Optimal Network Structures (ON) Siemens PSS SINCAL Optimization and Planning Modules

Optimal Network Structures (ON)

The purpose of this optimization in the module Optimal Network Structures (ON) in PSS®SINCAL is the determination of the best possible structure for medium-voltage networks. The optimization is based on a station-and-route model defining possible connections between infeed and loads. The conventional operating forms of loops and feeders serve as the basis for structure optimization.

The optimization of Greenfield developments or existing networks can be carried out. The optimization has the objective to minimize losses while complying with technical limits (max. feeder load, max. voltage drop, etc.). The costs of transforming the network into the proposed structure are determined.

• Three optimization methods: Rotating radial feeder, Best savings, Best neighbor
• The first static optimization loop determines the target network solution.
• In a second loop, the dynamic optimization calculates the optimal network development sequence for the transformation from the initial into the target network at minimum cost.

PSS®SINCAL Optimization and Planning Modules

Optimize the flow and the quality of power in your network and determine the best possible structure including Optimal Branching, Compensation Optimization, Volt/Var Optimization and more.

PSS®SINCAL supports your entire engineering workflow

For over 20 years, PSS®SINCAL has enabled engineers to tackle different challenges of the changing distribution, transmission, and industrial power systems, including maintaining high reliability of supply and efficiently integrating Distributed Energy Resources. With the modular platform of PSS®SINCAL, power system planning and operation engineers are supported with their entire workflow from the initial data import and network modeling (considering past, current and future conditions), to basic and extended calculations, all the way to extensive protection simulations and analysis as well as other methods in time and frequency domains.

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