Source network load storage layered coordination control system

Abstract

A data acquisition module can be used for acquiring basic data, a data processing module can be used for preprocessing the basic data, and an analysis module can be used for analyzing the output and consumption conditions of new power generation energy sources at different times according to screened data and based on the output and consumption conditions of the new power generation energy sources at different times. The power grid management module can determine the abnormal operation state of each power grid at the corresponding time, the trimming module can adjust the power grid in real time according to the abnormal operation state and based on the control system and the control master station, and the coordination optimization module can determine the collaborative optimization scheduling control strategy of the power distribution network source network load storage according to the power equipment hierarchical regulation and control mechanism. A corresponding hierarchical coordination control method is formulated; the control module can establish a stabilizing mechanism and a control strategy of each new energy fluctuation under different time scales according to a change rule and relevance and in combination with a power equipment hierarchical regulation and control mechanism, so that source-network-load-storage integrated coordination control is realized; the device has the advantages of stability, high efficiency, convenience and good use effect.

Description

Technical Field

[0001] The present invention belongs to the technical field of power grid regulation and control, and particularly relates to a hierarchical coordinated control system for power sources, grids, loads and energy storage. Background Art

[0002] A hierarchical coordinated control system for power sources, grids, loads and energy storage centrally stores input power sources of different strengths in different regions, and then reasonably distributes energy according to the demands and quantities of different regions; With the rapid growth of the scale of new energy grid connection and load demand, the safety of power grid operation is affected. In the operation process of traditional power systems, the electricity load of users is generally regarded as randomly uncontrollable. At this time, the power system is a unilateral random system. However, with the large-scale construction and commissioning of renewable energy power generation, affected by the randomness and intermittency of renewable energy power generation, it has changed from the previous unilateral random system to a bilateral random system, which not only seriously affects the safe and stable operation of the power system, but also reduces the overall economic efficiency of the system. Moreover, the intermittent and volatile characteristics of new energy also pose great challenges to new energy consumption and power system coordinated control. The existing control systems cannot use fast coordinated control systems, emergency state stability control master stations, and hierarchical regulation and control of power equipment to achieve intelligent scheduling and management of various power sources, loads and energy storage devices, thus affecting the safe and stable operation level of the power grid and unable to ensure the safe, stable and economic operation of the power grid; Therefore, it is necessary to develop a stable, efficient, convenient and effective hierarchical coordinated control system for power sources, grids, loads and energy storage. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a stable, efficient, convenient and effective hierarchical coordinated control system for power sources, grids, loads and energy storage.

[0004] The purpose of the present invention is achieved as follows: A hierarchical coordinated control system for power sources, grids, loads and energy storage, comprising: A data acquisition module, which is used to acquire basic data, where the basic data includes the day-ahead prediction curve of new energy connected to the system, the day-ahead load prediction curve of user loads, the line power flow regulation characteristics of DSSC, the day-ahead prediction curve of conventional units of conventional units, electricity cost data, operating constraint conditions, and constraint conditions of each power generation unit and system reserve in new energy; A data processing module, which is used to preprocess the acquired basic data to remove local data and obtain screened data; An analysis module, which can determine the abnormal operation state of each power grid at the corresponding time according to the screened data and based on the output and consumption of each power generation new energy at different times; Trimming module, which can adjust the power grid in real time according to the abnormal operation state and based on the fast coordination control system and the main station of emergency state stability control; Coordination and optimization module, which can determine the collaborative optimization scheduling control strategy of the source-network-load-storage in the distribution network according to the hierarchical control mechanism of power equipment, and formulate corresponding hierarchical coordination control methods, so as to realize the collaborative optimization scheduling among multiple regions and different source-network-load-storage. The hierarchical principle is specifically as follows: The distribution network including the source-network-load-storage is divided into three layers: the substation area where the energy storage is located, the adjacent substation areas of the distribution network, and the autonomous region of the regional distribution network. The control goal of the autonomous region of the distribution network is to realize the flexible operation of the entire regional distribution network. Through the coordination and optimization of the operation data of the distribution network based on multi-source data fusion, it directly conducts energy transmission and information interaction with the upper-level distribution network. According to the control goal requirements of the upper-level distribution network, it generates the adjustable capacity of the lower-level autonomous region and the control goal of the tie line, and realizes the flexible coordination control with the adjacent substation areas of the distribution network, distributed power sources or the substation areas where the energy storage is located, so as to realize the autonomous operation of each region and the flexible scheduling control of the tie line; Control module, which can establish the suppression mechanism and control strategy of the fluctuations of each new energy under different time scales according to the change law and correlation, and combine with the hierarchical control mechanism of power equipment to realize the integrated coordinated control of the source-network-load-storage.

[0005] Furthermore, an optimization unit is arranged inside the coordination and optimization module. Through the optimization unit, a two-layer optimization model can be established. The first layer is the multi-objective optimization control with the lowest energy surplus rate and the lowest load power loss rate, and the second layer is the multi-objective optimization control with the lowest operation management cost of the power grid group and the lowest environmental cost of pollutant treatment.

[0006] Furthermore, a storage unit is arranged inside the control module, and the storage unit can be used to store and backup the collected basic data and control instructions.

[0007] Furthermore, an evaluation unit is arranged inside the coordination and optimization module, and the evaluation unit is used to evaluate the collaborative optimization scheduling results of the control strategy.

[0008] Furthermore, information interaction is carried out among the modules in this system through a high-speed communication network. The communication network adopts a self-organizing mesh topology structure, and the communication protocol includes the content of data format, transmission mode and error checking.

[0009] Advantages of the present invention: By providing a data acquisition module, a data processing module, an analysis module, a trimming module, a coordination optimization module, and a control module, the data acquisition module can be used to acquire basic data, the data processing module can be used to preprocess the acquired basic data to remove local data and obtain screened data; the analysis module can determine the abnormal operating state of each power grid at the corresponding time according to the screened data and based on the output and consumption of each new energy source for power generation at different times; the trimming module can perform real-time adjustment on the power grid according to the abnormal operating state and based on the fast coordination control system and the emergency state stability control master station; the coordination optimization module can determine the collaborative optimization scheduling control strategy for the source-network-load-storage of the distribution network according to the hierarchical control mechanism of power equipment, and formulate the corresponding hierarchical coordination control method, so as to realize the collaborative optimization scheduling among multiple regions and different source-network-load-storage; the control module can establish a suppression mechanism and control strategy for the fluctuations of each new energy source at different time scales according to the change law and correlation, and in combination with the hierarchical control mechanism of power equipment, to achieve the integrated coordinated control of the source-network-load-storage; generally, the present invention has the advantages of stability, high efficiency, convenience and good use effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 is a schematic structural diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0011] The present invention will be further described below with reference to the drawings.

[0012] Embodiment: As Figure 1 shown, a hierarchical coordination control system for source-network-load-storage includes: a data acquisition module, which is used to acquire basic data, where the basic data includes the new energy day-ahead prediction curve accessed to the system, the user load day-ahead load prediction curve, the line power flow regulation characteristics of DSSC, the day-ahead conventional unit prediction curve of conventional units, the electric energy cost data, the operation constraint conditions, and the constraint conditions of each power generation unit and system reserve in the new energy; a data processing module, which is used to preprocess the acquired basic data to remove local data and obtain screened data; an analysis module, which can determine the abnormal operating state of each power grid at the corresponding time according to the screened data and based on the output and consumption of each new energy source for power generation at different times; a trimming module, which can perform real-time adjustment on the power grid according to the abnormal operating state and based on the fast coordination control system and the emergency state stability control master station; Coordination and optimization module. The coordination and optimization module can determine the collaborative optimization scheduling control strategy for the source-network-load-storage in the distribution network according to the hierarchical control mechanism of power equipment, and formulate the corresponding hierarchical coordination control method, so as to realize the collaborative optimization scheduling among multiple regions and different source-network-load-storage. The specific layering principle is as follows: The distribution network including source-network-load-storage is divided into three layers: the area where the energy storage is located, the adjacent area of the distribution network, and the autonomous area of the regional distribution network. The control objective of the autonomous area of the distribution network is to realize the flexible operation of the entire regional distribution network. Through the coordination and optimization of the distribution network operation data based on multi-source data fusion, it directly conducts energy transmission and information interaction with the upper-level distribution network. According to the control objective requirements of the upper-level distribution network, it generates the adjustable capacity of the lower-level autonomous area and the control objective of the tie line, and realizes the flexible coordination control with the adjacent area of the distribution network, distributed power sources or the area where the energy storage is located, so as to realize the autonomous operation of each area and the flexible scheduling control of the tie line. Moreover, an optimization unit and an evaluation unit are set inside the coordination and optimization module. Through the optimization unit, a two-layer optimization model can be established. The first layer is the multi-objective optimization control with the lowest energy surplus rate and the lowest load power loss rate, and the second layer is the multi-objective optimization control with the lowest operation management cost of the power grid group and the lowest environmental cost of pollutant treatment. The evaluation unit evaluates the collaborative optimization scheduling result of the control strategy. Control module. The control module can establish the suppression mechanism and control strategy for the fluctuations of each new energy source at different time scales according to the change law and correlation, and in combination with the hierarchical control mechanism of power equipment, so as to realize the integrated coordination control of source-network-load-storage. Moreover, a storage unit is set inside the control module, and the storage unit can be used to store and back up the collected basic data and control instructions.

[0013] The modules in this system conduct information interaction through a high-speed communication network. The communication network adopts a self-organizing mesh topology structure, and the communication protocol includes the content of data format, transmission mode and error checking.

[0014] When the present invention is in use, first, the data acquisition module is used to acquire basic data such as the new energy day-ahead prediction curve connected to the system, the day-ahead load prediction curve of the user load, the line power flow regulation characteristics of the DSSC, the day-ahead conventional unit prediction curve of the conventional unit, the power cost data, the operation constraint conditions, and the constraint conditions of each power generation unit and system reserve in the new energy. Then, the data processing module performs preprocessing operations on the acquired basic data to remove local data and obtain screened data. Then, the analysis module determines the abnormal operation state of each power grid at the corresponding time according to the screened data and based on the output and consumption conditions of each new energy power generation at different times. After that, the trimming module performs real-time adjustment on the power grid according to the abnormal operation state and based on the fast coordination control system and the emergency state stability control master station. Finally, the coordination optimization module determines the collaborative optimization scheduling control strategy for the source-network-load-storage of the distribution network according to the hierarchical regulation mechanism of power equipment, and formulates the corresponding hierarchical coordination control method, so as to realize the collaborative optimization scheduling among multiple regions and different source-network-load-storage. The hierarchical principle is as follows: the distribution network including the source-network-load-storage is divided into three layers: the transformer substation area where the energy storage is located, the adjacent transformer substation area of the distribution network, and the autonomous area of the regional distribution network. The autonomous area of the distribution network aims to achieve the flexible operation of the entire regional distribution network. Through the coordinated optimization of the distribution network operation data based on multi-source data fusion, it directly conducts energy transmission and information interaction with the upper-level distribution network. According to the control target requirements of the upper-level distribution network, it generates the adjustable capacity of the lower-level autonomous area and the control target of the tie line, and realizes flexible coordination control with the adjacent transformer substation area of the distribution network, the distributed power source or the transformer substation area where the energy storage is located, so as to realize the autonomous operation of each region and the flexible scheduling control of the tie line. During this process, the optimization unit can establish a two-layer optimization model. The first layer is the multi-objective optimization control with the lowest energy surplus rate and the lowest load power loss rate. The second layer is the multi-objective optimization control with the lowest operation management cost of the power grid group and the lowest environmental cost of pollutant treatment. The evaluation unit evaluates the collaborative optimization scheduling result of the control strategy. Finally, the control module, according to the change law and correlation, combines the hierarchical regulation mechanism of power equipment to establish the suppression mechanism and control strategy for the fluctuations of each new energy at different time scales, and realizes the integrated coordinated control of the source-network-load-storage. Generally, the present invention has the advantages of stability, high efficiency, convenience and good use effect.

[0015] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that the specific implementation manners of the present invention can still be modified or equivalently replaced. Any modification or equivalent replacement without departing from the spirit and scope of the present invention shall be covered by the scope of the claims of the present invention.

Claims

1. A hierarchical coordinated control system for source-network-load-storage, characterized in that: Including: A data acquisition module, which is used to acquire basic data, where the basic data includes the daily prediction curve of new energy accessing the system, the daily load prediction curve of user load, the line power flow regulation characteristics of DSSC, the daily prediction curve of conventional units of conventional units, power cost data, operation constraint conditions, and constraint conditions of each power generation unit and system reserve in new energy; A data processing module, which is used to preprocess the acquired basic data to remove local data and obtain filtered data; An analysis module, which can determine the abnormal operation state of each power grid at the corresponding time according to the filtered data and based on the output and consumption conditions of each new energy power generation at different times; A trimming module, which can perform real-time adjustment on the power grid according to the abnormal operation state and based on the fast coordination control system and the emergency state stability control master station; A coordination optimization module, which can determine the collaborative optimization scheduling control strategy of the source-network-load-storage of the distribution network according to the hierarchical control mechanism of power equipment, and formulate corresponding hierarchical coordination control methods to achieve collaborative optimization scheduling among multiple regions and different source-network-load-storage. The hierarchical principle is specifically as follows: The distribution network including the source-network-load-storage is divided into three layers: the transformer substation area where the energy storage is located, the adjacent transformer substation area of the distribution network, and the autonomous area of the regional distribution network. The autonomous area of the distribution network aims to achieve the flexible operation of the entire regional distribution network. Through the coordinated optimization of the operation data of the distribution network based on multi-source data fusion, it directly conducts energy transmission and information interaction with the upper-level distribution network. According to the control target requirements of the upper-level distribution network, it generates the adjustable capacity of the lower-level autonomous area and the control target of the tie line, and realizes flexible coordination control with the adjacent transformer substation area of the distribution network, distributed power sources or the transformer substation area where the energy storage is located, so as to achieve the autonomous operation of each area and the flexible scheduling control of the tie line; A control module, which can establish a suppression mechanism and control strategy for the fluctuations of each new energy at different time scales according to the change law and correlation, and combine with the hierarchical control mechanism of power equipment to achieve integrated coordinated control of the source-network-load-storage.

2. The hierarchical coordinated control system for source-network-load-storage according to claim 1, characterized in that: An optimization unit is set inside the coordination optimization module. Through the optimization unit, a two-layer optimization model can be established. The first layer is multi-objective optimization control with the lowest energy surplus rate and the lowest load power loss rate, and the second layer is multi-objective optimization control with the lowest operation management cost of the power grid group and the lowest environmental cost of pollutant treatment.

3. The hierarchical coordinated control system of source-network-load-storage according to claim 1, wherein: A storage unit is set inside the control module, and the storage unit can be used to store and back up the acquired basic data and control instructions.

4. A source-network-load-storage hierarchical coordination control system according to claim 1, characterized in that: An evaluation unit is set inside the coordination optimization module, and the evaluation unit is used to evaluate the collaborative optimization scheduling results of the control strategy.

5. The hierarchical coordinated control system for source-network-load-storage according to claim 1, characterized in that: Information interaction among the modules in this system is carried out through a high-speed communication network. The communication network adopts a self-organizing mesh topology structure, and the communication protocol includes the content of data format, transmission method, and error checking.

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