Scheduling method for improving new energy consumption capability of alpine region

Abstract

The invention discloses a scheduling method for improving the new energy consumption capability of an alpine region, and belongs to an electricity-heat combined scheduling method. The purpose of the invention is to solve the problem of low new energy consumption capability in alpine regions. The method comprises the following steps: step 1, establishing an electric heating combined system optimization scheduling model with minimum system coal consumption cost and wind power photovoltaic penalty cost as a target; and 2, establishing a thermal characteristic constraint condition of a thermodynamic system, a conventional constraint condition of an electric power system, an electric boiler constraint condition and an electric energy storage device constraint condition, and adjusting the electric and thermal combined system optimization scheduling model through all the established constraint conditions, so that a photovoltaic power station and a wind power station in the model completely output power, and scheduling of the new energy consumption capability is realized. The method is used for scheduling the new energy consumption capability.

Description

Technical Field

[0001] The invention relates to the technical field of joint dispatching of electric power system and thermal power system, and belongs to an electric-thermal joint dispatching method. Background Art

[0002] With the rapid development of the national economy, my country's electricity demand has been rising year by year. The excessive consumption of fossil fuels, mainly coal, has led to the problem of exhaustion, resulting in a gradual shortage of raw materials for thermal power generation. Therefore, my country has vigorously developed new clean energy, and the scale and installed capacity of wind power, photovoltaic and other new energy power generation have increased year by year. Therefore, during the winter heating period in high-altitude and cold areas, thermal power generation, thermal power generation, wind power and photovoltaic power are used for joint power generation. In order to meet the winter heating needs in high-altitude and cold areas, the "heat-to-electricity" operation mode of thermal power generating units makes their power generation large, which squeezes out the space for new energy (wind power and photovoltaic power) to access the Internet, resulting in the inability of wind power and photovoltaic power to fully output, resulting in serious problems of wind and light abandonment, and causing waste of wind and photovoltaic energy. Therefore, the low absorption capacity of new energy in high-altitude and cold areas is a problem that needs to be solved urgently. Summary of the invention

[0003] The purpose of the present invention is to solve the problem of low new energy consumption capacity in high-altitude and cold areas, and proposes a scheduling method for improving the new energy consumption capacity in high-altitude and cold areas.

[0004] A scheduling method for improving the new energy consumption capacity in high-altitude and cold regions, characterized in that the method includes the following contents:

[0005] Step 1: Establish an optimal dispatch model for the combined electric and thermal system with the goal of minimizing the system coal consumption cost and wind power and photovoltaic penalty costs;

[0006] Step 2: Establish thermal characteristic constraints of the thermal system, conventional constraints of the power system, constraints of the electric boiler and constraints of the electric energy storage device, and adjust the optimal dispatching model of the combined electric and thermal system through all the established constraints, so that the photovoltaic power station and wind farm in the model can fully output their power and realize the dispatching of the new energy absorption capacity.

[0007] Preferably, in step 1, an optimization scheduling model of the electric-heat combined system with the goal of minimizing the total cost is established:

[0008]

[0009] In the formula, the first character t of each variable subscript represents the tth dispatch period, T is the total number of periods; C is the total system cost; R and H are the number of thermal power plants and the number of thermal power plants respectively; N r 、N h are the number of thermal power units in the rth thermal power plant and the number of thermal power units in the hth thermal power plant respectively; N windis the number of wind farms, Nph is the number of photovoltaic power stations, C1, C2, and C3 are the coal price, the wind abandonment penalty cost coefficient, and the photovoltaic abandonment penalty cost coefficient respectively; They are respectively the predicted power of the i-th wind farm at time t and the power that can be generated by the i-th wind farm; are the predicted power of the i-th photovoltaic power station at time t and the available power of the i-th photovoltaic power station, respectively. α1, α2, α3, α4, α5, α6, β1, β2, and β3 are all fitting coefficients. is the power of the i-th thermal power unit in the r-th thermal power plant at time t, is the thermal power of the i-th thermal power unit in the r-th thermal power plant at time t, is the electric power of the i-th thermal power unit of the h-th thermal power plant at time t.

[0010] Preferably, the thermal characteristic constraints of the thermal system include heat exchange station operation constraints, primary heating network operation constraints, secondary heating network operation constraints and heating network characteristic constraints.

[0011] Preferably, the heat exchange station operation constraints are:

[0012]

[0013] In the formula, is the thermal power of the lth heat exchange station of the rth thermal power plant before heat exchange at time t, is the heat power of the lth heat exchange station of the rth thermal power plant at time t, η is the heat exchange efficiency of the heat exchange station, N r,l is the number of secondary heat network pipelines in the lth heat exchange station of the rth thermal power plant, It is the heat distributed to the kth secondary heat network pipeline after heat exchange at the lth heat exchange station of the rth thermal power plant at time t.

[0014] Preferably, the primary heat network operation constraints include heat source constraints and heat power balance constraints;

[0015] Heat source constraints:

[0016]

[0017] Where M p is the number of primary heat network pipelines of the rth thermal power plant; C P is the specific heat capacity of water; m t,r,p is the flow rate of the pth heating pipeline in the heating network of the rth thermal power plant; are the supply water temperature and return water temperature at the head node of the pth heating pipeline in the heating network of the rth thermal power plant, respectively. EB is the number of electric boilers, is the operating power of the i-th electric boiler;

[0018] Thermal power balance constraints:

[0019]

[0020] In the formula, is t+τ r,l The flow rate of the pth heating pipeline in the heating network of the rth thermal power plant at the moment, is t+τ r,l The water supply temperature at the head end node of the pth heating pipeline in the heating network of the rth thermal power plant at the moment, is t+τ r,l The return water temperature at the head end node of the pth heating pipeline in the heating network of the rth thermal power plant at the moment, is t+τ r,l The thermal power after heat exchange at the lth heat exchange station of the rth thermal power plant at time, is t+τ r,l The heat loss of the pth heating network pipeline in the heating network of the rth thermal power plant at the moment; L r is the number of heat exchange stations in the rth thermal power plant; τ r,l is the transmission delay time for the heat from the rth thermal power plant to reach the lth heat exchange station.

[0021] Preferably, the secondary heat network constraints include heat load constraints and heat power balance constraints;

[0022] Heat load constraints:

[0023]

[0024] In the formula, is the heat power of the kth heat load of the lth heat exchange station of the rth thermal power plant at time t; m t,r,l,k is the water flow rate of the secondary heat network connected to the kth heat load of the lth heat exchange station of the rth thermal power plant at time t; They are the supply water temperature and return water temperature of the heat load side of the secondary heat network pipeline connected to the kth heat load of the lth heat exchange station of the rth thermal power plant at time t;

[0025] Thermal power balance constraints:

[0026]

[0027] In the formula, is the thermal power of the lth heat exchange station of the rth thermal power plant after heat exchange at time t, is t+τ r The thermal power of the kth heat load carried by the lth heat exchange station of the rth thermal power plant at the moment; ΔQ t,r,l,p is the heat loss of the pth secondary heat network pipeline in the lth heat exchange station of the rth thermal power plant at time t; M r,lis the number of pipelines in the secondary heat network of the lth heat exchange station in the rth thermal power plant; r,l is the heat load of the lth heat exchange station in the rth thermal power plant; τ r,l,k It is the transmission delay time of the heat from the lth heat exchange station of the rth thermal power plant to the kth heat load of the lth heat exchange station of the rth thermal power plant.

[0028] Preferably, the conventional constraints of the power system include active power balance constraints, thermal power unit output constraints and thermal power unit output constraints;

[0029] Active power balance constraints:

[0030]

[0031] In the formula, is the electric power of the i-th thermal power unit in the r-th thermal power plant; is the electric power of the i-th thermal power unit in the h-th thermal power plant; is the charging and discharging power of the i-th energy storage device; is the electric load power of the nth load node; N is the number of electric load nodes; N IESS is the number of energy storage power stations in the system; N EB is the number of electric boilers in the system,

[0032] is the electric power of the i-th wind farm, P i ph is the electric power of the i-th photovoltaic power station, is the electric power of the i-th electric boiler, are all 0-1 variables, representing the start and stop status of the i-th electric boiler and the i-th electric energy storage device respectively;

[0033] Output constraints of thermal power units:

[0034]

[0035] In the formula, is the electric power of the i-th thermal power unit in the h-th thermal power plant; The upper and lower limits of the power of the i-th thermal power unit in the h-th thermal power plant;

[0036] Output constraints of thermal power units:

[0037]

[0038]

[0039]

[0040] In the formula, is the electric power of the i-th thermal power unit in the r-th thermal power plant; D t,r,i is the heating steam extraction rate of the i-th thermal power unit in the r-th thermal power plant; The upper and lower limits of the steam extraction rate for the heat supply of the i-th thermal power unit in the r-th thermal power plant; b is the upper and lower limits of the power of the i-th thermal power unit in the r-th thermal power plant; L , b H It is the electric-to-heat ratio of the thermal power unit under back pressure conditions and maximum condensation conditions.

[0041] Preferably, the electric boiler constraints are:

[0042]

[0043]

[0044]

[0045] In the formula, is the thermal power of the i-th electric boiler, is the operating power of the i-th electric boiler; η is the electric-to-heat conversion efficiency of the electric boiler; are the upper and lower limits of the electric power of the i-th electric boiler respectively; are the upper and lower limits of the thermal output of the i-th electric boiler respectively.

[0046] Preferably, the electric energy storage device constraints are:

[0047]

[0048] In the formula, are the upper and lower limits of the electric power of the i-th electric energy storage device respectively.

[0049] Beneficial effects of the present invention:

[0050] The present invention fully considers the heating network characteristics of the secondary heating network, and can fully explore the heat storage capacity of the pipelines of the primary heating network and the secondary heating network through the scheduling model; the present invention fully considers the operating characteristics of electric boilers and electric energy storage devices, and can fully promote the consumption of new energy (wind energy and photovoltaic energy) through the scheduling model, improve the economy of the operation of the combined electric and thermal system, and improve the new energy consumption capacity.

[0051] The present invention utilizes a variety of constraints to limit the parameters in the optimization scheduling model of the electric-thermal combined system with the goal of minimizing the system coal consumption cost and the wind power and photovoltaic confiscation costs, thereby enabling wind energy and photovoltaic energy to fully output, reducing the cost of the entire combined power generation system, and reducing the consumption of thermal power generation and heat power generation, minimizing the problem of wind and solar power abandonment, and maximizing the absorption of wind power and photovoltaic energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 The present invention is a flow chart of a dispatching method for improving the new energy consumption capacity in high-altitude and cold regions. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0055] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0056] Example:

[0057] Combination Figure 1 This embodiment describes a scheduling method for improving the new energy consumption capacity in high-cold areas, and the method includes the following contents:

[0058] Step 1: Establish an optimal dispatch model for the combined electric and thermal system with the goal of minimizing the system coal consumption cost and wind power and photovoltaic penalty costs;

[0059] Step 2: Establish thermal characteristic constraints of the thermal system, conventional constraints of the power system, constraints of the electric boiler and constraints of the electric energy storage device, and adjust the optimal dispatching model of the combined electric and thermal system through all the established constraints, so that the photovoltaic power station and wind farm in the model can fully output their power and realize the dispatching of the new energy absorption capacity.

[0060] Specifically, an optimal dispatching model for the combined electric and thermal system is established, which takes into account the constraints of the power system, the thermal characteristics of the heating network, the operation of electric boilers, and the constraints of electric energy storage devices. This model is a mixed integer nonlinear programming model, and the output of thermal power units, thermal power units, wind farms, and photovoltaic power stations in each dispatching period can be obtained by solving it with a nonlinear programming solver.

[0061] The following introduces the establishment of an optimal scheduling model for the electric-heat combined system with the goal of minimizing the total cost:

[0062]

[0063] In the formula, the first character t of each variable subscript represents the tth dispatch period, T is the total number of periods; C is the total system cost; R and H are the number of thermal power plants and the number of thermal power plants respectively; N r 、Nh are the number of thermal power units in the rth thermal power plant and the number of thermal power units in the hth thermal power plant respectively; N wind is the number of wind farms, Nph is the number of photovoltaic power stations, C1, C2, and C3 are the coal price, the wind abandonment penalty cost coefficient, and the photovoltaic abandonment penalty cost coefficient respectively; They are respectively the predicted power of the i-th wind farm at time t and the power that can be generated by the i-th wind farm; are the predicted power of the i-th photovoltaic power station at time t and the available power of the i-th photovoltaic power station, respectively. α1, α2, α3, α4, α5, α6, β1, β2, and β3 are all fitting coefficients. is the power of the i-th thermal power unit in the r-th thermal power plant at time t, is the thermal power of the i-th thermal power unit in the r-th thermal power plant at time t, is the electric power of the i-th thermal power unit of the h-th thermal power plant at time t.

[0064] The following introduces the composition of the thermal characteristic constraints of the thermal system: including heat exchange station operation constraints, primary heating network operation constraints, secondary heating network operation constraints and heating network characteristic constraints.

[0065] The following are the operating constraints of the heat exchange station:

[0066]

[0067] In the formula, is the thermal power of the lth heat exchange station of the rth thermal power plant before heat exchange, is the heat power of the lth heat exchange station of the rth thermal power plant after heat exchange, η is the heat exchange efficiency of the heat exchange station, N r,l is the number of secondary heat network pipelines in the lth heat exchange station of the rth thermal power plant, The heat power distributed to the kth secondary heating network pipeline after heat exchange at the lth heat exchange station of the rth thermal power plant.

[0068] Specifically, a heat exchange station is connected to a primary heat network pipeline and to several secondary heat network pipelines. During its operation, there is a certain amount of heat loss, and its operation satisfies Formula 2.

[0069] The following introduces the composition of the first-level heat network operation constraints: including heat source constraints and heat power balance constraints;

[0070] Heat source constraints:

[0071]

[0072] Where M p is the number of primary heat network pipelines of the rth thermal power plant; C P is the specific heat capacity of water; mt,r,p is the flow rate of the pth heating pipeline in the heating network of the rth thermal power plant; are the supply water temperature and return water temperature at the head node of the pth heating pipeline in the heating network of the rth thermal power plant, respectively. EB is the number of electric boilers, is the operating power of the i-th electric boiler;

[0073] Thermal power balance constraints:

[0074]

[0075] In the formula, is t+τ r,l The flow rate of the pth heating pipeline in the heating network of the rth thermal power plant at the moment, is t+τ r,l The water supply temperature at the head end node of the pth heating pipeline in the heating network of the rth thermal power plant at the moment, is t+τ r,l The return water temperature at the head end node of the pth heating pipeline in the heating network of the rth thermal power plant at the moment, is t+τ r,l The thermal power after heat exchange at the lth heat exchange station of the rth thermal power plant at time, is t+τ r,l The heat loss of the pth heating network pipeline in the heating network of the rth thermal power plant at the moment; L r is the number of heat exchange stations in the rth thermal power plant; τ r,l is the transmission delay time for the heat from the rth thermal power plant to reach the lth heat exchange station.

[0076] The following introduces the composition of the secondary heat network constraints: including heat load constraints and heat power balance constraints;

[0077] Heat load constraints:

[0078]

[0079] In the formula, is the heat power of the kth heat load of the lth heat exchange station of the rth thermal power plant at time t; m t,r,l,k is the water flow rate of the secondary heat network connected to the kth heat load of the lth heat exchange station of the rth thermal power plant at time t; They are the supply water temperature and return water temperature of the heat load side of the secondary heat network pipeline connected to the kth heat load of the lth heat exchange station of the rth thermal power plant at time t;

[0080] Thermal power balance constraints:

[0081]

[0082] In the formula, is the thermal power of the lth heat exchange station of the rth thermal power plant after heat exchange at time t, is t+τ r The thermal power of the kth heat load carried by the lth heat exchange station of the rth thermal power plant at the moment; ΔQ t,r,l,p is the heat loss of the pth secondary heat network pipeline in the lth heat exchange station of the rth thermal power plant at time t; M r,l is the number of pipelines in the secondary heat network of the lth heat exchange station in the rth thermal power plant; r,l is the heat load of the lth heat exchange station in the rth thermal power plant; τ r,l,k It is the transmission delay time of the heat from the lth heat exchange station of the rth thermal power plant to the kth heat load of the lth heat exchange station of the rth thermal power plant.

[0083] The following introduces the composition of conventional constraints of the power system: including active power balance constraints, thermal power unit output constraints and thermal power unit output constraints;

[0084] Active power balance constraints:

[0085]

[0086] In the formula, is the electric power of the i-th thermal power unit in the r-th thermal power plant; is the electric power of the i-th thermal power unit in the h-th thermal power plant; is the charging and discharging power of the i-th energy storage device; is the electric load power of the nth load node; N is the number of electric load nodes; N IESS is the number of energy storage power stations in the system; N EB is the number of electric boilers in the system,

[0087] is the electric power of the i-th wind farm, is the electric power of the i-th photovoltaic power station, is the electric power of the i-th electric boiler, are all 0-1 variables, representing the start and stop status of the i-th electric boiler and the i-th electric energy storage device respectively;

[0088] Output constraints of thermal power units:

[0089]

[0090] In the formula, is the electric power of the i-th thermal power unit in the h-th thermal power plant; The upper and lower limits of the power of the i-th thermal power unit in the h-th thermal power plant;

[0091] Output constraints of thermal power units:

[0092]

[0093]

[0094]

[0095] In the formula, is the electric power of the i-th thermal power unit in the r-th thermal power plant; D t,r,i is the heating steam extraction rate of the i-th thermal power unit in the r-th thermal power plant; The upper and lower limits of the steam extraction rate for the heat supply of the i-th thermal power unit in the r-th thermal power plant; b is the upper and lower limits of the power of the i-th thermal power unit in the r-th thermal power plant; L , b H It is the electric-to-heat ratio of the thermal power unit under back pressure conditions and maximum condensation conditions.

[0096] The constraints of electric boilers are as follows:

[0097]

[0098]

[0099]

[0100] In the formula, is the thermal power of the i-th electric boiler, is the operating power of the i-th electric boiler; η is the electric-to-heat conversion efficiency of the electric boiler; are the upper and lower limits of the electric power of the i-th electric boiler respectively; are the upper and lower limits of the thermal output of the i-th electric boiler respectively.

[0101] The constraints of the electric energy storage device are as follows:

[0102]

[0103] In the formula, are the upper and lower limits of the electric power of the i-th electric energy storage device respectively.

[0104] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that features described in conjunction with individual embodiments may be used in other described embodiments.

Claims

1. A dispatching method for improving the new energy consumption capacity in high-cold areas, characterized in that: The method includes the following: Step 1: Establish an optimal dispatch model for the combined electric and thermal system with the goal of minimizing the system coal consumption cost and wind power and photovoltaic penalty costs; Step 2: Establish thermal characteristic constraints of the thermal system, conventional constraints of the power system, constraints of the electric boiler and constraints of the electric energy storage device, and adjust the optimal dispatching model of the combined electric and thermal system through all the established constraints, so that the photovoltaic power station and wind farm in the model can fully output their power and realize the dispatching of the new energy absorption capacity.

2. A dispatching method for improving the new energy consumption capacity in high-cold areas according to claim 1, characterized in that: In step 1, an optimal scheduling model for the combined electric and thermal system with the goal of minimizing the total cost is established: In the formula, the first character t of each variable subscript represents the tth dispatch period, T is the total number of periods; C is the total system cost; R and H are the number of thermal power plants and the number of thermal power plants respectively; N r 、N h are the number of thermal power units in the rth thermal power plant and the number of thermal power units in the hth thermal power plant respectively; N wind is the number of wind farms, Nph is the number of photovoltaic power stations, C1, C2, and C3 are the coal price, the wind abandonment penalty cost coefficient, and the photovoltaic abandonment penalty cost coefficient respectively; They are respectively the predicted power of the i-th wind farm at time t and the power that can be generated by the i-th wind farm; are the predicted power of the i-th photovoltaic power station at time t and the available power of the i-th photovoltaic power station, respectively. α1, α2, α3, α4, α5, α6, β1, β2, and β3 are all fitting coefficients. is the power of the i-th thermal power unit in the r-th thermal power plant at time t, is the thermal power of the i-th thermal power unit in the r-th thermal power plant at time t, is the electric power of the i-th thermal power unit of the h-th thermal power plant at time t.

3. A dispatching method for improving the new energy consumption capacity in high-cold areas according to claim 1, characterized in that: The thermal characteristic constraints of the thermal system include heat exchange station operation constraints, primary heating network operation constraints, secondary heating network operation constraints and heating network characteristic constraints.

4. A dispatching method for improving the new energy consumption capacity in high-cold areas according to claim 3, characterized in that: Heat exchange station operation constraints: In the formula, is the thermal power of the lth heat exchange station of the rth thermal power plant before heat exchange at time t, is the heat power of the lth heat exchange station of the rth thermal power plant at time t, η is the heat exchange efficiency of the heat exchange station, N r,l is the number of secondary heat network pipelines in the lth heat exchange station of the rth thermal power plant, It is the heat distributed to the kth secondary heat network pipeline after heat exchange at the lth heat exchange station of the rth thermal power plant at time t.

5. A dispatching method for improving the new energy consumption capacity in high-cold areas according to claim 4, characterized in that: The operation constraints of the primary heat network include heat source constraints and heat power balance constraints; Heat source constraints: Where M p is the number of primary heat network pipelines of the rth thermal power plant; C P is the specific heat capacity of water; m t,r,p is the flow rate of the pth heating pipeline in the heating network of the rth thermal power plant; are the supply water temperature and return water temperature at the head node of the pth heating pipeline in the heating network of the rth thermal power plant, respectively. EB is the number of electric boilers, is the operating power of the i-th electric boiler; Thermal power balance constraints: In the formula, is t+τ r,l The flow rate of the pth heating pipeline in the heating network of the rth thermal power plant at the moment, is t+τ r,l The water supply temperature at the head end node of the pth heating pipeline in the heating network of the rth thermal power plant at the moment, is t+τ r,l The return water temperature at the head end node of the pth heating pipeline in the heating network of the rth thermal power plant at the moment, is t+τ r,l The thermal power after heat exchange at the lth heat exchange station of the rth thermal power plant at time, is t+τ r,l The heat loss of the pth heating network pipeline in the heating network of the rth thermal power plant at the moment; L r is the number of heat exchange stations in the rth thermal power plant; τ r,l is the transmission delay time for the heat from the rth thermal power plant to reach the lth heat exchange station.

6. A dispatching method for improving the new energy consumption capacity in high-cold areas according to claim 5, characterized in that: Secondary heat network constraints include heat load constraints and heat power balance constraints; Heat load constraints: In the formula, is the heat power of the kth heat load of the lth heat exchange station of the rth thermal power plant at time t; m t,r,l,k is the water flow rate of the secondary heat network connected to the kth heat load of the lth heat exchange station of the rth thermal power plant at time t; They are the supply water temperature and return water temperature of the heat load side of the secondary heat network pipeline connected to the kth heat load of the lth heat exchange station of the rth thermal power plant at time t; Thermal power balance constraints: In the formula, is the thermal power after heat exchange at the lth heat exchange station of the rth thermal power plant at time t, is t+τ r The thermal power of the kth heat load carried by the lth heat exchange station of the rth thermal power plant at the moment; ΔQ t,r,l,p is the heat loss of the pth secondary heat network pipeline in the lth heat exchange station of the rth thermal power plant at time t; M r,l is the number of pipelines in the secondary heat network of the lth heat exchange station in the rth thermal power plant; r,l is the heat load of the lth heat exchange station in the rth thermal power plant; τ r,l,k It is the transmission delay time of the heat from the lth heat exchange station of the rth thermal power plant to the kth heat load of the lth heat exchange station of the rth thermal power plant.

7. A dispatching method for improving the new energy consumption capacity in high-cold areas according to claim 2, characterized in that: Conventional constraints of the power system include active power balance constraints, thermal power unit output constraints, and thermal power unit output constraints; Active power balance constraints: In the formula, is the electric power of the i-th thermal power unit in the r-th thermal power plant; is the electric power of the i-th thermal power unit in the h-th thermal power plant; is the charging and discharging power of the i-th energy storage device; is the electric load power of the nth load node; N is the number of electrical load nodes; N IESS is the number of energy storage power stations in the system; N EB is the number of electric boilers in the system, is the electric power of the i-th wind farm, is the electric power of the i-th photovoltaic power station, is the electric power of the i-th electric boiler, are all 0-1 variables, representing the start and stop status of the i-th electric boiler and the i-th electric energy storage device respectively; Output constraints of thermal power units: In the formula, is the electric power of the i-th thermal power unit in the h-th thermal power plant; The upper and lower limits of the power of the i-th thermal power unit in the h-th thermal power plant; Output constraints of thermal power units: In the formula, is the electric power of the i-th thermal power unit in the r-th thermal power plant; D t,r,i is the heating steam extraction rate of the i-th thermal power unit in the r-th thermal power plant; The upper and lower limits of the steam extraction rate for the heat supply of the i-th thermal power unit in the r-th thermal power plant; b is the upper and lower limits of the power of the i-th thermal power unit in the r-th thermal power plant; L , b H It is the electric-to-heat ratio of the thermal power unit under back pressure conditions and maximum condensation conditions.

8. A dispatching method for improving the new energy consumption capacity in high-cold areas according to claim 7, characterized in that: Electric boiler constraints: In the formula, is the thermal power of the i-th electric boiler, is the operating power of the i-th electric boiler; η is the electric-to-heat conversion efficiency of the electric boiler; are the upper and lower limits of the electric power of the i-th electric boiler respectively; are the upper and lower limits of the thermal output of the i-th electric boiler respectively.

9. A dispatching method for improving the new energy consumption capacity in high-cold areas according to claim 8, characterized in that: Constraints of electric energy storage device: In the formula, are the upper and lower limits of the electric power of the i-th electric energy storage device respectively.

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