A5067510652- Smart Grid Energy Management
- Microgrid Control and Optimization
- Energy Load and Power Forecasting
- Optimal Power Flow Distribution
- Advanced Battery Technologies Research
- Integrated Energy Systems Optimization
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Islanding Detection in Power Systems
- Frequency Control in Power Systems
UNSW Sydney
2024
North China Electric Power University
2018
Constructing the power curve of a generation facility integrated with complex and large-scale industrial processes is difficult task but can be accomplished using Industry 4.0 data analytics tools. This research attempts to construct data-driven generator installed at 660 MW plant by incorporating artificial intelligence (AI)-based modeling The produced from modeled an neural network (ANN)—a reliable analytical technique deep learning. Similarly, R2.ai application, which belongs automated...
Focusing on the electricity and thermal energy requirement of contemporary buildings, a joint operation photovoltaic (PV/T)-based prosumers microturbine-based combined heat power system has been presented to analyse economics grid-connected microgrid (MG) system. The bidirectional flow model is considered optimally managed using price-based demand response (DR) scheme. Thermal storage exploited ward off substantial amount wastages that enhance system's reliability during any disruption...
The voltage deviation in an active distribution network (ADN) can effectively be managed by using smart inverters' reactive power control. A cutting-edge multi-agent deep reinforcement learning (MADRL) techniques allow inverters to achieve localized and coordinated control take optimal actions. However, existing researches have significantly overlooked planning before training the agents, leading inefficient use of resources a potential increase losses. Further, pre-determined topology is...
The energy shortage and environmental problem due to the production of from fossil fuel introduce a new way generating energy, but variant nature renewable resources, it is very difficult maintain generation load power system in equilibrium. To keep equilibrium, storage introduced into system. Recently supercapacitor (SC) battery hybrid electrical (HEES) capture great attention. Compared with other technologies major advantages SC are high density, cycling life, peak current handling...
Considering the needs for future smart grids to precisely estimate energy demand of a consumer, fuzzy-logic based method is adopted in this paper that provides comprehensive ground planning and scheduling equipment or load. This estimation covers most important aspect i.e. uncertainty which inherently associated with forecasted data. The Fuzzy logic system helps grid operator data more accurately by defining extent certain value true false, other words known as degree truth. For purpose,...