Prof. Janake Ekanayake
University of Peradeniya
+2
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Academic Career Length
32Years (1995-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications22 November 2004 in IEEE Transactions on Energy Conversion
Journal Article
Janake EkanayakeNJN. Jenkins
N. Jenkins
Synchronous and fixed-speed induction generators release the kinetic energy of their rotating mass when the power system frequency is reduced. In the case of doubly fed induction generator (DFIG)-based wind turbines, their control system operates to apply a restraining torque to the rotor according to a predetermined curve with respect to the rotor speed. This control system is not based on the power system frequency and there is negligible contribution to the inertia of the power system. A DFIG control system was modified to introduce inertia response to the DFIG wind turbine. Simulations were used to show that with the proposed control system, the DFIG wind turbine can supply considerably greater kinetic energy than a fixed-speed wind turbine.
13 May 2003 in IEEE Transactions on Power Systems
Journal Article
Janake EkanayakeLHL. Holdsworth
L. Holdsworth
XWXueGuang Wu
XueGuang Wu
NJN. Jenkins
N. Jenkins
It is now recognized that many large wind farms will employ doubly fed induction generator (DFIG) variable speed wind turbines. A number of such wind farms are already in operation and more are planned or under construction. With the rising penetration of wind power into electricity networks, increasingly comprehensive studies are required to identify the interaction between the wind farm(s) and the power system. These require accurate models of doubly fed induction generator wind turbines and their associated control and protection circuits. A dynamic model has been derived, which can be used to simulate the DFIG wind turbine using a single-cage and double-cage representation of the generator rotor, as well as a representation of its control and protection circuits. The model is suitable for use in transient stability programs that can be used to investigate large power systems. The behavior of a wind farm and the network under various system disturbances was studied using this dynamic model. The influence of the DFIG control on the stability of the wind farm was also investigated by considering different control gains and by applying network voltage control through both stator side and rotor side converters.
12 March 2007 in IET Renewable Power Generation
Journal Article
An assessment on the capability of a doubly fed induction generator (DFIG) wind turbine for frequency regulation is presented. Detailed aerodynamic, structural and electrical dynamic models were used in this study. A control loop acting on the frequency deviation was added to the inertia contributing loop in order to enhance the inertia support from the DFIG wind turbine. The possibility of de-loading a wind turbine to provide primary and secondary frequency response was discussed. A frequency droop controller was examined where the droop is operating on the electronic torque set point below its maximum speed and is operating on the pitch demand at maximum speed. It is also shown that by reducing the generator torque set point the DFIG wind turbine can provide high frequency response.
1 February 2019 in Journal of Energy Storage
Journal Article
LWLing Ai Wong
Ling Ai Wong
VRVigna K. Ramachandaramurthy
Vigna K. Ramachandaramurthy
PTPhil Taylor
Phil Taylor
Janake EkanayakeSWSara L. Walker
Sara L. Walker
Sanjeevikumar Padmanaban28 December 2012 in IEEE Transactions on Smart Grid
Journal Article
YMYunfei Mu
Yunfei Mu
JWJianzhong Wu
Jianzhong WuJanake EkanayakeNJNick Jenkins
Nick Jenkins
HJHongjie Jia
Hongjie Jia
With the increasing use of renewable energy in the Great Britain (GB) power system, the role of electric vehicles (EVs) contributes to primary frequency response was investigated. A tool was developed to estimate the EV charging load based on statistical analysis of EV type, battery capacity, maximum travel range and battery state of charge. A simplified GB power system model was used to investigate the contribution of EVs to primary frequency response. Two control modes were considered: disconnection of charging load (case I) and discharge of stored battery energy (case II). For case II, the characteristic of the EV charger was also considered. A case study shows results for the year 2020. Three EV charging strategies: “dumb” charging, “off-peak” charging, and “smart” charging, were compared. Simulation results show that utilizing EVs to stabilize the grid frequency in the GB system can significantly reduce frequency deviations. However the requirement to schedule frequency response from conventional generators is dynamic throughout the day.
1 January 2003 in IEE Proceedings - Generation, Transmission and Distribution
Journal Article
The dynamic modelling of large (MW) capacity fixed and variable speed induction generator wind turbines is discussed. A reduced order dynamic machine model is derived suitable for modelling both fixed speed and doubly-fed asynchronous generator wind turbines. Control schemes for variable speed turbines, using doubly-fed induction generators (DFIG), are described and simulated. Speed control characteristics and converter protection of the DFIG are implemented in the model. The operation of the models during power system disturbances such as network voltage sags and three-phase faults, as well as the possibility of network voltage instability, are investigated. Simulation results are presented using typical turbine and network data for wind farm installations.
About Me
Janaka Ekanayake was born in Matale, Sri Lanka, on October 9, 1964. He received the B.Sc degree in electrical engineering from the University of Peradeniya, Sri Lanka and PhD from UMIST, UK. Currently, he is the Chair Professor of Electrical and Electronic Engineering of the University of Peradeniya. He is also a visiting professor at Cardiff University, UK and an Honorary Professor of the University of Wollongong, Australia. He is a Fellow of IEEE (USA), IET (UK), and IESL, Sri Lanka.
His main research interests include renewable energy generation and its integration and smart grid applications. Prof Ekanayake was recognised as the most outstanding Senior Researcher in the field of Engineering in the University system in Sri Lanka in 2018. He also obtained NSF Research Awards for Scientific Excellence in 2018, and Presidential Awards for Research in 2002, 2003, 2007, 2015, 2016 and 2017.
His current research projects include “Artificial Intelligence framework for threat assessment and containment for COVID-19 and future epidemics while mitigating the socioeconomic impact to women, children, and underprivileged groups” funded by IDRC, Canda and “Designing, fabrication and testing a Smart Distribution Transformer for Voltage Regulation and Frequency Support” funded by the World Bank through Sri Lankan Government.