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Gowri Manohar, T.
- A Novel Grey Wolf Optimization Algorithm for Optimal DG Units Capacity and Location in Microgrids
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Authors
Affiliations
1 Research Scholar(JNTUK), Department of EEE, S V University College of Engineering, S V University, Tirupati-517502, IN
2 Professor, EEE Department, AITS, Tirupati-517502, IN
3 Professor, S V University College of Engineering, S V University, Tirupati-517502, IN
4 Senior Research Fellow, Energy Efficiency & Renewable Engineering Division, Central Power Research Institute, Bangalore-560080, IN
1 Research Scholar(JNTUK), Department of EEE, S V University College of Engineering, S V University, Tirupati-517502, IN
2 Professor, EEE Department, AITS, Tirupati-517502, IN
3 Professor, S V University College of Engineering, S V University, Tirupati-517502, IN
4 Senior Research Fellow, Energy Efficiency & Renewable Engineering Division, Central Power Research Institute, Bangalore-560080, IN
Source
Power Research, Vol 12, No 2 (2016), Pagination: 219-226Abstract
Distributed Generator (DG) resources are small electric generating plants that can provide power to homes, businesses or industrial facilities in distribution feeders. By optimal placement of DG we can reduce power loss and improve the voltage profile. However, the values of DGs are largely dependent on their types, sizes and locations as they were installed in distribution feeders. The main contribution of the paper is to find the optimal locations of DG units and sizes. Index vector method is used for optimal DG locations. In this paper new optimization algorithm i.e. Grey wolf optimization algorithm is proposed to determine the optimal DG size. This paper uses three different types of DG units for compensation. The proposed methods have been tested on 15-bus, 34-bus, and 69-bus radial distribution systems. MATLABTM, Version 8.3 software is used for simulation.Keywords
Grey Wolf Optimization Algorithm, Index Vector Method, Distributed Generation Placement, Radial Distribution System
- Stability Analysis of Multi Machine System Using Facts and Renewable Energy Source
Abstract Views :189 |
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Authors
Affiliations
1 Assistant Professor (S.L), Dept. of EEE, Yogananda Institute of Technology & Science ,Tirupati. Andhra Pradesh - 517 501, IN
2 AssociateProfessor , Dept. of EEE,S.V.University college of Engineering,Tirupati. Andhra Pradesh - 517501, IN
1 Assistant Professor (S.L), Dept. of EEE, Yogananda Institute of Technology & Science ,Tirupati. Andhra Pradesh - 517 501, IN
2 AssociateProfessor , Dept. of EEE,S.V.University college of Engineering,Tirupati. Andhra Pradesh - 517501, IN
Source
Power Research, Vol 11, No 1 (2015), Pagination: 59-70Abstract
In this paper, to achieve damping improvement of an offshore wind farm (OWF) fed to a multi-machine system using a static synchronous compensator (STATCOM) is presented. The operating performance of the studied OWF is simulated by an equivalent aggregated doubly-fed induction generator (DFIG) driven by an equivalent aggregated wind turbine (WT) through an equivalent gearbox. A fuzzy logic controller (FLC) plus adaptive neuro-fuzzy inference system (ANFIS) are designed to achieve adequate damping characteristics to the dominant modes of the test system under various operating conditions. A frequency-domain approach based on a linearized system model using ischolar_main-loci technique and a time-domain scheme based on a nonlinear system model subject to a three-phase short-circuit fault at the connected bus are systematically performed to examine the effectiveness of the proposed control schemes. It can be concluded from the simulated results that the proposed STATCOM integrated with the FLC plus ANFIS is shown to be superior for improving the stability of the system considered.- Power loss reduction and voltage stability enhancement by optimal location of UPFC
Abstract Views :187 |
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Authors
Affiliations
1 Assistant Professor, Department of EEE, Sri Kalahasteeswara Institute of Technology, Srikalahasti - 517640, IN
2 Associate Professor, Department of EEE, S.V. University College of Engineering, Tirupathi - 517502, IN
1 Assistant Professor, Department of EEE, Sri Kalahasteeswara Institute of Technology, Srikalahasti - 517640, IN
2 Associate Professor, Department of EEE, S.V. University College of Engineering, Tirupathi - 517502, IN