What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Voltage
- Control theory
Nadarajah Mithulananthan spends much of his time researching Distributed generation, Control theory, Electric power system, Power factor and Mathematical optimization.
His research in Distributed generation intersects with topics in AC power and Reduction.
The concepts of his Control theory study are interwoven with issues in Transmission, Electronic engineering and Voltage stability.
His Electric power system research is multidisciplinary, relying on both Bifurcation, Control engineering, System testing, Oscillation and Electricity generation.
His Power factor study incorporates themes from Reliability engineering, Photovoltaic system and Dispatchable generation.
The various areas that Nadarajah Mithulananthan examines in his Mathematical optimization study include Electricity, Electrical engineering and Electricity market.
His most cited work include:
- AN ANALYTICAL APPROACH FOR DG ALLOCATION IN PRIMARY DISTRIBUTION NETWORK (801 citations)
- Multiple Distributed Generator Placement in Primary Distribution Networks for Loss Reduction (486 citations)
- Analytical Expressions for DG Allocation in Primary Distribution Networks (480 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Electric power system, Distributed generation, Photovoltaic system and Electronic engineering.
His Control theory study integrates concerns from other disciplines, such as Control engineering, AC power, Voltage and Oscillation.
The study incorporates disciplines such as Automotive engineering and Signal, Electrical engineering in addition to Electric power system.
His research integrates issues of Power factor, Mathematical optimization, Reliability engineering and Reduction in his study of Distributed generation.
His Photovoltaic system research incorporates elements of Electricity generation, Grid-connected photovoltaic power system and Renewable energy.
Nadarajah Mithulananthan has researched Electronic engineering in several fields, including Voltage optimisation and Voltage regulation.
He most often published in these fields:
- Control theory (47.81%)
- Electric power system (36.86%)
- Distributed generation (21.90%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (47.81%)
- Electric power system (36.86%)
- Photovoltaic system (20.07%)
In recent papers he was focusing on the following fields of study:
Nadarajah Mithulananthan mainly investigates Control theory, Electric power system, Photovoltaic system, Renewable energy and AC power.
His work in Control theory addresses subjects such as Microgrid, which are connected to disciplines such as DC-BUS.
His work deals with themes such as Automotive engineering, Inverter and Energy storage, which intersect with Electric power system.
He combines subjects such as Transmission system operator, Electricity and Voltage stability with his study of Renewable energy.
His study in AC power is interdisciplinary in nature, drawing from both Distributed generation and Electric power.
His Distributed generation research incorporates themes from Power factor, Mathematical optimization and Reduction.
Between 2016 and 2021, his most popular works were:
- Multiple community energy storage planning in distribution networks using a cost-benefit analysis (76 citations)
- Optimal Allocation of Distributed Generation Using Hybrid Grey Wolf Optimizer (72 citations)
- Modal interaction of power systems with high penetration of renewable energy and BES systems (34 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Voltage
- Control theory
His scientific interests lie mostly in Photovoltaic system, Control theory, Renewable energy, Distributed generation and Electric power system.
His Photovoltaic system research is multidisciplinary, incorporating elements of Automotive engineering, Inverter, Voltage and Energy storage.
His Time domain and Control theory study in the realm of Control theory interacts with subjects such as Modal.
His Renewable energy study combines topics from a wide range of disciplines, such as Environmental economics and Electricity.
In his articles, he combines various disciplines, including Electric power system and Damping ratio.
His studies in AC power integrate themes in fields like Optimal allocation, Reduction, Metaheuristic and Brute-force search.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
