[0002] The power dispatchers and planners of the power system often need to perform uninterrupted power simulation calculations on the operation and maintenance of the power grid. The traditional method is that a single user performs power data simulation calculations and data maintenance work on a power system on a single machine, but With the formation of cross-regional interconnected power grids and the continuous expansion of power grid scale, the simulation calculation of the stand-alone version has been difficult to meet the work needs. Therefore, the corresponding distributed platforms for power simulation calculation have been developed one after another. When applied in a distributed system, it is necessary to install a large number of applications and data on the user. If it is a distributed cluster version, it needs to be installed and debugged, and then the database is installed, the data is entered, and finally the calculation program is used to obtain the calculation results. And if the user is on a business trip or In the application site, it will be inconvenient to use due to the configuration problems of the network and the host
[0003] In addition, with the development of technology and changes in actual conditions, the calculation program needs to be improved and upgraded, which requires real-time updating of the program version and data of the simulation calculation system, which increases the difficulty of using the simulation calculation system, and the software is used. When a problem occurs, neither the developer nor the user can deal with the problem immediately, and due to the difference between the development environment and the use environment, many problems cannot be restored immediately, resulting in economic and time losses
Moreover, whether it is a stand-alone version of the simulation computing software or a distributed version, there is a problem of software copyright security, because no matter what kind of encryption method, if it is installed on a personal host or a cluster, it may be cracked and generate knowledge. Disputes over property rights
[0004] In addition, if the stand-alone version or distributed power simulation system is used, since the users are using it locally or in a certain cluster, the developer cannot understand the usage habits of all users and the frequency of software usage, and cannot analyze the usage habits and frequency of the software. User behavior, unable to carry out systematic data mining and user behavior analysis, which increases the difficulty of communication between developers and users and the difficulty of software improvement
Moreover, with the popularization of tablet computers and smart phones and the requirements for flexible development, the power simulation computing platform may be required to run on smart terminals or thin clients in the future, but the current power collaborative computing system is difficult to transplant into these smart terminals , or requires a certain amount of work to be able to transplant
[0005] In the process of use, users cannot add their desired power computing applications by themselves, and cannot flexibly adapt to the various needs of the current power computing. They can only add the applications they need by installing software, which gives end users Significant restrictions on the use of electrical computing power
[0006] Finally, the billing method of the stand-alone version or the distributed power simulation computing system is inflexible and inaccurate, and cannot reflect the usage of the simulation computing system users, resulting in an increase in user costs and an inability to optimally allocate resources
[0007] To sum up, neither the stand-alone collaborative computing software nor the distributed power collaborative computing system can solve the above problems. Therefore, it is necessary to research and design a multi-functional, cross-platform, distributed power system The display and use platform of collaborative computing applications to solve the above-mentioned problems