A5046204029- Energy Load and Power Forecasting
- Social Acceptance of Renewable Energy
- Environmental Education and Sustainability
- Physical Unclonable Functions (PUFs) and Hardware Security
- Smart Grid Security and Resilience
- Fault Detection and Control Systems
- Energy and Environment Impacts
- Stock Market Forecasting Methods
- Electric Power System Optimization
- Power System Optimization and Stability
- Electrical Fault Detection and Protection
- Smart Grid Energy Management
Imperial College London
2022-2023
Operating an active distribution network (ADN) in the absence of enough measurements, presence distributed energy resources, and poor knowledge responsive demand behaviour is a huge challenge. This paper introduces systematic modelling response which then included Forecasting Aided State Estimation (FASE) for better control network. There are several innovative elements tuning parameters FASE-based, profiling, aggregation. The comprehensive case studies three UK representative scenarios...
The level of penetration and uncertainties that come from distributed energy resources (DERs) advanced controllable loads complicate obtaining the real-time states power systems. Power system operations require an accurate state estimation to ensure efficient monitoring controlling behavior. One promising algorithms can enhance accuracy distribution is Forecasting-Aided State Estimation (FASE). However, robustness FASE needs be evaluated assessed against measurement errors, presence...
Saudi Arabia's Vision 2030 includes various pillars in its programs, one of which is to strengthen and diversify economy. Improving the energy sector Arabia by including renewable resources will expand Saudi's mix, enhancing In this paper, a detailed evaluation social aspect deploying first large-scale photovoltaics (PV) solar project Kingdom discussed. Furthermore, survey contained ten multiple choice questions covering two aspects had been conducted among Saudis measure acceptance Al-Jouf...
Shifting towards renewable energy sources increases the cybersecurity challenges since various field devices are required to be utilized ensure high-performance operation of distributed resources (DER). The utilization these different and algorithms makes DGs more vulnerable. In this study, we provide an assessment on impact DG units' locations in a distribution network during cyber-attack targeting pitch angle 660-kW turbine MPPT 0.5 MW PV system. This attack compromises 20% output DGs....