CN110851284A - Dispatcher power flow service method, device and equipment - Google Patents

Dispatcher power flow service method, device and equipment Download PDF

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Publication number
CN110851284A
CN110851284A CN201911128294.5A CN201911128294A CN110851284A CN 110851284 A CN110851284 A CN 110851284A CN 201911128294 A CN201911128294 A CN 201911128294A CN 110851284 A CN110851284 A CN 110851284A
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Prior art keywords
load flow
flow calculation
preset
dispatcher
user
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Inventor
赵瑞锋
郭文鑫
李波
李世明
卢建刚
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Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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Priority to CN201911128294.5A priority Critical patent/CN110851284A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • G06F9/5077Logical partitioning of resources; Management or configuration of virtualized resources
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • G06F9/5072Grid computing
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45562Creating, deleting, cloning virtual machine instances
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45575Starting, stopping, suspending or resuming virtual machine instances
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45595Network integration; Enabling network access in virtual machine instances

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  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Power Engineering (AREA)
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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The method, the device and the equipment for dispatcher load flow service are characterized in that a load flow calculation container is dynamically established according to a load flow calculation request of a user, Protobuf is used as a data carrier to define a calculation model, a calculation section, calculation parameter setting, an operation mode, load flow calculation and return a load flow calculation result to the user, the problem of concurrency and dynamic expansion of the load flow calculation request of a multi-user dispatcher is solved through an external load flow calculation service through a unified interface, idle calculation resources in a system are utilized to the maximum extent, and good dynamic expansibility is achieved.

Description

Dispatcher power flow service method, device and equipment
Technical Field
The application relates to the technical field of power system load flow service, in particular to a dispatcher load flow service method, device and equipment.
Background
The dispatcher power flow is the basis of power system stability calculation and fault analysis, online or offline power flow calculation is carried out according to the current power grid structure and operation conditions, bus voltage and line transformer power flow are determined, power generation output, total load addition, power loss and the like are counted, and the rationality of an operation mode is analyzed according to the calculation result.
With the development of internet technology, the using mode of a power grid user for dispatcher trend is changed, and the traditional C/S mode is not changed, but the B/S mode is changed. The dispatcher trend is used as a basic module for power grid application analysis, and how to conveniently and quickly provide other services for sharing, multi-user concurrency and the like to provide higher requirements for the dispatcher trend, so that a general data service interface technology is provided, a dispatcher trend calculation service interface is provided for the outside, and cloud service of electric power system analysis application is realized, which is a technical problem to be solved urgently by technical personnel in the field.
Disclosure of Invention
The application provides a dispatcher load flow service method, a dispatcher load flow service device and dispatcher load flow service equipment, which are used for providing a general data service interface, providing a dispatcher load flow calculation service interface to the outside and realizing cloud service of analysis and application of a power system.
In view of this, a first aspect of the present application provides a dispatcher trend servitization method, where the dispatcher trend servitization method is applied in a cloud platform, and includes:
responding to a user load flow calculation request, detecting whether an operating idle load flow calculation container which is not used by a user exists in a preset area, if so, selecting one idle load flow calculation container which is not used by the user to distribute to the user, otherwise, controlling a load flow calculation Docker container mirror image to start a new load flow calculation container to distribute to the user, wherein the user load flow calculation request adopts a data structure defined by Protobuf;
counting the number of idle load flow calculation containers which are in operation and are not used by a user, and calculating the load flow of a dispatcher based on a preset load flow calculation model, a preset load flow calculation section, a preset load flow calculation operation mode and preset load flow calculation parameters, wherein the preset load flow calculation model uses IEC61970 standard requirements, and the preset load flow calculation model, the preset load flow calculation section, the preset load flow calculation operation mode and the preset load flow calculation parameters all adopt Protobuf defined data structures;
serializing the calculation result of the dispatcher load flow and returning the serialized calculation result to the user, wherein the calculation result adopts a data structure defined by Protobuf.
Optionally, after serializing the calculation result of the dispatcher load flow and returning the serialized calculation result to the user, the method further includes:
and releasing the load flow calculation container resources of the preset area.
Optionally, the method further comprises:
and when a calculation model updating request is received, updating the preset power flow calculation model.
Optionally, the method further comprises:
and when a request for updating the power flow calculation section is received, updating the preset power flow calculation section.
Optionally, the method further comprises:
and when a request for updating the load flow calculation parameters is received, updating the preset load flow calculation parameters.
Optionally, the method further comprises:
and when a request for updating the power grid operation mode is received, updating the load flow calculation operation mode.
A second aspect of the present application provides a dispatcher power flow service device, where the dispatcher power flow service device is applied to a cloud platform, and the dispatcher power flow service device includes:
the response module is used for responding to a user load flow calculation request, detecting whether an operating idle load flow calculation container which is not used by a user exists in a preset area, if so, selecting one idle load flow calculation container which is not used by the user to distribute to the user, otherwise, controlling a load flow calculation Docker container to mirror and start a new load flow calculation container to distribute to the user, wherein the user load flow calculation request adopts a data structure defined by Protobuf;
the dispatcher load flow calculation module is used for counting the number of idle load flow calculation containers which are in operation and are not used by users, and calculating dispatcher load flow based on a preset load flow calculation model, a preset load flow calculation section, a preset load flow calculation operation mode and preset load flow calculation parameters, wherein the preset load flow calculation model uses IEC61970 standard requirements, and the preset load flow calculation model, the preset load flow calculation section, the preset load flow calculation operation mode and the preset load flow calculation parameters all adopt Protobuf defined data structures;
and the calculation result returning module is used for serializing the calculation result of the dispatcher load flow and returning the serialized calculation result to the user, wherein the calculation result adopts a data structure defined by Protobuf.
Optionally, the method further comprises: a release module;
and the releasing module is used for releasing the load flow calculation container resources of the preset area.
Optionally, the method further comprises:
the model updating module is used for updating the preset load flow calculation model when a calculation model updating request is received;
the updating section module is used for updating the preset load flow calculation section when receiving a load flow calculation section updating request;
the parameter updating module is used for updating the preset load flow calculation parameters when a load flow calculation parameter updating request is received;
and the operation mode updating module is used for updating the load flow calculation operation mode when a request for updating the power grid operation mode is received.
A third aspect of the present application provides a dispatcher trend servitization device, the device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform any of the dispatcher load flow servicing methods of the first aspect in accordance with instructions in the program code.
According to the technical scheme, the embodiment of the application has the following advantages:
the application provides a dispatcher power flow service method, which is applied to a cloud platform and comprises the following steps: responding to a user load flow calculation request, detecting whether an operating idle load flow calculation container which is not used by a user exists in a preset area, if so, selecting an idle load flow calculation container which is not used by the user to distribute to the user, otherwise, controlling a load flow calculation Docker container mirror image to start a new load flow calculation container to distribute to the user, wherein the user load flow calculation request adopts a Protobuf defined data structure; counting the number of idle load flow calculation containers which are in operation and are not used by users, calculating the load flow of a dispatcher based on a preset load flow calculation model, a preset load flow calculation section, a preset load flow calculation operation mode and preset load flow calculation parameters, wherein the preset load flow calculation model uses IEC61970 standard requirements, and the preset load flow calculation model, the preset load flow calculation section, the preset load flow calculation operation mode and the preset load flow calculation parameters all adopt a data structure defined by Protobuf; serializing the calculation result of the dispatcher load flow and returning the serialized calculation result to the user, wherein the calculation result adopts a data structure defined by Protobuf.
According to the dispatcher load flow service method, a load flow calculation container is dynamically established according to a load flow calculation request of a user, Protobuf is used as a data carrier to define a calculation model, a calculation section, calculation parameter setting, an operation mode and load flow calculation, and a load flow calculation result is returned to the user.
Drawings
Fig. 1 is a schematic flowchart of a dispatcher trend serving method provided in an embodiment of the present application;
fig. 2 is another schematic flow chart of a dispatcher trend serving method provided in the embodiment of the present application;
fig. 3 is a schematic structural diagram of a dispatcher trend servitization device provided in an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
For convenience of understanding, please refer to fig. 1, an embodiment of a dispatcher trend servization method provided in the present application, where the dispatcher trend servization method in the embodiment of the present application is applied in a cloud platform, includes:
step 101, responding to a user load flow calculation request, detecting whether an idle load flow calculation container which is running and is not used by a user exists in a preset area, wherein the user load flow calculation request adopts a data structure defined by Protobuf;
if yes, selecting an idle load flow calculation container which is not used by the user to distribute to the user;
if not, controlling the Docker container mirror image of the power flow calculation to start a new power flow calculation container to be distributed to the user.
Google Protocol Buffer (Protocol for short) is a mixed language data standard in Google corporation, is a light and efficient structured data storage format, and can be used for structured data serialization.
In the embodiment of the present application, the user load flow calculation request adopts a data structure defined by Protobuf, and at least includes: the method comprises the following steps of power grid model data, power grid section data, power grid operation mode adjustment and load flow calculation parameters. After receiving a user load flow calculation request, responding to the request, detecting whether an idle load flow calculation container which is operated and not used by a user exists in a preset area or not in a mode that a Docker agent checks whether the load flow calculation container which is operated and not used by the user is allocated to the user one by one, if the idle load flow calculation container which is operated and not used by the user exists, selecting one idle load flow calculation container which is not used by the user to be allocated to the user, and simultaneously recording the information of the container related to the user. It can be understood that if only one running idle load flow calculation container which is not used by the user exists, the idle load flow calculation container may be directly allocated to the user, and if more than one running idle load flow calculation containers which are not used by the user exist, one of all the running idle load flow calculation containers which are not used by the user is arbitrarily selected or one of the running idle load flow calculation containers is selected according to other selection rules to be allocated to the user. If no running idle load flow calculation container which is not used by the user exists, a new container instance needs to be started by the load flow calculation Docker container mirror image and is allocated to the user.
Step 102, counting the number of idle load flow calculation containers which are in operation and are not used by users, calculating the load flow of a dispatcher based on a preset load flow calculation model, a preset load flow calculation section, a preset load flow calculation operation mode and preset load flow calculation parameters, wherein the preset load flow calculation model uses IEC61970 standard requirements, and the preset load flow calculation model, the preset load flow calculation section, the preset load flow calculation operation mode and the preset load flow calculation parameters all adopt Protobuf defined data structures.
It should be noted that the preset power flow calculation model meets the IEC61970 specification requirements, and adopts a data structure defined by Protobuf, which at least includes: model time, model type (current/history/future), base voltage class, sub-control area information, station information, bus information, ac line endpoint information, transformer coil information, load information, capacitive reactance information, switch information, dc system, converter information, dc pole information, dc line endpoint information, dc switch information.
The preset power flow calculation section meets the requirement of a data markup language (E language) specification of a power system, adopts a data structure defined by Protobuf, and at least comprises the following steps: profile time, profile type (current/history/future), base station information, bus voltage, ac line information, ac line endpoint active/reactive/current, transformer information, transformer coil active/reactive/current/gear, load active/reactive/current, capacitive reactance reactive, switch state, knife switch state, dc system, converter active/reactive/voltage/firing angle, dc pole active, dc line information, dc line active/voltage/current, dc switch state, dc knife switch state, etc.
The preset load flow calculation operation mode setting adopts a data structure defined by Protobuf, and at least comprises the following steps: equipment type (generator/ac line/bus/main transformer/load/capacitance reactor/switch/knife switch/converter valve/dc pole/dc line), plant name, voltage class name, equipment name, measurement type (active/reactive/voltage/current/gear), set value (if the type is a pool, 1 means throw, 0 means withdraw).
The preset power flow calculation parameters adopt a data structure defined by Protobuf, and at least comprise the following steps: the load flow calculation method (PQ decomposition method or Newton method), the active convergence precision, the reactive convergence precision, the maximum iteration number, the equipment overloading percentage and the equipment out-of-limit percentage.
And 103, serializing the calculation result of the dispatcher load flow and returning the serialized calculation result to the user, wherein the calculation result adopts a data structure defined by Protobuf.
It should be noted that the result of the power flow calculation response Protobuf definition at least includes: the method comprises the steps of load flow calculation state (convergence/non-convergence), load flow section data, electric island information and iteration information (for non-convergence diagnosis in load flow calculation). After the calculation result is obtained, the calculation result can be serialized and returned to the user.
According to the dispatcher load flow service method provided by the embodiment of the application, a load flow calculation container is dynamically created according to a load flow calculation request of a user, Protobuf is used as a data carrier to define a calculation model, a calculation section, calculation parameter setting, an operation mode, load flow calculation and return a load flow calculation result to the user, the problems of concurrency and dynamic expansion of the load flow calculation request of a multi-user dispatcher are solved through an external load flow calculation service interface, idle calculation resources in a system are utilized to the maximum extent, and the good dynamic expansibility is achieved.
For convenience of understanding, please refer to fig. 2, the present application provides a dispatcher load flow service method, where the dispatcher load flow service method is applied in a cloud platform, and includes:
step 201, responding to a user load flow calculation request, detecting whether an idle load flow calculation container which is running and is not used by a user exists in a preset area, wherein the user load flow calculation request adopts a data structure defined by Protobuf;
if yes, selecting an idle load flow calculation container which is not used by the user to distribute to the user;
if not, controlling the Docker container mirror image of the power flow calculation to start a new power flow calculation container to be distributed to the user.
Step 202, counting the number of idle load flow calculation containers which are in operation and are not used by users, calculating the load flow of a dispatcher based on a preset load flow calculation model, a preset load flow calculation section, a preset load flow calculation operation mode and preset load flow calculation parameters, wherein the preset load flow calculation model uses IEC61970 standard requirements, and the preset load flow calculation model, the preset load flow calculation section, the preset load flow calculation operation mode and the preset load flow calculation parameters all adopt Protobuf defined data structures.
And 203, serializing the calculation result of the dispatcher load flow and returning the serialized calculation result to the user, wherein the calculation result adopts a data structure defined by Protobuf.
It should be noted that, when executed, the dispatcher trend service method in the embodiment of the present application may further include:
and detecting whether a calculation model updating request, a load flow calculation section updating request, a load flow calculation parameter updating request or a power grid operation mode updating request is received in real time. When a request for updating the calculation model is received, updating the preset power flow calculation model, wherein the updated power flow calculation model can be a historical model or a future model, the preset power flow calculation model is not changed within a period of time, the preset power flow calculation model does not need to be updated under the condition that the update request is not received, when the request for updating the calculation model is received, the preset power flow calculation model is updated, if a user wants to research a future mode, the future model can be selected, and if the user wants to analyze the historical power flow, the historical model can be selected.
And when a request for updating the power flow calculation section is received, updating the preset power flow calculation section. The calculation section meets the requirement of a data markup language (E language) specification of the power system, adopts a data structure defined by Protobuf, and at least comprises the following steps: profile time, profile type (current/history/future), base station information, bus voltage, ac line information, ac line endpoint active/reactive/current, transformer information, transformer coil active/reactive/current/gear, load active/reactive/current, capacitive reactance reactive, switch state, knife switch state, dc system, converter active/reactive/voltage/firing angle, dc pole active, dc line information, dc line active/voltage/current, dc switch state, dc knife switch state, etc.
And when a request for updating the load flow calculation parameters is received, updating the preset load flow calculation parameters. The power flow calculation parameters adopt a data structure defined by Protobuf and at least comprise the following information: the load flow calculation method (PQ decomposition method or Newton method), the active convergence precision, the reactive convergence precision, the maximum iteration number, the equipment overloading percentage and the equipment out-of-limit percentage.
And when a request for updating the power grid operation mode is received, updating the load flow calculation operation mode. The operation mode adjustment data at least includes: equipment type (generator/ac line/bus/main transformer/load/capacitance reactor/switch/knife switch/converter valve/dc pole/dc line), plant name, voltage class name, equipment name, measurement type (active/reactive/voltage/current/gear), set value (if the type is a pool, 1 means throw, 0 means withdraw).
After step 203 is executed, to avoid resource occupation, the operation of step 204 may also be performed.
And 204, releasing load flow calculation container resources of the preset area.
For convenience of understanding, please refer to fig. 3, an embodiment of a dispatcher load flow service device is further provided in the present application, where the dispatcher load flow service device is applied in a cloud platform, and includes:
the response module is used for responding to a user load flow calculation request, detecting whether an operating idle load flow calculation container which is not used by a user exists in a preset area, if so, selecting an idle load flow calculation container which is not used by the user to distribute to the user, otherwise, controlling a load flow calculation Docker container mirror image to start a new load flow calculation container to distribute to the user, wherein the user load flow calculation request adopts a Protobuf defined data structure;
the dispatcher load flow calculation module is used for counting the number of idle load flow calculation containers which are not used by a user and are running, and calculating dispatcher load flow based on a preset load flow calculation model, a preset load flow calculation section, a preset load flow calculation operation mode and preset load flow calculation parameters, wherein the preset load flow calculation model uses IEC61970 standard requirements, and the preset load flow calculation model, the preset load flow calculation section, the preset load flow calculation operation mode and the preset load flow calculation parameters all adopt Protobuf defined data structures.
And the calculation result returning module is used for serializing the calculation result of the dispatcher load flow and returning the serialized calculation result to the user, wherein the calculation result adopts a data structure defined by Protobuf.
Further, still include: a release module;
and the releasing module is used for releasing the load flow calculation container resources in the preset area.
Further, still include:
the model updating module is used for updating the preset load flow calculation model when a calculation model updating request is received;
the updating section module is used for updating the preset load flow calculation section when receiving a load flow calculation section updating request;
the parameter updating module is used for updating the preset load flow calculation parameters when receiving a load flow calculation parameter updating request;
and the operation mode updating module is used for updating the load flow calculation operation mode when a request for updating the power grid operation mode is received.
The present application further provides an embodiment of a dispatcher trend servitization device, which includes a processor and a memory:
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is configured to execute the dispatcher power flow servitization method in the foregoing dispatcher power flow servitization method embodiment according to instructions in the program code.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A dispatcher power flow service method is applied to a cloud platform and comprises the following steps:
responding to a user load flow calculation request, detecting whether an operating idle load flow calculation container which is not used by a user exists in a preset area, if so, selecting one idle load flow calculation container which is not used by the user to distribute to the user, otherwise, controlling a load flow calculation Docker container mirror image to start a new load flow calculation container to distribute to the user, wherein the user load flow calculation request adopts a data structure defined by Protobuf;
counting the number of idle load flow calculation containers which are in operation and are not used by a user, and calculating the load flow of a dispatcher based on a preset load flow calculation model, a preset load flow calculation section, a preset load flow calculation operation mode and preset load flow calculation parameters, wherein the preset load flow calculation model uses IEC61970 standard requirements, and the preset load flow calculation model, the preset load flow calculation section, the preset load flow calculation operation mode and the preset load flow calculation parameters all adopt Protobuf defined data structures;
serializing the calculation result of the dispatcher load flow and returning the serialized calculation result to the user, wherein the calculation result adopts a data structure defined by Protobuf.
2. The dispatcher trend servitization method of claim 1, wherein after serializing the calculation result of the dispatcher trend and returning the serialized calculation result to the user, the method further comprises:
and releasing the load flow calculation container resources of the preset area.
3. The dispatcher trend servitization method of claim 1, further comprising:
and when a calculation model updating request is received, updating the preset power flow calculation model.
4. The dispatcher trend servitization method of claim 1, further comprising:
and when a request for updating the power flow calculation section is received, updating the preset power flow calculation section.
5. The dispatcher trend servitization method of claim 1, further comprising:
and when a request for updating the load flow calculation parameters is received, updating the preset load flow calculation parameters.
6. The dispatcher trend servitization method of claim 1, further comprising:
and when a request for updating the power grid operation mode is received, updating the load flow calculation operation mode.
7. A dispatcher power flow service device is applied to a cloud platform and comprises the following components:
the response module is used for responding to a user load flow calculation request, detecting whether an operating idle load flow calculation container which is not used by a user exists in a preset area, if so, selecting one idle load flow calculation container which is not used by the user to distribute to the user, otherwise, controlling a load flow calculation Docker container to mirror and start a new load flow calculation container to distribute to the user, wherein the user load flow calculation request adopts a data structure defined by Protobuf;
the dispatcher load flow calculation module is used for counting the number of idle load flow calculation containers which are in operation and are not used by users, and calculating dispatcher load flow based on a preset load flow calculation model, a preset load flow calculation section, a preset load flow calculation operation mode and preset load flow calculation parameters, wherein the preset load flow calculation model uses IEC61970 standard requirements, and the preset load flow calculation model, the preset load flow calculation section, the preset load flow calculation operation mode and the preset load flow calculation parameters all adopt Protobuf defined data structures;
and the calculation result returning module is used for serializing the calculation result of the dispatcher load flow and returning the serialized calculation result to the user, wherein the calculation result adopts a data structure defined by Protobuf.
8. The dispatcher trend servitization device of claim 7, further comprising: a release module;
and the releasing module is used for releasing the load flow calculation container resources of the preset area.
9. The dispatcher trend servitization device of claim 7, further comprising:
the model updating module is used for updating the preset load flow calculation model when a calculation model updating request is received;
the updating section module is used for updating the preset load flow calculation section when receiving a load flow calculation section updating request;
the parameter updating module is used for updating the preset load flow calculation parameters when a load flow calculation parameter updating request is received;
and the operation mode updating module is used for updating the load flow calculation operation mode when a request for updating the power grid operation mode is received.
10. A dispatcher trend servitization device, the device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the dispatcher trend servi zation method as set forth in any one of claims 1-6 according to instructions in the program code.
CN201911128294.5A 2019-11-18 2019-11-18 Dispatcher power flow service method, device and equipment Pending CN110851284A (en)

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CN113680068A (en) * 2021-07-23 2021-11-23 广州三七互娱科技有限公司 Game development engine and Docker interaction method, device and system

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