CN108280556B - Power supply quantity two-stage optimization scheduling method based on thermal load adjustment - Google Patents

Power supply quantity two-stage optimization scheduling method based on thermal load adjustment Download PDF

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CN108280556B
CN108280556B CN201810282637.2A CN201810282637A CN108280556B CN 108280556 B CN108280556 B CN 108280556B CN 201810282637 A CN201810282637 A CN 201810282637A CN 108280556 B CN108280556 B CN 108280556B
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CN108280556A (en
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周任军
王仰之
陈溢
武浩然
许福鹿
王珑
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Changsha University of Science and Technology
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Abstract

The invention discloses a power supply amount two-stage optimization scheduling method based on thermal load adjustment, which comprises the following steps: s1, a day-ahead scheduling stage: predicting the next day load and the wind power output, and obtaining a heat supply scheduling plan for adjusting the wind power heat supply according to the heat supply required by the target supply area; s2, a real-time scheduling stage: and supplying heat to the target supply area according to the heat supply scheduling plan, and adjusting the heat load in a preset range in real time so as to perform real-time optimized scheduling on the heat supply. The method is simple, can realize heat supply scheduling by considering heat load adjustment, improves the adjustment capacity and the heat supply performance of the thermoelectric unit, improves the heat supply utilization rate and reduces the environmental pollution.

Description

Power supply quantity two-stage optimization scheduling method based on thermal load adjustment
Technical Field
The invention relates to the technical field of wind power heat supply, in particular to a power supply quantity two-stage optimization scheduling method based on heat load adjustment.
Background
At present, the central heating of China usually adopts a mode of heating by a thermoelectric unit, the thermoelectric unit generally operates in a mode of 'heating and fixing power by heat', the output of the thermoelectric unit depends on the heating load, and the adjustment capacity of the electric output of the thermoelectric unit is greatly limited in the heating period in winter. The wind power additional electric boiler and the thermal power plant supply heat together, so that the thermoelectric decoupling of the thermal power plant unit is realized, the electric output of the thermal power plant unit does not depend on the required heat load any more, and the regulating capacity of the thermal power plant unit in the winter heating season can be improved. At present, wind power, an electric boiler and a thermal power plant are generally combined into a wind-electricity-thermal power plant, so that the regulation capacity of a wind power plant can be improved, and the deviation between the output declared day before and the actual output of a virtual power plant can be reduced through the optimized scheduling of the internal thermal load of the combined power plant, so that the punishment cost is reduced.
The electric power markets corresponding to the two-stage optimized dispatching are a day-ahead electric power market and a real-time auxiliary balance market respectively, in the day-ahead electric power market, a day-ahead 24-hour electricity selling price is published, the power plant can declare own electricity output according to the 24-hour electricity selling price, and in the real-time auxiliary balance market, if the actual output of the power plant is greater than the declared output, the redundant output can sell the part of electric quantity at an electric power price (lower electricity price) lower than the day-ahead electric power price; if the actual power plant output is less than the declared output, the insufficient output must be purchased at a price higher than the day-ahead power price (the upturn price). The upper-layer dispatching center is used as an information center of the wind-electricity-thermal power plant and is responsible for predicting next-day load and wind power output according to weather and historical conditions, regulating wind power heat supply under the condition of ensuring heat load supply according to information such as day-ahead market electricity price and carbon emission price, making a day-ahead dispatching plan of the power plant with the maximum income target and reporting the day-ahead dispatching plan to a power grid; the wind power output has volatility, so that factors such as the upper and lower electricity prices, the fuel cost, the wind power output deviation amount, the heat load adjustable amount and the like in a real-time auxiliary balance market are comprehensively considered by an upper-layer dispatching center in real-time dispatching, a corresponding real-time dispatching plan is formulated, and the output of the wind-electricity-thermal power plant is adjusted by changing the wind power heat supply amount and the heat load adjustable amount so as to realize the maximum benefit.
However, when the real-time scheduling is performed at present, the temperature inside a heat supply area is always kept unchanged when the wind-electricity-thermal power plant supplies heat, the heat supply amount of the wind-electricity-thermal power plant depends on the heat required when the indoor temperature is kept unchanged, the heat supply load is not adjustable, a human body has certain adaptive capacity to the temperature, the comfort level of the human body cannot be obviously influenced when the indoor temperature is adjusted within a certain range, the heat load is fixed in a mode of causing energy waste, the electric output of a heat supply unit is limited by the heat supply load and cannot be adjusted to obtain the optimal output, and the adjustment performance of the thermal power unit is influenced.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the technical problems in the prior art, the invention provides the heat load regulation-based power supply quantity two-stage optimization scheduling method which is simple in implementation method, can realize heat supply scheduling by considering heat load regulation, and is strong in regulating capacity, good in heat supply performance, high in heat supply utilization rate and small in environmental pollution of a thermoelectric unit.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
a power supply amount two-stage optimization scheduling method based on thermal load adjustment comprises the following steps:
s1, a day-ahead scheduling stage: predicting the load of the next day and the wind power output, and determining a heat supply scheduling plan for adjusting the wind power heat supply load of the next day according to the heat supply load required by the target supply area;
s2, a real-time scheduling stage: and supplying heat to the target supply area according to the heat supply scheduling plan, and adjusting the heat load in a preset range in real time so as to perform real-time optimized scheduling on the heat supply.
As a further improvement of the invention: in step S2, the heat load is adjusted according to one or more of the real-time electricity price, the carbon emission penalty, the fuel cost of the thermal power plant, the heat load adjustable quantity, the real-time auxiliary balance market up-down electricity price, and the wind power output deviation, so as to adjust the output of the wind-power-thermal power plant, thereby maximizing the actual profit of the wind-power-thermal power plant.
As a further improvement of the present invention, the actual profit of the wind-electricity-thermal power plant is calculated as follows:
max fre＝Ie'+I'h-Cc'o2-C'fu-C'PE
Figure BDA0001615088450000021
wherein f isreFor real-time scheduling of revenue of wind-electric-thermal power plants, I'h、Ie'、Cc'o2、C'fu、C'PEThe heat load regulation subsidies given to users for the wind-electricity-thermal power plant heat sales income, electricity sales income, carbon emission punishment, fuel cost and unit temperature change during real-time scheduling are respectively, hi、Ti'nRespectively, a subsidy of a user considering a unit indoor temperature variation upon heat load adjustment and an indoor temperature, Pgap、IgapDispatching the unbalanced output of the wind-thermal power plant and the sales income or purchase expense, k, of the part of the output in real timee' is the electricity price in the real-time market.
As a further improvement of the invention: the step S2 further includes predicting wind power output within the current specified time period, and adjusting the thermal load amount by synthesizing the predicted wind power output.
As a further improvement of the invention: in the step S2, temperature upper and lower limits for restricting the lowest temperature value and the highest temperature value of the target heat supply area are also set, that is, the heat load is adjusted according to the set upper and lower limits for the indoor temperature.
As a further improvement of the invention: in step S2, the thermal user determines the required thermal load adjustment amount.
As a further improvement of the invention: the heat load scheduling plan in step S1 specifically determines the heat load according to the prediction data to determine the output of the wind-power-thermal power plant, so that the predicted profit of the wind-power-thermal power plant is maximized.
As a further improvement of the invention: in step S1, weather data of the next day is predicted according to weather history data in a time period specified in advance, and an output plan of the next day wind-electricity-thermal power plant is determined by integrating the next day electricity price, the carbon emission price, the thermal load, the wind power output, and the fuel cost of the thermal power plant, so as to obtain a heating load scheduling plan of the next day.
As a further improvement of the present invention, the prediction profit is specifically calculated according to the following formula:
max fda＝Ie+Ih-Cco2-Cfu
wherein f isdaFor the expected revenue in day-ahead scheduling strategies, Ie、IhRespectively for electricity sales benefits and heat sales benefits, Cco2With carbon emission penalty, CfuThe fuel cost consumed by the thermal power plant is satisfied:
Figure BDA0001615088450000031
Figure BDA0001615088450000032
wherein, PG、PWTotal output, P, of thermal power plant, wind farm, respectivelyGe、PGhElectric and thermal outputs, P, of the thermal power plant, respectivelyWe、PWhThe electric output of the wind power plant and the heat output of the wind power plant generated by the boiler are respectively, eta is the electric heat exchange efficiency of the electric boiler, and delta and lambda are the heat exchange coefficient of the electric boiler and the thermoelectric ratio of the thermal power plant respectively; k is a radical ofeAnd (t) is the current time interval electricity price, e and omega are the carbon emission amount and the carbon emission punishment coefficient of the unit energy production of the thermal power plant respectively, and a, b and c are the unit energy consumption coefficients of the thermal power plant after the energy consumption function of the thermal power plant is fitted into a quadratic function.
Compared with the prior art, the invention has the advantages that:
1) the invention realizes the optimized dispatching of the heat supply of the thermal power plant based on a day-ahead and real-time two-stage optimized dispatching mode, simultaneously considers that a human body has certain adaptive capacity to the temperature, takes the heat load as an adjustable load, realizes the regulation of the heat load by regulating the heat supply temperature in a proper range, can ensure the heat supply demand, further improves the regulation capacity on the basis of thermoelectric decoupling, simultaneously reduces energy waste, improves the energy utilization rate, further can reduce the deviation of the day-ahead reported output and the real-time output of the wind-electricity-thermal power plant, reduces the punishment cost, improves the peak regulation capacity of the wind-electricity-thermal power plant, and realizes that the wind-electricity-thermal power plant obtains greater benefit in a real-time auxiliary balance market.
2) The invention realizes the optimized scheduling of the heat supply load of the thermal power plant based on the two-stage optimized scheduling, can better adjust the electric output of the wind-electricity-thermal power plant during the real-time scheduling by adjusting the heat load, can obtain higher income in the actual production operation, can obtain certain heat adjustment compensation for the heat users participating in the adjustment while meeting the heat supply requirement, can effectively improve the utilization rate of energy, and reduce the carbon emission and the coal consumption, thereby relieving the greenhouse effect and reducing the generation of haze in the heating season.
3) The invention further adjusts the heat load according to the real-time electricity price, the carbon emission punishment, the fuel cost of the thermal power plant, the heat load adjustable quantity, the up-down electricity price in the real-time auxiliary balance market, the wind power output deviation quantity and the like to adjust the output of the wind-electricity-thermal power plant, so that the actual income of the wind-electricity-thermal power plant is maximized, and the actual income maximization is realized by combining the reasonable adjustment of the heat load on the basis of ensuring the heat supply performance.
4) The invention further calculates the maximum profit by integrating various factors such as regulation subsidy provided by the heat load, wind-electricity-thermal power plant profit, electricity price and the like in a real-time dispatching mode on the basis of considering the heat load regulation, and determines the required heat load regulation amount based on the maximum profit, thereby effectively improving the regulation performance and the heat supply utilization rate of the thermoelectric unit and ensuring the realization of the optimal heat supply performance.
5) In the day-ahead scheduling mode, the optimal prediction heat supply plan is provided by combining various factors such as the output of a thermal power plant and a wind power plant, the efficiency of an electric boiler, environmental pollution and the like, and the optimal heat supply performance on the next day is ensured.
Drawings
Fig. 1 is a schematic flow chart of an implementation of a power supply amount two-stage optimization scheduling method based on thermal load adjustment according to the embodiment.
Fig. 2 is a schematic diagram of the heating principle of the wind-electricity-thermal power plant based on thermal load regulation according to the embodiment.
Detailed Description
The invention is further described below with reference to the drawings and specific preferred embodiments of the description, without thereby limiting the scope of protection of the invention.
As shown in fig. 1, the present embodiment of a power supply amount two-stage optimization scheduling method based on thermal load adjustment includes the steps of:
s1, a day-ahead scheduling stage: predicting the next day load and the wind power output, and obtaining a heat supply scheduling plan for adjusting the wind power heat supply according to the heat supply required by the target supply area;
s2, a real-time scheduling stage: and supplying heat to the target supply area according to the heat supply scheduling plan, and adjusting the heat load in a preset range in real time so as to perform real-time optimized scheduling on the heat supply.
The embodiment realizes the optimized scheduling of the heat supply of the thermal power plant based on a day-ahead and real-time double-stage optimized scheduling mode, simultaneously considers that a human body has certain adaptive capacity to temperature, takes the heat load as an adjustable load, realizes the adjustment of the heat load by adjusting the heat supply temperature in a proper range, can ensure the heat supply demand, further improves the adjustment capacity of the thermal power unit on the basis of thermoelectric decoupling, simultaneously reduces energy waste, improves the energy utilization rate, further can reduce the deviation of the day-ahead reported output and the real-time output of the wind-electricity-thermal power plant, reduces punishment cost, improves the peak regulation capacity of the wind-electricity-thermal power plant, and realizes that the wind-electricity-thermal power plant obtains greater benefit in a real-time auxiliary balance market.
This embodiment is through adjusting the heat load for its electric power of regulation that wind-electricity-steam power plant can be better when real-time scheduling, makes and to obtain higher profit in the actual production operation, simultaneously to the hot user who participates in the regulation, when satisfying the heat supply demand, can also obtain certain thermal regulation compensation, can effectively improve the utilization ratio of the energy, reduce carbon emission and coal consumption, thereby alleviate greenhouse effect, reduce the production of heating season haze.
As shown in fig. 2, since the human body has a certain adaptive capacity to the temperature, the indoor temperature can be adjusted within a certain range without significantly affecting the comfort of the human body, and the present embodiment regards the heat supply load as an adjustable load, which can improve the adjusting capacity and energy utilization rate of the thermoelectric unit and make the wind-electricity-thermal power plant obtain greater benefit in the real-time auxiliary balance market, compared with the conventional method in which the temperature inside the building is always kept constant when the wind-electricity-thermal power plant supplies heat to the city.
The heat load is a heat supply load, and based on energy conservation, a heat balance equation of urban buildings and the like can be obtained as follows:
Figure BDA0001615088450000051
in the formula: Δ Q, ρ, C, V are the variation of indoor heat energy, air density, indoor air specific heat capacity and indoor air volume, TinIs the room temperature.
The influence on the indoor temperature change includes various factors such as outdoor temperature, solar radiation, and output power of the heating device, and the indoor temperature change rate can be expressed as:
Figure BDA0001615088450000052
in the formula, kwall×Fwall×(Tout-Tin) Representing heat dissipated through the building wall, where kwallThe heat transfer coefficient of a building wall represents the heat dissipated through the wall per second when the indoor and outdoor temperatures differ by 1 degree, FwallIs the total area of the building wall (T)out-Tin) Is the indoor and outdoor temperature difference; k is a radical ofwin×Fwin×(Tout-Tin) Representing heat dissipated through the building's exterior window, where Kwin、FwinRespectively the heat transfer coefficient and the area of the building external window; i x Fwin×SCHeat transfer for solar thermal radiation, I, SCRespectively the solar radiation power and the solar shading coefficient, PhThe total amount of heat provided to the building by the electric boiler and the thermal power plant.
Considering that the indoor temperature varies within a range of alpha, i.e. the indoor temperature can be based on wind-electricity-heatThe scheduling requirement of the power plant is adjusted within a certain range, so that the heat supply load can be regarded as an adjustable load to participate in real-time scheduling, and the actual total heat P provided by the electric boiler and the thermal power plant for the buildingh' may be expressed as:
Ph'＝Ph-Phcharng(3)
in the formula, PhchargeFor regulating the thermal load, PhThe heat supply quantity of the wind-electricity-thermal power plant to the building when the temperature of the building is not adjusted is not considered.
In this embodiment, the heat supply scheduling plan in step S1 specifically predicts the meteorological data of the next day according to the meteorological historical data in the first specified time period, and determines the output plan of the next-day wind-electricity-thermal power plant by integrating the next-day electricity price, the carbon emission price, the thermal load, the wind power output, the fuel cost of the thermal power plant, and the like, so as to obtain the heat supply scheduling plan of the next day, so as to obtain the optimal output prediction of the thermal power plant.
In this embodiment, the predicted profit is specifically calculated according to the following formula:
max fda＝Ie+Ih-Cco2-Cfu(4)
wherein f isdaFor the expected revenue in day-ahead scheduling strategies, Ie、IhRespectively for electricity sales benefits and heat sales benefits, Cco2With carbon emission penalty, CfuThe fuel cost consumed by the thermal power plant is satisfied:
Figure BDA0001615088450000061
Figure BDA0001615088450000062
wherein, PG、PWTotal output, P, of thermal power plant, wind farm, respectivelyGe、PGhElectric and thermal outputs, P, of the thermal power plant, respectivelyWe、PWhThe electric output of the wind power plant and the heat output of the wind power plant generated by the boiler are respectively, eta is the electric heat exchange efficiency of the electric boilerDelta and lambda are respectively the heat exchange coefficient of the electric boiler and the thermoelectric ratio of the thermal power plant; k is a radical ofeAnd (t) is the current time interval electricity price, e and omega are the carbon emission amount and the carbon emission punishment coefficient of the unit energy production of the thermal power plant respectively, and a, b and c are the unit energy consumption coefficients of the thermal power plant after the energy consumption function of the thermal power plant is fitted into a quadratic function.
By adopting the day-ahead scheduling mode, the optimal prediction heat supply plan can be provided by combining various factors such as the output of a thermal power plant and a wind power plant, the efficiency of an electric boiler, environmental pollution and the like, and the optimal heat supply performance is ensured.
In the embodiment, in the day-ahead scheduling, a wind power plant, an electric boiler and a thermal power plant are combined into a wind-electricity-thermal power plant, the day-ahead optimal reported output is submitted to an upper-level power grid by reasonably adjusting the wind power heat supply proportion in the day-ahead scheduling, and the upper-level scheduling center comprehensively considers various factors such as the daily generated energy specified by the power grid scheduling, the predicted fuel cost of the wind power output and the like to formulate a day-ahead scheduling strategy capable of maximizing the expectation of the wind-electricity-thermal power plant and report the scheduling strategy to the power grid.
In this embodiment, in step S2, the heat load amount is specifically adjusted according to the real-time electricity price, the carbon emission penalty, the fuel cost of the thermal power plant, the heat load adjustable amount, the up-down electricity price in the real-time auxiliary balance market, the wind power output deviation amount, and the like, so as to adjust the output of the wind-power-thermal power plant, so that the actual profit of the wind-power-thermal power plant is maximized, and the actual profit maximization is realized by combining with the reasonable adjustment of the heat load on the basis of ensuring the heat supply performance.
Because the adjustment of the heat load is considered in the real-time scheduling, the above equations (2) and (3) can indicate that the indoor temperature of the building changes, so that a certain heat load adjustment subsidy needs to be given to a heat user, and the maximum actual benefit of the wind-power-thermal power plant in the real-time scheduling of the embodiment is specifically calculated according to the following formula:
Figure BDA0001615088450000071
wherein f isreFor real-time scheduling of revenue of wind-electric-thermal power plants, I'h、Ie'、Cc'o2、C'fu、C'PEThe heat load regulation subsidies given to users for the wind-electricity-thermal power plant heat sales income, electricity sales income, carbon emission punishment, fuel cost and unit temperature change during real-time scheduling are respectively, hi、Ti'nRespectively, a subsidy of a user considering a unit indoor temperature variation upon heat load adjustment and an indoor temperature, Pgap、IgapDispatching the unbalanced output of the wind-thermal power plant and the sales income or purchase expense, k, of the part of the output in real timee'is the electricity price in the real-time market, and the' identification corresponds to the parameter under real-time scheduling.
By adopting the real-time scheduling mode, on the basis of considering heat load adjustment, the maximum benefit is calculated by integrating various factors such as adjustment subsidies provided by the heat load, wind-electricity-thermal power plant benefits, electricity price and the like, and the required heat load adjustment amount is determined based on the maximum benefit, so that the adjustment performance and the heat supply utilization rate of the thermoelectric unit can be effectively improved, and the optimal heat supply performance is guaranteed to be realized.
In the real-time market, the part of the wind-electricity-heat power plant exceeding the future declared output needs to be lower than the reduced electricity price k of the future marketdownSelling in a real-time auxiliary balance market; the part with insufficient output needs to be adjusted to the upper adjusting electricity price k higher than the day-ahead marketupThe price is purchased in a real-time auxiliary balance market, and the price is adjusted up and down in the real-time market and is determined according to the competitive price in the auxiliary balance market at that time. The electricity rate in the real-time scheduling can be expressed by the following method:
Figure BDA0001615088450000081
correspondingly, the selling or purchasing costs I of the unbalanced forces in the real-time schedulinggapThe expression is as follows:
Figure BDA0001615088450000082
as shown in the above formula, when the real-time output is greater than the day aheadReporting unbalanced force PgapNegative, this part of the output can be sold at a lower price in the secondary equilibrium market; unbalanced output P when real time output is less than the output declared earlier in the daygapPositive, this portion of the output must be purchased at a higher price in the secondary balance market. In the real-time scheduling of the embodiment, factors such as up-down electricity price, fuel cost, adjustable heat load and the like in a real-time auxiliary balance market are comprehensively considered by the wind-power-thermal power plant, so that unbalanced output which can obtain the maximum benefit is obtained, and the optimal heat supply performance is realized.
In this embodiment, step S2 further includes predicting the wind power output within the current specified time period, and adjusting the thermal load amount by synthesizing the predicted wind power output. Under the real-time scheduling, the upper-layer scheduling center performs optimized scheduling on the wind-electricity-thermal power plant according to ultra-short-term wind power output prediction and real-time auxiliary balance market electricity price, and timely adjusts the output of the thermal power plant, the power of an electric boiler and adjustable heat load capacity, so that the purpose of maximum actual benefit is achieved.
In this embodiment, step S2 further sets temperature upper and lower limits for restricting the lowest temperature value and the highest temperature value of the target heat supply area, that is, adjusts the thermal load according to the set upper and lower limits for the indoor temperature. In particular, the indoor temperature T can be setinAnd (3) satisfying the constraint: t ismin≤Tin≤TmaxWherein T ismin、TmaxRespectively the lowest and highest values of the indoor temperature, regulating the heat load according to the upper and lower limits of the indoor temperature, reasonably evaluating the influence of the indoor temperature change on the scheduling, and further introducing different temperature allowable change ranges alpha, wherein the indoor temperature change range is Tin-α～Tin+α。
In other embodiments, the thermal user may also determine the required thermal load adjustment amount directly in step S2. For example, in large-scale heat supply, the thermal demand side response can be implemented by referring to the adjustment mode of the electric demand side response, so that a heat load user can voluntarily participate in the adjustment process of the heat load, the heat load adjustment is not passive adjustment any more, and the heat load user can comprehensively consider the heat load adjustment compensation to select the adjustment range of the indoor temperature to obtain certain adjustment compensation; modes such as excitation type heating power demand side response and price type heating power demand side response can also be adopted through the heating power plant to make the heat consumer participate in the heat load and adjust, the effect that the heat load was adjusted can be further improved, thereby very big reduction energy consumption and reduction haze, reduction coal consumption.
The foregoing is considered as illustrative of the preferred embodiments of the invention and is not to be construed as limiting the invention in any way. Although the present invention has been described with reference to the preferred embodiments, it is not intended to be limited thereto. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical spirit of the present invention should fall within the protection scope of the technical scheme of the present invention, unless the technical spirit of the present invention departs from the content of the technical scheme of the present invention.

Claims (5)

1. A power supply amount two-stage optimization scheduling method based on thermal load adjustment is characterized by comprising the following steps:
s1, a day-ahead scheduling stage: predicting the next day load and the wind power output, and determining a heat supply scheduling plan for adjusting the wind power heat supply amount the next day according to the heat supply amount required by the target supply area, the output of the thermal power plant and the wind power plant, the efficiency of the electric boiler and environmental pollution factors, so as to obtain the optimal heat power plant output prediction;
s2, a real-time scheduling stage: heating the target supply area according to the heating load scheduling plan, and adjusting the heat load in a preset range in real time to perform real-time optimized scheduling on the heating load;
in the step S1, weather data of the next day is predicted according to weather historical data in a specified time period, and an output plan of the next day wind-electricity-thermal power plant is determined by integrating the electricity price of the next day, the carbon emission price, the thermal load, the wind power output and the fuel cost of the thermal power plant, so as to obtain a heating load scheduling plan of the next day;
in the step S2, the heat load amount is specifically adjusted according to one or more of the real-time electricity price, the carbon emission penalty, the fuel cost of the thermal power plant, the heat load adjustable amount, the up-down electricity price in the real-time auxiliary balance market, and the wind power output deviation amount, so as to adjust the output of the wind-power-thermal power plant, thereby maximizing the actual profit of the wind-power-thermal power plant;
the step S2 further includes predicting wind power output within the current specified time period, and adjusting the thermal load capacity by synthesizing the predicted wind power output, wherein upper and lower limits of indoor temperature are further set to constrain the lowest temperature value and the highest temperature value of the target heat supply area, that is, the thermal load capacity is adjusted according to the set upper and lower limits of indoor temperature.
2. The method for the two-stage optimized scheduling of the power supply amount based on the thermal load regulation as claimed in claim 1, wherein the actual profit of the wind-electricity-thermal power plant is calculated according to the following formula:
max fre＝I′e+I′h-C′co2-C′fu-C′PE
Figure FDA0003392222080000011
wherein f isreFor real-time scheduling of revenue of wind-electric-thermal power plants, I'h、I′e、C′co2、C′fu、C′PEThe heat load regulation subsidies given to users for the wind-electricity-thermal power plant heat sales income, electricity sales income, carbon emission punishment, fuel cost and unit temperature change during real-time scheduling are respectively, hi、T′inRespectively, a subsidy of a user considering a unit indoor temperature variation upon heat load adjustment and an indoor temperature, Pgap、IgapScheduling in real time the unbalanced contribution of the wind-thermal power plant and the sales revenue or purchase cost, k ', of the part of the contribution'eFor electricity prices in the real-time market, IhFor sale of heat, PGeFor electric power of thermal power plants, PWeFor the electric output of the wind power plant, a, b and c are the unit energy consumption coefficients of the thermal power plant after fitting the energy consumption function of the thermal power plant into a quadratic function, and e and omega (t) are the carbon emission and carbon emission punishment coefficients of the unit energy production of the thermal power plant respectively.
3. The method for two-stage optimized scheduling of power supply amount based on thermal load adjustment according to claim 1, wherein the required thermal load adjustment amount is determined by the thermal user in step S2.
4. The power supply amount two-stage optimization scheduling method based on thermal load regulation according to any one of claims 1 to 3, characterized in that: the heat load scheduling plan in step S1 specifically determines the heat load according to the prediction data to determine the output of the wind-power-thermal power plant, so that the predicted profit of the wind-power-thermal power plant is maximized.
5. The method according to claim 4, wherein the predicted profit is calculated according to the following formula:
max fda＝Ie+Ih-Cco2-Cfu
wherein f isdaFor the expected revenue in day-ahead scheduling strategies, Ie、IhRespectively for electricity sales benefits and heat sales benefits, Cco2With carbon emission penalty, CfuThe fuel cost consumed by the thermal power plant is satisfied:
Figure FDA0003392222080000021
Figure FDA0003392222080000022
wherein, PG、PWTotal output, P, of thermal power plant, wind farm, respectivelyGe、PGhElectric and thermal outputs, P, of the thermal power plant, respectivelyWe、PWhThe electric output of the wind power plant and the heat output of the wind power plant generated by the boiler are respectively, eta is the electric heat exchange efficiency of the electric boiler, and delta and lambda are the heat exchange coefficient of the electric boiler and the heat of the thermal power plant respectivelyAn electrical ratio; k is a radical ofeAnd (t) is the current time interval electricity price, e and omega are the carbon emission amount and the carbon emission punishment coefficient of the unit energy production of the thermal power plant respectively, and a, b and c are the unit energy consumption coefficients of the thermal power plant after the energy consumption function of the thermal power plant is fitted into a quadratic function.
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