This work presents an approach for AC load flow based centralized model for congestion management in the forward markets. In this model, transaction maximizes its profit under the limits of transmission line capacities allocated by Independent System Operator (ISO). The voltage and reactive power impact of the system are also incorporated in this model. Genetic algorithm is used to solve centralized congestion management problem for multilateral transactions. Results obtained for centralized model using genetic algorithm is compared with Sequential Quadratic Programming (SQP) technique. The statistical performances of various algorithms such as best, worst, mean and standard deviations of social welfare are given. Simulation results clearly...
In the newly emerged electric supply industry, the profit maximizing tendency of market participants...
Congestion management is one of the key functions of system operator in the restructured power indu...
Abstract – The present paper presents a genetic algorithm (GA) to maximize social welfare and perfor...
This work presents an approach for AC load flow based centralized model for congestion management in...
This work presents an approach for AC load flow based centralized model for congestion management in...
Congestion management (CM) in the deregulated power systems is germane and of central importance to ...
Congestion cost allocation is an important issue in congestion management. This paper presents a gen...
Congestion cost allocation is an important issue in congestion management. This paper presents a gen...
Abstract—This paper proposes a decentralized model for dc load flow based congestion management for ...
Congestion management is one of the important functions performed by system operator in deregulated ...
The paper proposed a novel decentralized approach for congestion management via Optimal Resource All...
The paper proposed a novel decentralized approach for congestion management via Optimal Resource All...
The power system is said to be in balanced state if generated power is equal to demand ideally. Here...
A bi-level and mutually consistent (MC) programming techniques have previously been proposed, in whi...
This paper presents a genetic algorithm (GA) to maximize total system social welfare and alleviate c...
In the newly emerged electric supply industry, the profit maximizing tendency of market participants...
Congestion management is one of the key functions of system operator in the restructured power indu...
Abstract – The present paper presents a genetic algorithm (GA) to maximize social welfare and perfor...
This work presents an approach for AC load flow based centralized model for congestion management in...
This work presents an approach for AC load flow based centralized model for congestion management in...
Congestion management (CM) in the deregulated power systems is germane and of central importance to ...
Congestion cost allocation is an important issue in congestion management. This paper presents a gen...
Congestion cost allocation is an important issue in congestion management. This paper presents a gen...
Abstract—This paper proposes a decentralized model for dc load flow based congestion management for ...
Congestion management is one of the important functions performed by system operator in deregulated ...
The paper proposed a novel decentralized approach for congestion management via Optimal Resource All...
The paper proposed a novel decentralized approach for congestion management via Optimal Resource All...
The power system is said to be in balanced state if generated power is equal to demand ideally. Here...
A bi-level and mutually consistent (MC) programming techniques have previously been proposed, in whi...
This paper presents a genetic algorithm (GA) to maximize total system social welfare and alleviate c...
In the newly emerged electric supply industry, the profit maximizing tendency of market participants...
Congestion management is one of the key functions of system operator in the restructured power indu...
Abstract – The present paper presents a genetic algorithm (GA) to maximize social welfare and perfor...