Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Conference Paper
Publisher : 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy),
Source : 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), IEEE, Kollam, India (2017)
Url : https://ieeexplore.ieee.org/document/8397243
Campus : Amritapuri
School : School of Engineering
Center : Electronics Communication and Instrumentation Forum (ECIF)
Department : Electrical and Electronics
Year : 2017
Abstract : This paper proposes a distributed architecture for solving the optimal power flow (OPF) problem i n power systems operation. Specifically, a centralized solution approach (to solve single optimization problem) presented in the literature is posed as solving different local optimization problems. The Bernstein global optimization approach is used to solve these local optimization problems in a co-ordinated and distributed fashion. The proposed approach is implemented on a typical 3-bus power system, wherein the cost of CO 2 emissions is also considered. The overall results obtained are satisfactory.
Cite this Research Publication : B. V. Patir, Sampath, L. P. M. I., Bharath K. R., Krishnan, A., and Eddy, Y. S. F., “Bernstein global optimization approach for distributed optimal power flow problem incorporating emission costs”, in 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), Kollam, India, 2017.