CN112051810A - Multi-energy distribution and scheduling system of heat supply unit - Google Patents

Multi-energy distribution and scheduling system of heat supply unit Download PDF

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CN112051810A
CN112051810A CN202010778298.4A CN202010778298A CN112051810A CN 112051810 A CN112051810 A CN 112051810A CN 202010778298 A CN202010778298 A CN 202010778298A CN 112051810 A CN112051810 A CN 112051810A
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load
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李庚达
曾德良
刘淼
陈保卫
崔青汝
冯树臣
陶志刚
王昕�
高满达
张婷
胡勇
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Guodian New Energy Technology Research Institute Co ltd
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Abstract

The invention belongs to the field of thermal control of thermal power generating units, and provides a multi-energy distribution and scheduling system of a heat supply unit, which comprises: the load instruction optimizing and distributing module is used for decomposing and reconstructing the unit load instruction to generate a boiler energy storage cooperative control instruction and a heat supply network energy storage cooperative control instruction; the distributed energy cooperative control module is used for performing boiler energy storage cooperative control, heat supply network energy storage cooperative control and heat storage tank energy storage cooperative control; and the multi-energy online evaluation module is used for evaluating the heat load of the heat supply network according to the available load increment of the forward and reverse throttling of the heat supply extraction steam and evaluating the virtual heat load of the heat storage tank according to the operation parameters of the heat storage tank. The heat supply unit is regarded as an energy conversion system integrating boiler energy storage, heat supply network energy storage and heat storage tank energy storage, the heat supply network energy storage is deeply excavated and utilized, and the flexible operation capacity of the heat supply unit is further improved while the heat supply quality of the heat supply network is ensured.

Description

Multi-energy distribution and scheduling system of heat supply unit
Technical Field
The invention relates to the field of thermal control of thermal power generating units, in particular to a multi-energy distribution and scheduling system of a heat supply unit.
Background
The large-scale consumption of new energy power becomes a main problem facing power systems. In the traditional sense, the thermal power generating unit has certain flexible operation capacity, but in the large environment of a new energy power system, the flexible operation capacity of the thermal power generating unit does not reach the actual requirement in the face of the existing power grid dispatching mode. For a heat supply unit, the heat supply unit is a multi-energy conversion system integrating multiple energy forms, although from the static point of view, the input end of the heat supply unit is fuel quantity, water supply flow and air supply quantity, and the output end of the heat supply unit is electric load and heat load; however, from the dynamic perspective, the boiler system, the heat recovery system, the heat supply network system, the heat storage tank system and the like of the heat supply unit also store energy with different degrees and grades.
Under the condition that indexes such as main steam pressure and the like are not strictly checked, a boiler energy storage cooperative control mode of quickly operating a main throttle valve is a main means for improving the flexible operation capacity of a unit in a power plant at the present stage, but the energy storage utilization mode needs to be matched with proper boiler overfire adjustment, and the control quality of intermediate parameters such as the main steam pressure and the like is sacrificed as a premise, so that the coal consumption of the unit is high, and meanwhile, the unit can deviate from the rated working condition for long-term operation and also can influence the service life of unit equipment; on the other hand, under the condition that heat supply companies do not have strict examination, the heat supply network energy storage cooperative control is not lost as an effective unit quick load changing means, but at present when the energy concept is emphasized, the improvement of the quick load changing capacity of the heat supply unit through the heat supply network energy storage cooperative control is not a long-term measure.
However, it is a goal pursued by those skilled in the art how to further increase the flexible operation capability of the heating unit.
Disclosure of Invention
The invention provides a multi-energy distribution and scheduling system of a heat supply unit, aiming at improving the flexible operation capacity of the heat supply unit.
In order to achieve the purpose, the scheme of the invention is as follows:
a multi-energy distribution and scheduling system of a heating unit comprises:
the load instruction optimizing and distributing module is used for decomposing and reconstructing the load instruction of the unit and generating a boiler energy storage cooperative control instruction comprising a slow load instruction signal and a heat supply network energy storage cooperative control instruction comprising a fast load instruction signal;
the distributed energy source cooperative control module comprises a boiler energy storage cooperative control module, a heat supply network energy storage cooperative control module and a heat storage tank energy storage cooperative control module;
the boiler energy storage cooperative control module is used for utilizing and supplementing boiler energy storage according to the received boiler energy storage cooperative control instruction and controlling the variable load rate of the unit;
the heat supply network energy storage cooperative control module is used for switching between the heat supply steam extraction throttling load adjusting loop and the heat supply network water supply temperature adjusting loop according to the heat supply network energy storage cooperative control instruction so as to realize the tracking and control of the heat supply steam extraction throttling load and the heat supply network water supply temperature;
the heat storage tank energy storage cooperative control module is used for switching between a heat storage and storage power regulating circuit and a heat supply network water supply temperature regulating circuit according to the heat supply network energy storage cooperative control instruction so as to realize the tracking and control of the heat storage and storage power of the heat storage tank and the heat supply network water supply temperature;
the multi-energy online evaluation module comprises a heat storage tank energy storage evaluation module and a heat supply network energy storage evaluation module;
the heat supply network energy storage evaluation module is used for calculating available load increment of forward throttling and backward throttling of heat supply extraction steam according to unit operation parameters and evaluating heat supply network heat load according to the available load increment;
and the heat storage tank energy storage evaluation module is used for evaluating the virtual heat load of the heat storage tank according to the operation parameters of the heat storage tank.
Preferably, the unit load instruction comprises a power grid AGC instruction and a primary frequency modulation instruction;
the load instruction optimizing and distributing module comprises a signal processing unit, wherein the signal processing unit is used for carrying out multi-layer decomposition processing on the unit load instruction and comprises the following components:
utilizing signal processing link N (x) to process signal x in unit load instruction0(s) carrying out n times of decomposition, wherein the decomposition result is a formula (1);
Figure BDA0002619286870000031
wherein x isi(s)＝[1-Ni(x)]xi-1(s)，xci(s)＝Ni(x)xi-1(s)。
The signal processing unit is also used for carrying out speed-limiting processing on the decomposed signals, and comprises:
constructing a sequence of rate limiting values R1,R2,......RnAnd the first order limit valueR1Speed limit value R to nth ordernGradually increasing, the load instruction of the unit passes through the first-stage speed limit value R1Signal x obtained after processingc1(s) is a slow load command signal, the unit load command signal x is removedc1Part of(s) passing through the second-order limiting value R2Signal x obtained after processingc2(s) is a fast load command signal;
preferably, the load instruction optimizing and distributing module further comprises an instruction reconstructing unit, which is used for processing the slow load instruction signal and a load pre-adjusting instruction constructed by using the slow load instruction signal into a boiler energy storage cooperative control instruction, wherein the load pre-adjusting instruction is used for enabling the unit to quickly cross out of a load adjusting dead zone in a variable load starting stage;
and the instruction reconstruction unit is also used for carrying out amplitude limiting processing on the fast load instruction signal according to an amplitude limiting value K so as to obtain a heat supply network energy storage cooperative control instruction.
Preferably, the load instruction optimization and distribution module further comprises a parameter optimization module for optimizing the first-order speed limit value R1Second-order speed limit value R2And a clipping value K, comprising:
comprehensive performance index K adjusted by unit AGC variable loadpThe main steam pressure average IAE index, the heat supply network water supply temperature average IAE index and the coal supply overshoot index are weighted and added as a fitness function, iterative cross operation and variation operation are carried out according to a genetic algorithm, and a first-order speed limit value R is output until the fitness reaches a desired value or the iteration frequency reaches a maximum value1Second-order speed limit value R2And an optimum value of the clipping value K.
Preferably, the boiler energy storage cooperative control module comprises a static feedforward module, a dynamic feedforward module and a prediction controller;
the static feedforward module is used for carrying out reference positioning on the coal feeding amount of the boiler according to an actual load instruction to form static feedforward of the coal feeding amount;
the dynamic feedforward module is used for calculating the pre-coal feeding amount according to the input AGC instruction, the actual load instruction and the heat supply steam extraction throttling load instruction, and forming a coal feeding amount total feedforward after the pre-coal feeding amount is superposed with the coal feeding amount static feedforward;
the prediction controller comprises a model prediction module, a set value softening module and a rolling optimization module;
the model prediction module is used for predicting and outputting the variable quantity of the main steam pressure in real time by combining the static feed forward of the coal feeding quantity, the opening of the main steam valve and the opening of the high bypass valve on the basis of the feedback correction of the main steam pressure;
the set value softening module is used for softening the natural sliding pressure set value according to the softening factor and the main steam pressure feedback value and outputting the main steam pressure set value;
the rolling optimization module is used for performing rolling optimization on a difference vector between the main steam pressure variable quantity and the main steam pressure set value and outputting a predicted coal feeding quantity;
and superposing the total feed forward of the coal feeding amount and the predicted coal feeding amount to obtain a final coal feeding amount signal.
Preferably, the heat supply network energy storage cooperative control module is used for receiving a heat supply network energy storage cooperative control input signal, a heat supply network water supply temperature setting instruction and a heat supply network energy storage cooperative control instruction;
when the unit is in a variable load process, the heat supply network energy storage cooperative control module is switched to a heat supply steam extraction throttling load adjusting loop, and at the moment, the heat supply network water supply temperature adjusting loop is in a tracking state;
when the unit enters a steady state, the heat supply network energy storage cooperative control module is switched to the heat supply network water supply temperature adjusting loop, and at the moment, the heat supply steam extraction throttling load adjusting loop is in a tracking state.
Preferably, the heat storage tank energy storage cooperative control module is used for receiving a heat supply network energy storage cooperative control input signal and a heat supply network water supply temperature setting instruction;
when the unit is in a variable load process, the heat storage tank energy storage cooperative control module is switched to a heat supply network water supply temperature adjusting circuit, and at the moment, the heat storage and discharge power adjusting circuit is in a tracking state;
when the unit enters a steady state, the heat storage tank energy storage cooperative control module is switched to the heat storage and discharge power regulating circuit, and the heat supply network water supply temperature regulating circuit is in a tracking state at the moment.
Preferably, the calculating of the available load increment of the forward throttling and the reverse throttling of the heating steam extraction according to the unit operation parameters comprises:
calculating available load increment of positive throttling of heat supply extraction steam according to formula (2)
Figure BDA0002619286870000051
Figure BDA0002619286870000052
Wherein D ishThe actual steam inlet flow of the heat supply network heater is represented by t/h;
Figure BDA0002619286870000053
the minimum steam inlet flow of the heater of the heat supply network is MW;
calculating available load increment for reverse throttling of heat supply steam extraction according to formula (3)
Figure BDA0002619286870000054
Figure BDA0002619286870000055
Wherein the content of the first and second substances,
Figure BDA0002619286870000056
the actual steam inlet flow of the low-pressure cylinder is represented by t/h;
Figure BDA0002619286870000057
is the minimum cooling flow of the low pressure cylinder and has the unit of MW.
Preferably, the evaluating the virtual heat load of the thermal storage tank according to the operating parameter of the thermal storage tank comprises:
calculating the energy storage of the heat storage tank according to the formula (4)Forward available load delta
Figure BDA0002619286870000058
Figure BDA0002619286870000059
Calculating the reverse available load increment of the energy storage of the heat storage tank according to the formula (5)
Figure BDA00026192868700000510
Figure BDA00026192868700000511
Wherein, cpThe specific heat capacity at constant pressure of water is expressed in kJ/(kg. ℃);
Dsthe unit is t/h, which is the actual heat storage flow;
Ththe temperature of hot water in the heat storage tank is measured in units of temperature;
Tlthe temperature of cold water in the heat storage tank is shown in unit;
hmthe unit is kJ/kg of exhaust enthalpy of the intermediate pressure cylinder;
hcis the hydrophobic enthalpy of the heating network heater and has the unit of kJ/kg.
In the scheme of the invention, the heat supply unit is regarded as an energy conversion system integrating multiple energy forms such as boiler energy storage, heat supply network energy storage, heat storage tank energy storage and the like, and the heat supply network energy storage is deeply excavated and utilized by the multi-energy distribution and dispatching system, so that the heat supply quality of the heat supply network is ensured, and the flexible operation capacity of the heat supply unit is further improved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a schematic diagram of a multi-energy distribution and dispatch system;
FIG. 2 is a logic block diagram of boiler energy storage coordinated control commands;
FIG. 3 is a logic block diagram of a thermal network energy storage coordinated control command;
FIG. 4 is a flow chart of the calculation of the optimizing module;
FIG. 5 is a logic block diagram of main steam pressure control;
fig. 6 is a heat storage/release flow chart of the thermal storage tank;
FIG. 7 is a logic block diagram of a thermal storage tank energy storage cooperative control;
fig. 8 is a schematic diagram of a thermal storage tank energy storage assessment.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
The invention provides a multi-energy distribution and scheduling system of a heat supply unit, which comprises an upper-layer load instruction optimization and distribution module, a distributed energy cooperative control module for bearing a lower-layer specific control task and a multi-energy online evaluation module for bearing an energy storage state detection task, as shown in figures 1 to 3.
And the load instruction optimizing and distributing module is used for decomposing and reconstructing the load instruction of the unit and generating a boiler energy storage cooperative control instruction comprising a slow load instruction signal and a heat supply network energy storage cooperative control instruction comprising a fast load instruction signal.
In the scheme of the invention, the load instruction optimizing and distributing module processes and optimizes and distributes the load instructions of the unit by receiving the automatic generation control AGC instruction and the primary frequency modulation instruction of the power grid and also receiving the evaluation results of the energy storage of the heat storage tank and the energy storage of the heat supply network. The load instruction processing process is to decompose the electric load instruction into a slow load instruction responded by the boiler energy storage cooperative control system and a fast load instruction responded by the heat supply network energy storage cooperative control system through signal multi-scale decomposition.
The distributed energy cooperative control module comprises a boiler energy storage cooperative control module, a heat supply network energy storage cooperative control module and a heat storage tank energy storage cooperative control module.
The boiler energy storage cooperative control module is used for utilizing and supplementing boiler energy storage according to the received boiler energy storage cooperative control instruction and controlling the variable load rate of the unit.
The heat supply network energy storage cooperative control module comprises a heat supply steam extraction throttling load adjusting loop and a heat supply network water supply temperature adjusting loop and is used for switching between the heat supply steam extraction throttling load adjusting loop and the heat supply network water supply temperature adjusting loop according to the heat supply network energy storage cooperative control instruction so as to realize tracking and control of the heat supply steam extraction throttling load and the heat supply network water supply temperature.
The heat storage tank energy storage cooperative control module comprises a heat storage power adjusting circuit and a heat supply network water supply temperature adjusting circuit, and is used for switching between the heat storage power adjusting circuit and the heat supply network water supply temperature adjusting circuit according to heat supply network energy storage cooperative input signals so as to realize tracking and control of heat storage power of the heat storage tank and water supply temperature of the heat supply network.
The multi-energy online evaluation module comprises a heat storage tank energy storage evaluation module and a heat supply network energy storage evaluation module.
The heat supply network energy storage evaluation module is used for calculating available load increment of forward throttling and reverse throttling of heat supply extraction steam according to unit operation parameters and evaluating heat supply network heat load according to the available load increment.
And the heat storage tank energy storage evaluation module is used for evaluating the virtual heat load of the heat storage tank according to the operation parameters of the heat storage tank.
Further, the unit load instruction comprises a power grid AGC instruction and a primary frequency modulation instruction. Normally, the AGC command and the primary frequency modulation command from the power grid are step-shaped, and the amplitude and the direction of the step-shaped AGC command and the primary frequency modulation command are obtained by the power grid energy management system according to the power grid electric load supply and demand balance calculation. In the invention, because the characteristics of boiler energy storage, heat supply network energy storage and heat storage tank energy storage are different, and the response rate and duration are also different, different rate limits are selected to carry out multilayer decomposition and correction on the load instruction of the unit, so as to obtain the load instruction suitable for boiler energy storage cooperative control and heat supply network energy storage cooperative control, which is the core of multi-energy cooperative scheduling.
The load instruction optimizing and distributing module comprises a signal processing unit and an instruction reconstruction unit.
The signal processing unit is used for carrying out multi-layer decomposition processing on the unit load instruction.
The instruction decomposition steps are as follows:
utilizing signal processing link N (x) to process signal x in unit load instruction0(s) decomposing n times;
first, the signal x is divided0(s) decomposition to x0(s)＝N1(x)x0(s)+[1-N1(x)]x0(s)；
Then let x1(s)＝[1-N1(x)]x0(s)，xc1(s)＝N1(x)x0(s) for x1(s) continuing the decomposition with a decomposition result of x1(s)＝N2(x)x1(s)+[1-N2(x)]x1(s)；
Let x again2(s)＝[1-N2(x)]x1(s)，xc2(s)＝N2(x)x1(s) for x2(s) continuing the decomposition;
analogizing in turn, x in the decomposition processi(s)＝[1-Ni(x)]xi-1(s)，xci(s)＝Ni(x)xi-1(s)；
Finally, the signal x0(s) is decomposed into formula (1);
Figure BDA0002619286870000081
the signal processing unit is also used for carrying out speed-limiting processing on the decomposed signals, and the method comprises the following steps:
constructing a sequence of rate limiting values R1,R2,......RnAnd the first order limit value R1Speed limit value R to nth ordernGradually increasing, the load instruction of the unit passes through the first-stage speed limit value R1Signal x obtained after processingc1(s) is a slow load command signal, the unit load command signal x is removedc1Part of(s) passing through the second-order limiting value R2Signal x obtained after processingc2(s) is a fast load command signal.
Further, the load instruction optimizing and distributing module further comprises an instruction reconstructing unit, and the instruction reconstructing unit is used for processing the slow load instruction signal and a load pre-adjusting instruction constructed by using the slow load instruction signal into a boiler energy storage cooperative control instruction, wherein the load pre-adjusting instruction is used for enabling the unit to rapidly cross a load adjusting dead zone in a variable load starting stage.
And the instruction reconstruction unit is also used for carrying out amplitude limiting processing on the fast load instruction signal according to the amplitude limiting value K to obtain a heat supply network energy storage cooperative control instruction. The amplitude limiting value K is calculated on line according to available load increment of heat supply extraction steam forward and reverse throttling of heat supply network energy storage and available load increment of heat storage tank energy storage forward.
The method comprises the steps that a slow load instruction which is actually issued to a boiler energy storage cooperative control module is subjected to compromise on a unit variable load rate and main steam pressure deviation, and a load pre-regulation instruction which rapidly crosses a regulation dead zone is constructed at the variable load initial stage, so that the unit can rapidly cross the load regulation dead zone at the variable load initial stage, and the purpose of setting a rotating speed dead zone is to eliminate unit load fluctuation and regulation system shaking caused by unstable rotating speed. In the process of changing the load, the load changing rate of the unit is corrected in time according to the change condition of the deviation of the main steam pressure, so that the unit can utilize and supplement the boiler energy storage in time in the process of changing the load.
In order to obtain the optimal load instruction processing and distribution result, the invention also optimizes the key parameters in the signal multi-scale decomposition. As shown in FIG. 4, the load instruction optimization and distribution module further includes a parameter optimization module for optimizing the first-order speed limit signal R1The second-order speed limiting signal R2And optimizing the clipping value K, the method comprising:
taking the weighted sum of the comprehensive performance index of unit AGC variable load regulation, the main steam pressure average IAE index, the heat supply network water supply temperature average IAE index and the coal supply overshoot index as a fitness function, carrying out iterative cross operation and variation operation according to a genetic algorithm, and outputting a first-order speed limit value R until the fitness reaches a desired value or the iteration times reach a maximum value1Second-order speed limit value R2And an optimum value of the clipping value K. Wherein, IAE is an absolute error integral index.
Specifically, the fitness function is constructed as:
Figure BDA0002619286870000101
Figure BDA0002619286870000102
Figure BDA0002619286870000103
wherein, KpThe method comprises the following steps of (1) obtaining comprehensive performance indexes related to two detailed rules of the power system;
Figure BDA0002619286870000104
is an index of the main steam pressure IAE,
Figure BDA0002619286870000105
is the main steam pressure average IAE index;
Figure BDA0002619286870000106
the temperature IAE index of the water supply for the heat supply network,
Figure BDA0002619286870000107
the average IAE index of the water supply temperature of the heat supply network is obtained;
Figure BDA0002619286870000108
the coal feeding quantity is an overshoot index;
delta t is the statistical time of the IAE index;
W1、W2、W3、W4the weight of the comprehensive performance index, the average IAE index of the main steam pressure, the average IAE index of the water supply temperature of the heat supply network and the weight of the coal supply overshoot index are respectively.
In the scheme of the invention, the fitness function obtains the weighted sum of two fine indexes of a power grid, a heat supply performance index and a unit stability index, the constraint condition obtains the high and low limits of the unit electrical load response rate, the high and low limits of the heat grid electrical load response rate and the high and low limits of the heat grid electrical load response capacity, an optimization algorithm adopts artificial intelligence algorithms such as a genetic algorithm, a particle swarm algorithm and the like to optimize key parameters in signal multi-scale decomposition to obtain a first-order speed limit value R1Second-order speed limit value R2And an optimum value of the clipping value K.
Further, as shown in FIG. 5, the boiler energy storage cooperative control module includes a static feedforward module, a dynamic feedforward module, and a predictive controller.
And the static feedforward module is used for performing reference positioning on the coal feeding amount of the boiler according to the actual load instruction to form static feedforward of the coal feeding amount.
And the dynamic feedforward module is used for calculating the pre-coal feeding amount according to the input AGC instruction, the actual load instruction and the heat supply steam extraction throttling load instruction, and forming a coal feeding amount total feedforward after the pre-coal feeding amount is superposed with the coal feeding amount static feedforward.
The predictive controller includes a model prediction module, a setpoint softening module, and a roll optimization module.
The model prediction module is used for predicting and outputting the main steam pressure variable quantity in real time by combining the static feed forward of the coal feeding quantity, the opening of the main steam valve and the opening of the high bypass valve on the basis of the feedback correction of the main steam pressure.
And the set value softening module is used for softening the natural sliding pressure set value according to the softening factor and the main steam pressure feedback value and outputting the main steam pressure set value.
And the rolling optimization module is used for performing rolling optimization on the difference vector between the main steam pressure variable quantity and the main steam pressure set value to obtain an optimal control law and outputting a predicted coal feeding quantity.
And superposing the total feed forward of the coal feeding amount and the predicted coal feeding amount to obtain a final coal feeding amount signal.
For a boiler energy storage cooperative control module, because the response rate from the opening degree of a main throttle valve to the load of a unit is high, the traditional PID control mode can meet the basic requirement of the load control of the unit, and the control is usually independent of a DEH system, so the load control of the unit does not need to be specially adjusted.
Compared with a boiler energy storage cooperative control module, the largest change of the heat supply network energy storage cooperative control module is unit load control, and after the heat supply network energy storage cooperative control is considered, the unit load control is jointly completed by unit self load control and heat supply steam extraction throttling load control. Compared with the conventional unit load control, under the heat supply network energy storage cooperative control mode, the feedback part of the unit power needs to remove the load feedback quantity corresponding to the heat supply steam extraction throttling, so that the problem that the control system mistakenly considers that all the load feedback quantities are caused by the change of the opening degree of the main throttle valve, and further the main throttle valve does not act or mistakenly acts in the opposite direction is avoided.
According to the invention, the heat supply network energy storage cooperative control module comprises a heat supply extraction throttling load adjusting loop and a heat supply network water supply temperature adjusting loop, and tracking, control and undisturbed switching of the heat supply extraction throttling load and the heat supply network water supply temperature are realized by receiving a heat supply network energy storage cooperative control input signal, a heat supply network water supply temperature setting instruction and a heat supply network energy storage cooperative control instruction.
When the unit is in a variable load process, the heat supply network energy storage cooperative control module is switched to a heat supply steam extraction throttling load adjusting loop, and at the moment, the heat supply network water supply temperature adjusting loop is in a tracking state.
When the unit enters a steady state, the heat supply network energy storage cooperative control module is switched to the heat supply network water supply temperature adjusting loop, and at the moment, the heat supply steam extraction throttling load adjusting loop is in a tracking state.
Furthermore, the heat storage tank energy storage cooperative control module comprises a heat storage and discharge power regulating circuit and a heat supply network water supply temperature regulating circuit, and tracking, control and undisturbed switching of the heat storage and discharge power of the heat storage tank and the heat supply network water supply temperature are realized by receiving a heat supply network energy storage cooperative control input signal and a heat supply network water supply temperature setting instruction.
When the unit is in a variable load process, the heat storage tank energy storage cooperative control module is switched to a heat supply network water supply temperature adjusting circuit, and at the moment, the heat storage and discharge power adjusting circuit is in a tracking state;
when the unit enters a steady state, the heat storage tank energy storage cooperative control module is switched to the heat storage and discharge power regulating circuit, and the heat supply network water supply temperature regulating circuit is in a tracking state at the moment.
Fig. 6 is a schematic diagram of a heat storage tank storage/release flow. In the heat storage stage: the valves 1, 2 and 3 are opened, and hot water flows into the heat storage tank from the first station of the heat supply network; valves 6, 7, 9 and 10 are opened, and cold water flows into the heat pump unit from the heat storage tank; the valves 4, 5, 8 are closed. In the exothermic phase: the valves 3, 4, 5 and 1 are opened, and hot water flows into the water supply main pipe from the heat storage tank; the valves 10, 8 and 6 are opened, and cold water flows into the heat storage tank from the water return main pipe; valves 2, 7, 9 are closed. In the stop phase: and (4) closing all the valves 1-10, and stopping the pump type 3.
Among the above valves, the valves 2 and 8 are valves, and the other valves are electric valves. The pump types 1, 2 and 3 are all variable frequency pumps. Wherein, the pump type 1 is a water supply pump at the first station of a heat supply network; the pump type 2 is a water supply pump of a heat pump unit; the pump type 3 is a heat storage tank circulation water pump.
As shown in fig. 7, which is a logic block diagram of the cooperative energy storage control of the heat storage tank, in a conventional sense, the frequency of the pump type 3 is used for adjusting the heat storage and release power of the heat storage tank, and the opening degrees of the valve 2 and the valve 8 are used for adjusting the liquid level of the heat storage tank; in the heat storage tank energy storage cooperative control mode, the pump type 3 needs to undertake double tasks of storage, heat release power control and heat supply network water supply temperature control, when the heat supply network energy storage cooperative control input signal is triggered, the switching module switches the control loop to the heat supply network water supply temperature regulation mode, and under the condition, the introduction of the heat storage tank energy storage can relieve the adverse effect of the heat supply network energy storage cooperative control on the heat supply network water supply temperature; when the unit enters a normal steady state operation mode, the switching module switches the control loop back to the storage and heat release power regulation mode to complete the normal storage and heat release process control of the heat storage tank.
Further, in the heat supply network energy storage evaluation module, when the liquid level regulating valve is fully opened under a rated working condition, the steam inlet flow of the heat supply network heater is the minimum steam inlet flow, the steam inlet flow of the heat supply network heater is the available steam flow of the forward throttling by subtracting the minimum steam inlet flow from the actual steam inlet flow of the heat supply network heater, and the available steam flow of the forward throttling is substituted into the fitting equation of the work increment in the low-pressure cylinder, so that the corresponding available load increment of the heat supply steam extraction forward throttling can be obtained.
The method for calculating available load increment of forward throttling and reverse throttling of heat supply extraction steam according to unit operation parameters comprises the following steps:
calculating available load increment of positive throttling of heat supply extraction steam according to formula (2)
Figure BDA0002619286870000131
Figure BDA0002619286870000132
Wherein D ishThe actual steam inlet flow of the heat supply network heater is represented by t/h;
Figure BDA0002619286870000133
the minimum steam inlet flow of the heater of the heat supply network is MW;
when the heat supply extraction steam throttling is in reverse throttling, the available steam flow is limited by the minimum cooling flow of the low-pressure cylinder, the available steam flow of the reverse throttling is obtained by subtracting the minimum cooling flow from the actual steam inlet flow of the low-pressure cylinder, and the available steam flow of the reverse throttling is substituted into the work increment fitting equation in the low-pressure cylinder to obtain the corresponding available load increment of the reverse throttling.
Calculating the available load of the reverse throttling of the heat supply extraction steam according to the formula (3)Increment of
Figure BDA0002619286870000134
Figure BDA0002619286870000135
Wherein the content of the first and second substances,
Figure BDA0002619286870000136
the actual steam inlet flow of the low-pressure cylinder is represented by t/h;
Figure BDA0002619286870000137
is the minimum cooling flow of the low pressure cylinder and has the unit of MW.
Further, as shown in fig. 8, in the heat storage tank energy storage evaluation module, taking a heat storage process as an example, the evaluating the virtual heat load of the heat storage tank according to the operation parameters of the heat storage tank includes:
calculating the positive available load increment of the energy storage of the heat storage tank according to the formula (4)
Figure BDA0002619286870000138
Figure BDA0002619286870000139
Calculating the reverse available load increment of the energy storage of the heat storage tank according to the formula (5)
Figure BDA0002619286870000141
Figure BDA0002619286870000142
Wherein, cpThe specific heat capacity at constant pressure of water is expressed in kJ/(kg. ℃);
Dsthe unit is t/h, which is the actual heat storage flow;
Ththe temperature of hot water in the heat storage tank is measured in units of temperature;
Tlthe temperature of cold water in the heat storage tank is shown in unit;
hmthe unit is kJ/kg of exhaust enthalpy of the intermediate pressure cylinder;
hcis the hydrophobic enthalpy of the heating network heater and has the unit of kJ/kg.
In the invention, the heat supply unit is regarded as an energy conversion system integrating multiple energy forms such as boiler energy storage, heat supply network energy storage, heat storage tank energy storage and the like, the heat supply network energy storage is deeply excavated and utilized, and the flexible operation capacity of the heat supply unit is further improved while the heat supply quality of the heat supply network is ensured.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. A multi-energy distribution and scheduling system for a heating unit, the system comprising:
the load instruction optimizing and distributing module is used for decomposing and reconstructing the load instruction of the unit and generating a boiler energy storage cooperative control instruction comprising a slow load instruction signal and a heat supply network energy storage cooperative control instruction comprising a fast load instruction signal;
the distributed energy source cooperative control module comprises a boiler energy storage cooperative control module, a heat supply network energy storage cooperative control module and a heat storage tank energy storage cooperative control module;
the boiler energy storage cooperative control module is used for utilizing and supplementing boiler energy storage according to the received boiler energy storage cooperative control instruction and controlling the variable load rate of the unit;
the heat supply network energy storage cooperative control module is used for switching between the heat supply steam extraction throttling load adjusting loop and the heat supply network water supply temperature adjusting loop according to the heat supply network energy storage cooperative control instruction so as to realize the tracking and control of the heat supply steam extraction throttling load and the heat supply network water supply temperature;
the heat storage tank energy storage cooperative control module is used for switching between the heat storage and discharge power regulating circuit and the heat supply network water supply temperature regulating circuit according to the heat supply network energy storage cooperative input signal so as to realize the tracking and control of the heat storage and discharge power of the heat storage tank and the heat supply network water supply temperature;
the multi-energy online evaluation module comprises a heat storage tank energy storage evaluation module and a heat supply network energy storage evaluation module;
the heat supply network energy storage evaluation module is used for calculating available load increment of forward throttling and backward throttling of heat supply extraction steam according to unit operation parameters and evaluating heat load of a heat supply network;
and the heat storage tank energy storage evaluation module is used for evaluating the virtual heat load of the heat storage tank according to the operation parameters of the heat storage tank.
2. The system of claim 1, wherein the unit load instructions include a grid AGC instruction and a primary frequency modulation instruction;
the load instruction optimizing and distributing module comprises a signal processing unit, wherein the signal processing unit is used for carrying out multi-layer decomposition processing on the unit load instruction and comprises the following components:
using signal processing link N (x) to set load instruction signal x0(s) carrying out n times of decomposition, wherein the decomposition result is a formula (1);
Figure FDA0002619286860000021
wherein x isi(s)＝[1-Ni(x)]xi-1(s)，xci(s)＝Ni(x)xi-1(s)。
3. The system of claim 2, wherein the signal processing unit is further configured to perform rate limiting processing on the decomposed signal, and the rate limiting processing includes:
constructing a sequence of rate limiting valuesColumn { R1,R2,......RnIn which the first order limit value R1Speed limit value R to nth ordernGradually increasing, the load instruction of the unit passes through the first-stage speed limit value R1Signal x obtained after processingc1(s) is a slow load command signal, the unit load command signal x is removedc1Part of(s) passing through the second-order limiting value R2Signal x obtained after processingc2(s) is a fast load command signal.
4. The system of claim 3, wherein the load instruction optimization and distribution module further comprises an instruction reconstruction unit;
the instruction reconstruction unit is used for processing the slow load instruction signal and a load pre-adjustment instruction constructed by using the slow load instruction signal into a boiler energy storage cooperative control instruction, wherein the load pre-adjustment instruction is used for enabling the unit to rapidly cross a load adjustment dead zone in a variable load initial stage;
and the instruction reconstruction unit is also used for carrying out amplitude limiting processing on the fast load instruction signal according to an amplitude limiting value K so as to obtain a heat supply network energy storage cooperative control instruction.
5. The system of claim 4, wherein the load instruction optimization and distribution module further comprises a parameter optimization module for optimizing the first order speed limit R1Second-order speed limit value R2And a clipping value K, comprising:
comprehensive performance index K adjusted by unit AGC variable loadpThe main steam pressure average IAE index, the water supply temperature average IAE index and the coal supply overshoot index are weighted and summed to be a fitness function, iterative cross operation and variation operation are carried out according to a genetic algorithm, and a first-order speed limit value R is output until the fitness reaches an expected value or the iteration times reach the maximum value1Second-order speed limit value R2And an optimum value of the clipping value K.
6. The system of claim 1, wherein the boiler energy storage cooperative control module comprises a static feed forward module, a dynamic feed forward module, and a predictive controller;
the static feedforward module is used for carrying out reference positioning on the coal feeding amount of the boiler according to an actual load instruction to form static feedforward of the coal feeding amount;
the dynamic feedforward module is used for calculating the pre-coal feeding amount according to the input AGC instruction, the actual load instruction and the heat supply steam extraction throttling load instruction, and forming a coal feeding amount total feedforward after the pre-coal feeding amount is superposed with the coal feeding amount static feedforward;
the prediction controller comprises a model prediction module, a set value softening module and a rolling optimization module;
the model prediction module is used for predicting and outputting the variable quantity of the main steam pressure in real time by combining the static feed forward of the coal feeding quantity, the opening of the main steam valve and the opening of the high bypass valve on the basis of the feedback correction of the main steam pressure;
the set value softening module is used for softening the natural sliding pressure set value according to the softening factor and the main steam pressure feedback value and outputting the main steam pressure set value;
the rolling optimization module is used for performing rolling optimization on a difference vector between the main steam pressure variable quantity and the main steam pressure set value and outputting a predicted coal feeding quantity;
and superposing the total feed forward of the coal feeding amount and the predicted coal feeding amount to obtain a final coal feeding amount signal.
7. The system of claim 1, wherein the heat supply network energy storage cooperative control module is configured to receive a heat supply network energy storage cooperative control input signal, a heat supply network water supply temperature setting instruction, and a heat supply network energy storage cooperative control instruction;
when the unit is in a variable load process, the heat supply network energy storage cooperative control module is switched to a heat supply steam extraction throttling load adjusting loop, and at the moment, the heat supply network water supply temperature adjusting loop is in a tracking state;
when the unit enters a steady state, the heat supply network energy storage cooperative control module is switched to the heat supply network water supply temperature adjusting loop, and at the moment, the heat supply steam extraction throttling load adjusting loop is in a tracking state.
8. The system of claim 1, wherein the heat storage tank energy storage cooperative control module is configured to receive a heat supply network energy storage cooperative control input signal and a heat supply network water supply temperature setting instruction;
when the unit is in a variable load process, the heat storage tank energy storage cooperative control module is switched to a heat supply network water supply temperature adjusting circuit, and at the moment, the heat storage and discharge power adjusting circuit is in a tracking state;
when the unit enters a steady state, the heat storage tank energy storage cooperative control module is switched to the heat storage and discharge power regulating circuit, and the heat supply network water supply temperature regulating circuit is in a tracking state at the moment.
9. The system of claim 3, wherein the calculating the available load increments for forward and reverse throttling of the heating extraction based on the unit operating parameters comprises:
calculating available load increment of positive throttling of heat supply extraction steam according to formula (2)
Figure FDA0002619286860000041
Figure FDA0002619286860000042
Wherein D ishThe actual steam inlet flow of the heat supply network heater is represented by t/h;
Figure FDA0002619286860000043
the minimum steam inlet flow of the heater of the heat supply network is MW;
calculating available load increment for reverse throttling of heat supply steam extraction according to formula (3)
Figure FDA0002619286860000044
Figure FDA0002619286860000045
Wherein the content of the first and second substances,
Figure FDA0002619286860000046
the actual steam inlet flow of the low-pressure cylinder is represented by t/h;
Figure FDA0002619286860000047
is the minimum cooling flow of the low pressure cylinder and has the unit of MW.
10. The system of claim 8, wherein the evaluating the virtual thermal load of the thermal storage tank as a function of the thermal storage tank operating parameter comprises:
calculating the positive available load increment of the energy storage of the heat storage tank according to the formula (4)
Figure FDA0002619286860000051
Figure FDA0002619286860000052
Calculating the reverse available load increment of the energy storage of the heat storage tank according to the formula (5)
Figure FDA0002619286860000053
Figure FDA0002619286860000054
Wherein, cpThe specific heat capacity at constant pressure of water is expressed in kJ/(kg. ℃);
Dsthe unit is t/h, which is the actual heat storage flow;
Ththe temperature of hot water in the heat storage tank is measured in units of temperature;
Tlis the temperature of cold water in the heat storage tank,the unit is;
hmthe unit is kJ/kg of exhaust enthalpy of the intermediate pressure cylinder;
hcis the hydrophobic enthalpy of the heating network heater and has the unit of kJ/kg.
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CN115218245A (en) * 2022-07-21 2022-10-21 西安热工研究院有限公司 Control method and system for improving flexibility of unit through heat supply steam extraction throttling
CN115857575A (en) * 2021-09-24 2023-03-28 国能智深控制技术有限公司 Method and device for adjusting main steam pressure of thermal generator set and readable storage medium

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Publication number Priority date Publication date Assignee Title
CN112963210A (en) * 2021-03-17 2021-06-15 国网天津市电力公司电力科学研究院 Comprehensive control device with thermoelectric balance capability
CN115857575A (en) * 2021-09-24 2023-03-28 国能智深控制技术有限公司 Method and device for adjusting main steam pressure of thermal generator set and readable storage medium
CN115857575B (en) * 2021-09-24 2024-04-09 国能智深控制技术有限公司 Method and device for adjusting main steam pressure of thermal generator set and readable storage medium
CN115218245A (en) * 2022-07-21 2022-10-21 西安热工研究院有限公司 Control method and system for improving flexibility of unit through heat supply steam extraction throttling
CN115218245B (en) * 2022-07-21 2023-07-28 西安热工研究院有限公司 Control method and system for improving flexibility of unit through heat supply and steam extraction throttling
CN115167142A (en) * 2022-07-29 2022-10-11 华能伊敏煤电有限责任公司 Multi-heat-source heat supply unit combined control method, system, equipment and storage medium

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