CN-122026422-A - Coordination control method, device, medium, product and multi-source heterogeneous energy system

CN122026422ACN 122026422 ACN122026422 ACN 122026422ACN-122026422-A

Abstract

The coordination control method, the coordination control device, the coordination control medium, the coordination control product and the multi-source heterogeneous energy system provided by the embodiment of the application comprise a power grid side, a load of a user side, at least one energy storage end and at least one energy production end. The method comprises the steps of obtaining a public connection point between a power grid side and a user side and electric parameters corresponding to a branch where at least one load of the user side is located, determining a current load state of the user side based on the electric parameters, obtaining load power prediction information of the user side based on the current load state of the user side and a past load state of the user side, and dynamically adjusting working parameters of the load, the energy storage side and the energy production side based on the load power prediction information, production energy prediction information of the energy production side and a charge state of the energy storage side. The method is used for realizing accurate anti-reflux control by classifying and predicting the load and combining with the cooperative adjustment of the multi-source state.

Inventors

LIU HAITAO
JI XIAOJIAN
WANG XIAOLIANG
Xi Yaqing

Assignees

海尔新能源科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260414

Claims (9)

1. The coordination control method applied to the multi-source heterogeneous energy system is characterized in that the multi-source heterogeneous energy system comprises a power grid side, a load of a user side, at least one energy storage end and at least one energy production end; the method comprises the following steps: Acquiring a public connection point between a power grid side and a user side and electric parameters corresponding to at least one branch where the load of the user side is located; Determining the current load state of the user side based on the electrical parameters; inputting a current load state of a user side and a past load state of the user side into a pre-trained time sequence prediction model, wherein the load at least comprises a continuous load, an intermittent load and a fluctuating load; trend fitting is carried out based on the current time sequence characteristics of the user side and the past time sequence characteristics of the user side, and power fluctuation information corresponding to the continuous load is obtained and is used as load power prediction information; Acquiring start-stop time and running power corresponding to the intermittent load as the load power prediction information based on time characteristics and environment parameters corresponding to the current time sequence characteristics of the user side and time characteristics and environment parameters corresponding to the past time sequence characteristics of the user side; acquiring power requirements corresponding to the fluctuating load based on time period characteristics corresponding to the current time sequence characteristics of a user side and time period characteristics corresponding to the past time sequence characteristics, and taking the power requirements as load power prediction information; And dynamically adjusting working parameters of the load, the energy storage end and the energy production end based on the load power prediction information, the production energy prediction information of the energy production end and the charge state of the energy storage end so as to realize the anti-backflow control of the multi-source heterogeneous energy system.
2. The method according to claim 1, wherein the common connection point, the branch in which the at least one load is located, is provided with a non-invasive acquisition device; the obtaining the electrical parameters corresponding to the public connection point between the power grid side and the user side and at least one branch where the load of the user side is located includes: and acquiring the electric parameters corresponding to the public connection point between the power grid side and the user side and at least one branch where the load of the user side is positioned by adopting the non-invasive acquisition device.
3. The method of claim 1, wherein determining a current load status of the user side based on the electrical parameter comprises: extracting harmonic characteristics and transient impact characteristics in the electrical parameters; Inputting the harmonic characteristics and the transient impact characteristics into a pre-trained extraction model to extract nonlinear load characteristics, and determining the load state based on the extracted nonlinear load characteristics.
4. The method according to claim 1, wherein the common connection point, the branch where at least one load on the user side is located, is provided with a non-invasive acquisition device; after the working parameters of the load, the energy storage end and the energy production end are dynamically adjusted, the method further comprises the following steps: the non-invasive acquisition device is adopted to acquire the public connection point between the power grid side and the user side and the electrical parameters corresponding to at least one branch where the load of the user side is located, so as to determine the actual load state of the user side at the current moment; And under the condition that the deviation between the actual load state of the user side and the load power prediction information reaches a preset threshold value, adjusting parameters of the time sequence prediction model based on the actual load state of the user side at the current moment and the corresponding load power prediction information.
5. The method of claim 1, wherein dynamically adjusting the operating parameters of the load, the energy storage, and the energy production based on the load power prediction information, the energy production prediction information, and the state of charge of the energy storage comprises: Under the constraint of reverse power of a user side, the consumption rate of the energy production end and the charge and discharge loss of the energy storage end, a target optimization function is constructed based on the load power prediction information, the production energy prediction information and the charge state; and generating a regulation strategy based on the target optimization function so as to dynamically regulate working parameters of the load, the energy storage end and the energy production end.
6. The coordination control device applied to the multi-source heterogeneous energy system is characterized by comprising a power grid side, a load of a user side, at least one energy storage end and at least one energy production end; the device comprises: the first acquisition module is used for acquiring the public connection point between the power grid side and the user side and the electrical parameters corresponding to at least one branch where the load of the user side is located; the determining module is used for determining the current load state of the user side based on the electrical parameters; The input module is used for inputting the current load state of the user side and the past load state of the user side into a pre-trained time sequence prediction model, wherein the load at least comprises a continuous load, an intermittent load and a fluctuation load; The second acquisition module is used for carrying out trend fitting based on the current time sequence characteristics of the user side and the past time sequence characteristics of the user side to acquire power fluctuation information corresponding to the continuous load as load power prediction information; The second acquisition module is used for acquiring start-stop time and running power corresponding to the intermittent load as the load power prediction information based on the time characteristic and the environment parameter corresponding to the current time sequence characteristic of the user side and the time characteristic and the environment parameter corresponding to the past time sequence characteristic of the user side; The second acquisition module is used for acquiring the power demand corresponding to the fluctuating load as the load power prediction information based on the time period characteristic corresponding to the current time sequence characteristic of the user side and the time period characteristic corresponding to the past time sequence characteristic; And the adjusting module is used for dynamically adjusting the working parameters of the load, the energy storage end and the energy production end based on the load power prediction information, the production energy prediction information of the energy production end and the charge state of the energy storage end so as to realize the anti-backflow control of the multi-source heterogeneous energy system.
7. The multi-source heterogeneous energy system is characterized by comprising a power grid side load, a user side load, at least one energy storage end and at least one energy production end; The multi-source heterogeneous energy system is configured to acquire electric parameters corresponding to a common connection point between a power grid side and a user side and at least one branch where the load is located according to any one of claims 1-5, determine a current load state of the user side based on the electric parameters, input the current load state of the user side and the current load state of the user side into a pre-trained time sequence prediction model, wherein the load at least comprises a continuous load, an intermittent load and a fluctuating load, perform trend fitting based on the current time sequence feature of the user side and the current time sequence feature of the user side to acquire power fluctuation information corresponding to the continuous load as load power prediction information, acquire start-stop time and running power corresponding to the intermittent load based on the time sequence feature of the user side and the environment parameter corresponding to the time sequence feature of the user side as load power prediction information, acquire the time sequence feature corresponding to the current time sequence feature of the user side, acquire the time sequence feature of the intermittent load and the current time sequence feature of the user side as time sequence feature of the user side, and acquire the power fluctuation information corresponding to the continuous load as power prediction information, and control the energy source, and the energy source, the system is stored and the energy source prediction system is controlled.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
9. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 5.

Description

Coordination control method, device, medium, product and multi-source heterogeneous energy system Technical Field The application relates to the technical field of control of power systems, in particular to a coordinated control method, a coordinated control device, a coordinated control medium, a coordinated control product and a multi-source heterogeneous energy system. Background With a large number of distributed photovoltaic access to a micro-grid, anti-reflux has become a key requirement for grid-connected operation. The traditional control mostly depends on ‌ common connection points (Point of Common Coupling, PCC) total power passive power limitation, depends on real-time feedback regulation, is difficult to cope with rapid fluctuation of the photovoltaic and load, is easy to generate instant countercurrent, and is difficult to meet the stable operation requirement on control precision and response speed. The existing load identification and prediction method does not conduct classification modeling on continuous, intermittent and fluctuating loads, only adopts a unified prediction mode, so that the load power prediction accuracy is insufficient, accurate prospective data support cannot be provided for multi-source coordination control, and the regulation and control rationality is poor. The current system does not carry out joint optimization on load classification prediction, new energy output prediction and energy storage state, lacks an intelligent cooperative control mechanism, is difficult to improve the energy utilization rate while guaranteeing backflow prevention, and has the problems of single control target and poor overall operation economy. Disclosure of Invention The embodiment of the application provides a coordinated control method, a coordinated control device, a coordinated control medium, a coordinated control product and a coordinated control multi-source heterogeneous energy system, which are used for realizing accurate anti-backflow control by classifying and predicting three types of loads and combining with multi-source state cooperative regulation. In a first aspect, an embodiment of the present application provides a coordinated control method applied to a multi-source heterogeneous energy system, where the multi-source heterogeneous energy system includes a power grid side, a load on a user side, at least one energy storage end, and at least one energy production end; the method comprises the following steps: Acquiring a public connection point between a power grid side and a user side and electric parameters corresponding to at least one branch where the load of the user side is located; Determining the current load state of the user side based on the electrical parameters; inputting a current load state of a user side and a past load state of the user side into a pre-trained time sequence prediction model, wherein the load at least comprises a continuous load, an intermittent load and a fluctuating load; trend fitting is carried out based on the current time sequence characteristics of the user side and the past time sequence characteristics of the user side, and power fluctuation information corresponding to the continuous load is obtained and is used as load power prediction information; Acquiring start-stop time and running power corresponding to the intermittent load as the load power prediction information based on time characteristics and environment parameters corresponding to the current time sequence characteristics of the user side and time characteristics and environment parameters corresponding to the past time sequence characteristics of the user side; acquiring power requirements corresponding to the fluctuating load based on time period characteristics corresponding to the current time sequence characteristics of a user side and time period characteristics corresponding to the past time sequence characteristics, and taking the power requirements as load power prediction information; And dynamically adjusting working parameters of the load, the energy storage end and the energy production end based on the load power prediction information, the production energy prediction information of the energy production end and the charge state of the energy storage end so as to realize the anti-backflow control of the multi-source heterogeneous energy system. In one possible implementation manner, the public connection point and the branch where at least one load on the user side is located are provided with non-invasive acquisition devices; the obtaining the electrical parameters corresponding to the public connection point between the power grid side and the user side and at least one branch where the load of the user side is located includes: and acquiring the electric parameters corresponding to the public connection point between the power grid side and the user side and at least one branch where the load of the user side is positioned by adopting the non-invasiv