CN-122000956-A - Thermoelectric collaborative scheduling method, system, medium and equipment based on heat supply source network integration adjustment

CN122000956ACN 122000956 ACN122000956 ACN 122000956ACN-122000956-A

Abstract

The invention discloses a thermoelectric collaborative scheduling method, a thermoelectric collaborative scheduling system, a thermoelectric collaborative scheduling medium and thermoelectric collaborative scheduling equipment based on heat supply source network integration adjustment, and belongs to the technical field of power grid scheduling. The method comprises the steps of firstly predicting the power generation electric load, the heat load and the heat supply backwater temperature in a set time scale to obtain a prediction result, evaluating whether the unit has a thermal decoupling contradiction under a conventional heat supply mode and a current predicted thermoelectric load according to the prediction result and the thermoelectric output characteristic of the unit, listing all heat supply mode combinations meeting power generation-heat supply requirements under the current electric load-heat load-backwater temperature prediction condition if the thermal decoupling contradiction exists, calculating the overall power generation-heat supply benefits of the whole plant under different heat supply modes, and finally outputting a thermoelectric cooperative scheduling strategy with optimal economic benefit. The invention regards the heat supply network system and the heat source system as a whole, relies on the strong heat storage capacity of the heat supply network system, plays a role in adjusting the heat supply network, and simultaneously improves the triple capacities of power generation, heat supply and flexibility peak regulation.

Inventors

HOU JIANJUN
WANG MAOLIN
FAN XIAOYING
FANG XIAOWEN
YANG JIANSHE
Guo Jiangben
Nie Binyu
YIN JUN
LIU XING
LU JUNCHAO
YUE YONGHONG
FU XILIANG
XIE LIAN
WU HAO
LU JIANBIN
LI RANSHENG
Xiao Geyuan
MENG HAO
WANG GUOKAI
SUN YANPING
SUN LI
SUN LIDE

Assignees

内蒙古京能盛乐热电有限公司
北京京能电力股份有限公司

Dates

Publication Date: 20260508
Application Date: 20240511

Claims (10)

1. A thermoelectric cooperative scheduling method based on heat supply source network integration adjustment is characterized by comprising the following steps: Based on a power grid system historical power generation dispatching instruction, historical weather and a heat supply network dispatching historical instruction, predicting power generation electric load, heat load and heat supply backwater temperature in a set time scale to obtain a prediction result; according to the prediction result and the thermoelectric output characteristics of the unit, whether the unit has a thermal decoupling contradiction under the conventional heating mode and the current predicted thermoelectric load is evaluated, and an evaluation result is obtained; When the evaluation result is that the thermal decoupling contradiction exists, enumerating all heat supply mode combinations of the heat supply machine group, and determining all heat supply mode combinations meeting the power generation-heat supply requirements under the current electric load-heat load-backwater temperature prediction condition according to the thermoelectric output characteristics existing in each heat supply mode; and (3) constructing an optimal scheduling benefit calculation model with the optimal whole plant benefit as a target, calculating the overall power generation-heat supply benefits of the whole plant under different heat supply modes, and finally outputting a thermoelectric cooperative scheduling strategy with optimal economic benefit.
2. The heat and power source network integration adjustment-based thermoelectric collaborative scheduling method according to claim 1, wherein the prediction result is obtained by predicting a power generation electric load, a heat load and a heat supply backwater temperature in a set time scale based on a power grid system historical power generation scheduling instruction, a historical weather and a heat supply network scheduling historical instruction, and specifically comprises: The power generation load is predicted by a power grid system historical power generation dispatching instruction, the heat load and the return water temperature are predicted by a historical weather and heat supply network dispatching historical instruction, and the predicted data of the power generation, heat supply and heat supply network return water temperatures in 96 time periods in the whole day are predicted by taking every 15 minutes as a load prediction time unit.
3. The heat supply source network integrated adjustment-based thermoelectric collaborative scheduling method according to claim 1 is characterized in that the heat supply mode combination comprises at least one of punching steam extraction, cylinder cutting and high back pressure, wherein the punching steam extraction and heat supply thermoelectric operation is a two-dimensional operation domain and is surrounded by a boiler maximum output boundary line, a boiler minimum output boundary line and a low pressure cylinder minimum safe steam discharge flow boundary line, the heat extraction characteristics of the cylinder cutting operation mode are similar to a straight line, the heat load corresponds to the electric load one by one, the heat extraction characteristics of the high back pressure heat supply are affected by the water return temperature, and the lower the water return temperature is, the more the high back pressure steam discharge waste heat utilization is sufficient.
4. The heat and power collaborative scheduling method based on heat supply source network integration adjustment according to claim 1, wherein the heat supply mode combination further comprises different heat supply network conveying modes, and on the basis of quality adjustment, three modes of maintaining the heat supply network circulating water flow unchanged, increasing the heat supply network circulating water flow and reducing the heat supply network circulating water flow are included.
5. The heat and power source network integration adjustment-based thermoelectric collaborative scheduling method according to claim 1, wherein the construction of an optimized scheduling benefit calculation model targeting the optimization of the whole plant benefit, calculates the overall power generation-heat supply benefit of the whole plant in different heat supply modes, and specifically comprises the following steps: Using the formula Calculating generation benefits Wherein, the method comprises the steps of, Is that The generation benefit of the moment of time, Is the total time; Using the formula Calculating heating benefits Wherein, the method comprises the steps of, 、 The heat supply price for different heat supply modes is provided, 、 The heat supply quantity of different heat supply modes is provided; Using the formula Calculating coal consumption cost Wherein, the method comprises the following steps of, Is the first The coal consumption cost of the machine set, The total machine group number of the power generation enterprises; Using the formula Calculating the operation cost of auxiliary machine Wherein, the method comprises the steps of, Is the first The operation cost of the auxiliary machine is high, The auxiliary machine quantity of the power generation enterprises; optimizing scheduling benefit calculation model with whole plant benefit optimization as target Calculating the overall power generation-heat supply benefits of the whole plant under different heat supply modes 。
6. A coordinated heat and power dispatching system based on integrated regulation of a heat supply source network, comprising: The thermoelectric load prediction module is used for predicting the power generation electric load, the heat load and the heat supply backwater temperature in a set time scale based on the historical power generation scheduling instruction, the historical weather and the heat supply network scheduling historical instruction of the power grid system to obtain a prediction result; The thermal decoupling contradiction assessment module is used for assessing whether the thermal decoupling contradiction exists in the unit under the conventional heating mode and the current predicted thermoelectric load according to the predicted result and the thermoelectric output characteristics of the unit, so as to obtain an assessment result; The heat supply mode exhaustion module is used for enumerating all heat supply mode combinations of the heat supply machine group when the evaluation result is that the thermal decoupling contradiction exists, and determining all heat supply mode combinations meeting the power generation-heat supply requirements under the current electric load-heat load-backwater temperature prediction condition according to the thermoelectric output characteristics of each heat supply mode; And the profit optimal scheduling module is used for constructing an optimal scheduling profit calculation model aiming at optimizing the profit of the whole plant, calculating the overall power generation-heat supply profit of the whole plant under different heat supply modes and finally outputting a thermoelectric cooperative scheduling strategy with optimal economic benefit.
7. The heat and power integration adjustment-based thermoelectric collaborative scheduling system according to claim 6, wherein the thermoelectric load prediction module is specifically configured to: The power generation load is predicted by a power grid system historical power generation dispatching instruction, the heat load and the return water temperature are predicted by a historical weather and heat supply network dispatching historical instruction, and the predicted data of the power generation, heat supply and heat supply network return water temperatures in 96 time periods in the whole day are predicted by taking every 15 minutes as a load prediction time unit.
8. The heat and power source integration adjustment-based thermoelectric collaborative scheduling system according to claim 6, wherein the revenue optimization scheduling module is specifically configured to: Using the formula Calculating generation benefits Wherein, the method comprises the steps of, Is that The generation benefit of the moment of time, Is the total time; Using the formula Calculating heating benefits Wherein, the method comprises the steps of, 、 The heat supply price for different heat supply modes is provided, 、 The heat supply quantity of different heat supply modes is provided; Using the formula Calculating coal consumption cost Wherein, the method comprises the following steps of, Is the first The coal consumption cost of the machine set, The total machine group number of the power generation enterprises; Using the formula Calculating the operation cost of auxiliary machine Wherein, the method comprises the steps of, Is the first The operation cost of the auxiliary machine is high, The auxiliary machine quantity of the power generation enterprises; optimizing scheduling benefit calculation model with whole plant benefit optimization as target Calculating the overall power generation-heat supply benefits of the whole plant under different heat supply modes ; According to And finally, determining a thermoelectric cooperative scheduling strategy with optimal economic benefit so as to guide operators.
9. A non-transitory computer readable storage medium having stored thereon computer instructions that when executed by a processor implement the heat and power co-scheduling method based on heat source network integration adjustment of any one of claims 1-5.
10. An electronic device comprising a memory and a processor, the memory and the processor being communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the heat and power co-scheduling method based on heat source integration adjustment of any one of claims 1-5.

Description

Thermoelectric collaborative scheduling method, system, medium and equipment based on heat supply source network integration adjustment The application discloses a split application of a patent application named as a thermoelectric cooperative scheduling method based on pipe network heat load and a flexible decoupling system, and the application date of the original application is 2024, 05, 11 and 202410581796.8. Technical Field The invention belongs to the technical field of power grid dispatching, and particularly relates to a thermoelectric collaborative dispatching method, a thermoelectric collaborative dispatching system, a thermoelectric collaborative dispatching medium and thermoelectric collaborative dispatching equipment based on power supply and heat source integrated regulation. Background In recent years, with the great development of clean energy power generation such as wind energy, solar energy and the like, the energy structure adjustment pace is continuously accelerated. Because wind energy and solar energy power generation have the characteristics of randomness, intermittence, quick change and the like, and the traditional coal power generation energy is excessive, the peak regulation difficulty of a power grid is increased, and new requirements are provided for improving the flexibility and the deep peak regulation capability of an active thermal power generating unit. At present, most of regional coal motor sets are heating units, and under a heat and electricity setting mode in heating seasons, the peak regulation capacity of the thermal power unit is limited, and the lack of the peak regulation capacity severely restricts clean energy consumption. Disclosure of Invention The invention aims to provide a thermoelectric collaborative scheduling method, a thermoelectric collaborative scheduling system, a thermoelectric collaborative scheduling medium and thermoelectric collaborative scheduling equipment based on heat supply network integrated adjustment, which take a heat supply network system and a heat source system as a whole, rely on the strong heat storage capacity of the heat supply network system, play a role in heat supply network integrated adjustment means, and simultaneously promote the triple capacities of power generation, heat supply and flexibility peak regulation. In order to achieve the above object, the present invention provides the following technical solutions. In one aspect, the invention provides a thermoelectric collaborative scheduling method based on heat supply source network integration adjustment, which comprises the following steps: Based on a power grid system historical power generation dispatching instruction, historical weather and a heat supply network dispatching historical instruction, predicting power generation electric load, heat load and heat supply backwater temperature in a set time scale to obtain a prediction result; according to the prediction result and the thermoelectric output characteristics of the unit, whether the unit has a thermal decoupling contradiction under the conventional heating mode and the current predicted thermoelectric load is evaluated, and an evaluation result is obtained; When the evaluation result is that the thermal decoupling contradiction exists, enumerating all heat supply mode combinations of the heat supply machine group, and determining all heat supply mode combinations meeting the power generation-heat supply requirements under the current electric load-heat load-backwater temperature prediction condition according to the thermoelectric output characteristics existing in each heat supply mode; and (3) constructing an optimal scheduling benefit calculation model with the optimal whole plant benefit as a target, calculating the overall power generation-heat supply benefits of the whole plant under different heat supply modes, and finally outputting a thermoelectric cooperative scheduling strategy with optimal economic benefit. Optionally, the predicting the power generation electric load, the heat load and the heat supply backwater temperature in the set time scale based on the power grid system historical power generation dispatching instruction, the historical weather and the heat supply network dispatching historical instruction to obtain a prediction result specifically includes: The power generation load is predicted by a power grid system historical power generation dispatching instruction, the heat load and the return water temperature are predicted by a historical weather and heat supply network dispatching historical instruction, and the predicted data of the power generation, heat supply and heat supply network return water temperatures in 96 time periods in the whole day are predicted by taking every 15 minutes as a load prediction time unit. The heat supply mode combination comprises at least one of punching steam extraction, cylinder cutting and high back pressure, wherein the thermoelectric operation