This paper proposes an optimization technique for distributed generation (DG) sizing in power system. The DG placement was done through Loss Sensitive (LS) technique to determine the suitable locations. The LS index is calculated such that the change in power losses is divided with generation increment and a rank of buses is obtained to identify the suitable locations for DG placement. Subsequently, a meta-heuristic algorithm, known as Firefly Algorithm (FA) was run to obtain the optimal size or capacity of the DG. The installation takes into consideration the aspect of voltage stability in terms of total real power losses and voltage profiles to be improved in the distribution system. Based on the experiment, the real power losses and volt...
The main objective of the power system planner is to provide dependable and cost effective power sup...
The integration of distributed generation (DG) into the distribution system brings conspicuous techn...
This paper presents a hybrid algorithm by applying a hybrid firefly and particle swarm optimization ...
In this paper, a novel optimization algorithm is presented for optimal location and sizing of Distri...
This paper presents a modified firefly algorithm for optimal placement and sizing of voltage control...
This paper presents an application of Firefly Algorithm (FA) in determining the optimal location and...
Transmission loss, voltage regulation and voltage drop are three main issues in distribution system....
This paper presents Whale Optimization Algorithm (WOA) Based Technique for Distributed Generation In...
Distributed Generation (DG) placement on the basis of minimization of losses and maximization of sys...
This paper proposes a new algorithm for Distributed Generator (DG) placement and sizing for distribu...
Distributed generation (DG) can be beneficially allocated in distribution power systems to improve t...
Distributed Generators is being implemented in the distribution network to improve the performance o...
Distributed Generators is being implemented in the distribution network to improve the performance o...
Now-a-days, Determination of optimal location and size of Distributed Generation units is one of the...
Distributed Generation (DG) systems are considered an integral part in future distribution system pl...
The main objective of the power system planner is to provide dependable and cost effective power sup...
The integration of distributed generation (DG) into the distribution system brings conspicuous techn...
This paper presents a hybrid algorithm by applying a hybrid firefly and particle swarm optimization ...
In this paper, a novel optimization algorithm is presented for optimal location and sizing of Distri...
This paper presents a modified firefly algorithm for optimal placement and sizing of voltage control...
This paper presents an application of Firefly Algorithm (FA) in determining the optimal location and...
Transmission loss, voltage regulation and voltage drop are three main issues in distribution system....
This paper presents Whale Optimization Algorithm (WOA) Based Technique for Distributed Generation In...
Distributed Generation (DG) placement on the basis of minimization of losses and maximization of sys...
This paper proposes a new algorithm for Distributed Generator (DG) placement and sizing for distribu...
Distributed generation (DG) can be beneficially allocated in distribution power systems to improve t...
Distributed Generators is being implemented in the distribution network to improve the performance o...
Distributed Generators is being implemented in the distribution network to improve the performance o...
Now-a-days, Determination of optimal location and size of Distributed Generation units is one of the...
Distributed Generation (DG) systems are considered an integral part in future distribution system pl...
The main objective of the power system planner is to provide dependable and cost effective power sup...
The integration of distributed generation (DG) into the distribution system brings conspicuous techn...
This paper presents a hybrid algorithm by applying a hybrid firefly and particle swarm optimization ...