Optimal Allocation of FACTS Devices by using multi-Objective Optimal Power Flow and Genetic Algorithms
نویسندگان
چکیده
منابع مشابه
Optimal Allocation of FACTS Devices by using multi-Objective Optimal Power Flow and Genetic Algorithms
The introduction of the flexible AC transmission system (FACTS) in the power system reduces the losses, reduces the cost of the generation, improves the stability and also improves the load capability of the system. Some application of the Flexible AC transmission system (FACTS) technologies to existing high voltage power system has proves the use of FACTS technology may be a cost effective opt...
متن کاملFACTS Devices Allocation Using a Novel Dedicated Improved PSO for Optimal Operation of Power System
Flexible AC Transmission Systems (FACTS) controllers with its ability to directly control the power flow can offer great opportunities in modern power system, allowing better and safer operation of transmission network. In this paper, in order to find type, size and location of FACTS devices in a power system a Dedicated Improved Particle Swarm Optimization (DIPSO) algorithm is developed for de...
متن کاملOptimal Power Flow with Facts Devices using Genetic Algorithm
The introduction of flexible AC transmission system (FACTS) in a power system reduces the losses, reduces the cost of generation, and improves the stability also improves the load capability of the system. In this paper, a non-traditional optimization technique, genetic algorithm is used to optimize the various process parameters involved of FACTS devices in a power system The various parameter...
متن کاملfacts devices allocation using a novel dedicated improved pso for optimal operation of power system
flexible ac transmission systems (facts) controllers with its ability to directly control the power flow can offer great opportunities in modern power system, allowing better and safer operation of transmission network. in this paper, in order to find type, size and location of facts devices in a power system a dedicated improved particle swarm optimization (dipso) algorithm is developed for de...
متن کاملTitle : Multi - objective optimal placement with multi - type FACTS devices
In this paper, a hybrid Tabu Search and Simulated Annealing (TS/SA) approach is proposed to find the optimal placement of multi-type FACTS devices to simultaneously minimise the total generator fuel cost and violation function. The problem is decomposed into the Multi-Objective Optimal Placement (MOOP) of multi-type FACTS devices subproblem that is searched by the hybrid TS/SA approach and the ...
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ژورنال
عنوان ژورنال: International Journal of Electronics Signals and Systems
سال: 2012
ISSN: 2231-5969
DOI: 10.47893/ijess.2012.1041