Al-Suod M. The modelling of the stochastic processes in the autonomous power system with gas-driven engine and its impact on the consumers work

The object - an autonomous electric power system with gas drive motors up to 2000 kW; the goal - the development of stochastic process models oscillation frequency and voltage as interference in the network of autonomous power systems with gas drive motor, the study of their impact on quality indicators of voltage controlled rectifiers and as the development of hardware and software designed to reduce the impact on rectified voltage; methods - theory of Markov processes, stochastic processes, the method functions of a complex variable; novelty - the mathematical model of autonomous power systems, which allows to describe its behavior in the dynamics of established mathematical Depending on which to assess and predict spikes / dips voltage as emissions of random processes, reasonably and developed a stochastic model of controlled rectifiers, introduced - the learning process NUS Nikolaev in the production process JSC NP "ERA" EPC "Delmor"; the area of use - ship electric power system (EPS), standalone EPS, CHP towns and districts.