Weight Feedback Adaptive Multi Objective Cooperative Scheduling in Smart Grid Application
D. Chandra Sekhar1, P.V. V Rama Rao2, V. Ganesh3
1D. Chandra Sekhar, PhD Research Scholar, JNTUA, Ananthapuramu, A.P, India.
2P.V. V Rama Rao, Professor, Department of EEE, Sri Vasavi Engineering College, Pedatadepalli, Tadepalligudem, A.P, India.
3V. Ganesh, Professor, JNTUA College of Engineering, Pulivendula, A.P, India.
Manuscript received on 04 March 2019 | Revised Manuscript received on 09 March 2019 | Manuscript published on 30 July 2019 | PP: 607-611 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1634078219/19©BEIESP | DOI: 10.35940/ijrte.B1634.078219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Smart grid integration needs a highly accurate power scheduling to minimizes the losses and efficiently utilize the power supply to minimize the loss. Scheduling of a smart grid interface is monitored based on single or multiple objectives scheduler, where the smart grids are scheduled based on the measured parameters of power dispatch and the consumption model. Wherein, multi objective scheduling results in prominent result, the system is a linear monitoring model, where no previous observations are considered in making present decision. This constraint the accuracy of scheduling. In this paper, a new feedback scheduling operation based on feedback operation is proposed. the approach significantly feedbacks the past parameter variation and leads to an optimal power supply in smart grid interface. The experimental results obtained signifies a optimal improvement in the decision delay and power compensation.
Index Terms: Feedback Control, Weight Feedback Optimization, Smart Grid Interface, Multi Objective Scheduling.
Scope of the Article: Discrete Optimization