METHODOLOGY OF DETERMINING FORECASTING CONTROLLERS OF DISTRIBUTED GENERATION PLANTS

Abstract

On the basis of the use of algorithms for forecasting, it becomes possible to set automatic control system with a single parameter - the time of the forecast. Therefore, the predictive algorithms built on the basis of the model laws of regulation may prove to be very promising for real systems of technological process control, especially in the need to accelerate the commissioning of objects, such as distributed generation (DG) plants, working on the basis of synchronous generators with automatic excitation and speed controls (AEC and ASC). The paper presents a methodology of determining the parameters predictive links AEC and ASC and the results of research on the computer model railway power supply systems (RPSS) including in its membership following the DG plants: turbogenerator mini thermoelectric plant, hydro small power plant, wind power plant on the basis of the machine DC and solar power. The results of computer simulation show that the use of predictive units ensures the stability of the generator DG plants at large perturbations in the system without the time consuming procedure of identification of dynamic characteristics and calculation of Проблемы энергетики, 2016, № 11-12 optimal AEC and ASC settings. The proposed method of determining the prognostic regulator parameters can be recommended, if necessary, the operational commissioning of DG plants in railway power supply system.

Keywords

• railway power supply systems
• distributed generation plants
• forecasting excitation and rotor speed controls
• modeling