AbstractIn this paper, Gravitational Search Algorithm (GSA) is used as optimization method in reactive power planning using FACTS (Flexible AC transmission system) devices. The planning problem is formulated as a single objective optimization problem where the real power loss and bus voltage deviations are minimized under different loading conditions. GSA based optimization algorithm and particle swarm optimization techniques (PSO) are applied on IEEE 30 bus system. Results show that GSA can also be a very effective tool for reactive power planning
This paper represents the GSA that can be used to determine the optimal location and rating of FACTS...
In this paper, Amended Particle Swarm Optimization Algorithm (APSOA) is proposed with the combinatio...
The introduction of flexible AC transmission system (FACTS) in a power system reduces the losses, re...
In this paper, Gravitational Search Algorithm (GSA) is used as optimization method in reactive power...
AbstractIn this paper, Gravitational Search Algorithm (GSA) is used as optimization method in reacti...
AbstractThis paper presents a novel technique for optimizing the FACTS devices, so as to maintain th...
In this article an effective Reactive Power Management (RPM) method by using Flexible AC Transmissio...
499-507In this article an effective Reactive Power Management (RPM) method using a Flexible AC Trans...
This paper proposes a gravitational search algorithm (GSA) to allocate the thyristor-controlled seri...
This paper presents a novel technique for optimizing the FACTS devices, so as to maintain the voltag...
Gravitational Search Algorithm (GSA) is a heuristic method based on Newton’s law of gravitational at...
Voltage instability problem has been known as a significant threat to power system operation since i...
Improvement of power system performance in terms of increased voltage profile and decreased transmis...
In this paper Genetic Algorithm (GA) is used as an evolutionary tecthniques for the optimal placemen...
AbstractGravitational search algorithm (GSA) is based on law of gravity and the interaction between ...
This paper represents the GSA that can be used to determine the optimal location and rating of FACTS...
In this paper, Amended Particle Swarm Optimization Algorithm (APSOA) is proposed with the combinatio...
The introduction of flexible AC transmission system (FACTS) in a power system reduces the losses, re...
In this paper, Gravitational Search Algorithm (GSA) is used as optimization method in reactive power...
AbstractIn this paper, Gravitational Search Algorithm (GSA) is used as optimization method in reacti...
AbstractThis paper presents a novel technique for optimizing the FACTS devices, so as to maintain th...
In this article an effective Reactive Power Management (RPM) method by using Flexible AC Transmissio...
499-507In this article an effective Reactive Power Management (RPM) method using a Flexible AC Trans...
This paper proposes a gravitational search algorithm (GSA) to allocate the thyristor-controlled seri...
This paper presents a novel technique for optimizing the FACTS devices, so as to maintain the voltag...
Gravitational Search Algorithm (GSA) is a heuristic method based on Newton’s law of gravitational at...
Voltage instability problem has been known as a significant threat to power system operation since i...
Improvement of power system performance in terms of increased voltage profile and decreased transmis...
In this paper Genetic Algorithm (GA) is used as an evolutionary tecthniques for the optimal placemen...
AbstractGravitational search algorithm (GSA) is based on law of gravity and the interaction between ...
This paper represents the GSA that can be used to determine the optimal location and rating of FACTS...
In this paper, Amended Particle Swarm Optimization Algorithm (APSOA) is proposed with the combinatio...
The introduction of flexible AC transmission system (FACTS) in a power system reduces the losses, re...