The use of modern techniques of information technology to process and analyze large amount of data has been increasingly necessary to monitor the rapidly evolving complexity of electricity generation problems. PSR’s computing environments are support tools to our models that uses modern techniques of Big Data and cloud computing to improve the organization and efficiency in carrying out simulations and energy studies.

ePSR – Corporate management system for energy planning applications


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ePSR is a corporative computational environment designed to facilitate the development of collaborative energy studies. Founded on a comprehensive common data base, the ePSR architecture integrates PSR energy applications and is ready to interface with third party products.

ePSR is a workbench that includes both information and models needed for energy planning activities within the relational data base. The resources are available to the users through a graphical user interface which works under a security and authorization control mechanism. This control mechanism enables the configuration of the features which will be available for the user, depending on his/her profile. Developed using the most advanced information technologies, ePSR offers many corporate wide features that enhance the organization and productivity of the studies. These can be as diverse as the scheduling for the next hour or an energy planning study with a horizon of 20 years.

General Framework Architecture

ePSR is built under an architecture comprising of a graphical user interface, business rules, data access rules, database access functions, database management system, stored data, energy applications models, and data format converters.


Information Resources

Information in ePSR’s database is organized into five major categories.

  • Power System Components - describe the generation and transmission system components. Some variables are constant while others can be expressed in a time-varying basis. The components are versioned, which means that even after being updated, their previous state may be recovered at any time from the database. This is useful for auditing, and retroactive simulations and studies.
  • Configurations - represent different organizations of the power system. Configurations are defined by clustering power system components into interrelated sets.
  • Time series - represent historical data and forecast scenarios.
  • Constraints - operational rules which constrain the dispatch.
  • Study Management - management of studies stored in the database. A study is created by selecting information from available configurations, historical data and forecasts scenarios from the database. Additional application-specific parameters are required to run the desired model. When creating a study, planners benefit from all information available in ePSR database, even when defined by other users.

Energy Models

ePSR is integrated with a set of PSR's Energy models:

  • Mid/long term planning (SDDP)
  • Short term scheduling (NCP)
  • Generation expansion planning (OptGen)
  • Transmission expansion planning (Netplan)
  • Risk and Economic assessment (Optvalue)

ePSR can also be integrated with SCADA systems.

Geographic representation

The Power System components in ePSR can be associated to a geographic location, expressed in terms of latitude and longitud decimal degrees.

Geo-referenced Components can be viewed on a map along with a backgroud map (base map). Currently, there are three different base maps available for selection:

  • Open Street Map
  • Bing map
  • Google Satellite Image

Setting the geograhic coordinates of a hydro power plant

Technical Reference

  • Operational system: Windows
  • Graphical user interface: .Net Desktop
  • Database: Oracle RDBMS
  • Web Server: Microsoft IIS
  • Data Interchange Format: Web Services and XML