Dr. Zhiwei Shen entwickelt derzeit digitale Zwillinge für Stromnetze — virtuelle Abbilder von Energiesystemen, die in Echtzeit mit ihren physischen Pendants synchronisiert werden. Sein Fokus liegt auf der Sicherung dieser Datenströme durch Anomalieerkennung, der Anpassung der digitalen Modelle an sich ändernde Netztopologien und der Validierung von KI-Algorithmen für Stabilitätsbewertungen mittels virtueller Testumgebungen. Parallel arbeitet er an Methoden zur automatischen Generierung von Extremwetter-Szenarien für die Sicherheitsprüfung autonomer Fahrzeuge sowie an industriellen Defekterkennung mit Machine Learning. Für Energieversorger, Netzbetreiber und Automobilhersteller bietet dies Werkzeuge zur Echtzeitüberwachung, zuverlässigen Systemprognosen und robusteren Testverfahren ohne Risiken im Live-Betrieb.
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Dr. Zhiwei Shen
HU-FIS-Profil ↗Förderer: DFG Eigene Stelle (Sachbeihilfe) Zeitraum: 08/2017 - 10/2018 Projektleitung: Dr. Zhiwei Shen
Energies · DOI
Australia is one of the leading countries in energy transition, and its largest power system is intended to securely operate with up to 75% of variable renewable generation by 2025. High-inertia synchronous condensers, battery energy storage systems, and grid-forming converters are some of the technologies supporting this transformation while facilitating the secure operation of the grid. Synchronous condensers have enabled 2500 MW of solar and wind generation in the state of South Australia, reaching minimum operational demands of ≈100 MW. Grid-scale battery energy storage systems have demonstrated not only market benefits by cutting costs to consumers but also essential grid services during contingencies. Fast frequency response, synthetic inertia, and high fault currents are some of the grid-supporting capabilities provided by new developments that strengthen the grid while facilitating the integration of new renewable energy hubs. This manuscript provides a comprehensive overview, based on the Australian experience, of how power systems are overcoming expected challenges while continuing to integrate secure, low cost, and clean energy.
Applied Energy · DOI
Agricultural Finance Review · DOI
Purpose – The purpose of this paper is to review some challenges of insuring weather risk in agriculture and to discuss potential remedies for these problems. Design/methodology/approach – The paper is developed as a narrative on weather insurance based largely on existing literature. Findings – Weather risks show characteristics that often violate classical requirements for insurability. First, some weather risks, particularly slowly emerging weather perils like drought, are spatially correlated and cause systemic risks. Second, climatic change may increase the volatility of weather variables and lead to non-stationary loss distributions, which causes difficulties in actuarial ratemaking. Third, limited availability of yield and weather data hinders the estimation of reliable loss distributions. Practical implications – Some of the approaches discussed in this review, such as time diversification, local test procedures and the augmentation of observational data by expert knowledge, can be useful for crop insurance companies to improve their risk management and product design. Originality/value – This study provides background and development information regarding weather insurance and also presents statistical tools and actuarial methods that support the assessment of weather risks as well as the design of weather and yield insurance products.