this embodiment, the fixed time interval in the measurement process is set to 1h, and 5 measurement moments are selected, namely T1, T2, T3, T4, and T5 as the 5 fixed time interval moments; the total power of the steam turbine generator of the thermal power plant is measured at the fixed time intervals T1, T2, T3, T4, and T5. The total power of the thermal power plant is measured at fixed time intervals T1, T2, T3, T4, and T5. The total power of the combined heat and power generation unit of the thermal power plant is measured at fixed time intervals T1, T2, T3, T4, and T5 The measured values ​​of the thermal efficiency of the thermal power plant boiler are measured at fixed time intervals of time T1, T2, T3, T4, and T5 The total power of the user load is measured at fixed time intervals T1, T2, T3, T4, and T5. The measured values ​​of the total energy state of thermal storage in the thermal power plant at fixed time intervals T1, T2, T3, T4, T5 The time series of parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy status data is established based on all the above-mentioned measured values ​​as follows:

[0048]

[0049] Step 3: Calculate the influence factors of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data on the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data at the next moment

[0050] The influence factor of the thermal power plant electric heat energy state data measurement accuracy related parameters on the thermal power plant electric heat energy state data measurement accuracy related parameters at the next moment As shown in formula (3):

[0051]

[0052] in, For the T z The influence factor of the relevant parameters of the thermal power plant's electric and thermal energy state data measurement accuracy at one moment on the relevant parameters of the thermal power plant's electric and thermal energy state data measurement accuracy at the next moment; P TE,min The total power of the steam turbine generator in the thermal power plant is T1, T2, ..., T z ,...,T m The minimum value of the measured values ​​at these m fixed time intervals; T z Total power of user load at the moment; P UL,min is the total power of user load at T1, T2, ..., T z ,...,T m The minimum value of the measured values ​​at these m fixed time intervals; T z The total heat storage load state of the thermal power plant at the moment; S TE,max The total energy state of thermal power plant heat storage is T1, T2, ..., T z ,...,T m The maximum value of the measured values ​​at these m fixed time intervals;

[0053] In this embodiment, according to formula (3), the influence factor of the thermal power plant electric heat energy state data measurement accuracy related parameters on the thermal power plant electric heat energy state data measurement accuracy related parameters at the next moment can be calculated as follows:

[0054] Step 4: Calculate T according to the time series of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data and the influence factor of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data on the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data at the next moment. m+1 Predicted values ​​of parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy status data at the moment;

[0055] The predicted values ​​of the parameters related to the measurement accuracy of the thermal power plant electric heat energy state data are shown in formula (4):

[0056]

[0057] in, T m+1 The predicted value of the total power of the steam turbine generator of the thermal power plant at the moment; T m+1 The predicted value of the total electric heating power of the thermal power plant at the moment; T m+1 The predicted value of the total power of the thermal power plant's combined heat and power generation units at the moment; T m+1 The predicted value of the thermal efficiency of the thermal power plant boiler at the moment; T m+1 The predicted value of the total power of user load at the moment; T m+1 The predicted value of the total heat storage load state of the thermal power plant at the moment;

[0058] In this embodiment, the predicted value of the parameters related to the measurement accuracy of the thermal power plant electric heat energy state data at time T6 is predicted according to formula (4):

[0059]

[0060] in, is the predicted value of the total power of the steam turbine generator of the thermal power plant at time T6; is the predicted value of the total electric heating power of the thermal power plant at time T6; is the predicted value of the total power of the thermal power plant's combined heat and power generation units at time T6; is the predicted value of the thermal efficiency of the thermal power plant boiler at time T6; is the predicted value of total user load at time T6; is the predicted value of the total heat storage load state of the thermal power plant at time T6;

[0061] Step 5: normalizing the predicted values ​​of the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant to obtain the normalized values ​​of the predicted values ​​of the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant;

[0062] The normalization process is shown in formula (5):

[0063]

[0064] in, T m+1 Normalized value of the total power forecast value of the steam turbine generator in the thermal power plant at the moment; T m+1 Normalized value of the predicted total electric heating power of the thermal power plant at the moment; T m+1 Normalized value of the total power forecast value of the thermal power plant's combined heat and power generation units at the moment; T m+1 The normalized value of the predicted value of the thermal efficiency of the thermal power plant boiler at the moment; T m+1 Normalized value of the total power forecast of user load at the moment; T m+1 The normalized value of the predicted value of the total thermal storage energy state of the thermal power plant at the moment; P TE,min For T1, T2, ..., T z,...,T m The minimum value of the total electric heating power measured by the thermal power plant during these m fixed time intervals; P EH,min For T1, T2, ..., T z ,...,T m The minimum value of the total electric heating power measured by the thermal power plant in these m fixed time intervals; η BP,min For T1, T2, ..., T z ,...,T m The minimum value of the total power measurement value of the thermal power plant cogeneration unit in the m fixed time intervals; P UL,max For T1, T2, ..., T z ,...,T m The maximum value of the total power measurement value of the user load in these m fixed time intervals; S TE,min For T1, T2, ..., T z ,...,T m The minimum value of the total energy state measurement value of thermal storage in the thermal power plant during these m fixed time intervals;

[0065] In this embodiment, the predicted values ​​of the parameters related to the measurement accuracy of the thermal power plant electric and thermal energy state data at time T6 are normalized as follows:

[0066]

[0067] in, It is the normalized value of the predicted total power of the steam turbine generator of the thermal power plant at time T6; is the normalized value of the predicted total electric heating power of the thermal power plant at time T6; It is the normalized value of the total power forecast value of the thermal power plant's combined heat and power generation units at time T6; is the normalized value of the predicted value of the thermal efficiency of the thermal power plant boiler at time T6; is the normalized value of the total power forecast of the user load at time T6; It is the normalized value of the predicted value of the total thermal storage energy state of the thermal power plant at time T6;

[0068] Step 6: Calculate the predicted value of the thermal power plant's thermal energy state data measurement accuracy related parameter index at time T6 using the normalized value of the predicted value of the thermal power plant's thermal energy state data measurement accuracy related parameter index Realize the prediction of the measurement accuracy index of electric and thermal energy status data of thermal power plants;

[0069] The calculation T m+1 Prediction value of the measurement accuracy index of thermal power plant electric and thermal energy status data at the moment The method is shown in formula (6):

[0070]

[0071] If the predicted value of the thermal power plant electric heat energy state data measurement accuracy index is obtained If the value is greater than or equal to 0.48, it is considered that the measurement accuracy of the electric and thermal energy state data of the thermal power plant at the next moment is sufficient. At this time, the number of energy state measurement sensors deployed in the boilers and turbines of the thermal power plant should be maintained. If the predicted value of the electric and thermal energy state data measurement accuracy index of the thermal power plant is obtained If it is less than 0.48, it is considered that the measurement accuracy of the electric and thermal energy status data of the thermal power plant at the next moment is reduced. At this time, the number of energy status measurement sensors deployed in the boilers and turbines of the thermal power plant should be increased.

[0072] In this embodiment, the predicted value of the thermal power plant electric heat energy state data measurement accuracy index at time T6 is calculated according to formula (6): for:

[0073]

[0074] If the predicted value of the thermal power plant electric heat energy state data measurement accuracy index is obtained If the value is greater than or equal to 0.48, it is considered that the measurement accuracy of the electric and thermal energy state data of the thermal power plant at the next moment is sufficient. At this time, the number of energy state measurement sensors deployed in the boilers and turbines of the thermal power plant should be maintained. If the predicted value of the electric and thermal energy state data measurement accuracy index of the thermal power plant is obtained If it is less than 0.48, it is considered that the measurement accuracy of the electric and thermal energy status data of the thermal power plant at the next moment is reduced. At this time, the number of energy status measurement sensors deployed in the boilers and turbines of the thermal power plant should be increased.

[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope defined by the claims of the present invention.

Claims

1. A method for predicting the accuracy index of electric and thermal energy state data measurement in a thermal power plant, characterized by: Step 1: Define the ESDI, the measurement accuracy index of the thermal power plant's electric and thermal energy status data tp , and according to ESDI tp The definition of determines the parameters related to the accuracy index of the electric and thermal energy status data measurement of thermal power plants; Step 2: Measure the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant, and establish a time series of the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant according to the obtained measurement values; Step 3: Calculate the influence factors of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data on the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data at the next moment Step 4: Calculate T according to the time series of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data and the influence factor of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data on the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy state data at the next moment. m+1 Predicted values ​​of parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy status data at the moment; Step 5: normalizing the predicted values ​​of the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant to obtain the normalized values ​​of the predicted values ​​of the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant; Step 6: Calculate T using the normalized values ​​of the predicted values ​​of the parameters related to the measurement accuracy of the thermal power plant's electric and thermal energy status data m+1 Prediction value of the measurement accuracy index of thermal power plant electric and thermal energy status data at the moment Realize the prediction of the measurement accuracy index of electric and thermal energy status data of thermal power plants.

2. A method for predicting the accuracy index of electric heat energy state data measurement in a thermal power plant according to claim 1, characterized in that: In the step 1), the thermal power plant electric heat energy state data measurement accuracy index ESDI tp As shown in formula (1): Among them, T1, T2, ..., T z ,...,T m is a fixed time interval of m moments, where m is a natural number, m∈1,2,…, z is the zth moment, and z is a natural number, z∈{1,2,…,m}; T z Total power of steam turbine generators in thermal power plants at the moment; T z Total electric heating power of thermal power plant at the moment; P TE,max For T1, T2, ..., T z ,...,T m The maximum value of the total power measurement value of the steam turbine generator in the thermal power plant during the m fixed time intervals; P EH,max For T1, T2, ..., T z ,...,T m The maximum value of the total electric heating power measured by the thermal power plant during these m fixed time intervals; T z Total power of combined heat and power generation units in thermal power plants at the moment; T z The heat production efficiency of the thermal power plant boiler at the moment; P EC,max For T1, T2, ..., T z ,...,T m The maximum value of the total power measurement value of the thermal power plant cogeneration unit in the m fixed time intervals; η BP,max For T1, T2, ..., T z ,...,T m The maximum value of the thermal efficiency measurement value of the thermal power plant boiler during these m fixed time intervals.

3. A method for predicting the accuracy index of electric heat energy state data measurement in a thermal power plant according to claim 1, characterized in that: In step 1, the parameters related to the accuracy of the measurement of the electric and thermal energy status data of the thermal power plant include: the total power of the steam turbine generator of the thermal power plant, the total electric heating power of the thermal power plant, the total power of the combined electric and thermal units of the thermal power plant, the heat production efficiency of the boiler of the thermal power plant, the total power of the user load, and the total load energy status of the thermal storage of the thermal power plant.

4. A method for predicting the accuracy index of electric and thermal energy state data measurement in a thermal power plant according to claim 1, characterized in that: In step 2, the method for measuring the parameters related to the measurement accuracy of the electric and thermal energy state data of the thermal power plant is: selecting m fixed time intervals T1, T2, ..., T z ,...,T m , the total power of the steam turbine generator in the thermal power plant is measured by measuring Measurement value of total electric heating power of thermal power plant The measured value of the total power of the combined heat and power generation units in a thermal power plant Measurement of thermal efficiency of boilers in thermal power plants Total power of user load Measurement of total energy state of thermal storage in thermal power plants 5. A method for predicting the accuracy index of electric and thermal energy state data measurement in a thermal power plant according to claim 4, characterized in that: In step 2, the time series of parameters related to the measurement accuracy of the thermal power plant electric heat energy state data is shown in formula (2):

6. A method for predicting the accuracy index of electric and thermal energy state data measurement in a thermal power plant according to claim 1, characterized in that: In the step 3, the calculation of the influence factor of the relevant parameters of the thermal power plant electric heat energy state data measurement accuracy on the relevant parameters of the thermal power plant electric heat energy state data measurement accuracy at the next moment As shown in formula (3): in, For the T z The influence factor of the relevant parameters of the thermal power plant's electric and thermal energy state data measurement accuracy at one moment on the relevant parameters of the thermal power plant's electric and thermal energy state data measurement accuracy at the next moment; P ET,min The total power of the steam turbine generator in the thermal power plant is T1, T2, ..., T z ,...,T m The minimum value of the measured values ​​at these m fixed time intervals; T z Total power of user load at the moment; P UL,min is the total power of user load at T1, T2, ..., T z ,...,T m The minimum value of the measured values ​​at these m fixed time intervals; T z The total heat storage load state of the thermal power plant at the moment; S TE,max The total energy state of thermal power plant heat storage is T1, T2, ..., T z ,...,T m The maximum value of the measured values ​​at these m fixed time intervals.

7. A method for predicting the accuracy index of electric and thermal energy state data measurement in a thermal power plant according to claim 1, characterized in that: In step 4, the predicted values ​​of the parameters related to the measurement accuracy of the thermal power plant electric and thermal energy state data are shown in formula (4): in, T m+1 The predicted value of the total power of the steam turbine generator of the thermal power plant at the moment; T m+1 The predicted value of the total electric heating power of the thermal power plant at the moment; T m+1 The predicted value of the total power of the thermal power plant's combined heat and power generation units at the moment; T m+1 The predicted value of the thermal efficiency of the thermal power plant boiler at the moment; T m+1 The predicted value of the total power of user load at the moment; T m+1 The predicted value of the total heat storage load state of the thermal power plant at the moment.

8. A method for predicting the accuracy index of electric and thermal energy state data measurement in a thermal power plant according to claim 1, characterized in that: In step 5, the normalization process is as shown in formula (5): in, T m+1 Normalized value of the total power forecast value of the steam turbine generator in the thermal power plant at the moment; T m+1 Normalized value of the predicted total electric heating power of the thermal power plant at the moment; T m+1 Normalized value of the total power forecast value of the thermal power plant's combined heat and power generation units at the moment; T m+1 The normalized value of the predicted value of the thermal efficiency of the thermal power plant boiler at the moment; T m+1 Normalized value of the total power forecast of user load at the moment; T m+1 The normalized value of the predicted value of the total thermal storage energy state of the thermal power plant at the moment; P TE,min For T1, T2, ..., T z ,...,T m The minimum value of the total electric heating power measured by the thermal power plant during these m fixed time intervals; P EH,min For T1, T2, ..., T z ,...,T m The minimum value of the total power measurement value of the thermal power plant cogeneration unit in these m fixed time intervals; η BP,min For T1, T2, ..., T z ,...,T m The minimum value of the measured heat production efficiency of the thermal power plant boiler in these m fixed time intervals; P UL,max For T1, T2, ..., T z ,...,T m The maximum value of the total power measurement value of the user load in these m fixed time intervals; S TE,min For T1, T2, ..., T z ,...,T m The minimum value of the total heat storage load state measurement value of the thermal power plant during these m fixed time intervals.

9. A method for predicting the accuracy index of electric and thermal energy state data measurement in a thermal power plant according to claim 1, characterized in that: In step 6, The calculation T m+1 Prediction value of the measurement accuracy index of thermal power plant electric and thermal energy status data at the moment The method is shown in formula (6): If the predicted value of the thermal power plant electric heat energy state data measurement accuracy index is obtained If the value is greater than or equal to 0.48, it is considered that the measurement accuracy of the electric and thermal energy state data of the thermal power plant at the next moment is sufficient. At this time, the number of energy state measurement sensors deployed in the boilers and turbines of the thermal power plant should be maintained. If the predicted value of the electric and thermal energy state data measurement accuracy index of the thermal power plant is obtained If it is less than 0.48, it is considered that the measurement accuracy of the electric and thermal energy status data of the thermal power plant at the next moment is reduced. At this time, the number of energy status measurement sensors deployed in the boilers and turbines of the thermal power plant should be increased.

Images