Active power control time-sharing scheduling method and system for main network containing distributed resources

Abstract

The invention relates to a main network active control time-sharing scheduling method and system containing distributed resources. The method comprises the following steps: controlling hour-level control resources of a main network side through load prediction; performing combined control on the second-level control unit and the minute-level control unit; multi-stage cooperative control is adopted, and each stage performs sorting control on main network side control resources containing distributed resources according to constraint conditions of a main network. According to the method, the response time and the duration are subdivided and calculated through the time-sharing control technology, the characteristics and availability of minimum control unit resources can be better known, it is ensured that a scheduling system can respond to changing requirements in time and provide sustainable power supply, and the efficiency, reliability and sustainability of a power system can be improved.

Description

Technical Field

[0001] The present invention belongs to the field of power system and energy management, and in particular, relates to a time-sharing dispatching method and system for active power control of a main network containing distributed resources. Background Art

[0002] With the development of new power systems, the proportion of distributed resources connected to the power grid has continued to increase, leading to profound changes in the active power control mechanism of the power grid. Distributed resources provide a large number of adjustable resources for active power control of the power grid that cannot be controlled by active power regulation methods such as automatic power generation control of the main grid. In addition, the active power control objectives and technical implementation methods of the main grid and the distribution network are different and difficult to unify. The method of relying on traditional automatic power generation control of resources on the main grid side to control the active power of the power grid cannot meet the power control requirements of the new power system.

[0003] In recent years, with the continuous increase in the number of distributed power sources, the active power control of traditional power grids faces many challenges. The peak load regulation of traditional power grids is carried out in a coordinated manner of regional power grid dispatch and provincial dispatch. At present, thermal power and new energy have become the main peak load resources. With the rapid development of new power systems with new energy as the main body, peak load resources will become increasingly tight, especially for some provincial grids with rapid development of distributed photovoltaics and high distribution network penetration rate. As distributed resources are gradually connected to the main grid and the distributed photovoltaic automation regulation capacity is lacking, the traditional power grid is prone to increase in short-term high-power impact loads, and even cause power supply system failures.

[0004] Compared with the traditional planned peak load regulation, real-time peak load regulation requires a higher level of automation in the communication, collection and control of grid resources. At present, the new power system with new energy as the main body is developing rapidly. Although most distributed photovoltaics are developing rapidly, their automation level is low and cannot meet the control needs of real-time peak load regulation of the grid.

[0005] The prior art document (CN117096930A) discloses a distributed resource group scheduling and control technology application method and system. This method only targets distributed resources and does not combine distributed resources with traditional main network side resources to coordinate time-sharing scheduling and control according to their respective characteristics.

[0006] Prior art document 2 (CN117411093A) discloses a multi-level active collaborative control method and system for a distribution network containing distributed energy. This method is aimed at distribution network control scenarios and does not involve main grid-side control scenarios containing distributed resources. It cannot guarantee that the distribution network containing distributed resources can respond to changing demands in a timely manner and provide sustainable power supply. Summary of the invention

[0007] In order to solve the deficiencies in the prior art, the present invention divides the response characteristics of distributed resources at different voltage levels into time divisions, clarifies the active power control scenarios in which various types of distributed resources can participate, improves the active power control capability and efficiency of the power grid, and is conducive to the smooth absorption of new energy active power by the power grid.

[0008] The first aspect of the present invention discloses a time-sharing scheduling method for active control of a main network containing distributed resources, comprising:

[0009] Control the control resources on the main grid side at the hourly level through load forecasting;

[0010] Construct mathematical models to optimize the combination of control units at the second and minute levels;

[0011] Multi-level collaborative control is adopted, and each level performs sequencing control on the main network side control resources and distributed resources according to the constraints of the main network.

[0012] Preferably, the control resources on the main network side at the hourly level are controlled by load forecasting as follows:

[0013] On a time scale of one day in advance, taking into account weather conditions, date types, and industrial production plans, load forecasting is performed on the control resources on the main grid side at the hourly level.

[0014] Preferably, the combined optimization of the second-level and minute-level control units is specifically as follows:

[0015] According to the startup and shutdown costs, minimum operating time and minimum shutdown time constraints of second-level and minute-level units, combined with load forecast results, the second-level units and minute-level units are combined and controlled.

[0016] Preferably, the sequencing control of the main network side control resources and the distributed resources is specifically as follows:

[0017] For the main grid-side control resources containing distributed resources, the control priority from high to low is as follows: new energy units or station resources at the second level that meet the constraints, main grid-side control resources at the second and minute levels containing distributed resources other than new energy units or station resources, main grid-side control resources at the 15-minute and 30-minute levels containing distributed resources, and main grid-side control resources at the hourly level containing distributed resources.

[0018] Preferably, the constraints are: grid security, unit regulation performance, new energy consumption, and grid operation economy.

[0019] Preferably, if the main network meets the set conditions, the distributed hourly main network-side control resources no longer participate in the control; when the main network does not meet the set conditions, the distributed resources above the hourly level participate in the control.

[0020] Preferably, the setting conditions are specifically:

[0021] The electricity generated by the distributed resources in the main network reaches the maximum capacity of the main network.

[0022] Preferably, network security verification is performed at each level in the multi-level collaboration. If the network security verification is satisfied, the distributed resources that meet the requirements for participating in the control are summarized upwards level by level, starting from the distribution network on the distribution network side.

[0023] Preferably, they are summarized into the provincial control and regulation system in the order of distribution-region-province, and the provincial control generates corresponding control instructions according to the control strategy and control objectives used.

[0024] A second aspect of the present invention provides a main network active power control time-sharing scheduling system containing distributed resources, which runs the above-mentioned main network active power control time-sharing scheduling method containing distributed resources, including:

[0025] Load forecasting module, used to control hourly resources through load forecasting;

[0026] Combined control module, used for combined control of second-level and minute-level resources;

[0027] The multi-level coordination module is used to control the main network side control resources containing distributed resources through multi-level coordination.

[0028] The third aspect of the present invention discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is loaded into the processor, the method for time-sharing scheduling of active control of a main network containing distributed resources is implemented.

[0029] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned method for time-sharing scheduling of active control of a main network containing distributed resources.

[0030] The beneficial effect of the present invention is that, compared with the prior art, the present invention subdivides and calculates the response time and duration through time-sharing control technology, which can better understand the characteristics and availability of the minimum control unit resources, ensure that the dispatching system can respond to changing demands in a timely manner and provide sustainable power supply, and help improve the efficiency, reliability and sustainability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a schematic diagram of time-sharing control. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0033] The present invention conducts time-sharing scheduling on the distributed resources participating in the active power control of the main grid, explores the ability of the distributed resources on the distribution network side to participate in peak load regulation, enriches the means of grid regulation and peak load regulation, and constructs a peak load regulation technology and market support system with coordinated source, grid, load and storage.

[0034] The first embodiment of the present invention provides a time-sharing scheduling method for active control of a main network containing distributed resources, which specifically includes:

[0035] In time-sharing control, response time is an important indicator used to evaluate the resource availability and sustainability of the smallest control unit. Figure 1 As shown in Figure 1, the minimum control unit resource response time can be divided into seven levels, namely, seconds, minutes, 15 minutes, 30 minutes, 2 hours, 4 hours, and more than 4 hours. These levels reflect the ability of distributed resource aggregation points to respond to requirements at different time scales.

[0036] The second-level response time level is suitable for application scenarios that require a quick response, such as emergency power outage instructions or control situations with sudden power demand.

[0037] The minute-level response time level is suitable for scenarios where control operations need to be completed in a short time, such as the need to regulate the frequency of the power grid.

[0038] The 15-minute and 30-minute response time levels are suitable for power regulation scenarios that require real-time control of the power grid, such as flexible adjustment requirements of the power grid.

[0039] The 2-hour and 4-hour response time levels are suitable for scenarios involving intraday power regulation and optimization, such as handling load peaks or grid peak regulation requirements.

[0040] Response time levels above 4 hours are applicable to day-ahead power regulation needs, such as peak shaving and standby needs.

[0041] (1) Planned peak load control

[0042] Taking into account the low level of automation in communication, collection, and control of distribution network resources, but the level of load forecasting and new energy power generation forecasting has been continuously improving, the distribution network peak-shaving resources can be moderately advanced controlled in combination with ultra-short-term load forecasting and short-term load forecasting. The control time scale can be extended to about half an hour, forming a multi-time-scale complementary and coordinated peak-shaving control mode with the main network peak-shaving control.

[0043] In the future, the peak load regulation capacity of new power systems will increase day by day. The participation of distribution network resources in power grid peak load regulation control may have a great impact on the regional power grid flow distribution. Therefore, it is necessary to adopt a control method of distribution-region-province-division layer-by-layer aggregation and multi-level coordination. In the multi-level coordinated peak load regulation control strategy, the technical characteristics of slow regulation speed and uncertainty of frequency regulation resources on the distribution network side should be considered, and the ultra-short-term load forecast and unit optimization combination should be reasonably used to carry out advanced multi-round feedback control. Through the multi-time scale complementary coordination of conventional peak load control resources and new distribution network peak load resources, a peak load regulation service technology and market support system for multi-level power grids, source-grid-load-storage systems should be constructed.

[0044] Load forecasting for hourly main grid resources including 2-hour, 4-hour and above 4-hour levels: First, accurate load forecasting should be performed on a time scale of one day in advance. This requires comprehensive consideration of weather conditions (such as the impact of temperature and humidity on loads such as air conditioning), date types (working days, rest days, holidays, etc.), industrial production plans and other factors. For example, on hot summer days, the air conditioning load will increase significantly, and the load forecasting model needs to consider the relationship between temperature and air conditioning load, and predict the peak load and load curve shape of the next day through historical data and weather forecasts of the same date type as that day.

[0045] Second-level and minute-level unit combination optimization: According to the load forecast results, the combination of generator sets is optimized. It is necessary to consider the constraints such as the startup and shutdown costs, minimum operating time and minimum shutdown time of different types of units (such as coal-fired units, gas-fired units, hydropower units, etc.). For example, for coal-fired units, the startup process is complicated, takes a long time and has a high cost, so its frequent start and stop should be minimized in the plan. For hydropower units, the startup speed is fast, and they can be flexibly arranged to participate in peak load regulation. According to the actual conditions of various places, by establishing mathematical models, including but not limited to mixed integer linear programming models, the optimal unit combination scheme is solved to minimize the power generation cost.

[0046] As a prominent substantive feature of the present invention and one of the significant advances it brings to the prior art, full consideration is given to how to give full play to the characteristic advantages of each time-sharing model resource in the main grid side control scenario using resources of different time scales.

[0047] (2) Real-time peak load control

[0048] The present invention aggregates distributed resources at different levels of provincial and local distribution networks to meet real-time peak-shaving needs, performs precise control through level-by-level grid regulation, and enhances the real-time peak-shaving capability of the main grid.

[0049] The control time scale of the main grid side for real-time peak regulation is 1 to 2 minutes. With the increasing capacity of power peak regulation in future new power systems, real-time peak regulation needs to adopt a distribution-region-province-district-level aggregation and multi-level coordination control method. According to the constraints of power grid security, unit regulation performance, new energy consumption, power grid operation economy, etc., the control resources on the main grid side containing distributed resources are sorted and controlled.

[0050] For the control resources on the main grid side with distributed resources at the second level, including new energy units or stations, which meet the constraints and have excellent regulation performance, they are given priority to participate in the real-time peak regulation of the power grid. Ensure that on the basis of grid security, new energy participates in the real-time peak regulation of the power grid with the maximum power generation capacity. Secondly, give priority to controlling other control resources with distributed resources at the second and minute levels on the main grid side, and then control the control resources with distributed resources at the 15-minute and 30-minute levels on the main grid side. The hourly control resources on the main grid side are controlled with the lowest priority. If the main grid meets the set conditions at this time, the hourly control resources with distributed resources will no longer participate in the control scenario; when the main grid does not meet the set conditions, the hourly control resources with distributed resources will participate in the control, so that various time-sharing resources can respond to the power grid demand as much as possible, and combined with the existing safety verification mechanism, ensure that the regulation of aggregated resources does not affect the safe operation of the power grid. Among them, the set conditions are: the electric energy generated by distributed resources including new energy units or stations reaches the maximum capacity of the main grid.

[0051] As a prominent substantive feature of the present invention and one of the significant advances it brings to the prior art, the present invention uniformly divides different types of resources according to their time scale characteristics, realizes differentiated control in different main network-side control scenarios, achieves targeted control and utilization of resources, gives full play to the advantages of the characteristics of each type of resources, and controls them on demand.

[0052] In the control mode of real-time peak-shaving with layer-by-layer aggregation and multi-level coordination, at each level, the control resources on the main grid side containing distributed resources are sorted and controlled according to the above constraints, and network security verification is performed at each level. After each level meets the network security verification of peak-shaving control, starting from the distribution network on the distribution network side, the distributed resources that meet the needs of participating in real-time peak-shaving are summarized upward layer by layer, and summarized to the provincial control system in the order of distribution-region-province. The provincial control generates corresponding control instructions based on the control strategy and control objectives used, and issues the total peak-shaving target value. The instructions will be decomposed layer by layer according to the order of province-region-distribution, generate peak-shaving targets at each level, and issue them to the direct or autonomous power grid resources at each level for execution.

[0053] As a prominent substantive feature of the present invention and one of the significant advances it brings to the prior art, the present invention can involve distributed resources in the main grid-side control scenario, and jointly realize the response of the power grid control scenario with the main grid-side resources, providing more control scheme options for the main grid control and achieving control effects more quickly.

[0054] A second embodiment of the present invention provides a time-sharing scheduling system for active power control of a main network containing distributed resources, and runs a method for time-sharing scheduling of active power control of a main network containing distributed resources described in Embodiment 1, including:

[0055] Load forecasting module, used to control hourly resources through load forecasting;

[0056] Combined control module, used for combined control of second-level and minute-level resources;

[0057] The multi-level coordination module is used to control the main network side control resources containing distributed resources through multi-level coordination.

[0058] The third embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is loaded into the processor, a method for time-sharing scheduling of active control of a main network containing distributed resources is implemented according to Embodiment 1.

[0059] The fourth embodiment of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements a main network active control time-sharing scheduling method containing distributed resources according to embodiment 1.

[0060] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0061] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A time-sharing scheduling method for active power control of a main network containing distributed resources, characterized in that: Control the control resources on the main grid side at the hourly level through load forecasting; Combination optimization of control units at the second and minute levels; Multi-level collaborative control is adopted, and each level sorts and controls the control resources on the main network side containing distributed resources according to the constraints of the main network.

2. A method for time-sharing scheduling of active power control of a main network containing distributed resources according to claim 1, characterized in that: The control resources on the main grid side at the hourly level are controlled through load forecasting as follows: On a time scale of one day in advance, taking into account weather conditions, date types and industrial production plans, the load of the control resources on the main grid side is predicted at the hourly level through historical data of the same date type as the predicted day and weather forecasts.

3. The method for time-sharing scheduling of active power control of a main network containing distributed resources according to claim 1 is characterized in that: The combined control of the second-level and minute-level control units is as follows: According to the startup and shutdown costs, minimum operating time and minimum shutdown time constraints of second-level and minute-level units, combined with load forecast results, the second-level units and minute-level units are combined and controlled.

4. The method for time-sharing scheduling of active power control of a main network containing distributed resources according to claim 1, characterized in that: The specific steps for sorting and controlling the control resources on the main network side containing distributed resources are as follows: For the main grid-side control resources containing distributed resources, the control priority from high to low is as follows: new energy units or station resources at the second level that meet the constraints, main grid-side control resources at the second and minute levels containing distributed resources other than new energy units or station resources, main grid-side control resources at the 15-minute and 30-minute levels containing distributed resources, and main grid-side control resources at the hourly level containing distributed resources.

5. The method for time-sharing scheduling of active power control of a main network containing distributed resources according to claim 4 is characterized in that: The constraints are: grid security, unit regulation performance, new energy consumption and grid operation economy.

6. A method for time-sharing scheduling of active power control of a main network containing distributed resources according to claim 4, characterized in that: If the main network meets the set conditions, the hourly main network-side control resources including distributed resources will no longer participate in the control; when the main network does not meet the set conditions, the hourly main network-side control resources including distributed resources will participate in the control.

7. A method for time-sharing scheduling of active power control of a main network containing distributed resources according to claim 6, characterized in that: The specific setting conditions are: The electricity generated by the distributed resources in the main network reaches the maximum capacity of the main network.

8. A method for time-sharing scheduling of active power control of a main network containing distributed resources according to claim 1, characterized in that: Network security verification is performed at each level in multi-level collaboration. If the network security verification is met, the distributed resources that meet the requirements for participating in control are summarized layer by layer starting from the distribution network side.

9. A method for time-sharing scheduling of active power control of a main network containing distributed resources according to claim 7, characterized in that: The distributed resources involved in the control are aggregated to the provincial control and regulation system in the order of distribution-region-province, and the provincial control generates corresponding control instructions based on the control strategy and control objectives used.

10. An active power control time-sharing dispatching system of a main network containing distributed resources, running an active power control time-sharing dispatching method of a main network containing distributed resources as claimed in any one of claims 1 to 9, characterized in that: include: Load forecasting module, used to control hourly resources through load forecasting; Combined control module, used for combined control of second-level and minute-level resources; The multi-level coordination module is used to control the main network side control resources containing distributed resources through multi-level coordination.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is loaded into the processor, a time-sharing scheduling method for active power control of a main network containing distributed resources according to any one of claims 1 to 9 is implemented.

12. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, a time-sharing scheduling method for active power control of a main network containing distributed resources is implemented according to any one of claims 1 to 9.

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