Dr Aparna Viswanath
School of Elect Engineering and Computer Science
Dr Aparna Viswanath has a PhD in Electrical Engineering from the Nanyang Technological University (NTU), Singapore. She was the recipient of postgraduate research scholarship from NTU. Her research interests include power system planning and operation, reliability evaluation of power systems and power Markets. She has reviewed articles for publications in international journals and has published many articles in International Journals and Conferences.
- Electrical Engineering
Fields of Research
|090699||Electrical and Electronic Engineering not elsewhere classified||100|
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (6 outputs)
|2015||Viswanath A, 'Overview of Risk Management in Electricity Markets Using Financial Derivatives', International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 9 116-120 (2015) [C1]|
|2015||Gunnaasankaraan H, Viswanath A, 'Spot Clearing in Energy Markets Considering Exercise of Interruptible Load Options by Retailers', Discovery, 44 87-94 (2015) [C1]|
Gunnaasankaraan H, Viswanath A, Mahata K, Goel L, 'Transmission planning by minimizing curtailment of market transactions', ELECTRIC POWER SYSTEMS RESEARCH, 101 1-8 (2013) [C1]
|Show 3 more journal articles|
Conference (10 outputs)
Gunnaasankaraan H, Viswanath A, Mahata K, 'Transmission Expansion for Profit Maximization of Generators in a Decentralised Market Structure', 2016 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC) (2016)
Gunnaasankaraan H, Dilwali K, Viswanath A, Mahata K, 'Strategic bidding and transmission rights purchase for generator's payoff maximisation', Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 (2016) [E1]
Â© 2015 IEEE.As the electricity market transits into deregulation, customers and generators are given the liberty of deciding on the bid functions they submit and the amount of tr... [more]
Â© 2015 IEEE.As the electricity market transits into deregulation, customers and generators are given the liberty of deciding on the bid functions they submit and the amount of transmission rights they purchase in the market. These determine the payoffs they achieve from the market. In this paper, we evaluate how generators maximize their payoffs achieved from the market by making strategic decisions about the bid functions they submit and the transmission rights they purchase in the network. Strategical interdependency between decisions for when there are 2 or more generators in the market is also considered and modelled using matrix game. A Nash equilibrium reflecting the strategies the generators should pick is then identified using the max-min theorem. The application of the max-min theorem on the matrix game is modelled as a mixed integer linear programming problem. The proposed matrix game is applied and analyzed on 2 bus and 3 bus systems.
Gunnaasankaraan H, Viswanath A, Mahata K, 'Application of bi-level programming for profit maximization by transmission investors', Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 (2016) [E1]
Â© 2015 IEEE.This paper presents the application of bi-level programming to determine the profit maximization for transmission investor in deregulated power markets. We consider a... [more]
Â© 2015 IEEE.This paper presents the application of bi-level programming to determine the profit maximization for transmission investor in deregulated power markets. We consider a deregulated market comprising merchant transmission investors responsible for transmission expansion and a central market operator responsible for market clearing. The problem is solved using two levels of optimization: Upper level problem, where the objective of the transmission merchant investor is to maximize profits and a Lower level problem, where the objective of the market operator is to maximize the social welfare of the generators and the customers. Transmission investment decisions made in the upper level adjust the transmission constraints in the lower level. The optimal solutions obtained in the lower level are used by transmission investors to calculate the transmission congestion price and profit. The bi-level model is applied on test systems and the results are consistent with the analytical method available in literature.
Dilwali K, Gunnaasankaraan H, Viswanath A, Mahata K, 'Transmission expansion planning using benders decomposition and local branching', 2016 IEEE Power and Energy Conference at Illinois, PECI 2016 (2016)
Â© 2016 IEEE.This paper studies the application of an accelerated Benders decomposition algorithm using local branching on a transmission expansion planning (TEP) problem. TEP ana... [more]
Â© 2016 IEEE.This paper studies the application of an accelerated Benders decomposition algorithm using local branching on a transmission expansion planning (TEP) problem. TEP analyses the trade-off between investment cost of adding network capacity and load curtailment cost of existing network capacity. The problem is formulated as a mixed (0-1) programming problem which is tedious to solve through conventional Benders decomposition. Local branching is used to accelerate this algorithm by dividing the feasible region of the problem into some smaller sub-regions and then using a generic solver to find the best solution in each of these sub-regions. By strengthening lower and upper bounds at earlier stages of the decomposition algorithm, local branching helps reduce number of Benders iterations to solve the TEP problem. The efficacy of this technique is demonstrated by comparing with classical Benders decomposition when applied to a 46-bus power transmission network.
|2012||Viswanath A, Goel L, Peng W, 'Mixed integer programming formulation techniques and applications to unit commitment problem', IPEC2012 The 10th International Power & Energy Conference (2012) [E1]|
Kosman J, Viswanath A, Coates C, 'Lagrange relaxation based unit commitment for thermal, solar and wind power generation', PESA 2011: IASTED International Conference on Power and Energy Systems and Applications (2011) [E1]
|2009||Viswanath PA, Goel L, Wang P, 'Application of Fuzzy Clustering Technique to Reduce the Load Data in Reliability Evaluation of Restructured Power Systems', 2009 SECOND INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY (ICETET 2009) (2009)|
Viswanath A, Goel L, Wang P, 'Application of fuzzy clustering technique to reduce the load data in reliability evaluation of restructured power systems', Second International Conference on Emerging Trends in Engineering & Technology (2009) [E1]
|2009||Viswanath A, Goel L, Wang P, 'Fuzzy loads with demand side contingency management for reliability assessment of restructured power systems', Proceedings of the Ninth IASTED European Conference: Power and Energy Systems (EuroPES 2009) (2009) [E1]|
Choon CC, Coates C, Viswanath A, 'Renewable energy source emulator', Sustainability in Energy and Buildings: Proceedings of the International Conference in Sustainability in Energy and Buildings (SEB'09) (2009) [E1]
|Show 7 more conferences|
Grants and Funding
|Number of grants||1|
Click on a grant title below to expand the full details for that specific grant.
20081 grants / $7,500
Funding body: University of Newcastle
|Funding body||University of Newcastle|
|Project Team||Doctor Aparna Viswanath|
|Scheme||New Staff Grant|
|Type Of Funding||Internal|
Number of supervisions
Total current UON EFTSL
|Commenced||Level of Study||Research Title / Program / Supervisor Type|
Transmission Planning in Deregulated Power Markets
PhD (Electrical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle