A/Prof. Ashish Agalgaonkar

Dr. A/Prof. Ashish Agalgaonkar

School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
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Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 December 2011 in IEEE Transactions on Sustainable Energy
Verified
Journal Article
Closed access
KZKai Zou
Kai Zou
AAA/Prof. Ashish Agalgaonkar
A/Prof. Ashish Agalgaonkar
KMKashem M. Muttaqi
Kashem M. Muttaqi
SPSarath Perera
Sarath Perera
Distributed generation (DG) systems are considered an integral part in future distribution system planning. The active and reactive power injections from DG units, typically installed close to the load centers, are seen as a cost-effective solution for distribution system voltage support, energy saving, and reliability improvement. This paper proposes a novel distribution system expansion planning strategy encompassing renewable DG systems with schedulable and intermittent power generation patterns. The reactive capability limits of different renewable DG systems covering wind, solar photovoltaic, and biomass-based generation units are included in the planning model and the system uncertainties such as load demand, wind speed, and solar radiation are also accounted using probabilistic models. The problem of distribution system planning with renewable DG is formulated as constrained mixed integer nonlinear programming, wherein the total cost will be minimized with optimal allocation of various renewable DG systems. A solution algorithm integrating TRIBE particle swarm optimization (TRIBE PSO) and ordinal optimization (OO) is developed to effectively obtain optimal and near-optimal solutions for system planners. TRIBE PSO, OO, and the proposed algorithm are applied to a practical test system and results are compared and presented.


30 September 2013 in IEEE Transactions on Sustainable Energy
Verified
Journal Article
Closed access
DRD. Ranamuka
D. Ranamuka
AAA/Prof. Ashish Agalgaonkar
A/Prof. Ashish Agalgaonkar
KMK. M. Muttaqi
K. M. Muttaqi
Voltage regulation in distribution systems is typically performed with the aid of multiple voltage regulating devices, such as on-load tap changer and step voltage regulators. These devices are conventionally tuned and locally coordinated using Volt/VAR optimization strategies in accordance with the time-graded operation. However, in case of distribution systems with distributed generation (DG), there could be a possibility of simultaneous responses of DG and multiple voltage regulators for correcting the target bus voltage, thereby resulting in operational conflicts. This paper proposes an online voltage control strategy for a realistic distribution system containing a synchronous machine-based renewable DG unit and other voltage regulating devices. The proposed strategy minimizes the operational conflicts by prioritizing the operations of different regulating devices while maximizing the voltage regulation support by the DG. It is tested on an interconnected medium voltage distribution system, present in New South Wales, Australia, through time-domain simulation studies. The results have demonstrated that voltage control for a distribution feeder can effectively be achieved on a real-time basis through the application of the proposed control strategy.

30 September 2014 in IEEE Transactions on Sustainable Energy
Verified
Journal Article
Closed access
AAAbu Abdullah
Abu Abdullah
KMK. M. Muttaqi
K. M. Muttaqi
DSDanny Sutanto
Danny Sutanto
AAA/Prof. Ashish Agalgaonkar
A/Prof. Ashish Agalgaonkar
The uncertainty in the availability of wind generation and the lack of coincidence between wind generation and system peak demand make wind farms (WFs) to be nondispatchable energy resources and impose limits on the potential penetration of wind generation in the generation mix. Battery energy storage systems (BESSs) integrated with WFs can reduce the variability of wind generation output allowing them to be dispatched for the network support, especially under peak load conditions. This paper proposes an effective power dispatch control strategy of WFs with the aid of BESSs to improve the supply reliability taking into account the uncertainties in wind generation output and load demand. A stochastic programming model is formulated considering uncertainty in wind generation and energy price to schedule WF dispatch. A novel rank-based BESS dispatch control algorithm is developed to achieve the assured WF power output levels for dispatch. Also, the application of the power dispatch control strategy is presented with the simulation study. Simulation results suggest that the implementation of the proposed strategy will improve supply reliability and revenue stream of the WFs.

1 October 2012 in Applied Energy
Verified
Journal Article
Closed access
TAT. Ahmed
T. Ahmed
KMK.M. Muttaqi
K.M. Muttaqi
AAA/Prof. Ashish Agalgaonkar
A/Prof. Ashish Agalgaonkar

1 May 2016 in Renewable and Sustainable Energy Reviews
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Journal Article
Closed access
JKJoel Kennedy
Joel Kennedy
PCPhilip Ciufo
Philip Ciufo
AAA/Prof. Ashish Agalgaonkar
A/Prof. Ashish Agalgaonkar