Stochastic Algorithm for Optimal Placement of STATCOM in a DG Interconnection System
Ramakanta Jena1, Sarat Chandra Swain2, Ritesh Dash3
1Ramakanta Jena, Research Scholar, School of Electrical Engineering, KIIT University, India.
2Dr. Sarat Chandra Swain, Professor, School of Electrical Engineering, KIIT University, India.
3Dr. Ritesh Dash*, Asso. Professor, Christian College of Engineering & Technology, Bhilai, India.
Manuscript received on November 17, 2019. | Revised Manuscript received on 27 November, 2019. | Manuscript published on December 10, 2019. | PP: 3822-3826 | Volume-9 Issue-2, December 2019. | Retrieval Number: A6419129219/2019©BEIESP | DOI: 10.35940/ijitee.A6419.129219
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: The advanced static synchronous compensator or Ad-STATCOM is a reactive voltage control device which when connected to the bus provides reactive power support by maintaining proper voltage level at each bus terminal. A new control scheme for optimizing the STATCOM based on Stochastic Machine Learning Algorithm is presented in this paper. The design of STATCOM controller for controlling reactive power does not depend on the Power System Parameters. All the design parameters were updated in this paper through a constant stochastic regression optimization. The design parameters only depend on the local values which are collected from history sheet or previous such case. A MATLAB Simulink model was designed and the model shows effectiveness on maintaining voltage level and thereby avoiding the voltage collapse.
Keywords: Learning Algorithm, STATCOM, Wind Grid Connected System, Reactive Power, Power Frequency Oscillation
Scope of the Article: Algorithm Engineering