This paper presents grey wolf optimization (GWO) to solve convex economic load dispatch (ELD) problem. Grey\ud Wolf Optimization (GWO) is a new meta-heuristic inspired by grey wolves. The leadership hierarchy and hunting\ud mechanism of the grey wolves is mimicked in GWO. The objective of ELD problem is to minimize the total\ud generation cost while fulfilling the different constraints, when the required load of power system is being\ud supplied. The proposed technique is implemented on two different test systems for solving the ELD with various\ud load demands. To show the effectiveness of GWO to solve ELD problem results were compared with other\ud existing techniques
Economic load dispatch (ELD) in power system problems involves scheduling the power generating units...
Introduction. One of predominant problems in energy systems is the economic operation of electric en...
The role of distributed generation (DG) for empowering the performance of the distribution system is...
This article proposes an efficient meta-heuristic approach, namely, oppositional grey wolf optimizat...
This paper proposes a new hybrid algorithm for grey wolf optimization (GWO) integrated with a robust...
Economic load dispatch (ELD) provides significant benefits to the operation of the power system. It ...
This paper presents GWO flow diagram and algorithm for finding best values which update the generato...
Grey Wolf Optimizer (GWO) is a newly proposed algorithm that developed based on inspiration of grey ...
This paper presents the application of a new meta-heuristic called Grey Wolf Optimizer (GWO) which i...
This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolv...
This paper presents the use of a new meta-heuristic technique namely gray wolf optimizer (GWO) which...
AbstractThis article presents a newly developed, novel and efficient optimization technique called q...
This paper projects Improved Grey Wolf Optimization (IGWO) algorithm for solving optimal reactive po...
Abstract Grey wolf optimization (GWO) algorithm is a new emerging algorithm that is based on the soc...
Transmission congestion issues became more severe and difficult to control as the power sector becam...
Economic load dispatch (ELD) in power system problems involves scheduling the power generating units...
Introduction. One of predominant problems in energy systems is the economic operation of electric en...
The role of distributed generation (DG) for empowering the performance of the distribution system is...
This article proposes an efficient meta-heuristic approach, namely, oppositional grey wolf optimizat...
This paper proposes a new hybrid algorithm for grey wolf optimization (GWO) integrated with a robust...
Economic load dispatch (ELD) provides significant benefits to the operation of the power system. It ...
This paper presents GWO flow diagram and algorithm for finding best values which update the generato...
Grey Wolf Optimizer (GWO) is a newly proposed algorithm that developed based on inspiration of grey ...
This paper presents the application of a new meta-heuristic called Grey Wolf Optimizer (GWO) which i...
This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolv...
This paper presents the use of a new meta-heuristic technique namely gray wolf optimizer (GWO) which...
AbstractThis article presents a newly developed, novel and efficient optimization technique called q...
This paper projects Improved Grey Wolf Optimization (IGWO) algorithm for solving optimal reactive po...
Abstract Grey wolf optimization (GWO) algorithm is a new emerging algorithm that is based on the soc...
Transmission congestion issues became more severe and difficult to control as the power sector becam...
Economic load dispatch (ELD) in power system problems involves scheduling the power generating units...
Introduction. One of predominant problems in energy systems is the economic operation of electric en...
The role of distributed generation (DG) for empowering the performance of the distribution system is...