Identification and Optimization (OPT) Siemens Advanced Dynamic and Transients Modules powered by PSS NETOMAC

Identification and Optimization (OPT)

Requirements and Use Cases

The analysis of electrical networks requires not only the development of models but also their parameterization. In the complex data collection phase, the user sometimes has access to the information provided by the system manufacturers (nameplate and data sheets). Furthermore, measured values are provided or determined by local measurements, from which the parameters for different types of models must be derived.

• Determination of the equivalent circuit diagram sizes of asynchronous and synchronous machines
• Identification of equipment model parameters based on measured values
• Determination of dynamic equivalent networks
• Reduction of the models of dynamic loads
• Determination of set values of controller parameters in open and closed control loops

 

When dimensioning components and control devices, their rating and parameterization should also be optimized regarding specified objectives. This requires efficient algorithms for the formulation of optimization targets, secondary conditions and the variables to be changed.

• Optimization of any parameter of the network model or control devices regarding a target function
• Definition of secondary conditions, which are considered in the optimization besides the target function
• Consideration of the optimization functions in different calculations of the time and frequency domain

Solution

The optimization algorithms (OPT) of the PSS®NETOMAC dynamics engine are used within the native user interface (ExpMode) both to identify parameters from measured values and to determine optimal settings and dimensioning values in various calculation types based on target functions.

• Identification of the equivalent circuit diagram values of asynchronous machines from basic data and provided torque-speed characteristics as well as the output of the machine definition
• Parameterization of network models and their dynamic equipment as well as control devices from measured values in the time and frequency domain
• Optimization of parameters of network elements, dynamic equipment and models with regard to a target function and secondary conditions in the calculations load flow (PF module), stability (ST module), electromagnetic transients (EMT module), active and passive frequency response (FRD module) and in the eigenvalue calculation EVA module)