WO2016101638A1 - Operation management method for electric power system cloud simulation platform - Google Patents

Abstract

An operation management method for an electric power system cloud simulation platform. The electric power system cloud simulation platform comprises a cloud simulation resource management system and a cloud simulation application support system. The operation management method comprises the following steps: constructing a cloud simulation resource management system; constructing a cloud simulation application support system; determining the security of the electric power system cloud simulation platform; and performing operation management on the electric power system cloud simulation platform. The solution realizes the cloud simulation analysis and computation application, and supports multiple users to carry out the simulation computing functions such as power flow, transient stability, small interference, short-circuit current and the like on one set or multiple sets of data in a network service-oriented mode according to permissions, thereby solving the limitation of standalone-version software on sharing services and data in the large-scale interconnected power grid analysis and computation.

Description

Operation management method of power system cloud simulation platform Technical field

The invention relates to an operation management method, in particular to an operation management method of a power system cloud simulation platform.

Background technique

With the large-scale construction of China's power grid, the data scale and mode of power grid simulation analysis have undergone tremendous changes, and the power system simulation analysis tools that remain in the stand-alone version have not been able to meet the daily computational analysis work requirements. Requirements include:

(1) Existing simulation analysis tools cannot efficiently support multi-users to carry out data maintenance and calculation work simultaneously on the same set of data or multiple sets of data. When the power grid analysis and calculation, it is forced to use the stand-alone version of centralized office for calculation and analysis work mode for a long time. This approach seems to be increasingly difficult to sustain at present;

(2) The application of simulation calculation has developed rapidly in recent years, but the application development and platform boundaries are not clear. Without the support of basic platform, the application lacks scalability and reliability. How to comb the existing platform results and utilize Cloud computing technology, to create an open, easy-to-use cloud simulation platform for the development and testing of various applications can not wait;

(3) The simulation calculation applications are independently constructed and operated, and the computing resources are calculated according to the peak configuration of the application, and the idle rate is high; the computing resources are scattered, and the resources sharing and utilization cannot be realized globally.

Cloud computing has the characteristics of universal network access, shared resource pool, rapid resilience, measurable service, and on-demand self-service, which can meet the urgent needs of the "big operation, big planning" technical support system for simulation computing applications. .

Summary of the invention

In order to overcome the above deficiencies of the prior art, the present invention provides an operation management method for a power system cloud simulation platform, which implements a cloud simulation analysis and calculation application, and supports multiple users to face one or more sets of data according to rights in a network service mode. The simulation calculation functions such as power flow, temporary stability, small interference, and short-circuit current are carried out, which solves the limitation that the service and data cannot be shared by the stand-alone software in the analysis and calculation of large-scale interconnected power grids.

In order to achieve the above object, the present invention adopts the following technical solutions:

The present invention provides an operation management method for a power system cloud simulation platform, where the power system cloud simulation platform includes a cloud simulation resource management system and a cloud simulation application support system; the method includes the following steps:

Step 1: Build a cloud simulation resource management system;

Step 2: Build a cloud simulation application support system;

Step 3: Determine the security of the power system cloud simulation platform;

Step 4: Operation management of the power system cloud simulation platform.

The step 1 includes the following steps:

Step 1-1: Virtualize physical resources;

Separate physical resources from the operating system, so that multiple virtual servers with different operating systems run independently on the same physical server, maximizing the utilization of physical resources, that is, physical resources are shared by multiple virtual servers, and can be managed through a virtual server. Carry out unified deployment;

Step 1-2: Physical resource pooling;

The physical resources including computing, storage, and network are pooled separately to form a computing resource pool, a storage resource pool, and a network resource pool, and provide virtual computing capabilities, virtual storage capabilities, and virtual networks for the cloud simulation application support system and the cloud simulation application service system. Throughput capacity;

Step 1-3: Distributed storage construction;

Different types of storage devices in the network are assembled through application software to jointly provide data storage and service access functions, and realize storage resource integration and storage service management in a distributed environment;

Distributed storage includes data services, data integration, data access, data interaction, data security, cost control, and operation and maintenance management;

Step 1-4: Build a cloud simulation resource management operating system;

Virtualize servers using Xen server virtualization technology, and be compatible with VMware's vSphere virtualization platform, build a cloud simulation resource management operating system, and manage and allocate resources in a unified manner; cloud simulation resource management operating system includes cloud simulation resource management virtualization management center , cloud simulation resource management unified operation and maintenance platform and cloud simulation resource management service portal.

The step 2 specifically includes the following steps:

Step 2-1: Universal middleware integration;

Utilizes common middleware to shield the differences between different underlying servers and operating systems, implements a unified computing platform and operating environment, provides a consistent platform system service support interface for applications on top, and then clusters virtualization through application servers. The dynamic configuration feature forms an on-demand resource management virtualization layer; the integrated server includes an application server and a database server, the application server is mainly Tomcat; the database server includes Oracle, MySQL, and Redis;

Step 2-2: Power system simulation calculation service;

By adding a load balancing node in front of the computing node, the load balancing node uniformly advertises the Webservice service. After accessing the service, a new task is added to the task queue to be calculated. Each computing node obtains the task by preemptively, and the platform can dynamically Monitor the load of the entire computing node and dynamically scale the computing node resources;

Step 2-3: Cloud simulation calculation data management construction;

Based on unified data modeling and distributed data exchange standards, according to the process of receiving, checking, storing and managing power system calculation and analysis related data, including the current grid and planning grid, not only meet the requirements of dispatching operation, but also meet the requirements of planning and design, in addition to Provide calculation and analysis related data, and provide 2 to 3 years of rolling calculation data;

Step 2-4: Building a parallel computing service;

The cloud-based simulation resource management system provides a virtual machine cluster, deploys and installs a parallel computing platform, and opens a SOAP interface to provide parallel computing services.

In the step 3, the security of the power system cloud simulation platform includes data security, network security, application security, and identity authentication management security.

(1) After installing an operating system on a single physical machine, deploy the application system, and add an IaaS layer between the application system and the physical resource layer to ensure data security.

(2) Ensuring network security by setting a VLAN between the virtual machine or the physical machine to strengthen the network isolation inside the system and setting the QoS policy of each virtual machine or physical machine in the cloud simulation platform;

(3) Set the HA of the physical machine and the virtual machine through the power system cloud simulation platform to ensure application security;

(4) The authentication of the user name and password ensures the security of identity authentication management.

The step 4 includes the following steps:

Step 4-1: Administrator operation management, including resource pool management, service management, service directory management, user management, and log audit management;

(1) Management of Oracle, Mysql, Redis, Tomcat, simulation computing router nodes and simulation computing nodes through resource pool management;

(2) Implement platform service management and business service management through service management;

(3) Implementing middleware service management and integrated service management through service catalog management; middleware services including relational numbers According to the library, non-relational database and application server, the integration service is mainly the integration of the original capabilities within the enterprise;

(4) Implement user information management, role information management, and organization information management through user management; implement user information management including addition, modification, deletion, and authorization operations of personnel through the user management interface; realize self-contained functions including user roles through the role management interface Role information management for definition, addition, deletion, and modification; organization information management including addition, modification, and deletion of organization members through the group user management interface;

(5) Auditing the creation, deletion, and configuration operations of various types of users through log audit management. The audit content includes operation type, operation content, operation time, and operator.

Step 4-2: The user uses the power system cloud simulation platform, including application management, service application, asset management, user registration, monitoring management, alarm management, report management, application server services, database services, simulation computing services, and computing data services.

(1) The user combines the assets applied by the user to form an external application service to implement application management, and the application information, the application use asset information, and the application automatic scaling policy information need to be filled in when the application is created;

(2) Publish platform services and business services as service catalogs for ordinary users to apply for and implement service applications;

(3) Management of MySql assets, Oracle assets and Redis assets through asset management;

(4) Before the user logs in, the user can register with the system by filling in the response information. The user cannot log in before registering. After registering and becoming the user setting role, the user can log in to the system.

(5) Monitoring the host view, resource pool view, user view, and application view through monitoring and management;

(6) The alarm management implements alarm IP, alarm level, alarm cause, alarm occurrence time, recovery time, processing status, detailed information, alarm occurrence index name, alarm occurrence index value, alarm occurrence threshold, alarm condition, and alarm cause. management;

(7) Realizing the management of the occupied resource statistical report, the online running time report and the historical application quantity report through report management;

(8) Automatically apply for the Nginx server as load balancing when creating an application, and automatically modify the configuration of the Nginx server and the Tomcat server to complete the application creation and implement the application server service;

(9) Realize the database service by automatically deploying the database on the power system cloud simulation platform, the database types include Mysql, Oracle and Redis; Mysql and Redis are deployed in the virtual machine resource pool, and Oracle is deployed in the physical machine resource pool;

(10) Realizing the simulation calculation service by automatically deploying simulation calculation on the power system cloud simulation platform, and the simulation calculation service is completed by the simulation calculation routing platform service and the calculation platform service;

(11) Completing the computing data service in the form of a virtual machine on the power system cloud simulation platform.

Compared with the prior art, the beneficial effects of the present invention are:

1. Reduce the difficulty of using the calculation analysis by subordinate unit users;

Various simulation calculation functions such as power flow calculation, transient stability, and small interference calculation are distributed in the form of network services, which are used to realize the calculation and analysis functions. The centralized manner of the service can ensure the consistency of the function version. It is convenient to obtain the user computing environment, which is helpful for diagnosis of problems occurring in user calculation, and timely technical support to reduce the difficulty of using calculation and analysis by users of each subordinate unit.

2. Lean cost control to reduce the cost of business infrastructure;

Based on the parallel power simulation calculation technology, large-scale power simulation calculation tasks, such as power flow calculation, temporary stability calculation, and small interference calculation, are unified scheduling, and the advantages of large-scale parallel computing are exerted, which greatly reduces the operational and service hardware costs.

3. Effectively improve the collaboration capabilities of simulation applications and services;

The simulation application calculation is transformed from the traditional single-region independent computing mode to the multi-region joint collaborative computing mode, and the multi-person simultaneous collaborative maintenance, on the basis of which the data is spliced and verified automatically, providing calculation and analysis data for the rolling calculation. Improved ability to simulate applications and business collaboration.

4. Improve resource utilization and bring economic and social benefits;

The cloud simulation platform can improve resource utilization, improve operation and maintenance, reduce labor and hardware costs, reduce energy consumption, and bring significant economic benefits to enterprises. The cloud simulation platform realizes the transformation of work mode and management innovation, reduces the travel of personnel and improves the working conditions of personnel calculation, and ensures the calculation work is human-oriented from the technical conditions; improves the utilization of computing resources, practices resource sharing, reduces costs and increases efficiency. The concept of energy saving and emission reduction brings good social benefits to the grid company.

DRAWINGS

1 is a structural diagram of a power system cloud simulation platform in an embodiment of the present invention;

2 is a virtualized hardware resource diagram in an embodiment of the present invention;

3 is a virtual resource pooling diagram in an embodiment of the present invention;

4 is a diagram of a cloud simulation resource management operating system in an embodiment of the present invention;

FIG. 5 is a schematic diagram of a parallel computing service architecture of a cloud simulation application support system according to an embodiment of the present invention.

detailed description

The invention will be further described in detail below with reference to the accompanying drawings.

Based on cloud computing technology, integrated power system simulation calculation data release, core analysis and calculation program, parallel computing, general middleware and other capabilities, simulation, analysis of various types of power systems, such as power flow, transient stability, short-circuit current, voltage stability, and small interference stability. Computation and power system simulation calculation data management and verification functions are released in the cloud in the form of measurable and billable network services. Users or third-party systems can use these services on-demand through the network to solve business applications and service platforms. The decoupling problem has changed the development and usage mode of traditional power system simulation analysis software, and realized the transformation of work mode and management innovation.

The power system simulation analysis is referred to as the simulation calculation, and the simulation of the power system operation state is analyzed through mathematical methods such as modeling.

The power system cloud simulation platform is referred to as the cloud simulation platform, and the power system simulation analysis and calculation platform based on the cloud computing technology includes a cloud simulation resource management system, a cloud simulation application support system, and a cloud simulation application service built on both.

The power system cloud simulation platform releases power system simulation calculation data, power system simulation calculation, parallel computing, and general middleware services to the cloud, and simulates various types of simulation calculation services such as power flow, transient stability, short-circuit current, voltage stability, and small interference stability. And the simulated computing data service is presented to the users in the cloud in the form of a resource pool. The power system cloud simulation platform resource pool provides dynamic scalability, high reliability, insufficient computing resources, and automatically adds virtual machine computing resources according to the custom template; when the computing resources are excessive, the virtual machine is automatically deleted to release the computing resources.

In the cloud, multiple users maintain, manage, check, and perform simulation calculation functions such as power flow, temporary stability, small interference, and short-circuit current according to the rights of one or more sets of data. User self-service mode, various resources required for new application application, such as database, application server, simulation calculation, parallel computing capability, etc. After applying for approval (manual approval or automatic approval), resources are automatically deployed through the cloud platform to reduce the number of resources. The process of hardware purchase, environment preparation, software deployment, etc. during the release of traditional applications. The user manually releases various resources by unsubscribing.

The power system cloud simulation platform is based on the principle of software layering. By classifying and managing the typical simulation application system model, the services and technologies that are changed as needed are separated, that is, the user does not need to consider hardware and operating system when implementing the service. Technical details of software architecture platforms such as software. Various business system developers can make full use of the cloud simulation platform to develop complex application software applications, focusing on business logic and management mode, without having to care about which technology to implement, and truly realize "on-demand, on-demand applications." ".

The present invention provides an operation management method for a power system cloud simulation platform, (FIG. 1) A power system cloud simulation platform includes a cloud simulation resource management system and a cloud simulation application support system; the method includes the following steps:

Step 1: Build a cloud simulation resource management system;

Step 2: Build a cloud simulation application support system;

Step 3: Determine the security of the power system cloud simulation platform;

Step 4: Operation management of the power system cloud simulation platform.

The step 1 includes the following steps:

Step 1-1: Virtualize physical resources;

Separate physical resources from the operating system, so that multiple virtual servers with different operating systems run independently on the same physical server, maximizing the utilization of physical resources, that is, physical resources are shared by multiple virtual servers, and can be managed through a virtual server. Uniform deployment greatly improves server hardware utilization and can effectively reduce server purchases and infrastructure investment;

Virtualization is classified according to its application. It can be divided into server virtualization, storage virtualization, network virtualization, etc. It is the basis of virtual resource pooling, which can effectively improve energy management and help enterprises build green data centers. Take server virtualization as an example, it can be divided into two structures: the host architecture (typically represented by Linux Container, Docker) and the bare metal architecture (typically represented by Xen, KVM), as shown in Figure 2;

The technical advantages of virtualized hardware resources are mainly reflected in the following aspects:

(1) Reduce the number of servers and provide a method of server consolidation to reduce initial hardware procurement costs. Reduce server footprint, heat dissipation, and power consumption to further reduce costs.

(2) Improve the utilization of server resources and improve the computing power of the server. At the same time, simplify server deployment, management and maintenance, and reduce administrative costs.

(3) Improve availability, and have a highly reliable server application environment with transparent load balancing, dynamic migration, automatic fault isolation, and automatic system reconfiguration. At the same time, it supports fast transfer and replication of virtual servers, providing a simple and convenient disaster recovery solution.

(4) Improve reliability and perform system update without interrupting user work. And support the integration of heterogeneous operating systems to ensure the continued operation of the application.

Step 1-2: Physical resource pooling;

As shown in Figure 3, the resource pool is the basis for building a cloud simulation resource management service. The physical resources including the computing, storage, and network are pooled separately to form a computing resource pool, a storage resource pool, and a network resource pool. System and cloud simulation application service systems provide virtual computing power, virtual storage capabilities, and virtual network throughput;

The technical advantages of virtual resource pools are mainly reflected in the following aspects:

(1) Decoupling applications from computing resources to enable sharing of computing resources and overcome the limitations of IT system resource applications.

(2) The construction, configuration and procurement of resource pools are no longer tied to specific projects.

(3) The interface between application and physical resources is clear, and the operation and maintenance and management have their own functions and clear responsibilities.

(4) Resource management no longer relies on the original system integrator to shorten the demand response time.

(5) Promote the rational use of resources, reduce costs and improve efficiency.

Step 1-3: Distributed storage construction;

Different types of storage devices in the network are assembled through application software to jointly provide data storage and service access functions, and realize storage resource integration and storage service management in a distributed environment;

Distributed storage includes data services, data integration, data access, data interaction, data security, cost control, and transport Dimensional management

(1) Data services: Provide efficient information integration, exchange, storage and access services, centrally manage data services, centrally upgrade, establish an efficient information platform, and provide data source support for upper-layer business application systems and management systems.

(2) Data integration: According to the unified norms, all kinds of data are integrated and centralized to realize centralized and unified management of data, effectively improving information sharing application and management efficiency across regions and departments.

(3) Data access: Provides functions such as establishing, querying, updating, copying, and maintaining file data, achieving distribution transparency, query optimization, global application coordination, global execution concurrency control, data synchronization update and recovery, and the like.

(4) Data interaction: Through the unified management of data, a reasonable data layout is formed, and the data interaction overhead of the service terminal is reduced or reduced.

(5) Data security: Ensure the security and reliability of company-level data assets by building a unified security system for data access, storage, access and management.

(6) Cost control: Using distributed technology to reduce hardware investment, tap the potential of hardware, and greatly reduce hardware investment. At the same time, centralized management of idle resource capabilities, concentration of superior resources, and improved service performance.

(7) Operation and maintenance management: Improve system operation and maintenance management efficiency, greatly facilitate system maintenance, greatly reduce the cost of system maintenance, and make centralized maintenance and unified processing possible.

Step 1-4: Build a cloud simulation resource management operating system;

As shown in Figure 4, the server is virtualized using Xen server virtualization technology, and is compatible with VMware's vSphere virtualization platform to build a cloud simulation resource management operating system to uniformly manage and allocate resources. The cloud simulation resource management operating system includes cloud simulation. Resource Management Virtualization Management Center CVM, Cloud Simulation Resource Management Unified Operation and Maintenance Platform COC, Cloud Simulation Resource Management Service Portal CSP.

(1) Based on Xen server virtualization technology, CVM provides administrators with functions such as manual creation, deletion, start-stop, recovery, suspension, migration, and VNC access to virtual machines to meet the manual management and service of small-scale private cloud environments. Requirements; CVM supports three-level HA mechanisms such as management nodes, hypervisors, and user virtual machines to minimize the impact of system anomalies on user service interruptions; multi-level optimization through hardware platforms, hypervisors, privileged virtual machines, and user virtual machines. Improve the performance and stability of the Xen virtualization platform to meet the deployment needs of multiple application scenarios.

(2) Based on CVM and VMware vCenter, COC implements flexible and unified operation and maintenance management for heterogeneous virtualization platforms to meet users' needs for operation and maintenance management and service management of large and medium-sized private cloud environments; COC is oriented to system administrators and operators. Dimensional administrators and other roles to achieve unified operation and maintenance management of the cloud computing platform, providing IaaS layer cloud services for different levels of end users such as organization administrators and project members; through physical resource partitioning model, to achieve server, storage, network, etc. Uniform, centralized, and scalable management of hardware resources; provision of virtual machine creation and management strategies for load balancing, energy conservation and environmental protection; and provision of strong identity authentication based on Ukey.

(2-1) Monitoring and management;

The COC has the topology and monitoring functions. The maintenance administrator can monitor the resource information in its own rights and control the resource usage and device health status through the decentralized domain function.

Support administrators to customize monitoring statistics. Support multi-dimensional classification monitoring, convenient for user management and use: according to the logical node to which the monitoring object belongs, according to the business type of the virtual machine.

Supports monitoring the use of physical resources, CPUs, memory, and hard disks of virtual resources.

Cloud resource management system: average CPU/memory/storage usage, number of failed servers, virtual machine CPU/memory/storage resource allocation, etc.

Cluster: average CPU/memory usage, number of failed servers, virtual machine CPU/virtual memory allocation, etc.

Server: CPU/memory/disk occupancy, disk IO, network traffic, number of virtual machines, basic server information, etc.

Virtual machine: CPU usage, memory usage, operating status, network inflow and outbound traffic, disk read and write rates, and so on.

Switch: Port status, traffic.

Statistics: server performance trends, virtual resource allocation statistics, and more.

(2-2) Topology management;

Support topology to automatically discover system resources.

Supports the display of resources, resource relationships, and states in the form of topology graphs, including normal and fault conditions. Resources include clusters, servers, virtual machines, and storage.

(2-3) Alarm management;

Fault management is an important activity to ensure the normal operation of the system, including: system fault prevention design, fault detection and processing. Alarm management is an important part of fault management. And provide email and SMS notification alarm function.

(2-4) Log management;

Log management includes logging, viewing, and auditing. Supported logs include operation logs/system running logs and black box logs;

Operation log: The administrator accesses the operation and maintenance management platform logs, that is, the administrator's operation logs, including logs of all user operations such as administrator login, configuration modification, and alarm monitoring.

Black Box Log: Fault location for business and system anomalies.

(2-5) Statistical report management;

The system supports various statistical reports and running analysis reports.

(2-6) User Management;

The system supports access control for users, supports user groups, decentralization, and password management, and facilitates maintenance of the internal tasks of the team to maintain the system in an orderly manner.

Support for setting password policies to ensure the confidentiality of passwords. For example: the length of the password, whether the password contains special characters, the length of time the password is valid, and so on.

(2-7) configuration management;

Configuration management supports initial configuration and configuration adjustment, configuration save and backup, including network, alarm, docking, and services.

(2-8) Software Management;

The software system has the following characteristics:

a) software pre-installation and preset; software automated batch installation;

b) User virtual machine software: Create virtual machines and install application software through template mode, and support batch creation of virtual machines, which greatly reduces user operation and operation difficulty.

c) Upgrade, patch and rollback automation: support upgrade, patching with tool support, automatic health check, software distribution, upgrade/patching, verification, and rollback. And support silent upgrade, that is, upgrade / patch does not affect the business.

(2-9) Virtual machine operation and maintenance management;

Including virtual machine lifecycle management, virtual machine operation management, virtual machine resource adjustment, remote diagnostic virtual machine;

Virtual machine lifecycle management: create, delete, pause.

Virtual machine operation management: start, shut down, restart, auto-hibernate, migrate, and view the usage of virtual resources, including: virtual computing, storage, network resources.

Virtual machine resource adjustment: vCPU count, memory, network card, disk mount and uninstall.

Remote diagnosis of virtual machines: You can remotely diagnose virtual machines through the virtual machine login function on the cloud operating system management system.

(3) CSP builds a cloud computing service portal based on COC, realizes the basic BSS system and service portal function, meets the needs of users to build a public cloud platform; realizes the definition, release, application, approval, and billing of various services of the cloud computing center. Deduction, reporting, alarm and other functions, including virtual machine computing services, virtual storage services, virtual network services and third-party application services; CSP as a solution integration platform and customized R&D platform for the company's cloud computing related software.

(3-1) Self-service business issuance process;

Users access the service template directory through the self-service portal, create virtual machine templates, upload application software packages, design service templates, and publish service templates according to enterprise application requirements.

After the service template is published, the user creates an application through the wizard application creation process, including filling in basic application information, configuring application network and application parameters, selecting an application administrator, and finally rapidly deploying the application.

(3-2) Application templates and automated deployment;

In order to enhance the business agility of the enterprise, to quickly adapt to the changing business environment in the future, the cloud resources (computing, storage, network and application software) are abstracted into template data units, and the application template and one-click design are designed based on graphical drag and drop. Application deployment greatly improves application speed and reliability.

The step 2 specifically includes the following steps:

Step 2-1: Universal middleware integration;

Utilizes common middleware to shield the differences between different underlying servers and operating systems, implements a unified computing platform and operating environment, provides a consistent platform system service support interface for applications on top, and then clusters virtualization through application servers. Dynamic configuration features form an on-demand resource management virtualization layer; integrated servers include application servers and database servers, application servers are primarily Tomcat; database servers include Oracle, MySQL, and Redis; of which Tomcat, MySQL, and Redise utilize virtualization With integrated technology, Oracle leverages non-virtualization integration technology.

Step 2-2: Power system simulation calculation service;

The power system simulation computing service technology is used to perform WebService on the core program of simulation calculation. The core program written in C++ is published as WebService, which provides the basis for remote call through the network. In order to be able to adapt to the simulation of the variable load situation, the load balancing node is uniformly released by the load balancing node before the computing node is added. After accessing the service, a new task is added to the task queue to be calculated, and each calculation is performed. The node obtains the task by preemptively, and the platform can dynamically monitor the load of the entire computing node, and can dynamically flex the computing node resources;

Step 2-3: Cloud simulation calculation data management construction;

Based on unified data modeling and distributed data exchange standards, according to the process of receiving, checking, storing and managing power system calculation and analysis related data, including the current grid and planning grid, not only meet the requirements of dispatching operation, but also meet the requirements of planning and design, in addition to Provide calculation and analysis related data, and provide 2 to 3 years of rolling calculation data;

Implement cloud simulation data access service interface specifications and standards, realize unified and effective management of grid data models of different voltage levels, reduce data errors and data loss during model conversion, and adopt unified and standardized grid model standards and calculation data standards. The data model adopts the IEC CIM international standard, and the steady-state data exchange adopts the E format specification. The transient calculation data has no formal standard at home and abroad, and adopts the data standard of the power system analysis integrated program (PSASP), which is widely used in China. The universal cloud service interface and good data exchange standard can achieve good data interaction between the simulation application and the data platform and between the data platforms, ensuring that the data is visible and shared within the entire network.

Provide a variety of management services for computing data, including data comparison, data upload and download, data check, electricity Net model data mosaic segmentation, etc.

Data management implements rich access editing functions and services such as data modification, deletion, viewing, and various calculation parameter settings, basic database, power flow calculation database, temporary stability calculation database, and other data management maintenance functions and services.

Data management provides geographic maps, single-line diagram editing features, and psasp7.0. This includes creating new graphics, editing graphics, saving graphics, deleting graphics, and more. During normal operation, the user edits the graphic online and saves the graphic on the server side.

Data management also provides a log system that records the behavior of system operations and user operations and writes them to the log data table according to specifications. Maintenance personnel can use the information recorded by the log system to analyze the cause of the system error, and the user uses the system to optimize and improve the system.

Data management mainly implements management of different engineering data of different users, including modification, deletion, viewing of engineering data, and setting of various calculation parameters. The platform uses J2EE technology to provide various data management to users through the Web. The function.

Data management mainly implements basic database, power flow calculation database, temporary stability calculation database and other data management and maintenance functions.

Basic data maintenance mainly implements maintenance of component data and parameter data in the basic database, including data group maintenance, parameter data maintenance, regional partition plant maintenance, typical parameter import, component data maintenance, data export, basic data check, and reference value correction. And other functions.

The power flow calculation data maintenance includes power flow operation management, power flow data modification, calculation parameter setting, power flow result statistics, data refresh return, and power flow result output. The data refresh function is to re-extract data from the basic database according to the job definition to refresh the trend job calculation data, and the function thereof is: on the one hand, the modification of the basic database can be reflected into the calculation operation; on the other hand, Modifications made through the "Data Modification" button are also obsolete.

Temporary stability calculation data maintenance includes temporary stability operation management, temporary stability data modification, calculation parameter setting, temporary stability result statistics, data refresh return, temporary stability result output and other functions.

For data copying, record display setting, record column replacement, record output, basic search, data filtering, record sorting, text search and other data maintenance functions, the system is implemented as a component and thus shared among different data maintenance modules.

Step 2-4: Building a parallel computing service;

The cloud-based simulation resource management system provides a virtual machine cluster, deploys and installs a parallel computing platform, and opens a SOAP interface to provide parallel computing services.

Parallel computing is based on serial computing. It refers to the process of simultaneously solving computational problems using multiple computing resources. It is the main way to implement high-performance, high-availability computer systems. Parallel computing simulates the state of a transaction in a sequence that contains many simultaneous, complex, and related events in a natural world. In simple terms, parallel computing is the computation done on a parallel computer.

The architecture model of parallel computer is an abstraction of parallel computer hardware hierarchy, including system type and system structure. Through parallel programming framework, the computational decoupling and rational allocation of resources are realized, and large and complex computational problems are quickly solved, as shown in Fig. 5. Shown.

The technical advantages of parallel computing are mainly reflected in the following aspects:

(1) Construct a parallel computing system under a distributed architecture to improve the computational efficiency for massive data processing.

(2) Improve the concurrency of data processing through the decomposition of computational tasks and the integration of calculation results, while simplifying the difficulty of parallel programming.

(3) Provide efficient, flexible, and easily scalable computing service capabilities to customize development to meet computing models in smart grid applications The need for development.

Cloud simulation security mainly includes two aspects: security management module based on infrastructure as a service layer, and security strategy based on overall cloud simulation platform architecture design.

The cloud security management module can manage all kinds of network security facilities in a unified manner, and record and maintain various security events such as system running status and abnormal events. The system is modular, easy to deploy, easy to use, and easy to upgrade. Each module can be used at the same time or selectively as needed to meet the needs of cloud computing center security management, security protection, and operation and maintenance management. It may eliminate or reduce the security risk of the cloud simulation platform and meet the cloud security requirements of users with different security levels.

In the step 3, the security of the power system cloud simulation platform includes data security, network security, application security, and identity authentication management security.

(1) After installing the operating system on a single physical machine, deploy the application system, and add the IaaS layer between the application system and the physical resource layer to ensure data security; use virtualization technology and utilize the cloud computing platform to bring such as HA ( Features such as High Available) provide high reliability of the system in which the application is located and secure data. If a physical device in the resource pool is damaged, it will not cause a certain system to be unavailable, and online migration can be performed in a very short time. At the same time, through the cloud simulation platform, the isolation between virtual machines is utilized, and the virtual machine resources on the virtual machine have their own independent storage space, CPU usage rights, memory space, network transmission channel, etc., so that data mixing and loss are not caused.

(2) By setting up a VLAN between the virtual machine or the physical machine to strengthen the network isolation inside the system, and setting the QoS policy of each virtual machine or physical machine in the cloud simulation platform to ensure network security; and strengthen the security of network transmission, Improve the network security of the cloud emulation platform by using SSL encryption transmission in the transport protocol. At the same time, it is also possible to introduce traditional methods such as firewalls, security gateways and other hardware and software devices to enhance network security.

(3) Setting the HA of the physical machine and the virtual machine through the power system cloud simulation platform to ensure application security; in a scenario where the application HA is set, if the monitored application stops the service or the service program has a problem, After the cloud simulation platform is aware by the monitoring system, it will first try to start the program again in the same virtual machine or system; if the application cannot recover after specifying the number of attempts or time, then the same service is started in other environments. To continue to provide services.

(4) Guarantee the security of identity authentication management by means of user name and password authentication; strict requirements on password rules, such as the use of both uppercase and lowercase letters and numbers to enhance password strength, which can reduce some risks caused by brute force cracking, further Improve user authentication security. In addition, the domain name authentication method in the user environment can be connected. Because the domain user strengthens the authentication management through some security measures, the cloud simulation platform can also perform the system identity authentication management through the domain authentication mode.

The power system cloud simulation platform has a complete monitoring system and a log auditing system used by users. Through the monitoring system of the cloud simulation platform, the status of various resources and services in the cloud simulation platform can be monitored in real time. Through the monitoring interface, you can visually observe the CPU, memory, network I/O, number of sessions, number of requests, number of threads, and other indicators. By observing these indicators, you can quickly locate system problems and pre-judgment system bottlenecks. The cloud simulation platform provides a complete log audit function. Through this function module, all operations of all users in a certain period of time can be traced, and the user's compliance operations are restricted according to the operation records. All monitoring information can be exported to the local through the cloud simulation platform, which is convenient for administrators to perform offline analysis and backup.

The power system cloud simulation data center constructed by cloud computing technology can provide simulation data services such as grid main equipment parameters, operation mode and power grid planning, and provide calculation and analysis data for simulation calculation through cloud interface, allowing users to coordinate data maintenance in the cloud. And management, to meet the power grid simulation calculation accuracy and quality reliability, but also make the simulation data open, standard, Available, easy to use, unified promotion and use in the cloud, can quickly promote the level of grid computing and analysis and grid security and stability level of the whole network or the province.

Changing the way users use the computational analysis software model, the way the computational analysis software is used as a service, allows users to access computational analysis services over the network. Simultaneously emulating data storage in the cloud, allowing multiple users to share and coordinate the use of cloud data in the cloud, multi-users can also form good interactions. For partitioned grid partition permission operations, a large number of work coordination methods and security checks are required. Very large meaning; the simulation cloud computing center can provide various core computing functions such as PSASP and PSD, and its parallel computing features make the requirements of high-volume fast computing easy to meet, while providing good computing support flexibility, Can save users hardware costs.

Cloud simulation application development test and operational environments provide simulation business agility, simplify test and release environments, seamlessly switch from test to release environment, and shorten development cycles for user products and applications.

The entire platform can be divided into two types of roles, system administrators, system developers.

System administrator: approve user registration, application publishing; register internal and external integration services and middleware services. Manage the availability of resources.

System developers: develop and submit applications, develop application runtime strategies; apply for service resources, and develop service scheduling strategies.

The step 4 includes the following steps:

Step 4-1: Administrator operation management;

The administrator of the cloud simulation platform can visualize the page through the cloud simulation platform, perform online and offline operations similar to e-commerce services (commodities), support catalog management and package package sales, and provide users with dynamic scalability, high reliability, self-service, Monitorable cloud simulation application support.

Administrator operation management includes resource pool management, service management, service directory management, user management, and log audit management;

(1) Management of Oracle, Mysql, Redis, Tomcat, simulation computing router nodes and simulation computing nodes through resource pool management;

Resource pools are created automatically during the creation of platform services. During the process of creating a platform service, you can choose the type of management resource. The resource pool can manage physical machine resources or manage virtual machine resources. These resources can be virtual or physical machines with specific applications installed, or bare virtual machines with no applications installed.

For a resource pool that manages virtual machine resources, the managed virtual machines in the resource pool are created according to the virtual machine configuration and virtual machine template selected when the platform service is created. The resource pool can dynamically maintain the number of available virtual machines in the resource pool according to the preset resource pool automatic scaling policy. You can also disable the automatic scaling policy, manually add virtual machines to the resource pool, or manually destroy the virtual machines in the resource pool.

For a resource pool that manages physical resource resources, the resources in the resource pool cannot be automatically scaled. You can add virtual machines to the resource pool by manually registering them, or select physical machines that need to be unassigned and remove them from the resource pool. Remove.

(2) Implement platform service management and business service management through service management;

Platform Services: This service is the most basic service that makes up an application. The service is installed on a virtual machine or a physical machine. For a virtual machine, the service is already included in the virtual machine template, and the created virtual machine resource already contains the platform service and can be used normally. For physical machines, platform services need to be manually installed, and can be used normally after being registered to the physical machine resource pool. The power system cloud simulation platform services mainly include: database service: Oracle, Mysql; application server service: Tomcat; NoSql service: Redis; simulation computing service: simulation calculation of router node, simulation calculation and calculation node.

Business services: There are two main ways to create business services. 1 Integrate services from other systems into the cloud simulation platform. 2. Apply multiple platform services to more advanced services by applying resources from the platform service resource pool. A variety of services are published in the form of webservice. Power system cloud simulation platform business services mainly include: simulation computing services, parallel meters Calculate the service.

In addition to pre-engineered platform services and business services in the cloud simulation platform, administrators can add platform services and business services to the platform according to the needs of their own applications.

(3) Implementing middleware service management and integrated service management through service catalog management; middleware services include relational database, non-relational database and application server, and integration service is mainly the integration of original capabilities within the enterprise;

(4) Implement user information management, role information management, and organization information management through user management; implement user information management including addition, modification, deletion, and authorization operations of personnel through the user management interface; realize self-contained functions including user roles through the role management interface Role information management for definition, addition, deletion, and modification; organization information management including addition, modification, and deletion of organization members through the group user management interface;

(5) Auditing the creation, deletion, and configuration operations of various types of users through log audit management. The audit content includes operation type, operation content, operation time, and operator.

(6) DashBoard main page;

The DashBoard main page monitors the system service information statistics, resource pool usage profiles, platform health status, and all alarm health of the platform. among them:

Service information: details the number of registered users, the total number of hypervisors, the total number of physical machines, the total number of virtual machines, the total number of SaaS applications, and the total number of online SaaS application requests per second, memory remaining rate, and storage remaining rate;

Resource pool usage instructions: Each resource is a cylinder, and three different colors in one resource are used to indicate occupied, unoccupied, and uncreated, giving an intuitive concept;

Platform health status: Display the physical machine resource pool occupancy rate and virtual machine resource pool occupancy rate, and give an evaluation of the running status of the platform;

Platform alarm monitoring: records and displays alarm information, including alarm level information, alarm type, alarm location, occurrence time, and processing status.

(7) Application automatic scaling;

a) elastic expansion group;

Applying automatic scaling is to augment or reduce the resources of the elastic scaling group.

An elastic scaling group is a collection of virtual machines that apply to the same scaling policy. The virtual machines in the elastic scaling group are homogeneous. You can set the elastic scaling policy for the elastic scaling group. The system controls the resources of the elastic scaling group according to the customized elastic scaling policy, including the “stretching” and “shrinking” of the elastic scaling group.

Mainly the operation of virtual machines in the group. Stretching is the creation, startup, wake-up, etc. of the virtual machine. The shrinking is to delete, shut down, and hibernate the virtual machine. The actual purpose is to control the resources used by the scaling group by controlling the resources of the virtual machine, and then control the resources occupied by the application.

b) elastic scaling strategy;

An automatic scaling strategy that acts on an elastic scaling group. The capacity expansion and capacity reduction of the elastic expansion group can be triggered automatically according to the customized monitoring conditions. Manage resource adjustments within the elastic scaling group to ensure healthy application operation.

The elastic scaling strategy is the core and the engine. The scaling of resources in an elastic scaling group is controlled by an elastic scaling policy.

When an administrator defines an elastic scaling policy, it is divided into two parts to define trigger conditions and application operations. The trigger condition is composed of monitoring indicators. The current monitoring indicators include: CPU usage (%), memory usage (%), disk inflow (KB/S), disk outflow (KB/S), and network inflow (KB/S). , network outflow (KB/S)

c) application automatic scaling;

The application of automatic scaling is actually the process in which the scaling policy acts on the scaling group to adjust the resources in real time.

After the application is created, the elastic scaling group and the elastic scaling policy are also created. At this time, the elastic scaling policy is running, and the resource load of the elastic scaling group is monitored in real time according to the set monitoring indicators.

When the resource load of the elastic scaling group meets the conditions defined by the elastic scaling policy, the elastic scaling policy triggers the elastic scaling group to perform scaling and resource adjustment.

d) inter-application resource sharing strategy;

The sharing of resources between applications is achieved through inter-group policies.

Inter-group policy: An inter-group resource sharing strategy between different application elastic scaling groups. Manage resource allocation and preemption between each elastic scaling group in a resource pool. Ensure the healthy operation of the entire resource pool. For applications that do not have a scaling group and do not participate in preemption, they are not within the scope of management and do not perform any operations on the service. The inter-group resource sharing policy can be combined with the automatic scaling policy of the elastic scaling group to meet the elastic setting requirements of resources among multiple applications. The administrator sets the resource reservation of the resource pool in which the sharing policy is located by setting the sharing policy between the groups. Values, and the resource usage of the elastic scaling group for different applications needs to be set. When the system detects that the resources of the resource pool are less than the resource reservation value, the system recovers resources from the scaling group of the application with lower priority to ensure that the resources are restored. When a high-priority application requests a resource, there are enough resources in the resource pool for allocation.

Another way to use inter-group policies is to use them in conjunction with scheduled tasks to reach the purpose of time-sharing resources. The inter-group policy provides a configuration for setting the resource usage cap of the elastic scaling group. When the resource usage limit of an elastic group is relatively small, the resource usage of the elastic group is reduced below the upper limit to achieve the purpose of resource recovery.

e) resource time sharing;

The system provides the ability to time-multiplex resources. Time-sharing multiplexing is done through the scheduled task Schedule Task.

Planned task strategy: The planned task strategy needs to be combined with the inter-group strategy and the elastic scaling strategy to achieve the purpose of resource time-sharing. Mainly combined with the use of inter-group strategy.

There are two types of planning tasks:

A one-time task, the task is executed at a certain time, and it ends when it is executed only once.

Periodic tasks, tasks can be set to perform periodically, such as one day, one week, and so on.

Administrators can set up different scheduled tasks according to their needs.

Administrators can define different scheduled tasks and run different inter-group policies at different time periods. The inter-group policy sets the resource usage limit of the scaling group according to the needs of the service. In this way, the scaling group can be forced to reclaim resources at different times, so that applications that need to release resources are forced to release resources, so that applications that need to use resources are required. Use resources. Achieve the purpose of resource time sharing.

Step 4-2: The user uses the power system cloud simulation platform, including application management, service application, asset management, user registration, monitoring management, alarm management, report management, application server services, database services, simulation computing services, and computing data services.

(1) The user combines the assets applied by the user to form an external application service to implement application management, and the application information, the application use asset information, and the application automatic scaling policy information need to be filled in when the application is created;

The parameters of the automatic scaling policy are as follows:

Measurement indicator selection: Select monitoring indicators for automatic expansion;

Pre-expansion indicator threshold: the measurement index threshold when expanding;

Judgment mode: choose greater than or equal to or less than or equal to;

Number of extended instances: the number of instances that are extended once after the threshold condition is met;

The maximum number of extended instances: the total number of instances that can be extended;

Pre-contraction index threshold: the threshold of the measurement index at the time of contraction;

Number of shrinking instances: the number of instances of one shrink after satisfying the threshold condition;

The lower limit of the number of shrink instances: the minimum number of instances.

(2) Publish platform services and business services as service catalogs for ordinary users to apply for and implement service applications;

The service provided on the shelf can provide the application. The service will not be displayed in the user application interface. The ordinary user can only apply for the platform service and business service that the user group has the right to apply for. Only one service instance can be applied at a time. information:

Asset name; a personalized input item that is automatically generated based on the application configuration (supports the generation of input boxes and drop-down boxes).

After the service application is submitted, it is determined whether the resource is obtained from the resource pool for distribution by the administrator according to whether the attribute is set by the service directory.

For platform services, ordinary users can apply for multiple times, but the percentage of resources applied for in the resource pool cannot exceed the upper limit of the total number of applications.

For business services, the same user can only apply for the same service once.

(3) Management of MySql assets, Oracle assets and Redis assets through asset management;

In the asset management interface, the usage help information of the asset can be displayed, and the content of the help information is served by the platform to which the asset belongs.

decided. At the same time, the type of platform services also determines what operations can be performed on the assets.

For all assets, the operation of returning and modifying names can be performed; for virtual types of assets, VNC can be performed.

Visit, start, and stop the operation of the virtual machine.

(4) Before the user logs in, the user can register with the system by filling in the response information. The user cannot log in before registering. After registering and becoming the user setting role, the user can log in to the system.

(5) Monitoring the host view, resource pool view, user view, and application view through monitoring and management;

Host view: Shows the monitoring indicators of the underlying hypervisor. Mainly including CPU usage, memory usage, etc.;

Resource pool view: Shows all the resource pools in the system. After clicking the resource pool, it displays the service instances included in the resource pool. Clicking on a service instance displays the indicators corresponding to the service instance.

User view: shows the relationship between the user and the asset. After clicking on the specific asset, the indicator information associated with the asset will be displayed.

App view: Shows the relationship between the app and the asset. After clicking on the specific asset, it will display the metric information associated with the asset.

(6) The alarm management implements alarm IP, alarm level, alarm cause, alarm occurrence time, recovery time, processing status, detailed information, alarm occurrence index name, alarm occurrence index value, alarm occurrence threshold, alarm condition, and alarm cause. The administrator can view the alarm information of the hypervisor on the platform and the alarm information of the virtual machine. The common user can only view the alarm information of the applied asset.

(7) Through the report management, realize the management of the occupied resource statistical report, the online running time report and the historical application quantity report; through the report, the administrator can better grasp the running status of the whole system platform and make a better future for the system. Planning. The current format mainly supports HTML, EXCEL, and PDF formats.

(8) Automatically apply for the Nginx server as load balancing when creating an application, and automatically modify the configuration of the Nginx server and the Tomcat server to complete the application creation and implement the application server service;

(9) Realize the database service by automatically deploying the database on the power system cloud simulation platform, the database types include Mysql, Oracle and Redis; Mysql and Redis are deployed in the virtual machine resource pool, and Oracle is deployed in the physical machine resource pool;

(10) Realize the simulation calculation service by automatically deploying simulation calculation on the power system cloud simulation platform; the simulation calculation service is completed by the simulation calculation routing platform service and computing platform service; on the cloud simulation platform, the simulation calculation service is released as the trend, The service catalog of the simulation calculation core algorithm such as temporary stability, voltage stability, short circuit, small interference, etc., is used when the user applies for the simulation calculation service.

(11) Completing the computing data service in a virtual machine manner on the power system cloud simulation platform; and maintaining the deployed service node in a manner of calculating the data service resource pool. The resource pool selects the service node in a round-robin manner. The computing data service software function call is implemented on the cloud simulation platform, providing users with data uploading and downloading services, and providing data comparison, checking, conversion and other services.

It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limited thereto. Those skilled in the art can still modify or replace the specific embodiments of the present invention with reference to the above embodiments. Any modifications or equivalents departing from the spirit and scope of the invention are intended to be included within the scope of the appended claims.

Claims (8)

1. An operation management method for a power system cloud simulation platform, characterized in that: the power system cloud simulation platform comprises a cloud simulation resource management system and a cloud simulation application support system; the method comprises the following steps:

   Step 1: Build a cloud simulation resource management system;

   Step 2: Build a cloud simulation application support system;

   Step 3: Determine the security of the power system cloud simulation platform;

   Step 4: Operation management of the power system cloud simulation platform.
2. The operation management method for a power system cloud simulation platform according to claim 1, wherein the step 1 comprises the following steps:

   Step 1-1: Virtualize physical resources;

   Separate physical resources from the operating system, so that multiple virtual servers with different operating systems run independently on the same physical server, maximizing the utilization of physical resources, that is, physical resources are shared by multiple virtual servers, and can be managed through a virtual server. Carry out unified deployment;

   Step 1-2: Physical resource pooling;

   The physical resources including computing, storage, and network are pooled separately to form a computing resource pool, a storage resource pool, and a network resource pool, and provide virtual computing capabilities, virtual storage capabilities, and virtual networks for the cloud simulation application support system and the cloud simulation application service system. Throughput capacity;

   Step 1-3: Distributed storage construction;

   Different types of storage devices in the network are assembled through application software to jointly provide data storage and service access functions, and realize storage resource integration and storage service management in a distributed environment;

   Distributed storage includes data services, data integration, data access, data interaction, data security, cost control, and operation and maintenance management;

   Step 1-4: Build a cloud simulation resource management operating system;

   Virtualize servers using Xen server virtualization technology, and be compatible with VMware's vSphere virtualization platform, build a cloud simulation resource management operating system, and manage and allocate resources in a unified manner; cloud simulation resource management operating system includes cloud simulation resource management virtualization management center , cloud simulation resource management unified operation and maintenance platform and cloud simulation resource management service portal.
3. The operation management method of the power system cloud simulation platform according to claim 1, wherein the step 2 specifically comprises the following steps:

   Step 2-1: Universal middleware integration;

   Utilizes common middleware to shield the differences between different underlying servers and operating systems, implements a unified computing platform and operating environment, provides a consistent platform system service support interface for applications on top, and then clusters virtualization through application servers. The dynamic configuration feature forms an on-demand resource management virtualization layer; the integrated server includes an application server and a database server, the application server is mainly Tomcat; the database server includes Oracle, MySQL, and Redis;

   Step 2-2: Power system simulation calculation service;

   By adding a load balancing node in front of the computing node, the load balancing node uniformly advertises the Webservice service. After accessing the service, a new task is added to the task queue to be calculated. Each computing node obtains the task by preemptively, and the platform can dynamically Monitor the load of the entire computing node and dynamically scale the computing node resources;

   Step 2-3: Cloud simulation calculation data management construction;

   Based on unified data modeling and distributed data exchange standards, according to the process of receiving, checking, storing and managing power system calculation and analysis related data, including the current grid and planning grid, not only meet the requirements of dispatching operation, but also meet the requirements of planning and design, in addition to Provide calculation and analysis related data, and provide 2 to 3 years of rolling calculation data;

   Step 2-4: Building a parallel computing service;

   The cloud-based simulation resource management system provides a virtual machine cluster, deploys and installs a parallel computing platform, and opens a SOAP interface to provide parallel computing services.
4. The operation management method for a power system cloud simulation platform according to claim 1, wherein in the step 3, the security of the power system cloud simulation platform includes data security, network security, application security, and identity recognition. Certificate management security.
5. The operation management method for a power system cloud simulation platform according to claim 4, wherein an application system is deployed after installing an operating system on a single physical machine, and an IaaS layer is added between the application system and the physical resource layer to ensure data security. Sex

   Ensure network security by setting up VLANs between virtual machines or physical machines to enhance network isolation within the system and setting QoS policies for each virtual machine or physical machine in the cloud simulation platform.

   Set the HA of the physical machine and the virtual machine through the power system cloud simulation platform to ensure application security;

   The authentication of the user name and password ensures the security of identity authentication management.
6. The operation management method of the power system cloud simulation platform according to claim 1, wherein the step 4 comprises the following steps:

   Step 4-1: Administrator operation management, including resource pool management, service management, service directory management, user management, and log audit management;

   Step 4-2: The user uses the power system cloud simulation platform, including application management, service application, asset management, user registration, monitoring management, alarm management, report management, application server services, database services, simulation computing services, and computing data services.
7. The operation management method for a power system cloud simulation platform according to claim 6, wherein in the step 4-1, the router, the simulation calculation, the router node, and the simulation calculation are implemented through resource pool management. Node management;

   Implement platform service management and business service management through service management;

   Middleware service management and integrated service management through service catalog management; middleware services include relational databases, non-relational databases and application servers. Integration services are mainly the integration of existing capabilities within the enterprise;

   User information management, role information management, and organization information management are implemented through user management; user information management including user addition, modification, deletion, and authorization operations is implemented through the user management interface; customization and addition of user roles are implemented through the role management interface. , delete and modify the role information management; through the group user management interface, to achieve organizational information management including the addition, modification and deletion of organizational members;

   Log audit management is used to audit the creation, deletion, and configuration operations of various types of users. The audit content includes operation type, operation content, operation time, and operator.
8. The operation management method of the power system cloud simulation platform according to claim 6, wherein in the step 4-2, the user combines the assets applied by the user to form an external service provided by the application, and implements application management, and the application is created. Need to fill in application information, application usage asset information and application automatic scaling policy information;

   Publish platform services and business services as service catalogs for ordinary users to apply for and implement service requests;

   Manage the MySql assets, Oracle assets and Redis assets through asset management;

   Before logging in, the user registers with the system by filling in the response information. The user cannot log in before registering. After registering and becoming the user setting role, the user can log in to the system.

   Monitor the host view, resource pool view, user view, and application view through monitoring and management.

   Management of alarm IP, alarm level, alarm cause, alarm occurrence time, recovery time, processing status, detailed information, alarm occurrence index name, alarm occurrence index value, alarm occurrence threshold, alarm condition, and alarm cause by alarm management;

   Manage the occupied resource statistics report, online running time report and historical application quantity report through report management;

   Automatically apply for the Nginx server as load balancing when creating an application. By automatically modifying the configuration of the Nginx server and the Tomcat server, the application is created and the application server service is implemented.

   The database service is realized by automatically deploying the database on the power system cloud simulation platform, the database types include Mysql, Oracle and Redis; Mysql and Redis are deployed in the virtual machine resource pool, and Oracle is deployed in the physical machine resource pool;

   The simulation calculation service is realized by automatically deploying simulation calculation on the power system cloud simulation platform, and the simulation calculation service is completed by the simulation calculation routing platform service and the calculation platform service;

   The computing data service is completed in the form of a virtual machine on the power system cloud simulation platform.

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