A power grid-thermal power plant-heating network collaborative scheduling method and system for power supply demand

Abstract

The application discloses a power grid-thermal power plant-heat network collaborative scheduling method and system for power supply guarantee demand, first carries out day-ahead load prediction, and statistics power station power prediction situation and available capacity and time length of various types of regulation power generation resources and energy storage resources in the region belonging to the power grid, determines the top peak time period and required top peak capacity of the next day, in the intra-day stage, according to whether the current power grid needs the top peak requirement, carries out the regulation and control of the running generator unit, standby unit, pumped storage unit and new energy storage, combines the collaborative heat network emergency top peak mechanism, until the top peak requirement is reached. The application solves the problem of difficulty in power supply guarantee caused by the decline of the peak capacity of a large number of thermal power plants in the heating season due to the bearing of people's livelihood heating, and has significant social and economic benefits.

Description

Technical Field

[0001] This invention relates to the field of heating and power supply dispatching, specifically to a method and system for coordinated dispatching of power grid, thermal power plant, and heating network to meet power supply needs. Background Technology

[0002] With the advancement of the strategic goals of "carbon peaking and carbon neutrality" and the gradual development of new power systems, my country's installed capacity of renewable energy has grown rapidly. By July 2023, the installed capacity of renewable energy had reached 1.322 billion kilowatts, historically surpassing coal power and accounting for approximately 48.8% of my country's total installed capacity. New energy power generation, such as wind and solar power, exhibits significant volatility and randomness, and even possesses certain anti-peak-shaving characteristics, making it unable to provide peak-load support. For example, wind turbine output fluctuates within a certain range during the day, gradually increasing at night, especially in the latter half of the night; solar power output is high during the midday lull in electricity demand, but loses its power generation capacity during the evening peak.

[0003] In recent years, the "double peak" characteristic of the power grid has gradually emerged, with peak electricity demand occurring in both summer and winter, resulting in a severe supply situation. For most heating provinces in the north, a large number of thermal power units need to prioritize heating during the heating season, severely restricting power generation capacity and leading to a severe "heat-power conflict," especially during the evening peak hours when the power supply situation is critical.

[0004] Currently, the regulation of external heat supply from thermal power plants is relatively crude, failing to fully consider the impact of peak-valley differences in the power grid and the inertia of the heating network. It primarily employs a constant-flow heating method, which not only affects the heating experience for users but also further exacerbates the difficulties of power grid regulation. With the rapid development of urban heating, the security of the large power grid urgently requires coordinated regulation of thermal power, necessitating the development of a coordinated dispatch mechanism and method involving the power grid, thermal power plants, and the heating network.

[0005] In reality, the heating network system has a certain thermal inertia. Reducing the heating supply in a short period of time will not affect the user's heating experience. If the power grid, power plant and heating network are coordinated and dispatched, during the peak period of the power grid, the power plant reduces the heating supply and increases the power generation output to complete the peak task. At the same time, the heating company uses the thermal inertia of the primary and secondary heating networks to maintain heating and provides corresponding heating supplements when necessary, which can effectively meet the user's heating requirements and the peak demand of the power grid. Summary of the Invention

[0006] The purpose of this invention is to provide a method and system for coordinated dispatching of power grid, thermal power plant, and heating network to meet the needs of power supply security. This method can not only meet the peak demand of the power grid, but also meet the heating needs of end users by utilizing the joint dispatching of the power grid and thermal power plants.

[0007] To achieve the above objectives, the present invention employs the following technical solution:

[0008] A method for coordinated dispatching of power grid, thermal power plant, and heating network to meet power supply needs, characterized by the following steps:

[0009] (1) Conduct day-ahead load forecasting;

[0010] (2) Statistical analysis of power plant power forecasting;

[0011] (3) Statistically determine the available capacity and duration of various types of regulating power generation resources and energy storage resources within the power grid area;

[0012] (4) Determine the peak time period and required peak capacity for the second day;

[0013] (5) During the day, all types of generating units operate according to the declared plan. It is determined whether the current power grid needs to reach its peak. If so, proceed to the next step; otherwise, maintain the current state and continue to operate.

[0014] (6) If the operating generator unit can meet the current peak requirements, maintain the current operating status until the peak ends; if it cannot meet the peak requirements, proceed to the next step.

[0015] (7) Standby units, pumped storage units, and new energy storage units participate in peak operation. If they can meet the current peak requirements, they will maintain the current operating status until the peak ends. If they cannot meet the peak requirements, they will proceed to the next step.

[0016] (8) Activate the emergency peak-load mechanism of the coordinated heating network until the peak-load requirement is met.

[0017] Furthermore, the day-ahead load forecasting method is as follows: weather data, weekday type data, holiday data, historical electricity load data, and large user electricity consumption data are collected at fixed intervals, and regression analysis and time series analysis are used to comprehensively predict the electricity load demand for the next 24 hours.

[0018] Furthermore, the power plants are new energy power plants, including centralized wind power and photovoltaic power plants, and the power prediction is performed at fixed intervals.

[0019] Furthermore, the regulation of power generation resources includes thermal power, nuclear power, and gas turbine units within the grid area, and the statistical analysis of the operating status and available capacity of the generator units; the energy storage resources include pumped storage and new energy storage, and the statistical analysis of the energy release capacity and power generation time periods for pumped storage units, and the statistical analysis of the available grid-connected capacity and time periods for new energy storage units; the operating status of the generator units includes four categories: standby, maintenance shutdown, pure condensing operation, and heating operation, and the available capacity of the standby and pure condensing operation units is the rated capacity, the available capacity of the maintenance shutdown units is 0, and the available capacity of the heating operation units is the maximum adjustable heating capacity, which is equal to the rated capacity minus the reduced output for heating.

[0020] Furthermore, the peak-load operation mode for the generating units in operation is as follows: pure condensing units are brought to rated capacity, and heating units are brought to the maximum adjustable capacity under heating conditions.

[0021] Furthermore, the ways in which standby units, pumped storage units, and new energy storage participate in peak power generation are as follows: standby units, including thermal power, nuclear power, and gas power units, are started up and brought to rated output; pumped storage units enter the energy release and power generation state and are brought to rated capacity; and new energy storage units are connected to the grid and supplied with electricity according to available capacity.

[0022] Furthermore, the emergency peak-load mechanism of the coordinated heating network is as follows: during peak periods, thermal power plants reduce heat supply and increase power generation output, while heating companies maintain residential heating by utilizing the thermal inertia of the heating network and supplementary heating.

[0023] Furthermore, on the power plant side, each thermal power plant reduces its steam extraction for heating, and each heating unit increases its power generation output. If the current peak demand can be met, each thermal power plant maintains its current operating status until the peak ends. If the peak demand cannot be met, each thermal power plant further reduces its steam extraction for heating, and each heating unit increases its output until it reaches its rated output. On the heating network side, the heating company first utilizes the thermal inertia of the heating network to maintain heating, closely monitors the temperature at each monitoring point of the heating network and the end-user temperature, and determines whether the end-user temperature is above the set temperature threshold. If so, the current status is maintained; if not, the heating company urgently activates the backup heat source to supplement the heating network and maintain the end-user temperature above the set temperature threshold. After the peak ends, each thermal power plant reduces its power generation output and adjusts the heating supply according to the heating company's needs.

[0024] Furthermore, backup heat sources include heat pumps and backup boilers.

[0025] This invention also discloses a grid-thermal power plant-heat network coordinated dispatch system for power supply security needs, comprising:

[0026] The day-ahead load forecasting module is used for day-ahead load forecasting.

[0027] The power prediction module is used to statistically analyze the power prediction results of power plants.

[0028] The data processing module is used to statistically analyze the available capacity and duration of various regulating power generation and energy storage resources within the power grid area, and to determine the peak time period and required peak capacity for the next day.

[0029] The unit control module is used to control the start and stop of various units. The advantages of this invention are: during peak periods, when the power grid's internal resource coordination is insufficient, it coordinates with the heating network dispatching to help power plants achieve partial or complete "heat-power decoupling" within a certain timeframe. This solves the supply guarantee problem caused by the reduced capacity of many power plants to handle peak residential heating during the evening peak of the heating season. Establishing a coordinated dispatching mechanism between the power grid, power plants, and heating companies, working together to ensure both residential heating and power supply, yields significant social and economic benefits. Attached Figure Description

[0030] Figure 1 This is a flowchart of Embodiment 1 of the present invention. Detailed Implementation

[0031] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0032] Example 1

[0033] A method for coordinated dispatching of power grid, thermal power plant, and heating network to meet power supply needs; please refer to [reference needed]. Figure 1 This includes the following steps.

[0034] Step 1: The power grid dispatching department conducts day-ahead load forecasting. Day-ahead load forecasting comprehensively considers various factors, including weather data, workday type, holiday factors, historical electricity load data, and large user electricity consumption. Using 15-minute intervals as one data point, it forecasts the electricity load demand for the next 24 hours, totaling 96 data points. Based on this historical data, regression analysis and time series analysis are used to comprehensively predict the electricity load demand for the next 24 hours.

[0035] Step 2: The power grid dispatching department compiles statistics on the power forecast of new energy power plants. New energy power plants mainly include centralized wind power and photovoltaic power plants. The power forecast is based on one point every 15 minutes, predicting the available power generation in the next 24 hours, for a total of 96 points.

[0036] Step 3: Compile statistics on the available capacity and duration of various adjustable power generation and energy storage resources within the power grid area. Adjustable power generation resources include thermal power, nuclear power, and gas-fired power units within the power grid area. Energy storage resources mainly include pumped storage and new energy storage. For generator units, the operating status and available capacity need to be compiled; for energy storage resources, the available capacity and duration need to be compiled. Generator unit operating status includes four categories: standby, maintenance shutdown, pure condensing operation, and heating operation. For standby and pure condensing operation units, the available capacity is the rated capacity; for maintenance shutdown units, the available capacity is 0; for heating operation units, the available capacity is the maximum adjustable heating capacity, equal to the rated capacity minus the reduced heating output. For pumped storage units, the energy release capacity and power generation time periods need to be compiled; for new energy storage, the available grid connection capacity and time periods need to be compiled.

[0037] Step 4: The power grid dispatching department determines the peak time period and required peak capacity for the next day based on steps 1 to 3. The peak-shaving strategy is to first ensure that the operating generating units reach the peak capacity. If this cannot be met, standby units, pumped storage, and new energy storage are required to participate in the peak-shaving. If this still cannot be met, the emergency peak-shaving mechanism of the coordinated heating network is finally activated, and each thermal power plant reduces its heat supply and increases its power generation output.

[0038] Step 5, intraday phase: All types of generating units operate according to the declared plan. Determine whether the current power grid needs peak operation. If so, proceed to Step 6; otherwise, maintain the current state and continue operation.

[0039] Step Six: In operation, the generating units participate in the peak operation. The pure condensing units (thermal power, nuclear power, and gas power units) are brought to their rated capacity, and the heating units (thermal power, nuclear power, and gas power units) are brought to their maximum adjustable capacity under heating conditions. If the current peak requirements can be met, the current operating state is maintained until the peak ends. If the peak requirements cannot be met, proceed to Step Seven.

[0040] Step 7: Standby units, pumped storage units, and new energy storage systems participate in peak operation. If they can meet the current peak requirements, they will maintain the current operating status until the peak ends. If they cannot meet the peak requirements, proceed to Step 8.

[0041] Step 8: Activate the coordinated heating network emergency peak-load mechanism. During the peak period, thermal power plants reduce heat supply and increase power generation. The heating company maintains residential heating by utilizing the thermal inertia of the heating network and supplementary heating. Specifically, on the power plant side: each thermal power plant reduces the amount of steam extracted for heating, and each heating unit increases its power generation. If the current peak demand can be met, each thermal power plant maintains its current operating status until the peak ends. If the peak demand cannot be met, each thermal power plant further reduces the amount of steam extracted for heating, and each heating unit increases its output until it reaches its rated output. On the heating network side: the heating company first uses the thermal inertia of the heating network to maintain heating, closely monitors the temperature at each monitoring point of the heating network and the end-user temperature, and determines whether the end-user temperature is above 18℃. If so, maintain the current status; if not, the heating company urgently activates backup heat sources, including heat pumps and backup boilers, to supplement the heating network and maintain the end-user temperature above 18℃. After the peak ends, each thermal power plant reduces its power generation and adjusts the heat supply according to the heating company's needs until the peak demand is met.

[0042] Example 2

[0043] This embodiment discloses a grid-thermal power plant-heat network coordinated dispatch system for power supply security, including:

[0044] The day-ahead load forecasting module is used for day-ahead load forecasting.

[0045] The power prediction module is used to statistically analyze the power prediction results of power plants.

[0046] The data processing module is used to statistically analyze the available capacity and duration of various regulating power generation and energy storage resources within the power grid area, and to determine the peak time period and required peak capacity for the next day.

[0047] The unit control module is used to control the start and stop of various units. During the daytime, various units operate according to the declared plan, determining whether the current power grid requires peak load. If so, the operating units are controlled to participate in peak load. If the peak load requirement is still not met, standby units, pumped storage units, and new energy storage units are controlled to participate in peak load. If the peak load requirement is still not met, the coordinated heating network emergency peak load mechanism is activated until the peak load requirement is met. Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A power grid-thermal power plant-heating network coordinated dispatching method for power supply demand, characterized in that, The method comprises the following steps: (1) performing day-ahead load prediction; (2) counting power prediction conditions of power plants and substations; (3) counting available capacities and time lengths of various types of regulating power generation resources and energy storage resources in a region to which a power grid belongs; (4) determining a peak time period of the next day and required peak capacity; (5) in an intra-day stage, various types of units operate according to a declared plan, and it is judged whether the current power grid needs to peak, if yes, the next step is executed, otherwise, the current state is maintained to continue operation; (6) operating generating units participate in peaking, if the current peaking requirement can be met, the current operation state is maintained until the peaking ends, if the current peaking requirement cannot be met, the next step is entered; (7) standby units, pumped storage units and new energy storage participate in peaking, if the current peaking requirement can be met, the current operation state is maintained until the peaking ends, if the current peaking requirement cannot be met, the next step is entered; (8) an emergency peaking mechanism of a coordinated heat network is started until the peaking requirement is reached.

2. The power supply oriented power grid-thermal power plant-heating network coordinated dispatching method according to claim 1, characterized in that, The day-ahead load prediction method is that weather data, workday type data, holiday data, historical power load data and large user power consumption data are collected at fixed interval periods as points, and regression analysis and time series method are used to comprehensively predict power load demand in the next 24 hours.

3. The power supply oriented power grid-thermal power plant-heating network coordinated dispatching method according to claim 1, characterized in that, The power plants and substations are new energy power plants and substations, including centralized wind power plants and photovoltaic power plants, and power prediction is performed at fixed interval periods as points.

4. The power supply oriented power grid-thermal power plant-heating network coordinated dispatching method according to claim 1, characterized in that, The regulating power generation resources include thermal power, nuclear power and gas units in the region to which the power grid belongs, and operating states and available capacities of the generating units are counted; the energy storage resources include pumped storage and new energy storage, and the pumped storage units need to count energy releasing generation capacity and generation time period, and the new energy storage needs to count available on-grid capacity and time period; the operating states of the generating units include four types of shutdown standby, shutdown maintenance, pure condensing operation and heat supply operation, the available capacities of the shutdown standby units and the pure condensing operation units are rated capacities, the available capacity of the shutdown maintenance unit is 0, and the available capacity of the heat supply unit is a maximum adjustable capacity in the heat supply state, which is equal to the rated capacity minus heat supply reduced output.

5. The power supply oriented power grid-thermal power plant-heating network coordinated dispatching method according to claim 1, characterized in that, The operating generating unit participation in peaking mode is that pure condensing operation units are brought to rated capacities, and heat supply units are brought to maximum adjustable capacities in the heat supply state.

6. The power supply oriented power grid-thermal power plant-heating network coordinated dispatching method according to claim 1, characterized in that, The standby units, pumped storage units and new energy storage participation in peaking mode is that standby units of thermal power, nuclear power and gas units are started and brought to rated outputs, pumped storage units are brought to rated capacities in the energy releasing generation state, and new energy storage is used to send power on grid according to available capacities.

7. The power supply oriented power grid-thermal power plant-heating network coordinated dispatching method according to claim 1, characterized in that, The coordinated heat network emergency peaking mechanism mode is that a heat supply amount of a thermal power plant is reduced to increase power generation output during peaking, and a heat company maintains resident heat supply by using heat network heat inertia and supplementary heat supply and the like.

8. The power supply oriented power grid-thermal power plant-heating network coordinated dispatching method according to claim 7, characterized in that, On the power plant side, each thermal power plant reduces the heat supply extraction steam volume, each heat supply unit increases the power generation output, if the current peak demand can be met, each thermal power plant maintains the current operating state until the peak ends, if the peak requirement cannot be met, each heat supply power plant further reduces the heat supply extraction steam volume, each heat supply unit increases the output until the rated output is reached; on the heat network side, the heat supply company first uses the heat inertia of the heat supply pipe network to maintain heat supply, closely monitors the temperatures of each monitoring point and terminal user of the heat supply pipe network, judges whether the terminal user temperature is above the set temperature threshold, if yes, the current state is maintained; if no, the heat supply company starts the standby heat source to supplement the heat supply of the heat network in an emergency, to maintain the terminal user temperature above the set temperature threshold; after the peak ends, each thermal power plant reduces the power generation output, and adjusts the heat supply volume according to the needs of the heat supply company.

9. The power supply oriented power grid-thermal power plant-heating network coordinated dispatching method according to claim 8, characterized in that, The standby heat source includes a heat pump and a standby boiler.

10. A power grid-thermal power plant-heating network coordinated dispatching system for power supply demand, characterized in that, Comprise: A day-ahead load forecasting module for day-ahead load forecasting; A power station power forecasting module for statistical power station power forecasting; A data processing module for statistical available capacity and duration of various types of regulating power resources and energy storage resources in the region belonging to the power grid and for determining the peak time period and required peak capacity of the next day; A unit control module for controlling the start and stop of various types of units, in the daily stage, various types of units operate according to the declared plan, it is judged whether the current power grid needs a peak, if yes, the operating generating units participate in the peak, if the peak requirement still cannot be met, the standby units, pumped storage units and new energy storage units participate in the peak, if the peak requirement still cannot be met, the emergency peak mechanism of the heat network is started until the peak requirement is met.

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