CN112765678A - Electric power market security check method and system - Google Patents

Electric power market security check method and system Download PDF

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Publication number
CN112765678A
CN112765678A CN202011626020.1A CN202011626020A CN112765678A CN 112765678 A CN112765678 A CN 112765678A CN 202011626020 A CN202011626020 A CN 202011626020A CN 112765678 A CN112765678 A CN 112765678A
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China
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service
container
analysis
functions
check
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Chinese (zh)
Inventor
徐晓亮
施雄华
蒲桂林
赵月辉
邹大云
陈根军
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NR Electric Co Ltd
NR Engineering Co Ltd
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NR Electric Co Ltd
NR Engineering Co Ltd
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Priority to CN202011626020.1A priority Critical patent/CN112765678A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533—Hypervisors; Virtual machine monitors
    • G06F9/45558—Hypervisor-specific management and integration aspects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The invention discloses a power market safety check method, which is used for carrying out function decomposition on power market safety check, and setting boundaries of various functions and data interaction interfaces among the functions; generating mirror images of all functions through a Docker to realize the services of all functions, and defining safety check combined services according to the services of all functions; according to a real-time request of a user, a service sequence of functions is dynamically arranged, a container set is created according to the sequence, intra-container check calculation and inter-container information interaction are achieved, and a safety check calculation result is returned.

Description

Electric power market security check method and system
Technical Field
The invention belongs to the technical field of power markets, and particularly relates to a method and a system for checking the safety of a power market.
Background
With the advance of the market reformation of electric power, the safety problem of the operation of the power grid under the market mechanism is increasingly prominent. In the electric power market environment, the market mechanism still follows the technical and economic laws of instantaneity, intangibility, supply and demand volatility, homogenization and the like of electric power commodities, ensures the dynamic balance of the production, transmission and use of electric energy, and ensures the safe and stable operation and reliable supply of electric power of an electric power system. The market clearance should consider the whole network safety restraint, and the safety check of the power grid transaction plan is an important means for guaranteeing the safe operation of the power grid system while guaranteeing the fair opening of the power grid.
At present, safety checking in the power market environment is off-line calculation, mode personnel analyze the problems of steady state, static state, transient state and the like of a power grid aiming at an assumed determined operation mode, under the power market operation environment, power trading is frequent, the number of sections needing circular checking is large, the workload is large, and the traditional manual off-line analysis mode cannot meet the operation requirement of the power market. The electric power trading system needs to process a power grid mode in a period of time in the future, and needs to integrate various data such as a power generation plan, a tie line plan, a maintenance plan, load prediction and the like to form a mode section capable of being calculated, and the traditional manual processing mode cannot be realized.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a power market safety checking method which can be used for efficiently checking the power market safety.
The invention provides the following technical scheme:
in a first aspect, a method for implementing safety check containerization in an electric power market environment is provided, which includes:
performing function decomposition on electric power market safety check, and setting boundaries of all functions and data interaction interfaces among the functions;
generating mirror images of all functions through a Docker to realize the services of all functions, and defining safety check combined services according to the services of all functions;
and dynamically arranging a service sequence with functions according to a real-time request of a user, creating a container set according to the sequence, realizing the information interaction between container inner check calculation and containers, and returning a safety check calculation result.
With reference to the first aspect, further, the electric power market safety check function is decomposed into: the method comprises the following steps of power grid model setting F1, power grid operation section setting F2, power grid plan input F3, load prediction data input F4, power balance analysis F5, peak load balance analysis F6, active power reserve capacity analysis F7, primary frequency modulation capacity analysis F8, secondary frequency modulation capacity analysis F9, power flow check calculation analysis F10, static safety analysis F11 and sensitivity analysis F12.
With reference to the first aspect, further, the security check combination service includes: the system comprises a power flow section forming service C1, a real-time market check service C2, a intraday market check service C3, a day-ahead market check service C4 and a sensitivity check service C5; wherein, C1 ═ S1, S2, S3, S4}, C2 ═ S1, S2, S3, S4, S5, S10}, C3 ═ S1, S2, S3, S4, S5, S10, S11}, C4 ═ S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, S11}, C5 { (S1, S2, S3, S4, S10, S11, S12 }; the method comprises the following steps of S1, S2, S3, S4, S6, S7, S8, S9, S10, S11 and S12, wherein the power grid model is set, the power grid operation section is set, the power grid plan input is carried out, the load prediction data input is carried out, the power balance analysis is carried out in S5, the peak load balance analysis is carried out in S6, the active standby capacity analysis is carried out in S7, the primary frequency modulation capacity analysis is carried out in S8, the secondary frequency modulation capacity analysis is carried out in S9, the.
With reference to the first aspect, further, the dynamically arranging a service sequence of functions according to a real-time request of a user, creating a container set according to the sequence, implementing checking calculation in a container and information interaction between containers, and returning a result of the security checking calculation specifically includes:
generating a service sequence { R1, R2, Ri … Rn } according to the security check micro service or the combined service requested by the user, wherein each service item Ri is one of S1-S12 or C1-C5;
counting the number of idle S1-S12 service containers which are running and are not used by a user, if an idle container exists in a service required to be called in a service sequence, allocating the container to the user, and otherwise, starting a new container instance by a Docker container mirror image to allocate the new container instance to the user;
and sequentially calling each service container internal analysis and calculation program component in the service sequence, after calculation, serializing and coding the result by a communication program, returning the result to the next service container and the user by the Docker proxy, and releasing container resources at regular time.
With reference to the first aspect, further, the container mirror image of each function includes the following components: the system comprises power market operation parameters, a power grid analysis model, a calculation parameter file, a container communication program, a calculation analysis program and a dependence dynamic library.
In a second aspect, there is provided an electric power market safety check system, including:
a decomposition module: the system is used for carrying out function decomposition on electric power market safety check, and setting boundaries of all functions and data interaction interfaces among the functions;
a service generation module: the system comprises a Docker, a safety check module and a control module, wherein the Docker is used for generating mirror images of all functions to realize the services of all functions and defining safety check combined services according to the services of all functions;
a safety checking module: the system is used for dynamically arranging a service sequence with functions according to a real-time request of a user, creating a container set according to the sequence, realizing the information interaction between container inner check calculation and containers, and returning a safety check calculation result.
The invention has the beneficial effects that: the sub-function decomposition is carried out on the safety check function in the electric power market environment, the container mirror image is manufactured by adopting a Docker container technology to realize sub-function micro-service, the sub-function micro-service sequence is dynamically arranged according to the safety check requirement of a user, a calculation container set is created, the check calculation in the container and the information interaction between the containers are realized, the safety check result is returned, the idle calculation resources in the system are utilized to the maximum extent, and the problems of the concurrency and the dynamic expansion of multi-user safety check requests are solved.
Drawings
FIG. 1 is a diagram of an instantiated system in a containerized implementation of a security check method of the present invention;
FIG. 2 is a flow chart of dynamically creating a security check microservice container in the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
Example 1
Referring to fig. 1 to 2, the present invention provides a technical solution: the invention discloses a power market safety checking method, and provides a safety checking containerization implementation method under a power market environment, wherein the attached figure 1 is a structure diagram of an instantiation system of the safety checking containerization implementation method:
sub-functions of a safety check function in an electric power market environment are decomposed into an electric power grid model setting F1, an electric power grid operation section setting F2, an electric power grid plan input F3, a load prediction data input F4, an electric power balance analysis F5, a peak-load balance analysis F6, an active reserve capacity analysis F7, a primary frequency modulation capacity analysis F8, a secondary frequency modulation capacity analysis F9, a power flow check calculation analysis F10, a static safety analysis F11 and a sensitivity analysis F12;
respectively manufacturing Docker container mirror images corresponding to the subfunctions F1-F12, wherein components in each container mirror image comprise electric power market operating parameters, a power grid analysis model, a calculation parameter file, a container communication program, a calculation analysis program and a dependence dynamic library;
the safety check micro-service is realized through container mirror image deployment under the electric power market environment, and the method specifically comprises the following steps:
1) grid model setting service S1
The components in the S1 container mirror image comprise electric power market operating parameters, a power grid analysis model, a container communication program, a model reading program and a dependence dynamic library, the specified power grid model setting function is realized, and the service URL is requested as follows:
https://ip:port/mktservice/setmktgridmodel
the HTTP request method comprises the following steps:
POST/mktservice/setmktgridmodel HTTP/1.1
service request message format:
Figure BDA0002874869050000041
Figure BDA0002874869050000042
name: string, user login name
Figure BDA0002874869050000043
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000044
model tm: string, obtaining model time
Service return message format:
Figure BDA0002874869050000051
Figure BDA0002874869050000052
return code: string, result return code
Figure BDA0002874869050000053
description: string, result return description
The return code defines:
return code Description of the invention
000001 Successfully acquiring power grid model at specified time
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Obtaining power grid model loss at specified timeFailure of the blood
2) Power grid operation section setting service S2
The components in the S2 container mirror image comprise electric power market operation parameters, a power grid analysis section, a container communication program, a section reading program and a dependence dynamic library, the function of setting the power grid operation section is realized, and the service request URL is as follows:
https://ip:port/mktservice/setmktgridcase
the HTTP request method comprises the following steps:
POST/mktservice/setmktgridcase HTTP/1.1
service request message format:
Figure BDA0002874869050000054
Figure BDA0002874869050000061
Figure BDA0002874869050000062
name: string, user login name
Figure BDA0002874869050000063
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000064
casetm: string, obtaining the section time of the power grid
Service return message format:
Figure BDA0002874869050000065
Figure BDA0002874869050000066
return code: string, result return code
Figure BDA0002874869050000067
description: string, result return description
The return code defines:
return code Description of the invention
000001 Successfully acquiring power grid section at specified time
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Obtaining power grid section failure at specified time
3) Grid plan input service S3
The components in the S3 container mirror image comprise electric power market operation parameters, power grid plan data, a container communication program, a plan reading program and a dependence dynamic library, the function of reading the power grid unit clearing plan is realized, and the service request URL is as follows:
https://ip:port/mktservice/imoprtgensched
the HTTP request method comprises the following steps:
POST/mktservice/imoprtgensched HTTP/1.1
service request message format:
Figure BDA0002874869050000071
Figure BDA0002874869050000072
name: string, user login name
Figure BDA0002874869050000073
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000074
schedtm: string, the clearing time of the grid unit
Service return message format:
Figure BDA0002874869050000075
Figure BDA0002874869050000081
Figure BDA0002874869050000082
return code: string, result return code
Figure BDA0002874869050000083
description: string, result return description
Figure BDA0002874869050000084
general: struct, unit output plan
The return code defines:
return code Description of the invention
000001 Successfully obtaining a grid plan
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Failure to acquire grid plan
4) Load forecast data entry service S4
The components in the S4 container mirror image comprise power market operating parameters, a load prediction database, a container communication program, a load prediction reading program and a dependence dynamic library, the function of reading power grid load prediction data is realized, and the URL of the service request is as follows:
https://ip:port/mktservice/imoprtbuslfsched
the HTTP request method comprises the following steps:
POST/mktservice/imoprtbuslfsched HTTP/1.1
service request message format:
Figure BDA0002874869050000091
Figure BDA0002874869050000092
name: string, user login name
Figure BDA0002874869050000093
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000094
schedtm: string, load forecast time
Service return message format:
Figure BDA0002874869050000095
Figure BDA0002874869050000101
Figure BDA0002874869050000102
return code: string, result return code
Figure BDA0002874869050000103
description: string, result return description
Figure BDA0002874869050000104
for, foredata: struct, load forecast data
The return code defines:
return code Description of the invention
000001 Successfully obtaining load forecast data
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Failure to obtain load forecast data
5) Power balance analysis service S5
The components in the S5 container mirror image comprise power market operation parameters, power grid section data, a container communication program, a calculation analysis program and a dependence dynamic library, so that a power balance analysis function is realized, and the service request URL is as follows:
https://ip:port/mktservice/powerbalanceanalysis
the HTTP request method comprises the following steps:
POST/mktservice/powerbalanceanalysis HTTP/1.1
service request message format:
Figure BDA0002874869050000105
Figure BDA0002874869050000111
Figure BDA0002874869050000112
name: string, user login name
Figure BDA0002874869050000113
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000114
schedtm: string, grid runtime
Service return message format:
Figure BDA0002874869050000115
Figure BDA0002874869050000116
return code: string, result return code
Figure BDA0002874869050000117
description: string, result return description
Figure BDA0002874869050000118
gen: float, active power of system generation
Figure BDA0002874869050000119
And (3) loadp: float, system load active
Figure BDA00028748690500001110
gap: float, system unbalance amount
The return code defines:
Figure BDA00028748690500001111
Figure BDA0002874869050000121
6) peak-shaving balance analysis service S6
The components in the S6 container mirror image comprise electric power market operation parameters, power grid section data, a container communication program, a calculation analysis program and a dependence dynamic library, the peak shaving balance analysis function is realized, and the URL of the service request is as follows:
https://ip:port/mktservice/peakanalysis
the HTTP request method comprises the following steps:
POST/mktservice/peakanalysis HTTP/1.1
service request message format:
Figure BDA0002874869050000122
Figure BDA0002874869050000123
name: string, user login name
Figure BDA0002874869050000124
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000125
gridtm: string, grid runtime
Service return message format:
Figure BDA0002874869050000126
Figure BDA0002874869050000131
Figure BDA0002874869050000132
return code: string, result return code
Figure BDA0002874869050000133
description: string, result return description
Figure BDA0002874869050000134
genres: float, peak shaving reserve capacity
The return code defines:
return code Description of the invention
000001 Success of peak shaving balance analysis
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Failure of peak shaver balance analysis
7) Active reserve capacity analysis service S7
The components in the S7 container mirror image comprise electric power market operation parameters, power grid section data, a container communication program, a calculation analysis program and a dependence dynamic library, and the active reserve capacity analysis function is realized, wherein the service request URL is as follows:
https://ip:port/mktservice/reserveanalysis
the HTTP request method comprises the following steps:
POST/mktservice/reserveanalysis HTTP/1.1
service request message format:
Figure BDA0002874869050000135
Figure BDA0002874869050000141
Figure BDA0002874869050000142
name: string, user login name
Figure BDA0002874869050000143
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000144
gridtm: string, grid runtime
Service return message format:
Figure BDA0002874869050000145
Figure BDA0002874869050000146
return code: string, result return code
Figure BDA0002874869050000147
description: string, result return description
Figure BDA0002874869050000148
Reserve: float, active reserve capacity
The return code defines:
return code Description of the invention
000001 Success of active reserve capacity analysis
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Active reserve capacity analysis failure
8) Primary FM capacity analysis service S8
The components in the S8 container mirror image comprise electric power market operation parameters, power grid section data, a container communication program, a calculation analysis program and a dependence dynamic library, and realize a primary frequency modulation capacity analysis function, wherein the service request URL is as follows:
https://ip:port/mktservice/firstfreqanalysis
the HTTP request method comprises the following steps:
POST/mktservice/firstfreqanalysis HTTP/1.1
service request message format:
Figure BDA0002874869050000151
Figure BDA0002874869050000152
name: string, user login name
Figure BDA0002874869050000153
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000154
gridtm: string, grid runtime
Service return message format:
Figure BDA0002874869050000155
Figure BDA0002874869050000156
return code: string, result return code
Figure BDA0002874869050000157
description: string, result return description
Figure BDA0002874869050000158
Reserve: float, primary frequency modulation capacity
The return code defines:
return code Description of the invention
000001 Successful primary frequency modulation capacity analysis
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Primary fm capacity analysis failure
9) Secondary fm capacity analysis service S9
The components in the S9 container mirror image comprise electric power market operation parameters, power grid section data, a container communication program, a calculation analysis program and a dependence dynamic library, so that a secondary frequency modulation capacity analysis function is realized, and the service request URL is as follows:
https://ip:port/mktservice/secondfreqanalysis
the HTTP request method comprises the following steps:
POST/mktservice/secondfreqanalysis HTTP/1.1
service request message format:
Figure BDA0002874869050000161
Figure BDA0002874869050000162
name: string, user login name
Figure BDA0002874869050000163
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000164
gridtm: string, grid runtime
Service return message format:
Figure BDA0002874869050000171
Figure BDA0002874869050000172
return code: string, result return code
Figure BDA0002874869050000173
description: string, result return description
Figure BDA0002874869050000174
Reserve: float, secondary frequency modulation capacity
The return code defines:
return code Description of the invention
000001 Successful secondary frequency modulation capacity analysis
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Failure of secondary frequency modulation capacity analysis
10) Power flow checking calculation analysis service S10
The components in the S10 container mirror image comprise power market operation parameters, a power flow calculation program, power grid section data, a container communication program, a calculation analysis program and a dependence dynamic library, the power flow check calculation analysis function is realized, and the service request URL is as follows:
https://ip:port/mktservice/mktflowcalanalysis
the HTTP request method comprises the following steps:
POST/mktservice/mktflowcalanalysis HTTP/1.1
service request message format:
Figure BDA0002874869050000175
Figure BDA0002874869050000181
Figure BDA0002874869050000182
name: string, user login name
Figure BDA0002874869050000183
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000184
mkttm: string, market runtime
Service return message format:
Figure BDA0002874869050000185
Figure BDA0002874869050000191
Figure BDA0002874869050000192
return code: string, result return code
Figure BDA0002874869050000193
description: string, result return description
Figure BDA0002874869050000194
flowcalres: struct, flow check result return code definition:
return code Description of the invention
000001 Successful power flow check analysis
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Failure of tidal current check analysis
11) Static Security analysis service S11
The components in the S11 container mirror image comprise electric power market operation parameters, a static safety analysis program, power grid section data, a container communication program, a calculation analysis program and a dependence dynamic library, the static safety analysis function is realized, and the service request URL is as follows:
https://ip:port/mktservice/mktcacalanalysis
the HTTP request method comprises the following steps:
POST/mktservice/mktcacalanalysis HTTP/1.1
service request message format:
Figure BDA0002874869050000201
Figure BDA0002874869050000202
name: string, user login name
Figure BDA0002874869050000203
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000204
mkttm: string, market runtime
Service return message format:
Figure BDA0002874869050000205
Figure BDA0002874869050000211
Figure BDA0002874869050000221
Figure BDA0002874869050000222
return code: string, result return code
Figure BDA0002874869050000223
description: string, result return description
Figure BDA0002874869050000224
calalres: struct, static Security analysis results
The return code defines:
return code Description of the invention
000001 Success of static Security analysis
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Static security analysis failure
12) Sensitivity analysis service S12
The components in the S12 container mirror image comprise electric power market operation parameters, a sensitivity analysis program, power grid section data, a container communication program and a dependence dynamic library, the sensitivity analysis function is realized, and the service request URL is as follows:
https://ip:port/mktservice/mktsenscalanalysis
the HTTP request method comprises the following steps:
POST/mktservice/mktsenscalanalysis HTTP/1.1
service request message format:
Figure BDA0002874869050000225
Figure BDA0002874869050000231
Figure BDA0002874869050000232
name: string, user login name
Figure BDA0002874869050000233
And (3) uid: string, the unique ID number of the user returned during login
Figure BDA0002874869050000234
mkttm: string, market runtime
Service return message format:
Figure BDA0002874869050000235
Figure BDA0002874869050000241
Figure BDA0002874869050000242
return code: string, result return code
Figure BDA0002874869050000243
description: string, result return description
Figure BDA0002874869050000244
sensscalres: struct, sensitivity analysis results
The return code defines:
return code Description of the invention
000001 Success of the sensitivity analysis
100001 Error in parameter format
100002 No corresponding operation authority of user account
200001 Failure of sensitivity analysis
The method comprises the steps of distributing and managing container computing resources according to a real-time safety checking request of a user in an electric power market environment, realizing dynamic expansion of a container and arrangement of micro-services from S1 to S12 by means of extra computing resource requests and container mirror image copying, sequentially calling service functions, obtaining checking computing results, and returning the safety checking computing results to the user.
Fig. 2 is a flowchart of dynamically creating a security check micro-service container, and the steps of returning the security check calculation result according to the real-time security check request of the user are as follows:
1) the micro-service or the combined service is checked according to the security requested by the user to form a service sequence { R1, R2, … Rn }, wherein each service item Ri may be a single micro-service of S1-S12 or a combined service, and the combined service comprises:
the power flow profile forming service C1 is { S1, S2, S3, S4},
the real-time market checking service C2 ═ S1, S2, S3, S4, S5, S10},
the intra-day market check service C3 ═ { S1, S2, S3, S4, S5, S10, S11},
market check service C4 ═ S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, S11},
sensitivity checking service C5 ═ { S1, S2, S3, S4, S10, S11, S12 };
2) performing microservice decomposition on each service item in a service sequence, counting the number of idle S1-S12 service containers which are not used by a user and are running, allocating the containers to the user if the idle containers exist in the services required to be called in the service sequence, and otherwise, starting a new container instance to allocate to the user by a Docker container mirror image;
3) and sequentially calling each service container internal analysis and calculation program component in the service sequence, after calculation, serializing and coding the result by a communication program, returning the result to the next service container and the user by the Docker proxy, and releasing container resources at regular time.
Example 2
There is also provided an electric power market security check system, comprising:
a decomposition module: the system is used for carrying out function decomposition on electric power market safety check, and setting boundaries of all functions and data interaction interfaces among the functions;
a service generation module: the system comprises a Docker, a safety check module and a control module, wherein the Docker is used for generating mirror images of all functions to realize the services of all functions and defining safety check combined services according to the services of all functions;
a safety checking module: the system is used for dynamically arranging a service sequence with functions according to a real-time request of a user, creating a container set according to the sequence, realizing the information interaction between container inner check calculation and containers, and returning a safety check calculation result.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (6)

1. A power market security check method is characterized by comprising the following steps:
performing function decomposition on electric power market safety check, and setting boundaries of all functions and data interaction interfaces among the functions;
generating mirror images of all functions through a Docker to realize the services of all functions, and defining safety check combined services according to the services of all functions;
and dynamically arranging a service sequence with functions according to a real-time request of a user, creating a container set according to the sequence, realizing the information interaction between container inner check calculation and containers, and returning a safety check calculation result.
2. The electric power market safety check method according to claim 1, wherein the electric power market safety check function is decomposed into: the method comprises the following steps of power grid model setting F1, power grid operation section setting F2, power grid plan input F3, load prediction data input F4, power balance analysis F5, peak load balance analysis F6, active power reserve capacity analysis F7, primary frequency modulation capacity analysis F8, secondary frequency modulation capacity analysis F9, power flow check calculation analysis F10, static safety analysis F11 and sensitivity analysis F12.
3. The electric power market safety check method according to claim 2, wherein the safety check combined service comprises: the system comprises a power flow section forming service C1, a real-time market check service C2, a intraday market check service C3, a day-ahead market check service C4 and a sensitivity check service C5; wherein, C1 ═ S1, S2, S3, S4}, C2 ═ S1, S2, S3, S4, S5, S10}, C3 ═ S1, S2, S3, S4, S5, S10, S11}, C4 ═ S1, S2, S3, S4, S5, S6, S7, S8, S9, S10, S11}, C5 { (S1, S2, S3, S4, S10, S11, S12 }; the method comprises the following steps of S1, S2, S3, S4, S6, S7, S8, S9, S10, S11 and S12, wherein the power grid model is set, the power grid operation section is set, the power grid plan input is carried out, the load prediction data input is carried out, the power balance analysis is carried out in S5, the peak load balance analysis is carried out in S6, the active standby capacity analysis is carried out in S7, the primary frequency modulation capacity analysis is carried out in S8, the secondary frequency modulation capacity analysis is carried out in S9, the.
4. The electric power market safety check method according to claim 3, characterized in that: the step of dynamically arranging a service sequence of functions according to a real-time request of a user, creating a container set according to the sequence, realizing checking calculation in the container and information interaction between the containers, and returning a safety checking calculation result specifically comprises the following steps:
generating a service sequence { R1, R2, Ri … Rn } according to the security check micro service or the combined service requested by the user, wherein each service item Ri is one of S1-S12 or C1-C5;
counting the number of idle S1-S12 service containers which are running and are not used by a user, if an idle container exists in a service required to be called in a service sequence, allocating the container to the user, and otherwise, starting a new container instance by a Docker container mirror image to allocate the new container instance to the user;
and sequentially calling each service container internal analysis and calculation program component in the service sequence, after calculation, serializing and coding the result by a communication program, returning the result to the next service container and the user by the Docker proxy, and releasing container resources at regular time.
5. The electric power market safety check method according to claim 1, wherein the container image of each function comprises the following components: the system comprises power market operation parameters, a power grid analysis model, a calculation parameter file, a container communication program, a calculation analysis program and a dependence dynamic library.
6. An electric power market security check system, comprising:
a decomposition module: the system is used for carrying out function decomposition on electric power market safety check, and setting boundaries of all functions and data interaction interfaces among the functions;
a service generation module: the system comprises a Docker, a safety check module and a control module, wherein the Docker is used for generating mirror images of all functions to realize the services of all functions and defining safety check combined services according to the services of all functions;
a safety checking module: the system is used for dynamically arranging a service sequence with functions according to a real-time request of a user, creating a container set according to the sequence, realizing the information interaction between container inner check calculation and containers, and returning a safety check calculation result.
CN202011626020.1A 2020-12-30 2020-12-30 Electric power market security check method and system Pending CN112765678A (en)

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