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Behzadipour, Elahe
- Supplementary Stabilizer Design Based on STATCOM
Abstract Views :484 |
PDF Views:439
Authors
Affiliations
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, IR
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, IR
Source
Indian Journal of Science and Technology, Vol 4, No 5 (2011), Pagination: 525-529Abstract
This paper presents the application of static synchronous compensator (STATCOM) to enhance damping of Low Frequency Oscillations at a single-machine infinite-bus power system installed with a STATCOM as cast study. STATCOM is considered in order to damping of Low Frequency Oscillations. Therefore, the supplementary stabilizer based STATCOM (like power system stabilizer) is designed to reach defined purpose. Optimization methods such as Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are considered to design STATCOM supplementary stabilizer controller. To show effectiveness and also comparing these two methods, the proposed methods are simulated under different operating conditions. Several linear time-domain simulation tests visibly show the validity of proposed methods in damping of power system oscillations. Also simulation results emphasis on the better performance of PSO in comparison with GA method.Keywords
Static Synchronous Compensator, Particle Swarm Optimization, Genetic Algorithms, Power StabilizerFull Text
References
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- Harmony Search Algorithm for Power System Stabilizer Tuning
Abstract Views :357 |
PDF Views:117
Authors
Sayed Mojtaba Shirvani Boroujeni
1,
Babak Keyvani Boroujeni
1,
Hamideh Delafkar
1,
Elahe Behzadipour
1,
Reza Hemmati
1
Affiliations
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, IR
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, IR
Source
Indian Journal of Science and Technology, Vol 4, No 9 (2011), Pagination: 1025-1030Abstract
The problem of tuning Power system stabilizers (PSSs) is commonly formulated as a nonlinear optimization problem with some constraints. In this paper a new optimization technique based on Harmony Search (HS) to solve the proposed optimization problem is presented. This is a very complex nonlinear programming problem. A constructive heuristic algorithm aimed at obtaining an excellent quality solution for this problem is presented. Results of the tests, carried out with a multi machine electric power system, show the capabilities of the method and also the viability of using the HS to solve the problem.Keywords
Multi Machine Power System, Power System Stabilizer, Low Frequency Oscillations, Harmony Search AlgorithmFull Text
References
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- Harmony Search Algorithm for STATCOM Controllers Tuning in a Multi Machine Environment
Abstract Views :341 |
PDF Views:92
Authors
Sayed Mojtaba Shirvani Boroujeni
1,
Babak Keyvani Boroujeni
1,
Hamideh Delafkar
1,
Elahe Behzadipour
1,
Reza Hemmati
1
Affiliations
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, IR
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, IR
Source
Indian Journal of Science and Technology, Vol 4, No 9 (2011), Pagination: 1031-1035Abstract
This paper presents the application of static synchronous compensator (STATCOM) to voltage support in a multimachine electric power system. Harmony Search (HS) Algorithm as a meta-heuristic optimization method is considered for tuning the parameters of STATCOM. In order to evaluate the performance of STATCOM in voltage support, a multi-machine electric power system installed with STATCOM is considered as case study. The system under study is IEEE 14 bus standard system testing. The results are compared with the system without STATCOM. Several nonlinear time-domain simulation tests visibly show the ability of STATCOM in voltage support.Keywords
Static Synchronous Compensator, Voltage, Multi-machine Power System, Harmony Search, AlgorithmFull Text
References
- Chatterjee D and Ghosh A (2011) Improvement of transient stability of power systems with STATCOMcontroller using trajectory sensitivity. Intl. J. Electrical Power & Energy Systems. 33(3), 531-539.
- Furini MA, Pereira ALS and Araujo PB (2011) Pole placement by coordinated tuning of Power System Stabilizers and FACTS-POD stabilizers. Intl. J. Electrical Power & Energy Systems. 33(3), 615-622.
- Hemmati R, Shirvani Boroujeni SM, Behzadipour E and Delafkar H (2011) Supplementary stabilizer design based on STATCOM. Indian J. Sci.Technol. 4(5), 525-529.
- Hingorani NG and Gyugyi L (2000) Understanding FACTS. IEEE Press.
- Hong-qi L, Tai-hoon K and Shao- long X (2008) An improved PSO-based of harmony search for complicated optimization problems. Intl. J. Hybrid Info.Technol. (1), 57-64.
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- Shirvani Boroujeni SM, Keyvani Boroujeni B, Delafkar H and Safarnezhad Boroujeni A (2011) Harmony Search algorithm for power system stabilizer tuning. Indian J. Sci. Technol. 4 (9),1025-1030.
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- Harmony Search Algorithm for SVC Controller Tuning in Voltage Support Mode
Abstract Views :320 |
PDF Views:101
Authors
Sayed Mojtaba Shirvani Boroujeni
1,
Babak Keyvani Boroujeni
1,
Hamideh Delafkar
1,
Elahe Behzadipour
1,
Reza Hemmati
1
Affiliations
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, IR
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, IR
Source
Indian Journal of Science and Technology, Vol 4, No 9 (2011), Pagination: 1155-1159Abstract
Static Var Compensator (SVC) in one of the most widely used FACTS devices in industry and real world power systems. The problem of finding optimal values of SVC parameters has been studied for years. Many different methods have been carried out to design SVC controllers. But trying to find better controller is still remains. In this scope, Harmony Search (HS) Algorithms method as a meta-heuristic optimization method is considered for tuning the parameters of SVC. A multi machine electric power system is used to test viability of SVC in voltage support under disturbances. Simulation results on a multi machine power system show the ability of SVC in control of voltage as well as stability enhancement. The results are carried out by numerical simulations by using MATLAB software.Keywords
Static Var Compensator, Voltage Support, Multi-machine Power System, Harmony Search AlgorithmsFull Text
References
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- Shirvani Boroujeni SM, Keyvani Boroujeni B, Delafkar H and Safarnezhad Boroujeni A (2011) Harmony Search algorithm for power system stabilizer tuning. Indian J. Sci. Technol. 4 (9), 1025-1030.
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- Low Frequency Oscillation at a Multi Machine Environment by Using UPFC Tuned Based on Simulated Annealing
Abstract Views :473 |
PDF Views:111
Authors
Affiliations
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran
Source
Indian Journal of Science and Technology, Vol 4, No 12 (2011), Pagination: 1630-1634Abstract
Unified Power Flow Controller (UPFC) is one of the most viable and important Flexible AC Transmission Systems (FACTS) devises. Application of UPFC in single machine and multi machine electric power systems has been investigated with different purposes such as power transfer capability, damping of Low Frequency Oscillations (LFO), voltage support and so forth. But, an important issue in UPFC applications is to find optimal parameters of UPFC controllers. This paper presents the application of Unified Power Flow Controller (UPFC) to enhance dynamic stability of a multi-machine electric power system. A supplementary stabilizer based on UPFC (like power system stabilizer) is designed to reach the defined purpose. An intelligence optimization method based on Simulated Annealing (SA) is considered for tuning the parameters of UPFC supplementary stabilizer. Several nonlinear time-domain simulation tests visibly show the ability of UPFC in damping of power system oscillations and consequently stability enhancementKeywords
Unified Power Flow Controller, Low Frequency Oscillations, Multi Machine Electric Power System, Simulated AnnealingFull Text
References
- Al-Awami A (2007) A particle-swarm based approach of power system stability enhancement with UPFC. Electrical Power and Energy Sys. 29, 251-259.
- Eldamaty AA, Faried SO and Aboreshaid S (2005) Damping power system oscillation using a Fuzzy logic based unified power flow controller. IEEE CCGEI 2005 1, 1950-1953.
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- Reza Hemmati, Sayed Mojtaba Shirvani Boroujeni, Hamideh Delafkar and Amin Safarnezhad Boroujeni (2011) Stabilizer design based on UPFC using simulated annealing. Indian J.Sci.Technol. 4 (7), 815-819. Domain site: http://www.indjst.org.
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- Controller Parameters Design of Doubly Feed Induction Generator Using Particle Swarm Optimization
Abstract Views :369 |
PDF Views:111
Authors
Affiliations
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran
1 Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran
Source
Indian Journal of Science and Technology, Vol 4, No 12 (2011), Pagination: 1635-1638Abstract
The integration of wind farms into the electricity grid has become an important challenge for the utilization and control of electric power systems, because of the fluctuating and intermittent behavior of wind power generation. Doubly fed induction generators (DFIG) are commonly used wind turbine generators (WTG) in electricity networks. In DFIG there are three control loops which should be implemented in order to appropriate performance of WTG. These control loops are pitch angle control, rotor speed control and voltage control. In this paper a unified scheme is used to adjust these controllers in the same time. Particle Swarm Optimization (PSO) is used to adjustment the proposed controllers. The results of wind power on the system performance are compared with a conventional thermal power plant.Keywords
Wind Turbine Generators, Doubly Fed Induction Generators, Pitch Angle Control, Multi Machine Electric Power System, Particle Swarm OptimizationFull Text
References
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