Energy Storage Placement and Sizing (ES) Siemens PSS SINCAL Massive and Parallelized Analysis Modules
Description
Energy Storage Placement and Sizing (ES) Siemens PSS SINCAL Massive and Parallelized Analysis Modules
Energy Storage Placement and Sizing (ES)
Requirements and Use Cases
The increasing number of?decentral energy resources (DER) may require an expansion or reinforcement of the network. Critical voltages or utilizations only arise at individual times or periods of the short and medium term since the supply of these systems may vary considerably over time. An alternative to expanding the network can therefore be the use of energy storage facilities (e.g. batteries, pumped storage power plants) to balance load and generation peaks.
- Prevention or flexible postponement of expansion measures in the network through the targeted local use of (mobile) storage systems
- Design of the rated power and the capacity of a storage system and selection of a suitable connection point (installation location) in the network in the network planning process
- Analysis of different control strategies and types of charge and discharge management of a storage system regarding voltage quality and equipment utilization
- Increase of the capacity for feed-in or load in a network area by using storage systems
- Calculation and design based on historical or predicted time series of load and generation systems
Solution
The module for the energy storage placement (ES) in PSS?SINCAL enables the design and placement of storage systems in the network with a two-stage interactive concept.
- Analysis of the placement of a storage element at selected nodes that represent possible connection points
- Two-stage process for determining an optimum connection point for storage systems, considering voltage and utilization criteria. Based on this, a calculation of the required memory states and capacity for (user-defined) storage models
- Integration of the individual work steps in an efficient, structured workflow with its own setting screen form without additional modeling effort in the network model
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