Saravanan B

Department of Electrical Engineering

School of Electrical Engineering

Vellore Campus

Das S

Sikri S

Kothari D.P.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Frontiers in Energy

2019 Innovations in Power and Advanced Computing Technologies (i-PACT)

Solution to Unit Commitment Using Lagrange Relaxation with Whale Optimization Method

Journal of Energy Storage

Optimal size allocation of superconducting magnetic energy storage system based unit commitment

A solution to stochastic unit commitment problem for a wind-thermal system coordination

2014 International Conference on Advances in Electrical Engineering (ICAEE)

Emission constrained unit commitment problem solution using invasive weed optimization Algorithm

In the present electricity market, where renewable energy power plants have been included in the power systems there is a lot of unpredictability in the demand and generation. There are many conventional and evolutionary programming techniques used for solving unit commitment problem. The use of augmented Lagrangian technique by convergence of decomposition method was proposed in 1994, and in 2007 chance constrained optimization was used for providing a solution to the stochastic unit commitment problem. Dynamic Programming is a conventional algorithm used to solve deterministic problem. In this paper DP is used to solve the stochastic model. The stochastic modeling for generation side has been formulated using an approximate state decision approach. The programs were developed in MATLAB environment and were extensively tested for 4 unit 8 hour system. The results obtained from these techniques were validated with the available literature and outcome was satisfactory. The commitment is in such a way that the total cost is minimal. © 2013 IEEE.

Proceedings of 2013 International Conference on Power, Energy and Control, ICPEC 2013

Unit commitment using DP - An exhaustive working of both classical and stochastic approach

IEEE Transactions on Power Systems

Two-Level Hierarchical Approach to Unit Commitment Using Expert System and Elite PSO

Comparison of Scenario-Based and Interval Optimization Approaches to Stochastic SCUC

IEEE Systems Journal

Resource Scheduling Under Uncertainty in a Smart Grid With Renewables and Plug-in Vehicles

A Solution to the Unit Commitment Problem Using Imperialistic Competition Algorithm

A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output

A solution to the unit commitment problem—a review

Journal	Data powered by TypesetFrontiers in Energy
Publisher	Data powered by TypesetSpringer Science and Business Media LLC
ISSN	2095-1701
Open Access	0