Smart Solutions for the Future

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TAPCON^® ISM^® – Intelligent control in the digital grid

TAPCON^® ISM^® is designed to meet the require­ments of mod­ern dig­i­tal grids. This volt­age reg­u­la­tor ensures that the trans­former adjusts the grid volt­age by issu­ing tar­get­ed switch­ing com­mands to the tap chang­er. This allows the sys­tem to respond to load changes and feed-ins. Using the IEC 61850 com­mu­ni­ca­tion stan­dard, the reg­u­la­tor com­mu­ni­cates direct­ly via the GOOSE pro­to­col with devices such as cir­cuit break­ers, merg­ing units, mon­i­tor­ing sys­tems, and motor dri­ves.

Sig­nals are thus trans­mit­ted dig­i­tal­ly over the net­work rather than via indi­vid­ual cables – sig­nif­i­cant­ly reduc­ing wiring effort. The inte­grat­ed TDSC func­tion also makes bet­ter use of exist­ing grid capac­i­ties. This enables grid oper­a­tors to sta­bi­lize their grids, inte­grate renew­able ener­gy more effi­cient­ly, and plan expen­sive grid expan­sion mea­sures more effec­tive­ly or, in some cas­es, avoid them alto­geth­er.

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MSENSE^® PDM – Early detection of insulation damage

MSENSE^® PDM is a sen­sor sys­tem for the ear­ly detec­tion of par­tial dis­charges – one of the most impor­tant indi­ca­tors of insu­la­tion prob­lems in trans­form­ers. The sen­sor sys­tem cap­tures the result­ing elec­tri­cal puls­es dur­ing oper­a­tion and pro­vides mea­sure­ment data to high­er-lev­el analy­sis sys­tems.

This allows trends and thresh­old val­ues to be iden­ti­fied, and the con­di­tion of the insu­la­tion sys­tem to be reli­ably assessed. The sen­sor sys­tem can be flex­i­bly adapt­ed to var­i­ous instal­la­tions and require­ments, and is there­fore suit­able for both new instal­la­tions and retro­fits. This enables oper­a­tors to iden­ti­fy risks ear­ly, avoid out­ages, and plan main­te­nance in a tar­get­ed man­ner.

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TESSA^® APM 2.0 – Central intelligence for substations

With the TESSA^® APM 2.0 soft­ware solu­tion, Rein­hausen is evolv­ing tra­di­tion­al trans­former mon­i­tor­ing into a plat­form for the entire sub­sta­tion. In addi­tion to trans­form­ers, the sys­tem also eval­u­ates air-insu­lat­ed (AIS) and gas-insu­lat­ed (GIS) switchgear, cables, over­head lines, and poles. It aggre­gates data from inspec­tions and sen­sors, presents it clear­ly, and con­sol­i­dates it into a Health Index that enables the con­di­tion and risk of indi­vid­ual assets to be com­pared.

Build­ing on this, the inte­grat­ed Asset Intel­li­gence ana­lyzes the data in even greater detail: A Bayesian net­work iden­ti­fies typ­i­cal fault pat­terns, assess­es the prob­a­bil­i­ty of poten­tial faults, and derives spe­cif­ic rec­om­men­da­tions for action. This enables oper­a­tors to make informed deci­sions for con­di­tion-based main­te­nance.

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