Situation Awareness for Smart Distribution Systems

• Autore: Ge Leijiao
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (214 p.)
• Soggetto topico: History of engineering and technology; Technology: general issues
• Soggetto non controllato: attention mechanism; attentional mechanism; capacity configuration; carbon emission; climate factors; CNN; community integrated energy system; comprehensive framework; conditional value-at-risk; convolutional neural network; correlation analysis; critical technology; DC series arc fault; denoising auto-encoder; distributionally robust optimization (DRO); electric heating; electric vehicle; energy management; high-quality operation and maintenance; inertia security region; integrated energy system (IES); joint chance constraints; lightweight convolutional neural network; linear decision rules (LDRs); load disaggregation; load forecasting; LSTM neural network; machine learning; multi-objective optimization; n/a; photovoltaic (PV) system; power spectrum estimation; power-to-hydrogen; receding horizon optimization; REDD dataset; secondary equipment; short text classification; short-term load forecasting; situation awareness; smart distribution network; storage; sustainable wind-PV-hydrogen-storage microgrid; temporal convolutional network; thermal comfort; TraceBase dataset; user dominated demand side response; Wasserstein distance; wind-photovoltaic-thermal power system
• Persona (resp. second.): YanJun; SunYonghui; WangZhongguan; GeLeijiao
• Sommario/riassunto: In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas.
• Titolo autorizzato: Situation Awareness for Smart Distribution Systems
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910580204303321
• Lo trovi qui: Univ. Federico II