CN110989403B - Comprehensive energy regulation and control system, control method thereof and server - Google Patents
Comprehensive energy regulation and control system, control method thereof and server Download PDFInfo
- Publication number
- CN110989403B CN110989403B CN201911397489.XA CN201911397489A CN110989403B CN 110989403 B CN110989403 B CN 110989403B CN 201911397489 A CN201911397489 A CN 201911397489A CN 110989403 B CN110989403 B CN 110989403B
- Authority
- CN
- China
- Prior art keywords
- simulation model
- energy system
- comprehensive energy
- state information
- optimization strategy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000004088 simulation Methods 0.000 claims abstract description 170
- 238000005457 optimization Methods 0.000 claims description 115
- 230000002159 abnormal effect Effects 0.000 claims description 32
- 238000004422 calculation algorithm Methods 0.000 claims description 13
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 239000004973 liquid crystal related substance Substances 0.000 claims 2
- 230000005856 abnormality Effects 0.000 description 6
- 238000012795 verification Methods 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
Abstract
The embodiment of the application relates to the technical field of smart grids, and discloses a comprehensive energy regulation and control system, a control method thereof and a server. In the application, the current operation data of the comprehensive energy system is obtained; predicting operation data of the comprehensive energy system at the next moment according to the current operation data; and sending the operation data of the next moment to a simulation model of the comprehensive energy system, so that the simulation model can operate the operation data of the next moment to obtain the operation state information of the simulation model. The operation state of the actual comprehensive energy system at the next moment is predicted, the predicted data is simulated in advance, and the operation state of the comprehensive energy system at the next moment is predicted based on the operation state information obtained by simulation, so that the purpose of predicting the operation state information of the comprehensive energy system is achieved.
Description
Technical Field
The embodiment of the application relates to the technical field of intelligent power grids, in particular to a comprehensive energy regulation and control system, a control method thereof and a server.
Background
Along with the development of society and the progress of production activities, the demands of people on energy are continuously increased, and the production, consumption and conversion among various forms of energy are required to be uniformly regulated, so that an integrated energy regulation and control system is generated. The comprehensive energy regulation and control system strengthens the connection and coordination operation among various energy sources, reduces the cost of energy consumption and improves the reliability of system operation. The comprehensive energy regulation and control system in the prior art mainly operates the comprehensive energy system firstly, then obtains operation data generated by the comprehensive energy system, and regulates and controls the comprehensive energy system according to the operation data.
The inventor finds that at least the following problems exist in the prior art: the traditional comprehensive energy management system has time hysteresis, and the safety and reliability of the system are low.
Disclosure of Invention
The embodiment of the application aims to provide a comprehensive energy regulation and control system, a control method thereof and a server, and the purpose of prejudging the comprehensive energy system is achieved.
In order to solve the technical problems, the embodiment of the application provides a control method of an integrated energy regulation system, which comprises the following steps: acquiring current operation data of a comprehensive energy system; predicting operation data of the comprehensive energy system at the next moment according to the current operation data; and sending the operation data of the next moment to a simulation model of the comprehensive energy system, so that the simulation model can operate the operation data of the next moment to obtain the operation state information of the simulation model.
The embodiment of the application also provides a server, which comprises: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the control method of the integrated energy regulation system.
The embodiment of the application also provides a comprehensive energy regulation system, which comprises: a server, a simulation device; the server is connected with the comprehensive energy system and the simulation equipment; the server is used for predicting the operation data of the actual comprehensive energy system at the next moment according to the obtained current operation data of the actual comprehensive energy system and sending the operation data of the actual comprehensive energy system at the next moment to the simulation equipment; the simulation equipment is used for running the next moment of running data in the simulation model and generating running state information of the simulation model.
Compared with the prior art, the method and the device for predicting the operation state of the comprehensive energy system have the advantages that the operation data of the actual comprehensive energy system at the next moment is predicted, the predicted data are simulated in advance, the operation state of the comprehensive energy system at the next moment is predicted based on the operation state information obtained through simulation, and the purpose of predicting the operation state information of the comprehensive energy system is achieved.
In addition, after the running state information of the simulation model is obtained, the method further comprises the following steps: determining whether the simulation model has abnormal operation according to the operation state information of the simulation model; if abnormal operation occurs, generating an optimization strategy according to the operation state information of the simulation model, wherein the optimization strategy comprises an adjustment strategy for configuration parameters of the comprehensive energy system; and sending the optimization strategy to the comprehensive energy system for the comprehensive energy system to optimize based on the optimization strategy. When the running state information of the simulation model is abnormal, an optimization strategy is generated based on the abnormal state information and is sent to the comprehensive energy system to be optimized in time, so that the comprehensive energy system can be optimized in time before the abnormality occurs, and the reliability and safety of the comprehensive energy system are improved.
In addition, before the optimizing strategy is sent to the comprehensive energy system, the method further comprises: transmitting the optimization strategy to the simulation model, and optimizing and re-operating the next moment of operation data by the simulation model based on the optimization strategy to obtain the operation state information of the optimized simulation model; determining whether the operation of the simulation model is abnormal or not according to the optimized operation state information of the simulation model; and if no abnormal operation occurs, sending the optimization strategy to the comprehensive energy system. Before the optimization strategy is sent to the comprehensive energy system, the optimization strategy is sent to the simulation model for verification, so that the reliability and safety of the system are further improved.
In addition, the number of the optimization strategies is a plurality; after generating the optimization strategy according to the running state information of the simulation model, the method further comprises the following steps: scoring the plurality of optimization strategies according to a preset scoring rule, and sequencing the plurality of optimization strategies according to scoring scores, wherein the optimization strategy with the highest scoring score is positioned at a first position; the sending the optimization strategy to the integrated energy system comprises: and sending the first-order optimization strategy to the comprehensive energy system. By setting a plurality of optimization strategies and sending the first orthotopic optimization strategy with the highest score to the comprehensive energy system, the comprehensive energy system can be optimized according to the optimization strategy with the highest score, and the reliability and safety of the comprehensive energy system are further improved.
In addition, before the first-order optimization strategy is sent to the comprehensive energy system, the method comprises the following steps: and sequentially sending the plurality of optimization strategies to the simulation model according to the order arrangement for optimizing and rerun the next moment of operation data of the simulation model until the operation state information of the simulation model is judged to be normal, and sending the optimization strategies adopted when the operation state information is normal to the comprehensive energy system. And sequentially sending a plurality of optimization strategies to the simulation model for verification according to the order arrangement until the running state information of the simulation model is normal, so that the reliability and the safety of the system are further improved.
In addition, the predicting the operation data of the comprehensive energy system at the next moment according to the current operation data comprises the following steps: and calculating the current operation data by using a high-precision single-step algorithm to obtain the operation data of the comprehensive energy system at the next moment. By adopting a high-precision single-step algorithm, the accuracy of calculating the next moment of operation data of the comprehensive energy system is improved.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which the figures of the drawings are not to be taken in a limiting sense, unless otherwise indicated.
FIG. 1 is a schematic flow chart of a control method of an integrated energy regulation system according to a first embodiment of the present application;
FIG. 2 is a schematic flow chart of a control method of the integrated energy management system according to a second embodiment of the present application;
FIG. 3 is a schematic flow chart of a control method of the integrated energy management system according to a third embodiment of the present application;
fig. 4 is a schematic diagram of a server according to a fourth embodiment of the present application;
fig. 5 is a schematic structural view of an integrated energy regulation system according to a fifth embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the following detailed description of the embodiments of the present application will be given with reference to the accompanying drawings. However, those of ordinary skill in the art will understand that in various embodiments of the present application, numerous technical details have been set forth in order to provide a better understanding of the present application. However, the claimed application may be practiced without these specific details and with various changes and modifications based on the following embodiments. The following embodiments are divided for convenience of description, and should not be construed as limiting the specific implementation of the present application, and the embodiments can be mutually combined and referred to without contradiction.
The first embodiment of the application relates to a control method of an integrated energy regulation system. In this embodiment, the present application includes: acquiring current operation data of a comprehensive energy system; predicting the next moment of operation data of the comprehensive energy system according to the current operation data; and transmitting the operation data of the next moment to a simulation model of the comprehensive energy system, so that the operation data of the simulation model of the next moment can be operated, and the operation state information of the simulation model can be obtained. The operation state of the actual comprehensive energy system at the next moment is predicted, the predicted data is simulated in advance, and the operation state of the comprehensive energy system at the next moment is predicted based on the operation state information obtained by simulation, so that the purpose of prejudging the operation state information of the comprehensive energy system is achieved.
The control method of the integrated energy regulation system in this embodiment is shown in fig. 1, and specifically includes:
step 101, current operation data of the comprehensive energy system are obtained. Specifically, the comprehensive energy regulation and control system comprises a server and simulation equipment, wherein the comprehensive energy system is an actual running system, the simulation equipment comprises a plurality of simulators, and a simulation model of the comprehensive energy system is run. The server is connected with the comprehensive energy system and is used for receiving the current operation data of the comprehensive energy system, such as a current value, a voltage value and the like of a power grid in the comprehensive energy system, when the comprehensive energy system sends the current operation data.
Step 102, predicting the operation data of the comprehensive energy system at the next moment according to the current operation data.
Specifically, after receiving current operation data of the integrated energy system, the server predicts operation data of the integrated energy system at the next moment according to the current operation data.
In one example, the current operation data is operated by using a high-precision single-step algorithm to obtain the operation data of the comprehensive energy system at the next moment. The high-precision single-step algorithm is a single-step algorithm with high precision of Runge-Kutta (Dragon-Kutta) used in simulink (visual simulation tool) software, and can decompose a continuous system into a discrete system with a fixed step length for calculation, so that the calculation precision is high, and the accuracy of predicting the next moment of operation data is improved.
And step 103, transmitting the operation data of the next moment to a simulation model of the comprehensive energy system for the simulation model to operate the operation data of the next moment to obtain the operation state information of the simulation model.
Specifically, the comprehensive energy regulation system further comprises simulation equipment, the server is connected with the simulation machine, and a simulation model of the actual comprehensive energy system is stored in the simulation equipment. After predicting the operation data of the comprehensive energy system at the next moment, the server sends the operation data of the next moment to a simulation model in simulation equipment for the simulation model to operate the operation data of the comprehensive energy system at the next moment, namely the simulation model simulates the operation state of the comprehensive energy system at the next moment to generate operation state information, for example, information such as current value, voltage value change condition and the like of a power grid in the comprehensive energy system, and the server can obtain the operation state information of the operation data of the simulation model at the next moment.
In the embodiment, the operation state of the next moment of the integrated energy system is pre-judged by predicting the operation data of the next moment of the actual integrated energy system and simulating the predicted data in advance based on the operation state information obtained by simulation, so that the purpose of pre-judging the operation state information of the integrated energy system is realized.
A second embodiment of the present application relates to a control method of an integrated energy control system, which is substantially the same as the first embodiment, and is mainly different in that: after obtaining the running state information of the simulation model, the method further comprises the following steps: determining whether the simulation model has abnormal operation according to the operation state information of the simulation model; and if the operation abnormality occurs, generating an optimization strategy according to the operation state information of the simulation model.
The control method of the integrated energy regulation system in this embodiment is shown in fig. 2, and specifically includes:
step 201, current operation data of the integrated energy system is obtained.
Step 202, predicting the operation data of the comprehensive energy system at the next moment according to the current operation data.
And 203, transmitting the operation data of the next moment to a simulation model of the comprehensive energy system, so that the operation data of the simulation model of the next moment can be operated, and the operation state information of the simulation model can be obtained.
Step 204, determining whether the simulation model has abnormal operation according to the operation state information of the simulation model.
Specifically, after the server obtains the operation state information of the operation data of the simulation model at the next moment, the operation state information may be abnormal, so as to improve the reliability and the safety of the integrated energy system, adjust the abnormal situation in time, and therefore, after the server obtains the operation state information of the simulation model, the method further includes: and determining whether the simulation model has abnormal operation according to the operation state information of the simulation model.
Specifically, when an operation abnormality occurs in the simulation model, the process proceeds to step 205; and when the simulation model runs normally, ending.
In one example, a standard operation state information is preset in the server, the operation state information of the simulation model is compared with the standard operation state information, if the comparison result is consistent, the operation state information is normal, and if the comparison result is inconsistent, the operation state information is abnormal, so that the server generates an optimization strategy according to the operation state information of the simulation model, wherein the optimization strategy comprises an adjustment strategy for configuration parameters of the integrated energy system, for example, adjustment for voltage values, current values, equipment switches and the like in the integrated energy system. In other examples, an algorithm may be preset in the server, and by performing an operation on the running state information of the simulation model, it is determined whether the running state information of the simulation model is abnormal.
Step 205, generating an optimization strategy according to the running state information of the simulation model.
Specifically, the optimization strategy includes an adjustment strategy for configuration parameters of the integrated energy system.
And 206, transmitting the optimization strategy to the comprehensive energy system for the comprehensive energy system to optimize based on the optimization strategy.
In one example, before sending the optimization strategy to the integrated energy system, further comprising: transmitting the optimization strategy to the simulation model, so that the simulation model optimizes and rerun the next moment of operation data based on the optimization strategy to obtain the operation state information of the optimized simulation model; determining whether the simulation model is abnormal in operation or not according to the running state information of the optimized simulation model; and if no abnormal operation occurs, sending the optimization strategy to the comprehensive energy system. Before the optimization strategy is sent to the comprehensive energy system, the optimization strategy is sent to the simulation model for verification, so that the reliability and safety of the system are further improved.
Steps 201 to 203 in this embodiment are the same as steps 101 to 103 in the first embodiment, and the specific details are substantially the same, and are not described in detail herein. According to the method, when the running state information of the simulation model is abnormal, the optimization strategy is generated based on the abnormal state information and is sent to the comprehensive energy system to be optimized in time, so that the comprehensive energy system can be optimized in time before the abnormality occurs, and the reliability and safety of the comprehensive energy system are improved.
The third embodiment of the application relates to a control method of an integrated energy regulation system. The third embodiment is substantially the same as the second embodiment, and differs mainly in that: the number of optimization strategies is a plurality.
The control method of the integrated energy regulation system in this embodiment is shown in fig. 3, and specifically includes:
step 301, current operation data of the integrated energy system is obtained.
Step 302, predicting the operation data of the comprehensive energy system at the next moment according to the current operation data.
Step 303, the operation data of the next moment is sent to the simulation model of the integrated energy system, so that the operation data of the simulation model of the next moment can be operated, and the operation state information of the simulation model can be obtained.
Step 304, determining whether the simulation model has abnormal operation according to the operation state information of the simulation model.
Step 305, generating a plurality of optimization strategies according to the running state information of the simulation model.
When the operation abnormality occurs in the simulation model, generating a plurality of optimization strategies according to the operation state information of the simulation model.
And 306, scoring the plurality of optimization strategies according to a preset scoring rule, and sequencing the plurality of optimization strategies according to scoring scores.
Specifically, the optimization strategies are arranged according to the scoring values, the optimization strategy with the highest scoring value is placed in the first order, and the optimization strategy with the lowest scoring value is placed in the last order.
And step 307, transmitting the Nth order optimization strategy to the simulation model.
Specifically, the Nth order optimization strategy is sent to the simulation model, so that the simulation model can optimize and rerun the next moment of operation data based on the Nth order optimization strategy, and the optimized operation state information is obtained.
In one example, the first-order optimization strategy may be directly sent to the integrated energy system for optimization by the integrated energy system based on the first-order optimization strategy. By setting a plurality of optimization strategies and sending the first cis-optimization strategy with the highest score to the comprehensive energy system, the reliability and the safety of the system are further improved.
In one example, the first-order optimization strategy is sent to the simulation model, so that the simulation model can optimize and rerun operation data of the next moment based on the first-order optimization strategy, and operation state information of the optimized simulation model is obtained. If the running state information is abnormal, sequentially sending a plurality of optimization strategies to the simulation model for optimization according to the order, and rerun running data of the next moment until the running state information of the simulation model is judged to be normal, and sending the optimization strategies adopted when the running state information is normal to the comprehensive energy system.
Step 308, determining whether the simulation model has abnormal operation according to the operation state information of the optimized simulation model.
Specifically, when the simulation model is that no operational anomaly has occurred, step 309 is entered; when an operational anomaly occurs in the simulation model, step 310 is entered.
And 309, transmitting the Nth orthotopic optimization strategy to the comprehensive energy system for the comprehensive energy system to optimize based on the optimization strategy.
Step 310, n=n+1.
Specifically, when the simulation model is optimized according to the Nth order optimization strategy and abnormal operation occurs, the (n+1) th order optimization strategy is sent to the simulation model for verification.
Steps 301 to 304 in the present embodiment are the same as steps 201 to 204 in the second embodiment, and the specific content and details are substantially the same, and are not described in detail herein. In the embodiment, a plurality of optimization strategies are sequentially sent to the simulation model for verification according to the order until the running state information of the simulation model is normal, so that the reliability and the safety of the system are further improved.
The above steps of the methods are divided, for clarity of description, and may be combined into one step or split into multiple steps when implemented, so long as they include the same logic relationship, and they are all within the protection scope of this patent; it is within the scope of this patent to add insignificant modifications to the algorithm or flow or introduce insignificant designs, but not to alter the core design of its algorithm and flow.
A fourth embodiment of the application is directed to a server, as shown in fig. 4, comprising at least one processor 402; and a memory 401 communicatively coupled to the at least one processor; the memory 401 stores instructions executable by the at least one processor 402, and the instructions are executed by the at least one processor 402, so that the at least one processor 402 can execute the control method of the integrated energy regulation system.
Where memory 401 and processor 402 are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the buses connecting together one or more of the processor 402 and the various circuits of the memory 401. The bus may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor 402.
The processor 402 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 401 may be used to store data used by processor 402 in performing operations.
A fifth embodiment of the present application relates to an integrated energy regulation system, as shown in fig. 5, comprising: a server 501, an emulation device 502; the server 501 is connected with the comprehensive energy system 503 and the simulation equipment 502; the server 501 is configured to predict operation data of the actual integrated energy system 503 at a next moment according to the obtained current operation data of the actual integrated energy system 503, and send the operation data of the next moment to the simulation device 502; the simulation device 502 stores a simulation model of the actual integrated energy system 503, and the simulation device 502 is used for running data of the simulation model at the next moment and generating running state information of the simulation model.
In one example, simulation device 502 includes N simulators for dividing a simulation model into N sub-models and pre-storing the N simulators, respectively. The simulation device 502 further includes a plurality of controllers, and since some of the N simulators may have control portions that cannot simulate the submodels, the simulation device needs to implement control of the submodels of the simulators by using the controllers.
In one example, the integrated energy regulation system further includes a console 504, where the console 504 is connected to the server 501, and the console 504 is configured to construct a simulation model, divide the simulation model into a plurality of sub-models, and send the sub-models to N simulators in the simulation device 502 through the server 501. After receiving the simulation model sent by the console 504, the server 501 compiles the simulation model and sends the simulation model to the simulation device 502. In other examples, multiple consoles 404 may be provided in an integrated energy regulation system.
In this embodiment, the console 504 is connected to the server 501 via a TCP/IP (Transmission Control Protocol/Internet Protocol ) protocol and transmits data.
In this embodiment, the console 504 is further configured to generate an integrated energy system optimization algorithm, and send the integrated energy system optimization algorithm to the server, so that the server generates an optimization strategy for the integrated energy system according to the optimization algorithm.
In this embodiment, the console is used to monitor the operating states of the integrated energy system and the simulation device.
In one example, the server 501 is further configured to determine, according to the operation state information of the simulation model, whether an operation abnormality occurs in the simulation model; when the simulation model is abnormal in operation, an integrated energy system optimization algorithm is used, and an optimization strategy is generated according to the operation state information of the simulation model, wherein the optimization strategy comprises an adjustment strategy for configuration parameters of the integrated energy system; the server 501 is further configured to send the optimization strategy to the integrated energy system 503, so that the integrated energy system 503 performs optimization based on the optimization strategy.
In one example, the server is further configured to send the optimization strategy to the simulation device before sending the optimization strategy to the integrated energy system, so that the simulation model performs optimization according to the optimization strategy and rerun the next moment of operation data to obtain operation state information after optimization of the simulation model; the server is also used for determining whether the simulation model has abnormal operation or not according to the optimized operation state information; and when the simulation model does not have abnormal operation, sending the optimization strategy to the comprehensive energy system.
In one example, the server is also connected to a display device. The display device includes, for example: the system comprises two large display screens and a display server, wherein the display server is connected with the server through a high-speed interface, and the operation states of the comprehensive energy operation scene and the simulation equipment, such as the voltage and current states of an electric field group, the voltage and current states of the whole power grid and the like, can be displayed through the two large display screens.
In this embodiment, a comprehensive energy regulation and control system is provided, and the system predicts the operation state of the comprehensive energy system at the next moment by predicting the operation data of the actual comprehensive energy system at the next moment and simulating the predicted data in advance, and based on the operation state information obtained by the simulation, the reliability and the safety of the comprehensive energy system can be improved.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples of carrying out the application and that various changes in form and details may be made therein without departing from the spirit and scope of the application.
Claims (9)
1. A control method of an integrated energy regulation system, comprising:
acquiring current operation data of a comprehensive energy system;
predicting operation data of the comprehensive energy system at the next moment according to the current operation data;
transmitting the operation data of the next moment to a simulation model of the comprehensive energy system, and enabling the simulation model to operate the operation data of the next moment to obtain operation state information of the simulation model;
after the running state information of the simulation model is obtained, the method further comprises the following steps:
determining whether the simulation model has abnormal operation according to the operation state information of the simulation model;
if abnormal operation occurs, generating an optimization strategy according to the operation state information of the simulation model, wherein the optimization strategy comprises an adjustment strategy for configuration parameters of the comprehensive energy system;
the optimization strategy is sent to the comprehensive energy system, and the comprehensive energy system is optimized based on the optimization strategy;
the number of the optimization strategies is a plurality of; after generating the optimization strategy according to the running state information of the simulation model, the method further comprises the following steps:
scoring the plurality of optimization strategies according to a preset scoring rule, and sequencing the plurality of optimization strategies according to scoring scores, wherein the optimization strategy with the highest scoring score is positioned at a first position;
the sending the optimization strategy to the integrated energy system comprises:
and sending the first-order optimization strategy to the comprehensive energy system.
2. The method of controlling an integrated energy management system according to claim 1, further comprising, prior to said sending the optimization strategy to the integrated energy system:
transmitting the optimization strategy to the simulation model, and optimizing and re-operating the next moment of operation data by the simulation model based on the optimization strategy to obtain the operation state information of the optimized simulation model;
determining whether the operation of the simulation model is abnormal or not according to the optimized operation state information of the simulation model;
and if no abnormal operation occurs, sending the optimization strategy to the comprehensive energy system.
3. The method for controlling an integrated energy management system according to claim 1, wherein before the first-order optimization strategy is sent to the integrated energy management system, the method comprises:
and sequentially sending the plurality of optimization strategies to the simulation model according to the order arrangement for optimizing and rerun the next moment of operation data of the simulation model until the operation state information of the simulation model is judged to be normal, and sending the optimization strategies adopted when the operation state information is normal to the comprehensive energy system.
4. The control method of the integrated energy management system according to claim 1, wherein predicting the operation data of the integrated energy system at the next moment according to the current operation data includes:
and calculating the current operation data by using a high-precision single-step algorithm to obtain the operation data of the comprehensive energy system at the next moment.
5. A server, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the control method of the integrated energy regulation system according to any one of claims 1 to 4.
6. An integrated energy regulation system, comprising: the system comprises a server and simulation equipment, wherein the server is connected with a comprehensive energy system and the simulation equipment;
the server is used for predicting the operation data of the actual comprehensive energy system at the next moment according to the acquired current operation data of the comprehensive energy system and sending the operation data of the actual comprehensive energy system at the next moment to the simulation equipment;
the simulation equipment is used for running the next moment of running data in the simulation model and generating running state information of the simulation model;
the server is also used for determining whether the simulation model has abnormal operation or not according to the operation state information of the simulation model; generating an optimization strategy according to the running state information of the simulation model when the simulation model is abnormal in running, wherein the optimization strategy comprises an adjustment strategy for configuration parameters of the comprehensive energy system;
the server is further used for sending the optimization strategy to the comprehensive energy system for the comprehensive energy system to optimize based on the optimization strategy;
the number of the optimization strategies is a plurality of; after generating the optimization strategy according to the running state information of the simulation model, the method further comprises the following steps:
scoring the plurality of optimization strategies according to a preset scoring rule, and sequencing the plurality of optimization strategies according to scoring scores, wherein the optimization strategy with the highest scoring score is positioned at a first position;
the sending the optimization strategy to the integrated energy system comprises:
and sending the first-order optimization strategy to the comprehensive energy system.
7. The integrated energy regulation system of claim 6, wherein the simulation device includes N simulators for dividing the simulation model into N sub-models and respectively pre-storing in the N simulators.
8. The integrated energy regulation system of claim 6 further comprising a console, the console being coupled to the server, the console being configured to construct the simulation model and send the simulation model to the simulation device via the server.
9. The integrated energy regulation system of claim 6, wherein the server is further configured to send the optimization strategy to the simulation device before sending the optimization strategy to the integrated energy system, so that the simulation model performs optimization according to the optimization strategy and re-operates the next moment of operation data to obtain operation state information after the optimization of the simulation model;
the server is also used for determining whether the simulation model has abnormal operation or not according to the optimized operation state information; and when the simulation model does not have abnormal operation, the optimization strategy is sent to the comprehensive energy system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911397489.XA CN110989403B (en) | 2019-12-30 | 2019-12-30 | Comprehensive energy regulation and control system, control method thereof and server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911397489.XA CN110989403B (en) | 2019-12-30 | 2019-12-30 | Comprehensive energy regulation and control system, control method thereof and server |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110989403A CN110989403A (en) | 2020-04-10 |
| CN110989403B true CN110989403B (en) | 2023-10-31 |
Family
ID=70078974
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911397489.XA Active CN110989403B (en) | 2019-12-30 | 2019-12-30 | Comprehensive energy regulation and control system, control method thereof and server |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110989403B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112100870B (en) * | 2020-11-18 | 2021-04-20 | 中国电力科学研究院有限公司 | Dynamic simulation system and method of comprehensive energy system |
| CN113160638B (en) * | 2021-01-25 | 2022-06-17 | 北京科东电力控制系统有限责任公司 | Energy efficiency diagnosis simulation training system of comprehensive energy system |
| CN113269435B (en) * | 2021-05-21 | 2023-02-17 | 国网山东省电力公司电力科学研究院 | New energy station running state coupling monitoring and evaluating system |
| CN115903549B (en) * | 2023-01-06 | 2023-05-30 | 国网浙江省电力有限公司金华供电公司 | Scheduling strategy screening method and device of comprehensive energy system based on TwinCAT3 |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7184903B1 (en) * | 2006-03-16 | 2007-02-27 | Vrb Power Systems Inc. | System and method for a self-healing grid using demand side management techniques and energy storage |
| CN103995948A (en) * | 2013-07-19 | 2014-08-20 | 南方电网科学研究院有限责任公司 | Oscillation center voltage prediction method based on polynomial model |
| CN105656207A (en) * | 2016-03-10 | 2016-06-08 | 南京国电南自电网自动化有限公司 | On-line real-time stable control system and control method of electric power system |
| CN106202722A (en) * | 2016-07-11 | 2016-12-07 | 上海科梁信息工程股份有限公司 | Large-scale power grid information physical real-time simulation platform |
| CN108879952A (en) * | 2018-07-09 | 2018-11-23 | 南京国电南自电网自动化有限公司 | Based on Real-time Decision-real-time control mode safety stabilization control system and method |
| CN110164128A (en) * | 2019-04-23 | 2019-08-23 | 银江股份有限公司 | A kind of City-level intelligent transportation analogue system |
| CN110286606A (en) * | 2019-07-02 | 2019-09-27 | 北方工业大学 | Comprehensive energy microgrid control experiment system based on semi-physical simulation |
| CN110334385A (en) * | 2019-05-09 | 2019-10-15 | 南方电网科学研究院有限责任公司 | Test method, device and the equipment of integrated energy system central controller |
-
2019
- 2019-12-30 CN CN201911397489.XA patent/CN110989403B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7184903B1 (en) * | 2006-03-16 | 2007-02-27 | Vrb Power Systems Inc. | System and method for a self-healing grid using demand side management techniques and energy storage |
| CN103995948A (en) * | 2013-07-19 | 2014-08-20 | 南方电网科学研究院有限责任公司 | Oscillation center voltage prediction method based on polynomial model |
| CN105656207A (en) * | 2016-03-10 | 2016-06-08 | 南京国电南自电网自动化有限公司 | On-line real-time stable control system and control method of electric power system |
| CN106202722A (en) * | 2016-07-11 | 2016-12-07 | 上海科梁信息工程股份有限公司 | Large-scale power grid information physical real-time simulation platform |
| CN108879952A (en) * | 2018-07-09 | 2018-11-23 | 南京国电南自电网自动化有限公司 | Based on Real-time Decision-real-time control mode safety stabilization control system and method |
| CN110164128A (en) * | 2019-04-23 | 2019-08-23 | 银江股份有限公司 | A kind of City-level intelligent transportation analogue system |
| CN110334385A (en) * | 2019-05-09 | 2019-10-15 | 南方电网科学研究院有限责任公司 | Test method, device and the equipment of integrated energy system central controller |
| CN110286606A (en) * | 2019-07-02 | 2019-09-27 | 北方工业大学 | Comprehensive energy microgrid control experiment system based on semi-physical simulation |
Non-Patent Citations (1)
| Title |
|---|
| 电网电压不对称时基于预测电流的双馈风电系统优化控制;张建华;《电网技术》;20121230;第36卷(第12期);第228-236页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110989403A (en) | 2020-04-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110989403B (en) | Comprehensive energy regulation and control system, control method thereof and server | |
| US11119455B2 (en) | Control system database systems and methods | |
| CN107303675A (en) | Optimize the cell controller of the action of the production system with many industrial machineries | |
| CN107003644B (en) | Method for controlling a process plant using redundant local supervisory controllers | |
| EP3671374A1 (en) | Method and system for determining system settings for an industrial system | |
| US8155763B2 (en) | Operation control method, operation control device, and operation control system | |
| CN112213994A (en) | Real-time control using guided predictive simulation within a control system of a process plant | |
| US20130132059A1 (en) | Multiple plc simulation system | |
| KR101328224B1 (en) | Virtual facility system for manufacturing steel and operating method thereof | |
| WO2011052878A1 (en) | Integrated system and method for verifying dcs | |
| JP2011041435A (en) | Power-system monitor control system training device | |
| JP6885085B2 (en) | Control device, control method, and control program | |
| CN111684367B (en) | Control device, control system, control method, and computer-readable storage medium | |
| JP6946654B2 (en) | Control device, control method, and control program | |
| CN105761590A (en) | Power grid simulation training system and method | |
| CN111308910B (en) | Simulation teaching platform for electric power system | |
| US8170696B2 (en) | Process control simulator and process control simulating method | |
| CN111563324A (en) | Flight control system simulation method, flight control system simulation platform, flight control system simulation server and storage medium | |
| US9274515B2 (en) | Systems and methods for recording data associated with the operation of foundation fieldbus devices | |
| US20210083475A1 (en) | System operation support device and method in power system, and wide-area monitoring protection control system | |
| CN107450346B (en) | Simulation device and operation method thereof | |
| KR20090021999A (en) | Plant controlling device simulation system | |
| KR20170028699A (en) | Virtual device management apparatus based on scenario for distributed energy resources | |
| JPH11178213A (en) | System for stabilizing power system and system for monitoring stability of power system | |
| US20220377004A1 (en) | Network simulator, network simulation method, and computer-readable recording medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: Building 4, No. 3533 Hechuan Road, Minhang District, Shanghai, 201103 Applicant after: Shanghai Keliang Information Technology Co.,Ltd. Address before: Room 201, building 6, 829 Yishan Road, Xuhui District, Shanghai 200233 Applicant before: SHANGHAI KELIANG INFORMATION ENGINEERING Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |