Software and Hardware Decision Support System for Operators of Electrical Power Systems

Nikolay Ruban, Aleksey Suvorov, Mikhail Andreev, Ruslan Ufa, Alisher Askarov, Alexandr Gusev, Bhavesh R. Bhalja

Research output: Contribution to journalArticlepeer-review


The unpredictability of processes in electric power systems (EPS) determine complexity of its control. This problem is especially relevant for EPS with renewable energy sources, FACTS and HVDC systems. Despite automatic control development, many issues related to EPS regimes control are solved by power system operators. Decision support systems (DSS) are applying to increase efficiency of operators work. However, existing algorithms in practice are inoperable in some cases: unrealizable decisions are formed or decision cannot be found at all, etc. Another important problem is impossibility to preliminarily verify the proposed solution. For this, operator can additionally use EPS simulators, which are usually limited either by the size of simulated scheme or by details of equipment models. The limitations are a consequence of numerical methods using, which are badly applicable for large-scale power systems simulation. In this paper, a novel DSS has been developed based on a hybrid approach to EPS simulation combining analog, physical and digital techniques. The analog implicit integration of differential equations makes modeling faster than real time. This allows operator to verify more decisions and select the most effective ones. The algorithm for DSS application has been developed, described and confirmed by experimental studies in the article

Original languageEnglish
JournalIEEE Transactions on Power Systems
Publication statusAccepted/In press - 2021


  • Decision support systems
  • HRTSim
  • hybrid simulation
  • real-time systems

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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