CN-121983954-A - Power control method and system for fused salt heat storage coal electric motor unit plant

CN121983954ACN 121983954 ACN121983954 ACN 121983954ACN-121983954-A

Abstract

The invention discloses a method and a system for controlling plant power consumption of a fused salt heat storage coal electric machine set, which relate to the technical field of automatic control and comprise the steps of collecting running state data of the machine set and power grid dispatching data in real time through monitoring equipment; the invention constructs an electricity data set and a thermodynamic data set by screening key parameters directly related to electricity operation control, combines dynamic changes of key thermodynamic parameters in corresponding time periods, constructs a transfer function model between plant electric power disturbance and thermodynamic parameters, analyzes transfer delay from power disturbance to thermodynamic parameter response through the transfer function model, obtains an inertia time constant of thermoelectric coupling, calculates response time reaching a new equilibrium state, and establishes a dynamic mapping relation between the inertia time constant and real-time working conditions of a unit, so that the inertia parameters can be automatically adjusted along with the working conditions, and realizes accurate matching of control targets and system states by combining power grid dispatching data and energy market information based on real-time operation data and updatable inertia characteristic parameter sets.

Inventors

ZHU XIANG
SUN PENG
WU XIANG
SHI ZHENDONG
XING WEI
SUN JINGGUO
LIU CHEN
ZHANG QINGLI
LI PENGFEI

Assignees

华润电力（菏泽）有限公司

Dates

Publication Date: 20260505
Application Date: 20251223

Claims (9)

1. The station service electricity control method of the molten salt heat storage coal motor group is characterized by comprising the following steps of: Firstly, collecting unit running state data and power grid dispatching data in real time through monitoring equipment, carrying out quality check and time sequence alignment treatment on the data, extracting key parameters related to power consumption running control parameters, and constructing a running control power consumption data set and a running thermal data set; step two, extracting typical working condition segments with obvious step change of plant electric power in the electricity utilization data set based on the electricity utilization data set and the operation thermodynamic data set, and constructing a transfer function model between plant electric power disturbance and thermodynamic parameter dynamic response by combining dynamic response characteristics of key thermodynamic parameters in corresponding time periods; Step three, carrying out transfer delay analysis based on a transfer function model to obtain a thermoelectric coupling inertia time constant of transfer delay, forming an initial dynamic inertia characteristic parameter set, calculating response time reaching a new equilibrium state by comparing an actual response curve with a standard inertia link curve, and establishing a dynamic mapping relation between the thermoelectric coupling inertia time constant and real-time working conditions of a unit to form an updatable inertia characteristic parameter set; Step four, according to real-time operation data and an updatable inertia characteristic parameter set, an operation state dynamic evaluation map is established, load response sensitivity and parameter stability margin are calculated, power grid dispatching data and energy market information are combined, and according to an operation mode and an adjustment target of an operation unit, an operation state characteristic and a target instruction set are generated; and fifthly, comparing the real-time measured power of the plant with an optimal target value to obtain a power difference value, and performing feedforward compensation on the power difference value based on the thermoelectric coupling inertia time constant to generate a cooperative control instruction set for a fused salt heat storage system regulating valve and a power high-voltage frequency converter of the plant.
2. The molten salt heat storage coal electric machine group station service electricity control method according to claim 1, wherein the construction of the operation control electricity data set and the operation thermal data set specifically comprises the following steps: S100, acquiring unit running state data and power grid dispatching data through monitoring equipment, wherein the unit running state data and the power grid dispatching data comprise active power of a generator, electric power of each electric station, main steam pressure and temperature, reheat steam temperature, turbine regulating stage pressure, water supply flow, condensate flow, fused salt heat storage and release power, temperatures of a high-temperature molten salt tank and a low-temperature molten salt tank, and receiving an automatic power generation control instruction, system frequency, a real-time node electricity price signal before the day and an ultra-short-term load prediction curve in real time; s101, determining key parameters closely related to power utilization operation control according to power utilization operation control targets and strategies of a unit by applying correlation analysis, and screening out key parameters strongly related to the power utilization control targets from aligned mass data; s102, the extracted key parameter data directly related to the power consumption operation control and the key parameter data related to the thermodynamic system of the unit are constructed to form an operation control power consumption data set and an operation thermodynamic data set.
3. The molten salt heat-storage coal electric machine group station service electricity control method according to claim 1, wherein typical working condition segments with significant step change of station service electric power in electricity data sets are extracted, and the specific extraction modes are as follows in combination with dynamic response characteristics of key thermal parameters in corresponding time periods: S200, a set absolute value of power change is combined with a certain proportion that the specified power change exceeds rated power to serve as a determination step change judgment standard, step change points are detected, when the difference value exceeds the set absolute value of the power change, the step change points are determined, the first-order difference reflects the change rate of the power, and the second-order difference reflects the change condition of the change rate; S201, expanding forwards and backwards by taking the identified step event point as the center, intercepting a data segment with a fixed time length long enough, and extracting a complete working condition segment containing a step change process from an electricity data set and a thermal data set; S202, constructing a dynamic response curve from the extracted working condition segments and key thermal parameters, comparing and displaying the plant power curve in the extracted typical working condition segments with the key thermal parameter curve in the same time axis, extracting dynamic response characteristics to establish an association relationship, combining the dynamic response characteristics of all segments into characteristic vectors, automatically classifying the segments with similar dynamic characteristics by using an unsupervised clustering method, and drawing a standard and average dynamic response curve map for one type of typical working condition segments.
4. The molten salt heat storage coal electric machine group station service electricity control method according to claim 1, wherein the construction of a transfer function model between station service electric power disturbance and thermodynamic parameter dynamic response is specifically as follows: S300, regarding step change quantity of plant power at moment as an input parameter and deviation of a key thermal parameter to steady state value of the key thermal parameter at moment as output response of the system for each typical segment; s301, presetting a transfer function model structure according to physical characteristics of a thermodynamic system and the shape of step response, and preliminarily estimating model parameters for data of each typical segment by using a system identification method; s302, establishing an objective function during initial design of model parameters, performing optimization fitting by adopting a numerical optimization algorithm, dividing data into a training set and a testing set, and verifying generalization capability of the model.
5. The molten salt heat storage coal electric machine group station service electricity control method according to claim 4, wherein the transfer delay analysis is performed based on a transfer function model to obtain a thermoelectric coupling inertia time constant of the transfer delay, and an initial dynamic inertia characteristic parameter set is formed, and specifically comprises the following steps: s400, carrying out normalization processing on the input parameters and the key thermal parameters based on the transfer function model, setting reasonable boundaries of the parameters by a standard unit system, and eliminating abnormal parameters beyond the boundaries; the transfer function model objective function is: ; Is the variable quantity of the electric power for the factories, K is gain coefficient, thermal-electric coupling inertia time constant, θ is pure delay time; s401, calculating the statistical characteristics of the total delay time, carrying out delay analysis based on the power load, dividing the unit load into a plurality of intervals, calculating the average value of the delay time in each load interval, analyzing the change rule of the delay time along with the load level, and if the delay time and the load are in a linear relation, adopting linear regression fitting to establish a time-load relation function; S402, performing double-exponential fitting on a dynamic response curve according to the established time-load relation function, separating thermal inertia response and electric inertia response, and calculating a thermoelectric coupling inertia time constant to form an initial dynamic inertia characteristic parameter set.
6. The method for controlling plant power of a molten salt heat storage coal electric machine set according to claim 4, wherein the response time for reaching a new equilibrium state is calculated by comparing an actual response curve with a standard inertia link curve, and the specific process is as follows: S500, according to the dynamic response curve as an actual response curve, and according to the delay response time, carrying out first-order inertial model analysis with delay to generate a theoretical response curve, normalizing steady state values of the two curves to the same magnitude, carrying out similarity evaluation, and judging the first-order inertial model; S501, performing response time calculation and inertia time constant calibration, including setting a steady state value and recording a time point when an actual response curve first enters the steady state value, and reversely pushing the inertia time constant according to the actual response time to obtain inertia time constant calibration; S502, selecting key parameters affecting thermoelectric coupling inertia, collecting actual inertia time constant calibration under multiple groups of working conditions and corresponding working condition parameters, constructing a data set, and dynamically mapping to form an updatable inertia characteristic parameter set.
7. The molten salt heat storage coal electric machine group station service electricity control method according to claim 1, wherein the method is characterized by establishing an operation state dynamic evaluation map, and calculating load response sensitivity and parameter stability margin, and comprises the following specific processes: s600, according to real-time operation data and an updatable inertial characteristic parameter set, carrying out state space division, taking load, main steam temperature and ambient temperature as coordinate axes, constructing a three-dimensional state space, dividing each dimension into sections, forming a discretized state grid, and displaying state space distribution by adopting a thermodynamic diagram or a three-dimensional curved surface diagram; s601, identifying a load step event in real-time data, extracting steady state values of thermal parameters before and after the step, defining load response sensitivity as dynamic deviation of the thermal parameters caused by unit load change, and mapping the dynamic deviation to corresponding state grids in an evaluation map; s602, counting a distribution range interval under a history working condition based on an updatable inertia parameter set, and calculating the relative distance between a real-time inertia parameter and the boundary as a parameter boundary, wherein if the inertia parameter exceeds the boundary, the system is unstable.
8. The molten salt heat storage coal electric machine group station service electricity control method according to claim 1, wherein the method is characterized in that according to the operation mode and the adjustment target of an operation machine group, an operation state characteristic and a target instruction set are generated, and the specific process is as follows: S700, judging through a threshold value according to a preset mode, identifying the operation mode of the operation unit, extracting operation state characteristics aiming at different operation modes, extracting dynamic and static characteristics, and obtaining steady-state mode characteristics, load mode characteristics and fault mode characteristics; S701, defining a multi-level adjustment target and prioritizing according to the operation mode and the current state of the unit, and converting the adjustment target into an executable instruction set.
9. A fused salt heat storage coal electric machine group station service electricity control system, which is used for the fused salt heat storage coal electric machine group station service electricity control method according to any one of claims 1-8, and is characterized by comprising the following modules: The data acquisition module is used for acquiring unit running state data and power grid dispatching data in real time through monitoring equipment, carrying out quality check and time sequence alignment processing on the data, extracting key parameters related to power consumption running control parameters, and constructing a running control power consumption data set and a running thermal data set; The response analysis module is used for extracting typical working condition fragments with obvious step change of plant electric power in the electric data set based on the electric data set and the operation thermodynamic data set, and constructing a transfer function model between plant electric power disturbance and thermodynamic parameter dynamic response by combining dynamic response characteristics of key thermodynamic parameters in corresponding time periods; The model construction module is used for carrying out transfer delay analysis based on a transfer function model to obtain a thermoelectric coupling inertia time constant of transfer delay, forming an initial dynamic inertia characteristic parameter set, calculating response time reaching a new balance state by comparing an actual response curve with a standard inertia link curve, and establishing a dynamic mapping relation between the thermoelectric coupling inertia time constant and a real-time working condition of the unit to form an updatable inertia characteristic parameter set; The decision analysis module is used for establishing an operation state dynamic evaluation map according to the real-time operation data and the updatable inertia characteristic parameter set, calculating load response sensitivity and parameter stability margin, combining power grid dispatching data and energy market information, and generating an operation state characteristic and a target instruction set according to an operation mode and an adjustment target of an operation unit; And the execution feedback module is used for comparing the real-time measured station electric power with an optimal target value to obtain a power difference value, and performing feedforward compensation on the power difference value based on the thermoelectric coupling inertia time constant to generate a cooperative control instruction set for the molten salt heat storage system regulating valve and the station electric high-voltage frequency converter.

Description

Power control method and system for fused salt heat storage coal electric motor unit plant Technical Field The invention relates to the technical field of intelligent control systems, in particular to a station service electricity control method and system for a molten salt heat storage coal motor group. Background The molten salt heat storage coal motor group stores redundant heat generated by a boiler in molten salt, when electricity consumption peak or unit power generation is limited, the heat in the molten salt is released for power generation, the peak regulation capacity and the energy utilization efficiency of the unit are effectively improved, and factory electricity is used as an important component in the running process of the coal motor group, so that stable and efficient control is important for the overall performance and safety of the unit. The station service electricity not only provides power for various auxiliary equipment of the unit, but also can directly influence the stability of the generated power due to the fluctuation of the power. Particularly, in the coal motor group coupled with the fused salt heat storage system, a complex coupling relation exists between station service electricity, power generation and fused salt heat storage/release processes. In the prior art, the control concept of the traditional unit is used for plant power control of the fused salt heat storage coal motor unit, and obvious limitations exist, and the following aspects are mainly embodied: In the existing electric control technology of the coal motor unit, strong coupling and inertial dynamic correlation between electric dynamic disturbance of the plant and key parameters of a thermodynamic system are lacked, and complex coupling relations which are introduced by a fused salt heat storage system are difficult to accurately describe, when electric power of the plant changes, because the electric power of the coal motor unit has large thermal inertia, response of key parameters such as main steam pressure and the like has delay and overshoot phenomena, the influence cannot be effectively quantified in the prior art, so that in the electric regulation process of the plant, the interference on the stability of the generated power is difficult to avoid, so that the electric regulation and the generated power control of the plant are mutually stopped, and the integral operation efficiency and the stability of the unit are influenced; In view of the above technical drawbacks, a solution is now proposed. Disclosure of Invention The invention aims to construct a transfer function model between plant electric power disturbance and thermal parameters, analyze transfer delay from the power disturbance to thermal parameter response through the transfer function model, obtain an inertial time constant of thermoelectric coupling, calculate response time of a new equilibrium state of a system by comparing an actual response curve with a standard inertial link curve, and establish a dynamic mapping relation between the inertial time constant and real-time working conditions of a unit, so that the inertial parameters can be automatically adjusted along with the working conditions, control adaptability is improved, and pre-control of plant power of a fused salt heat storage coal motor unit is performed. In order to achieve the purpose, the invention adopts the following technical scheme that the station service electricity control method of the molten salt heat storage coal motor group is characterized by comprising the following steps: Firstly, collecting unit running state data and power grid dispatching data in real time through monitoring equipment, carrying out quality check and time sequence alignment treatment on the data, extracting key parameters related to power consumption running control parameters, and constructing a running control power consumption data set and a running thermal data set; step two, extracting typical working condition segments with obvious step change of plant electric power in the electricity utilization data set based on the electricity utilization data set and the operation thermodynamic data set, and constructing a transfer function model between plant electric power disturbance and thermodynamic parameter dynamic response by combining dynamic response characteristics of key thermodynamic parameters in corresponding time periods; Step three, carrying out transfer delay analysis based on a transfer function model to obtain a thermoelectric coupling inertia time constant of transfer delay, forming an initial dynamic inertia characteristic parameter set, calculating response time reaching a new equilibrium state by comparing an actual response curve with a standard inertia link curve, and establishing a dynamic mapping relation between the thermoelectric coupling inertia time constant and real-time working conditions of a unit to form an updatable inertia characteristic parameter set; Step