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{"id":3091,"date":"2020-12-22T05:12:47","date_gmt":"2020-12-22T05:12:47","guid":{"rendered":"https:\/\/www.dsgenterprisesltd.com\/product\/import-placeholder-for-26795\/"},"modified":"2024-05-05T00:38:48","modified_gmt":"2024-05-05T00:38:48","slug":"network-stress-test-nst-siemens-pss-sincal-massive-and-parallelized-analysis-modules","status":"publish","type":"product","link":"https:\/\/dsgenterprisesltd.com\/product\/network-stress-test-nst-siemens-pss-sincal-massive-and-parallelized-analysis-modules\/","title":{"rendered":"Network Stress Test (NST) Siemens PSS SINCAL Massive and Parallelized Analysis Modules"},"content":{"rendered":"

Network Stress Test (NST) Siemens PSS SINCAL Massive and Parallelized Analysis Modules<\/h1>\n

Requirements and Use Cases of Network Stress Test (NST)<\/strong><\/p>\n

The integration of the charge infrastructure for electromobility or decentral energy resources (DER) leads impacts mainly the distribution networks.<\/p>\n

Since these loads or feed-ins vary both in terms of location and time, the planning cannot work with predefined locations and times for the expansion of the charging infrastructure (and comparable elements to be modeled, such as heat pumps) or?decentral energy resources (DER). A stochastic approach is required for a random distribution of the planned consumers or power generation systems in the supply area and the subsequent calculation and network analysis.<\/p>\n