Cyber-physical security of predictive algorithms in group controllers of distributed generation plants
Yuri N. Bulatov, Andrey V. Kryukov, Konstantin V. Suslov
Bratsk State University, Irkutsk State Transport University, Irkutsk National Research Technical University
Widespread use of distributed generation (DG) plants in electric power systems requires solving the complex problem of setting their regulators. The article proposes to use predictive control algorithms that can significantly simplify its solution. On the basis of a linear predictive link, various structures and models of predictive voltage and frequency controllers are considered, both for individual plant units and for group regulation.
The implementation of prognostic algorithms in the controllers of DG plants is possible on the basis of microprocessor systems. In this regard, it is required to study the impact of an unauthorized change as a result of a cyber-attack of the time constant of the predictive link on the operation of control systems for synchronous generators. The purpose of the presented study was to determine the operation of linear predictive algorithms in group voltage and frequency controllers with a change in the forecast time. The simulation was carried out in the MATLAB system, the results of which showed that with a sudden change in the forecast time, the group voltage and frequency controllers of the generators of a small hydroelectric power plant deteriorate in terms of control quality with a possible loss of stability. It is shown that to prevent such situations, it is necessary to use a hardware limitation of the prediction time, which ensures the inadmissibility of working with negative values of the time constants of the predictive links. In addition, limiting the forecast time constants to the value n, which determines the number of generators in the group, gives the best results in terms of the quality of control in the transient process.
distributed generation plants, predictive control algorithms, group voltage and frequency controllers, cyber-physical security, modeling