Currently, devices of synchronized vector measurements (Wide-Area Monitoring Systems – WAMS) are becoming more widespread in power systems. With a high accuracy, they measure complex current and voltage values and also frequency in places of their installation. Obtained data allow to create an objective picture of power system state. This paper shows the possibility of using WAMS measurements for parameters estimation of synchronous machines (SM) and their automatic excitation controllers (AEC). At present for a variety of tasks widely used simulation modeling of synchronous machines (SM) in software and hardware-software packages. In this case there are often difficulties in forming accurate models of real SM due to the lack of raw data. In view with the foregoing, the urgent task is to create a tool for clarifying and determining the SM model parameters. This tool can be formed based on various optimization algorithms (including genetic algorithm). For definition of SM parameters sharing WAMS devices and optimization algorithms is perspective and actual research direction. To solve this issue, can be used well- known differential equations system of Park-Gorev. All phases currents and stator voltage, voltage and current of excitation, network frequency are easily detected through WAMS and are known values. The availability of data on SM electric values combined with using differential equations system of Park-Gorev allows to determine of SM parameters with prescribed periodicity. As a result of further development of the proposed technique of determining SM parameters it can be the basis for SM parameters monitoring system according to the data obtained from WAMS in real time. Another relevant application of the developed technique is the solution of the issue of power system equivalenting or its part according to the data obtained from WAMS. Working of synchronous machines is impossible without automatic excitation control. This paper shows the possibility of usi
Currently, devices of synchronized vector measurements (Wide-Area Monitoring Systems – WAMS) are becoming more widespread in power systems. With a high accuracy, they measure complex current and voltage values and also frequency in places of their installation. Obtained data allow to create an objective picture of power system state. This paper shows the possibility of using WAMS measurements for parameters estimation of synchronous machines (SM) and their automatic excitation controllers (AEC). At present for a variety of tasks widely used simulation modeling of synchronous machines (SM) in software and hardware-software packages. In this case there are often difficulties in forming accurate models of real SM due to the lack of raw data. In view with the foregoing, the urgent task is to create a tool for clarifying and determining the SM model parameters. This tool can be formed based on various optimization algorithms (including genetic algorithm). For definition of SM parameters sharing WAMS devices and optimization algorithms is perspective and actual research direction. To solve this issue, can be used well- known differential equations system of Park-Gorev. All phases currents and stator voltage, voltage and current of excitation, network frequency are easily detected through WAMS and are known values. The availability of data on SM electric values combined with using differential equations system of Park-Gorev allows to determine of SM parameters with prescribed periodicity. As a result of further development of the proposed technique of determining SM parameters it can be the basis for SM parameters monitoring system according to the data obtained from WAMS in real time. Another relevant application of the developed technique is the solution of the issue of power system equivalenting or its part according to the data obtained from WAMS. Working of synchronous machines is impossible without automatic excitation control. This paper shows the possibility of usi