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A proactive operation of DC grids allows to anticipate upcoming states such as high-load EV or excess PV generation in advance and to prepare the system for a reliable and economic long-term operation. However, substantial forecasting uncertainties commonly limit the accuracy of such predictive approaches and deteriorate the overall performance of conventional energy management systems. ADC Pilot Factory presents an innovative energy management pipeline that natively incorporates uncertainties of stochastic phenomena and allows to choose the best setpoints that consider a broad range of future scenarios simultaneously.
Precise forecasts of PV generation and uncontrollable loads are vital for an economic long-term operation of DC-grids. The ADC Pilot Factory techniques not only provide precise stochastic forecasts that quantify the probabilities of future states but also return a robust indication when not enough data is available for reliable predictions. Having both quantifiable uncertainties and an indication on situations without reliable quantification raises the trustworthiness of the AI-based predictions in critical situations and enables targeted intervention, when needed.
Cutting-edge stochastic optimisation techniques enable the energy management pipeline to find the best operating points of controllable assets such as power converters, batteries and charging stations. Due to the intelligent combination of AI-based forecasts and classical mathematical models, ADC Pilot Factory achieves high control on the operation targets and vital system constraints. In contrast to conventional optimisation, innovative precomputation techniques enable a rapid adoption to varying conditions within seconds. Therefore, changes such as newly plugged vehicles or decreases in PV generation can be quickly anticipated without the need of a full optimisation cycle.
Being able to realistically quantify and tune the performance of industrial DC grids beforehand is vital for a cost-effective and seamless operation. ADC Pilot Factory perfects several simulation techniques to assess upcoming implementations on various levels. Ranging from detailed assessment of the EMS operation to in-depth analysis of the dynamic grid performance, detailed insights are gained that foster a rapid transition to novel DC setups.
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