CN112734591A - Electric heating comprehensive coordination scheduling method and device, equipment and medium - Google Patents
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Abstract
The invention provides an electric heating comprehensive coordination scheduling method, an electric heating comprehensive coordination scheduling device, electric heating comprehensive coordination scheduling equipment and an electric heating comprehensive coordination scheduling medium, wherein the method comprises the following steps: obtaining model parameters of an electric power system, model parameters of a thermal power plant and model parameters of a thermal system: constructing an electric heating comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters, wherein the electric heating comprehensive coordination scheduling model is a model of electric heating; and obtaining a solving result based on the electric heating comprehensive coordination scheduling model so as to carry out scheduling. By introducing a detailed thermal power plant model into the electric heating comprehensive coordination scheduling problem, the physical process in the thermal power plant can be more accurately described, the real physical law of electric heating system coupling is reflected, and scheduling is more reasonably performed.
Description
Technical Field
The invention relates to the technical field of energy utilization, in particular to an electric heating comprehensive coordination scheduling method, an electric heating comprehensive coordination scheduling device, electric heating comprehensive coordination scheduling equipment and an electric heating comprehensive coordination scheduling medium.
Background
At present, the problems of energy safety and environmental pollution are increasingly prominent, the use mode of the traditional fossil energy is changed, and the improvement of the energy utilization efficiency gradually becomes the urgent need of the human society. The cogeneration technology is a key technology for realizing the cascade utilization of energy, and the development of the cogeneration technology in China is very rapid in recent years. With the gradual development of thermal power plants, the coupling between the traditional power system and the thermodynamic system is increasingly tight, and an electric-heat comprehensive energy system is gradually developed. In order to fully exert the synergistic effect of the electric heating comprehensive energy system on realizing the optimal utilization of energy, the current electric heating comprehensive coordination scheduling problem becomes a hot spot problem which is widely concerned.
In the existing electric heating comprehensive coordination scheduling problem, the key electric heating coupling loop of the thermal power plant is usually simplified into a polygonal operation area of one or more thermoelectric power units, however, in fact, the thermal power plant usually has a more complex internal structure, and the adjustment of the loop involves various key parameters of a plurality of thermal components in the thermal power plant; on the other hand, the increasing abundance of the adjusting means of the thermal power plant causes the change of the unit operation interval, and the traditional modeling mode based on the operation interval cannot meet the analysis requirement. Then, it is necessary to model the thermal power plant in more detail in the electric heating comprehensive coordination scheduling problem, which is the basis for objectively reflecting the electric heating system coupling law.
Disclosure of Invention
The invention provides an electric heating comprehensive coordination scheduling method, an electric heating comprehensive coordination scheduling device and a medium.
In a first aspect, the present invention provides an electric heating comprehensive coordination scheduling method, including:
obtaining model parameters of an electric power system, model parameters of a thermal power plant and model parameters of a thermal system:
constructing an electric heating comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters, wherein the electric heating comprehensive coordination scheduling model is a model of electric heating;
and obtaining a solving result based on the electric heating comprehensive coordination scheduling model so as to carry out scheduling.
Further, the power system model parameters comprise a coal consumption characteristic function of a conventional thermal power generating unit, the maximum climbing speed of the conventional thermal power generating unit and the thermoelectric unit, and the maximum and minimum technical output of the conventional thermal power generating unit; the method comprises the following steps of (1) connecting a power bus and a power transmission line, active power transfer distribution factors from the power bus to the power transmission line, the maximum active transmission capacity of the power transmission line, an electric load prediction curve in a scheduling time interval and a wind power active output limit prediction curve;
the model parameters of the thermal power plant comprise topological connection relations among thermal parts, inlet and outlet temperatures, inlet and outlet pressures, steam inlet flow, ideal specific enthalpy drop, internal efficiency, maximum and minimum main steam flow of the thermal power plant, high-pressure cylinder bypass maximum flow, low-pressure cylinder minimum steam inlet flow, sliding pressure curve shape parameters, temperature-reduced water and boiler feed water specific enthalpy, generator efficiency, mechanical efficiency, boiler efficiency, physical property database, specific heat capacity of water, coal heat value, phase-change heat exchanger and performance coefficients of an absorption heat pump of the thermal power plant under rated working conditions;
the thermodynamic system model parameters comprise a node-pipeline connection relation of a primary thermodynamic pipeline, a temperature dynamic equation coefficient, transmission delay, mass flow, maximum and minimum node temperatures, soil temperature, minimum equivalent thermal resistance of a secondary thermodynamic pipeline network, maximum and minimum indoor temperatures, thermal capacity and thermal resistance of a building enclosure structure and an outdoor environment temperature prediction curve.
Further, the constructing of the electric-thermal comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters comprises:
constructing an objective function of an electric heating comprehensive coordination scheduling model, wherein the expression is as follows:
wherein the content of the first and second substances,the active power output of the conventional thermal power generating unit i in the time period t is shown;the coal consumption characteristic function of a conventional thermal power generating unit i is obtained;the coal consumption of the thermoelectric unit i in the time period t is shown;
constructing a power system constraint condition of an electric heating comprehensive coordination scheduling model;
constructing thermal power plant constraint conditions of an electric heating comprehensive coordination scheduling model; the thermal power plant comprises one or more of thermal parts or thermal links such as a thermal motor set, a phase-change heat exchanger, an absorption heat pump, an in-plant heat supply network and the like; the thermoelectric unit comprises one or more types of back pressure units or extraction condensing units;
constructing a thermodynamic system constraint condition of an electric heating comprehensive coordination scheduling model;
and constructing an abstract form of the electric heating comprehensive coordination scheduling model.
Further, the power system constraints include: the method comprises the following steps of (1) power system energy balance constraint, unit active output upper and lower limit constraint, unit climbing rate constraint and line active transmission capacity constraint;
the power system energy balance constraint is as follows:
wherein the content of the first and second substances,the active power of the thermoelectric unit i in the time period t;is the active power output of the wind farm w at time t;is a predicted value of the electrical load e at the time period t;
the active output upper and lower limits of the unit are constrained as follows:
wherein the content of the first and second substances,andrespectively the maximum and minimum technical output of a conventional thermal power generating unit i;the active output limit predicted value of the wind power plant w in the time period t is obtained;
the unit climbing rate constraint is as follows:
wherein the content of the first and second substances,andthe maximum climbing speed and the maximum climbing speed of the conventional thermal power generating unit i are respectively set;andthe maximum climbing speed and the maximum climbing speed of the thermoelectric unit i are respectively set; Δ t is the length of the scheduling period;
the active transmission capacity constraint of the line is as follows:
wherein, SFulIs the active power transfer distribution factor from the power bus u to the power transmission line l;is the maximum active transmission capacity of the power transmission line l.
Further, the thermal power plant constraint conditions for constructing the electric-thermal comprehensive coordination scheduling model comprise:
constructing operation constraints of high, medium and low pressure cylinders of the thermoelectric unit; for the high pressure cylinder, the middle pressure cylinder and the low pressure cylinder of the back pressure unit and the high pressure cylinder and the middle pressure cylinder of the extraction condensing unit, the following operation constraints are constructed:
wherein, the superscript x can be HP, IP and LP, which respectively represent the relevant parameters of high, middle and low pressure cylinders; the superscript 0 represents the relevant parameter under the rated working condition;the steam inlet flow of the high, medium and low pressure cylinders;andthe inlet pressure and the outlet pressure of the high-pressure cylinder, the medium-pressure cylinder and the low-pressure cylinder are respectively set;andthe inlet and outlet temperatures of the high, medium and low pressure cylinders are respectively;the ideal temperature of the steam after isentropic adiabatic expansion in the high, medium and low pressure cylinders;andthe actual specific enthalpy drop in the high-pressure cylinder, the intermediate-pressure cylinder and the low-pressure cylinder and the ideal specific enthalpy drop during isentropic adiabatic expansion are respectively;the internal efficiency of the high, medium and low pressure cylinders under rated working conditions; h (-) and s (-) are a specific enthalpy function and a specific entropy function, respectively, and the function values can be queried through a physical property database; the physical property database is an existing database;
for the low pressure cylinder of the extraction and condensation unit, the following operational constraints are established:
wherein the content of the first and second substances,andthe actual dryness of the last-stage steam of the low-pressure cylinder and the ideal dryness of the steam of the low-pressure cylinder after isentropic adiabatic expansion are respectively obtained;
constructing coupling constraints among high, medium and low pressure cylinders of the thermoelectric unit:
for the back pressure unit, the following steam flow balance equation is constructed:
wherein the content of the first and second substances,the serial number of the phase change heat exchanger connected with the thermoelectric unit i;andrespectively the main steam flow and the regenerative steam flow of the thermoelectric unit i in a time period t;is the heating steam flow of the phase change heat exchanger j in the time period t; alpha is alphai、βiAnd gammaiThe final steam flow of the high, medium and low pressure cylinders of the thermoelectric unit i accounts for the proportion of the steam inlet flow;andthe maximum main steam flow and the minimum main steam flow of the thermoelectric unit i are respectively;
for the extraction condensing unit, the following steam flow balance equation is constructed:
wherein the content of the first and second substances,is the serial number of the absorption heat pump connected with the thermoelectric unit i;andthe bypass flow of a high-pressure cylinder and the steam extraction flow of a medium-pressure cylinder of the thermoelectric unit i in a time period t are shown;andthe maximum flow of a high-pressure cylinder bypass and the minimum steam inlet flow of a low-pressure cylinder of the thermoelectric unit i are respectively;andthe proportions of the high-pressure cylinder bypass desuperheating water and the medium-pressure cylinder bypass desuperheating water of the thermoelectric generator set i at the time t are respectively;is the specific enthalpy of the reduced temperature water of the thermoelectric unit i;is the driving steam flow of the absorption heat pump j in the time period t;
and for the back pressure unit and the extraction condensing unit, constructing a coupling relation of inlet and outlet temperatures and pressures of high, medium and low pressure cylinders:
wherein the content of the first and second substances,the steam inlet temperature of the high and medium pressure cylinders under rated working conditions; aiand biThe shape parameters of a sliding pressure curve of the thermoelectric unit i are all the shape parameters;
and constructing an external characteristic equation for the back pressure unit and the extraction condensing unit:
wherein the content of the first and second substances,andthe generator efficiency and the mechanical efficiency of the thermoelectric unit i are respectively;
constructing coal consumption characteristic constraints of the thermoelectric unit;
wherein the content of the first and second substances,is the boiler feed water specific enthalpy of the thermoelectric unit i;is the boiler efficiency of the thermoelectric unit i; HV is the calorific value of the coal;
constructing operation constraint of the phase change heat exchanger;
wherein, cwIs the specific heat capacity of water;andthe heat exchange quantity and the pipe network water flow of the phase change heat exchanger j in the time period t are respectively;andthe temperature of the inlet and the outlet of the pipe network water of the phase change heat exchanger j at the time t is respectively;is the coefficient of performance of the phase change heat exchanger j;
constructing operation constraint of the absorption heat pump;
wherein the content of the first and second substances,andthe heat produced by the absorption heat pump j in the time period t and the water flow of a pipe network are respectively;andthe temperature of the water inlet and outlet of the pipe network of the absorption heat pump j in the time period t respectively;is the coefficient of performance of the absorption heat pump j;
and (3) constructing the operation constraint of the heat supply network in the plant:
wherein the content of the first and second substances,andrespectively a pipeline number set of heat supply network nodes n in the inflow factory and the outflow factory;is the flow of the thermal pipe p in the plant during the time period t;andthe inlet temperature and the outlet temperature of the thermal pipeline p in the plant at a time t are respectively set;is the mixed temperature of the heating network node n in the plant in the time period t.
Further, the thermodynamic system constraint conditions for constructing the electric-thermal comprehensive coordination scheduling model include:
constructing a first-stage heating power pipe network operation constraint;
wherein the content of the first and second substances,andthe inlet and outlet temperatures of the primary thermal pipeline p in the time period t are respectively; kappap,1、κp,2And kappap,3The coefficients of the temperature dynamic equation of the primary thermal pipeline p are respectively;andthe transmission delay and the mass flow of the primary thermal pipeline p are respectively; t issoilIs the soil temperature;is the post-mixing temperature of node n at time period t;andmaximum and minimum post-mix temperatures for node n, respectively;
constructing a secondary heating power pipe network operation constraint;
wherein p ishIs the number of the first-stage heating power pipeline connected with the heat load h;is the thermal power of the thermal load h over a period t;is the indoor temperature of the thermal load h over a period t;the minimum equivalent thermal resistance of the secondary heating power pipe network h;
building envelope operation constraints;
wherein the content of the first and second substances,is the temperature of the middle node of the building envelope h in the time period t;andrespectively the heat capacity and the heat resistance of the building envelope h; t isindoor,maxAnd Tindoor,minMaximum and minimum indoor temperatures, respectively;is the outdoor ambient temperature prediction value for time period t.
Further, the constructing of the abstract form of the electric heating comprehensive coordination scheduling model comprises:
wherein the decision vector X1The included decision variables are shown as formula (21); the other decision variables are represented as decision vector X2(ii) a The objective function is abstractly represented as F (X)1,X2) (ii) a Constraint equations (6), (7), (10), and (11) are abstractly expressed as X1 ═ G1 (X2); other constraints are abstractly represented as G2(X1, X2) ≦ 0;
further, the obtaining of a solution result for scheduling based on the electrothermal synthesis coordination scheduling model comprises:
s1: initializing decision vector X1The value of (A) and the result of (B) are recorded asSetting the convergence error ε>0. The maximum iteration number N and the current iteration number N are 0;
s2: x in abstract form of electric heat comprehensive coordination scheduling model1Is arranged asSolving the remaining decision vector X using a commercial solver2To obtain X2Is expressed asThe solver adopts one or more of a CPLEX solver or a GUROBI solver;
S4: determiningOr n>Obtaining a solution result under the condition that N is satisfiedOtherwise, let n be incremented by 1 and return to step S2 until a qualified solution is obtained.
In a second aspect, the present invention provides an electric heating comprehensive coordination scheduling device, including:
the parameter acquisition module is used for acquiring model parameters of the power system, model parameters of the thermal power plant and model parameters of the thermodynamic system:
the model construction module is used for constructing an electric heating comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters;
and the solving and scheduling module is used for obtaining a solving result based on the electric heating comprehensive coordination scheduling model so as to perform scheduling.
In a third aspect, the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any of the above-mentioned electrothermal comprehensive coordinated scheduling methods when executing the program.
In a fourth aspect, the present invention also provides a non-transitory computer readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the electrothermal integrated coordinated scheduling method according to any one of the above.
The invention provides an electric heating comprehensive coordination scheduling method, an electric heating comprehensive coordination scheduling device and a medium.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of an integrated electric heating and cooling coordination scheduling method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the electric heating comprehensive coordination scheduling device according to the present invention;
fig. 3 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An electric heating comprehensive coordination scheduling method of the present invention is described below with reference to fig. 1.
Fig. 1 is a flowchart of an electric heating comprehensive coordination scheduling method according to an embodiment of the present invention.
The embodiment of the invention provides an electric heating comprehensive coordination scheduling method, which comprises the following steps:
step 110: obtaining model parameters of an electric power system, model parameters of a thermal power plant and model parameters of a thermal system:
specifically, electric power system model parameters, thermal power plant model parameters and thermodynamic system model parameters are respectively obtained from operation management departments of the electric power system, the thermal power plant and the thermodynamic system: the power system model parameters comprise a coal consumption characteristic function of a conventional thermal power generating unit, the maximum climbing speed of the conventional thermal power generating unit and the thermoelectric power generating unit, and the maximum and minimum technical output of the conventional thermal power generating unit; the method comprises the following steps of (1) connecting a power bus and a power transmission line, active power transfer distribution factors from the power bus to the power transmission line, the maximum active transmission capacity of the power transmission line, an electric load prediction curve in a scheduling time interval and a wind power active output limit prediction curve;
the model parameters of the thermal power plant comprise topological connection relations among thermal parts, inlet and outlet temperatures, inlet and outlet pressures, steam inlet flow, ideal specific enthalpy drop, internal efficiency, maximum and minimum main steam flow of the thermal power plant, high-pressure cylinder bypass maximum flow, low-pressure cylinder minimum steam inlet flow, sliding pressure curve shape parameters, temperature-reduced water and boiler feed water specific enthalpy, generator efficiency, mechanical efficiency, boiler efficiency, physical property database, specific heat capacity of water, coal heat value, phase-change heat exchanger and performance coefficients of an absorption heat pump of the thermal power plant under rated working conditions;
the thermodynamic system model parameters comprise a node-pipeline connection relation of a primary thermodynamic pipeline, a temperature dynamic equation coefficient, transmission delay, mass flow, maximum and minimum node temperatures, soil temperature, minimum equivalent thermal resistance of a secondary thermodynamic pipeline network, maximum and minimum indoor temperatures, thermal capacity and thermal resistance of a building enclosure structure and an outdoor environment temperature prediction curve.
Step 120: constructing an electric heating comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters, wherein the electric heating comprehensive coordination scheduling model is a model of electric heating;
specifically, a series of objective functions, power system constraints, thermal power plant constraints, thermodynamic system constraints, and the like may be constructed. In order to realize that an electric heating comprehensive coordination scheduling model is constructed based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters, an objective function of the electric heating comprehensive coordination scheduling model can be constructed, the expression is as follows:
wherein the content of the first and second substances,the active power output of the conventional thermal power generating unit i in the time period t is shown;the coal consumption characteristic function of a conventional thermal power generating unit i is obtained;the coal consumption of the thermoelectric unit i in the time period t is shown; the objective function shown in the formula (1) is to minimize the total operation coal consumption of the electric heating integrated energy system, including the operation coal consumption of a conventional thermal power generating unit and the operation coal consumption of the thermal power generating unit.
Electric power system constraint conditions of the electric heating comprehensive coordination scheduling model can be established; the thermal power plant constraint conditions of the electric heating comprehensive coordination scheduling model can be established; the thermal power plant comprises one or more of thermal parts or thermal links such as a thermal motor set, a phase-change heat exchanger, an absorption heat pump, an in-plant heat supply network and the like; the thermoelectric unit comprises one or more types of back pressure units or extraction condensing units; a thermodynamic system constraint condition of the electric heating comprehensive coordination scheduling model can be established; an abstract form of the electric heating comprehensive coordination scheduling model can be constructed.
Further, the power system constraints include: the method comprises the following steps of (1) power system energy balance constraint, unit active output upper and lower limit constraint, unit climbing rate constraint and line active transmission capacity constraint;
the power system energy balance constraint is as follows:
wherein the content of the first and second substances,the active power of the thermoelectric unit i in the time period t;is the active power output of the wind farm w at time t;is a predicted value of the electrical load e at the time period t; in any scheduling period, the power system needs to meet energy balance;
the active output upper and lower limits of the unit are constrained as follows:
wherein, the active power of the conventional thermal power plant and the wind power plant needs to be in a certain range,andrespectively a conventional thermal engineMaximum, minimum technical output for group i;the active output limit predicted value of the wind power plant w in the time period t is obtained;
the unit climbing rate constraint is as follows:
wherein the content of the first and second substances,andthe maximum climbing speed and the maximum climbing speed of the conventional thermal power generating unit i are respectively set;andthe maximum climbing speed and the maximum climbing speed of the thermoelectric unit i are respectively set; Δ t is the length of the scheduling period; here, the active regulation rate of the conventional thermal power generating unit and the thermoelectric power generating unit should not exceed a certain threshold value.
The active transmission capacity constraint of the line is as follows:
wherein, SFulIs the active power transfer distribution factor from the power bus u to the power transmission line l;is the maximum active transmission capacity of the power transmission line l.
Further, the thermal power plant constraint conditions for constructing the electric-thermal comprehensive coordination scheduling model comprise:
constructing operation constraints of high, medium and low pressure cylinders of the thermoelectric unit; for the high pressure cylinder, the middle pressure cylinder and the low pressure cylinder of the back pressure unit and the high pressure cylinder and the middle pressure cylinder of the extraction condensing unit, the following operation constraints are constructed:
the formula (6) sequentially gives a through-flow equation and a thermal power conversion equation in a high-pressure cylinder, a middle-pressure cylinder and a low-pressure cylinder of the back pressure unit and a high-pressure cylinder and a middle-pressure cylinder of the pumping and condensing unit, and at the moment, the final-stage steam of each cylinder is usually in an overheat state; wherein, the superscript x can be HP, IP and LP, which respectively represent the relevant parameters of high, middle and low pressure cylinders; the superscript 0 represents the relevant parameter under the rated working condition;the steam inlet flow of the high, medium and low pressure cylinders;andthe inlet pressure and the outlet pressure of the high-pressure cylinder, the medium-pressure cylinder and the low-pressure cylinder are respectively set;andthe inlet and outlet temperatures of the high, medium and low pressure cylinders are respectively;the ideal temperature of the steam after isentropic adiabatic expansion in the high, medium and low pressure cylinders;andthe actual specific enthalpy drop in the high-pressure cylinder, the intermediate-pressure cylinder and the low-pressure cylinder and the ideal specific enthalpy drop during isentropic adiabatic expansion are respectively;the internal efficiency of the high, medium and low pressure cylinders under rated working conditions; h (-) and s (-) are a specific enthalpy function and a specific entropy function, respectively, and the function values can be queried through a physical property database; the physical property database is an existing database;
for the low pressure cylinder of the extraction and condensation unit, the following operational constraints are established:
because the steam of the last stage of the low pressure cylinder of the extraction and condensation type unit is usually in a wet saturation state, the through-flow equation and the heat-work conversion equation of the low pressure cylinder of the extraction and condensation type unit are independently given by the formula (7); wherein the content of the first and second substances,andthe actual dryness of the last-stage steam of the low-pressure cylinder and the ideal dryness of the steam of the low-pressure cylinder after isentropic adiabatic expansion are respectively obtained;
constructing coupling constraints among high, medium and low pressure cylinders of the thermoelectric unit:
for the back pressure unit, the following steam flow balance equation is constructed:
wherein the content of the first and second substances,the serial number of the phase change heat exchanger connected with the thermoelectric unit i;andrespectively the main steam flow and the regenerative steam flow of the thermoelectric unit i in a time period t;is the heating steam flow of the phase change heat exchanger j in the time period t; alpha is alphai、βiAnd gammaiThe final steam flow of the high, medium and low pressure cylinders of the thermoelectric unit i accounts for the proportion of the steam inlet flow;andthe maximum main steam flow and the minimum main steam flow of the thermoelectric unit i are respectively;
for the extraction condensing unit, the following steam flow balance equation is constructed:
wherein the content of the first and second substances,is the serial number of the absorption heat pump connected with the thermoelectric unit i;andis the bypass flow of the high-pressure cylinder and the steam extraction flow of the medium-pressure cylinder of the thermoelectric unit i in the time period tAn amount;andthe maximum flow of a high-pressure cylinder bypass and the minimum steam inlet flow of a low-pressure cylinder of the thermoelectric unit i are respectively;andthe proportions of the high-pressure cylinder bypass desuperheating water and the medium-pressure cylinder bypass desuperheating water of the thermoelectric generator set i at the time t are respectively;is the specific enthalpy of the reduced temperature water of the thermoelectric unit i;is the driving steam flow of the absorption heat pump j in the time period t;
and for the back pressure unit and the extraction condensing unit, constructing a coupling relation of inlet and outlet temperatures and pressures of high, medium and low pressure cylinders:
wherein the content of the first and second substances,the steam inlet temperature of the high and medium pressure cylinders under rated working conditions; aiand biThe shape parameters of a sliding pressure curve of the thermoelectric unit i are all the shape parameters;
and constructing an external characteristic equation for the back pressure unit and the extraction condensing unit:
wherein the content of the first and second substances,andthe generator efficiency and the mechanical efficiency of the thermoelectric unit i are respectively; in the formula (12), the power output of the thermoelectric unit is in direct proportion to the sum of the specific enthalpy drops in the high, medium and low pressure cylinders;
constructing coal consumption characteristic constraints of the thermoelectric unit;
wherein the content of the first and second substances,is the boiler feed water specific enthalpy of the thermoelectric unit i;is the boiler efficiency of the thermoelectric unit i; HV is the calorific value of the coal; here, the operation coal consumption of the thermoelectric power generation unit includes coal consumption in the main steam heating process and coal consumption in the reheating process.
Constructing operation constraint of the phase change heat exchanger;
wherein, cwIs the specific heat capacity of water;andthe heat exchange quantity and the pipe network of the phase change heat exchanger j in the time period t respectivelyWater flow rate;andthe temperature of the inlet and the outlet of the pipe network water of the phase change heat exchanger j at the time t is respectively;is the coefficient of performance of the phase change heat exchanger j;
constructing operation constraint of the absorption heat pump;
wherein the content of the first and second substances,andthe heat produced by the absorption heat pump j in the time period t and the water flow of a pipe network are respectively;andthe temperature of the water inlet and outlet of the pipe network of the absorption heat pump j in the time period t respectively;is the coefficient of performance of the absorption heat pump j;
and (3) constructing the operation constraint of the heat supply network in the plant:
wherein the content of the first and second substances,andrespectively a pipeline number set of heat supply network nodes n in the inflow factory and the outflow factory;is the flow of the thermal pipe p in the plant during the time period t;andthe inlet temperature and the outlet temperature of the thermal pipeline p in the plant at a time t are respectively set;is the mixed temperature of the heating network node n in the plant in the time period t. Here, equation (16) gives the flow balance equation at the heating network node in the plant and the energy balance equation.
Further, the thermodynamic system constraint conditions for constructing the electric-thermal comprehensive coordination scheduling model comprise:
constructing a first-stage heating power pipe network operation constraint;
wherein the content of the first and second substances,andthe inlet and outlet temperatures of the primary thermal pipeline p in the time period t are respectively; kappap,1、κp,2And kappap,3The coefficients of the temperature dynamic equation of the primary thermal pipeline p are respectively;andthe transmission delay and the mass flow of the primary thermal pipeline p are respectively; t issoilIs the soil temperature;is the post-mixing temperature of node n at time period t;andmaximum and minimum post-mix temperatures for node n, respectively; the formula (17) sequentially provides a temperature dynamic equation of the primary heat distribution pipeline, an energy conservation equation at a node in the primary heat distribution pipeline network, and upper and lower temperature limit constraints at the node in the primary heat distribution pipeline network.
Constructing a secondary heating power pipe network operation constraint;
wherein p ishIs the number of the first-stage heating power pipeline connected with the heat load h;is the thermal power of the thermal load h over a period t;is the indoor temperature of the thermal load h over a period t;the minimum equivalent thermal resistance of the secondary heating power pipe network h;
building envelope operation constraints;
wherein equation (19) first gives the discretized building envelope heat transfer equation, whereIs the temperature of the middle node of the building envelope h in the time period t;andrespectively the heat capacity and the heat resistance of the building envelope h; t isindoor,maxAnd Tindoor,minMaximum and minimum indoor temperatures, respectively;is the predicted outdoor ambient temperature value for time period t, and meanwhile, the indoor temperature needs to be within a certain range in order to ensure the heat supply comfort of the heat user.
It is worth to be noted that the abstract form for constructing the electric heating comprehensive coordination scheduling model includes:
wherein the decision vector X1The included decision variables are shown as formula (21); the other decision variables are represented as decision vector X2(ii) a The objective function is abstractly represented as F (X)1,X2) (ii) a Constraint equations (6), (7), (10), and (11) are abstractly expressed as X1 ═ G1 (X2); other constraints are abstractly represented as G2(X1, X2) ≦ 0;
step 130: and obtaining a solving result based on the electric heating comprehensive coordination scheduling model so as to carry out scheduling.
After the electric heating comprehensive coordination scheduling model is obtained, solving the electric heating comprehensive coordination scheduling model considering the internal structure of the thermal power plant, wherein the thermal power plant constraint equation in the electric heating comprehensive coordination scheduling model considering the internal structure of the thermal power plant is nonlinear and cannot be directly solved by adopting a commercial solver, so that the invention starts from the special structure of the formula (20) and adopts an iteration method to solve the problem, and the method comprises the following steps:
s1: initializing decision vector X1The value of (A) and the result of (B) are recorded asSetting the convergence error ε>0. The maximum iteration number N and the current iteration number N are 0; in this embodiment, let ε be 10-3, N=20;
S2: x in abstract form of electric heat comprehensive coordination scheduling model1Is arranged asSolving the remaining decision vector X using a commercial solver2To obtain X2Is expressed asThe solver adopts one or more of a CPLEX solver or a GUROBI solver; here, the CPLEX solver or the GUROBI solver can efficiently process various optimization types such as linear programming, quadratic programming, mixed integer linear programming, mixed integer quadratic programming, second order cone programming, and the like;
S4: determiningOr n>Obtaining a solution result under the condition that N is satisfiedOtherwise, n is incremented by 1(n ═ n +1), and the process returns to step S2 until a satisfactory solution result is obtained.
It can be seen that the invention converts the electric heating comprehensive coordination scheduling problem which cannot be solved directly by a commercial solver into a series of problems which can be processed by the commercial solver, thereby facilitating the use of the invention in practical engineering.
The electric heating comprehensive coordination scheduling device provided by the invention has the advantages that the detailed thermal power plant model is introduced into the electric heating comprehensive coordination scheduling problem, the physical process in the thermal power plant can be more accurately described, the real physical law of electric heating system coupling is reflected, the scheduling is more reasonably carried out, meanwhile, in order to process the problem that the model is difficult to solve caused by the introduction of the detailed thermal power plant model, the practical iterative solution method is provided, the electric heating comprehensive coordination scheduling model can be converted into a series of models which can be processed by a commercial solver, and the application in practical engineering is facilitated.
The electric heating comprehensive coordination scheduling device provided by the invention is described below, and the electric heating comprehensive coordination scheduling device described below and the electric heating comprehensive coordination scheduling method described above can be referred to correspondingly.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an electric-heating comprehensive coordination scheduling device according to the present invention.
The invention provides an electric heating comprehensive coordination scheduling device 200, comprising:
a parameter obtaining module 210, configured to obtain power system model parameters, thermal power plant model parameters, and thermodynamic system model parameters:
a model construction module 220, configured to construct an electric-thermal comprehensive coordination scheduling model based on the power system model parameters, the thermal power plant model parameters, and the thermodynamic system model parameters;
and the solution scheduling module 230 is used for obtaining a solution result based on the electrothermal comprehensive coordination scheduling model so as to perform scheduling.
The parameter acquisition module is configured to: obtaining model parameters from operation management departments of an electric power system, a thermal power plant and a thermodynamic system and sending the model parameters to a model construction module; the model parameters comprise electric power system model parameters, thermal power plant model parameters and thermodynamic system model parameters;
the model building module is configured to: according to the model parameters, sequentially constructing an objective function, an electric power system constraint condition, a thermal power plant constraint condition and a thermodynamic system constraint condition of the electric heating comprehensive coordination scheduling model, constructing an abstract form of the electric heating comprehensive coordination scheduling model and sending the abstract form to a solving scheduling module;
the solution scheduling module is configured to: and solving the electric heating comprehensive coordination scheduling model by adopting the method in the embodiment of the method, and outputting a solving result.
As can be seen, the invention introduces a detailed thermal power plant model in the electric heating comprehensive coordination scheduling problem, can more accurately describe the physical process in the thermal power plant, and reflects the real physical law of electric heating system coupling. Meanwhile, in order to solve the problem that a model is difficult to solve due to the introduction of a detailed thermal power plant model, the invention provides a practical iterative solution method, and the method can convert an electric heating comprehensive coordination scheduling model into a series of models which can be processed by a commercial solver, so that the application in practical engineering is facilitated.
The electric heating comprehensive coordination scheduling device provided by the invention has the advantages that the detailed thermal power plant model is introduced into the electric heating comprehensive coordination scheduling problem, the physical process in the thermal power plant can be more accurately described, the real physical law of electric heating system coupling is reflected, the scheduling is more reasonably carried out, meanwhile, in order to process the problem that the model is difficult to solve caused by the introduction of the detailed thermal power plant model, the practical iterative solution method is provided, the electric heating comprehensive coordination scheduling model can be converted into a series of models which can be processed by a commercial solver, and the application in practical engineering is facilitated.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)310, a communication Interface (communication Interface)320, a memory (memory)330 and a communication bus 340, wherein the processor 310, the communication Interface 320 and the memory 330 communicate with each other via the communication bus 340. The processor 310 may invoke logic instructions in the memory 330 to perform an electro-thermal integrated coordinated scheduling method comprising: obtaining model parameters of an electric power system, model parameters of a thermal power plant and model parameters of a thermal system: constructing an electric heating comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters, wherein the electric heating comprehensive coordination scheduling model is a model of electric heating; and obtaining a solving result based on the electric heating comprehensive coordination scheduling model so as to carry out scheduling.
In addition, the logic instructions in the memory 330 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the electric-thermal integrated coordination scheduling method provided by the above methods, the method comprising: obtaining model parameters of an electric power system, model parameters of a thermal power plant and model parameters of a thermal system: constructing an electric heating comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters, wherein the electric heating comprehensive coordination scheduling model is a model of electric heating; and obtaining a solving result based on the electric heating comprehensive coordination scheduling model so as to carry out scheduling.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the electrothermal integrated coordination scheduling methods provided above, the method comprising: obtaining model parameters of an electric power system, model parameters of a thermal power plant and model parameters of a thermal system: constructing an electric heating comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters, wherein the electric heating comprehensive coordination scheduling model is a model of electric heating; and obtaining a solving result based on the electric heating comprehensive coordination scheduling model so as to carry out scheduling.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An electric heating comprehensive coordination scheduling method is characterized by comprising the following steps:
obtaining model parameters of an electric power system, model parameters of a thermal power plant and model parameters of a thermal system:
constructing an electric heating comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters, wherein the electric heating comprehensive coordination scheduling model is a model of electric heating;
and obtaining a solving result based on the electric heating comprehensive coordination scheduling model so as to carry out scheduling.
2. The electric-thermal integrated coordinated scheduling method of claim 1,
the power system model parameters comprise a coal consumption characteristic function of a conventional thermal power generating unit, the maximum climbing speed of the conventional thermal power generating unit and the thermoelectric power generating unit, and the maximum and minimum technical output of the conventional thermal power generating unit; the method comprises the following steps of (1) connecting a power bus and a power transmission line, active power transfer distribution factors from the power bus to the power transmission line, the maximum active transmission capacity of the power transmission line, an electric load prediction curve in a scheduling time interval and a wind power active output limit prediction curve;
the model parameters of the thermal power plant comprise topological connection relations among thermal parts, inlet and outlet temperatures, inlet and outlet pressures, steam inlet flow, ideal specific enthalpy drop, internal efficiency, maximum and minimum main steam flow of the thermal power plant, high-pressure cylinder bypass maximum flow, low-pressure cylinder minimum steam inlet flow, sliding pressure curve shape parameters, temperature-reduced water and boiler feed water specific enthalpy, generator efficiency, mechanical efficiency, boiler efficiency, physical property database, specific heat capacity of water, coal heat value, phase-change heat exchanger and performance coefficients of an absorption heat pump of the thermal power plant under rated working conditions;
the thermodynamic system model parameters comprise a node-pipeline connection relation of a primary thermodynamic pipeline, a temperature dynamic equation coefficient, transmission delay, mass flow, maximum and minimum node temperatures, soil temperature, minimum equivalent thermal resistance of a secondary thermodynamic pipeline network, maximum and minimum indoor temperatures, thermal capacity and thermal resistance of a building enclosure structure and an outdoor environment temperature prediction curve.
3. The electric-thermal integrated coordinated scheduling method of claim 1,
the step of constructing an electric-heat comprehensive coordination scheduling model based on the electric power system model parameters, the thermal power plant model parameters and the thermodynamic system model parameters comprises the following steps:
constructing an objective function of an electric heating comprehensive coordination scheduling model, wherein the expression is as follows:
wherein the content of the first and second substances,the active power output of the conventional thermal power generating unit i in the time period t is shown;the coal consumption characteristic function of a conventional thermal power generating unit i is obtained;the coal consumption of the thermoelectric unit i in the time period t is shown;
constructing a power system constraint condition of an electric heating comprehensive coordination scheduling model;
constructing thermal power plant constraint conditions of an electric heating comprehensive coordination scheduling model; the thermal power plant comprises one or more of thermal parts or thermal links such as a thermal motor set, a phase-change heat exchanger, an absorption heat pump, an in-plant heat supply network and the like; the thermoelectric unit comprises one or more types of back pressure units or extraction condensing units;
constructing a thermodynamic system constraint condition of an electric heating comprehensive coordination scheduling model;
and constructing an abstract form of the electric heating comprehensive coordination scheduling model.
4. The electric-thermal integrated coordinated scheduling method of claim 3,
the power system constraints include: the method comprises the following steps of (1) power system energy balance constraint, unit active output upper and lower limit constraint, unit climbing rate constraint and line active transmission capacity constraint;
the power system energy balance constraint is as follows:
wherein the content of the first and second substances,the active power of the thermoelectric unit i in the time period t;is the active power output of the wind farm w at time t;is a predicted value of the electrical load e at the time period t;
the active output upper and lower limits of the unit are constrained as follows:
wherein, Pi TU,maxAnd Pi TU,minRespectively the maximum and minimum technical output of a conventional thermal power generating unit i;the active output limit predicted value of the wind power plant w in the time period t is obtained;
the unit climbing rate constraint is as follows:
wherein the content of the first and second substances,andthe maximum climbing speed and the maximum climbing speed of the conventional thermal power generating unit i are respectively set;andthe maximum climbing speed and the maximum climbing speed of the thermoelectric unit i are respectively set; Δ t is the length of the scheduling period;
the active transmission capacity constraint of the line is as follows:
wherein, SFulIs the active power transfer distribution factor from the power bus u to the power transmission line l; pl L,maxIs electric powerThe maximum active transmission capacity of the transmission line l.
5. The electric-thermal integrated coordinated scheduling method of claim 3,
the thermal power plant constraint conditions for constructing the electric heating comprehensive coordination scheduling model comprise:
constructing operation constraints of high, medium and low pressure cylinders of the thermoelectric unit; for the high pressure cylinder, the middle pressure cylinder and the low pressure cylinder of the back pressure unit and the high pressure cylinder and the middle pressure cylinder of the extraction condensing unit, the following operation constraints are constructed:
wherein, the superscript x can be HP, IP and LP, which respectively represent the relevant parameters of high, middle and low pressure cylinders; the superscript 0 represents the relevant parameter under the rated working condition;the steam inlet flow of the high, medium and low pressure cylinders;andthe inlet pressure and the outlet pressure of the high-pressure cylinder, the medium-pressure cylinder and the low-pressure cylinder are respectively set;andthe inlet and outlet temperatures of the high, medium and low pressure cylinders are respectively;the ideal temperature of the steam after isentropic adiabatic expansion in the high, medium and low pressure cylinders;andthe actual specific enthalpy drop in the high-pressure cylinder, the intermediate-pressure cylinder and the low-pressure cylinder and the ideal specific enthalpy drop during isentropic adiabatic expansion are respectively;the internal efficiency of the high, medium and low pressure cylinders under rated working conditions; h (-) and s (-) are a specific enthalpy function and a specific entropy function, respectively, and the function values can be queried through a physical property database; the physical property database is an existing database;
for the low pressure cylinder of the extraction and condensation unit, the following operational constraints are established:
wherein the content of the first and second substances,andthe actual dryness of the last-stage steam of the low-pressure cylinder and the ideal dryness of the steam of the low-pressure cylinder after isentropic adiabatic expansion are respectively obtained;
constructing coupling constraints among high, medium and low pressure cylinders of the thermoelectric unit:
for the back pressure unit, the following steam flow balance equation is constructed:
wherein the content of the first and second substances,the serial number of the phase change heat exchanger connected with the thermoelectric unit i;andrespectively the main steam flow and the regenerative steam flow of the thermoelectric unit i in a time period t;is the heating steam flow of the phase change heat exchanger j in the time period t; alpha is alphai、βiAnd gammaiThe final steam flow of the high, medium and low pressure cylinders of the thermoelectric unit i accounts for the proportion of the steam inlet flow;andthe maximum main steam flow and the minimum main steam flow of the thermoelectric unit i are respectively;
for the extraction condensing unit, the following steam flow balance equation is constructed:
wherein the content of the first and second substances,is the serial number of the absorption heat pump connected with the thermoelectric unit i;andthe bypass flow of a high-pressure cylinder and the steam extraction flow of a medium-pressure cylinder of the thermoelectric unit i in a time period t are shown;andthe maximum flow of a high-pressure cylinder bypass and the minimum steam inlet flow of a low-pressure cylinder of the thermoelectric unit i are respectively;andthe proportions of the high-pressure cylinder bypass desuperheating water and the medium-pressure cylinder bypass desuperheating water of the thermoelectric generator set i at the time t are respectively;is the specific enthalpy of the reduced temperature water of the thermoelectric unit i;is the driving steam flow of the absorption heat pump j in the time period t;
and for the back pressure unit and the extraction condensing unit, constructing a coupling relation of inlet and outlet temperatures and pressures of high, medium and low pressure cylinders:
wherein, Ti in,0The steam inlet temperature of the high and medium pressure cylinders under rated working conditions;aiand biThe shape parameters of a sliding pressure curve of the thermoelectric unit i are all the shape parameters;
and constructing an external characteristic equation for the back pressure unit and the extraction condensing unit:
wherein the content of the first and second substances,andthe generator efficiency and the mechanical efficiency of the thermoelectric unit i are respectively;
constructing coal consumption characteristic constraints of the thermoelectric unit;
wherein the content of the first and second substances,is the boiler feed water specific enthalpy of the thermoelectric unit i;is the boiler efficiency of the thermoelectric unit i; HV is the calorific value of the coal;
constructing operation constraint of the phase change heat exchanger;
wherein, cwIs the specific heat capacity of water;andthe heat exchange quantity and the pipe network water flow of the phase change heat exchanger j in the time period t are respectively;andthe temperature of the inlet and the outlet of the pipe network water of the phase change heat exchanger j at the time t is respectively;is the coefficient of performance of the phase change heat exchanger j;
constructing operation constraint of the absorption heat pump;
wherein the content of the first and second substances,andthe heat produced by the absorption heat pump j in the time period t and the water flow of a pipe network are respectively;andthe temperature of the water inlet and outlet of the pipe network of the absorption heat pump j in the time period t respectively;is the coefficient of performance of the absorption heat pump j;
and (3) constructing the operation constraint of the heat supply network in the plant:
wherein the content of the first and second substances,andrespectively a pipeline number set of heat supply network nodes n in the inflow factory and the outflow factory;is the flow of the thermal pipe p in the plant during the time period t;andthe inlet temperature and the outlet temperature of the thermal pipeline p in the plant at a time t are respectively set;is the mixed temperature of the heating network node n in the plant in the time period t.
6. The electric-thermal integrated coordinated scheduling method of claim 3,
the thermodynamic system constraint conditions for constructing the electric heating comprehensive coordination scheduling model comprise:
constructing a first-stage heating power pipe network operation constraint;
wherein the content of the first and second substances,andthe inlet and outlet temperatures of the primary thermal pipeline p in the time period t are respectively; kappap,1、κp,2And kappap,3The coefficients of the temperature dynamic equation of the primary thermal pipeline p are respectively;andthe transmission delay and the mass flow of the primary thermal pipeline p are respectively; t issoilIs the soil temperature;is the post-mixing temperature of node n at time period t;andmaximum and minimum post-mix temperatures for node n, respectively;
constructing a secondary heating power pipe network operation constraint;
wherein p ishIs the number of the first-stage heating power pipeline connected with the heat load h;is the thermal power of the thermal load h over a period t;is the indoor temperature of the thermal load h over a period t;the minimum equivalent thermal resistance of the secondary heating power pipe network h;
building envelope operation constraints;
wherein the content of the first and second substances,is the temperature of the middle node of the building envelope h in the time period t;andrespectively the heat capacity and the heat resistance of the building envelope h; t isindoor,maxAnd Tindoor,minMaximum and minimum indoor temperatures, respectively; t ist envIs the outdoor ambient temperature prediction value for time period t.
7. The electric-thermal integrated coordinated scheduling method of claim 3,
the abstract form for constructing the electric heating comprehensive coordination scheduling model comprises the following steps:
wherein the decision vector X1The included decision variables are shown as formula (21); the other decision variables are represented as decision vector X2(ii) a The objective function is abstractly represented as F (X)1,X2) (ii) a Constraint equations (6), (7), (10), and (11) are abstractly expressed as X1 ═ G1 (X2); other constraints are abstractly represented as G2(X1, X2) ≦ 0;
8. the electric-thermal integrated coordinated scheduling method of claim 7,
the obtaining of a solution result for scheduling based on the electrothermal integrated coordination scheduling model comprises:
s1: initializing decision vector X1The value of (A) and the result of (B) are recorded asSetting the convergence error ε>0. The maximum iteration number N and the current iteration number N are 0;
s2: x in abstract form of electric heat comprehensive coordination scheduling model1Is arranged asSolving the remaining decision vector X using a commercial solver2To obtain X2Is expressed asThe solver adopts one or more of a CPLEX solver or a GUROBI solver;
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the electrothermal integrated coordinated scheduling method according to any one of claims 1 to 7 when executing the program.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the electro-thermal integrated coordinated scheduling method according to any one of claims 1 to 7.
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CN114370896A (en) * | 2021-12-29 | 2022-04-19 | 贵州电网有限责任公司 | Method for monitoring heating power generation capacity of heat storage tank of expansion power generation system |
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CN114370896A (en) * | 2021-12-29 | 2022-04-19 | 贵州电网有限责任公司 | Method for monitoring heating power generation capacity of heat storage tank of expansion power generation system |
CN114370896B (en) * | 2021-12-29 | 2024-03-19 | 贵州电网有限责任公司 | Method for monitoring heating power generation capacity of heat storage tank of expansion power generation system |
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