A5080710190- Power System Reliability and Maintenance
- Electric Power System Optimization
- Currency Recognition and Detection
- Optimal Power Flow Distribution
- Machine Fault Diagnosis Techniques
- Microgrid Control and Optimization
- Energy Load and Power Forecasting
- Metaheuristic Optimization Algorithms Research
- Power Transformer Diagnostics and Insulation
- High voltage insulation and dielectric phenomena
Newcastle University Singapore
2023
National University of Singapore
2002-2010
Dissolved gas analysis (DGA) of transformer oil is an important tool to identify incipient faults in transformer. The challenge with the existing research on DGA that only a single sample used for which might lead inaccurate results. In this article, comprehensive three-stage fuzzy logic approach proposed emulate best practices industry health using current as well historical data from previous samples. first stage, developed sampling precheck better laboratory acceptance rate helps save...
This paper aims at providing a solution to Optimum Power Flow (OPF) in practical power systems by using flexible genetic algorithm (GA) model. The proposed approach finds the optimal setting of OPF control variables which include generator active output, bus voltages, transformer tap-setting and shunt devices with objective function minimising fuel cost. GA is modelled be for implementation any given system line, data, cost parameter forecasted load demand. model has been analysed tested on...
This paper proposes a hybrid evolutionary algorithm to solve the maintenance-scheduling problem for thermal generating units. The proposed approach uses Fuzzy-Genetic Algorithm that implements Fuzzy Knowledge Based System emulate power plant personnel's experience, and uncertainties in constraints, while Genetic optimizes total cost maintenance as objective functions. Two other effective practical methods based on Evolution Strategy Particle Swarm Optimization were also applied same problem....