Non-convex constrained economic dispatch with valve point loading effect using a grey wolf optimizer algorithm

2016 ◽  
Author(s):  
Meisam Moradi ◽  
Ali Badri ◽  
Reza Ghandehari
Keyword(s):  
Economic Dispatch ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Loading Effect ◽  
Valve Point Loading Effect

A non-convex economic load dispatch problem with valve loading effect using a hybrid grey wolf optimizer

2019 ◽  
Vol 32 (16) ◽  
pp. 12127-12154 ◽  
Author(s):  
Mohammed Azmi Al-Betar ◽  
Mohammed A. Awadallah ◽  
Monzer M. Krishan
Keyword(s):  
Grey Wolf Optimizer ◽  
Economic Load Dispatch ◽  
Grey Wolf ◽  
Loading Effect ◽  
Valve Loading Effect

Economic dispatch of generators with valve-point loading effect using immune evolutionary programming

2018 ◽  
Author(s):  
S. H. Mohammad ◽  
M. H. Mansor ◽  
I. Musirin ◽  
M. N. Abdullah ◽  
S. A. Shaaya ◽  
...  
Keyword(s):  
Economic Dispatch ◽  
Evolutionary Programming ◽  
Loading Effect ◽  
Valve Point Loading Effect

Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer

2015 ◽  
Vol 785 ◽  
pp. 511-515 ◽  
Author(s):  
Lo Ing Wong ◽  
Mohd Herwan Sulaiman ◽  
Mohd Rusllim Mohamed
Keyword(s):  
Canis Lupus ◽  
Economic Dispatch ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Ramp Rate ◽  
Nonlinear Characteristics ◽  
Simulation Results ◽  
Alpha Beta ◽  
Ramp Rate Limits ◽  
Practical Constraints

This paper presents the application of a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus) for solving economic dispatch (ED) problems. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting: searching for prey, encircling prey and attacking prey are implemented. In this paper, GWO was demonstrated and tested on two well-known test systems with practical constraints. A comparison of simulation results is carried out with those published in the recent literatures. The results show that the GWO algorithm is able to provide very competitive results for nonlinear characteristics of the generators such as ramp rate limits, prohibited zone and non-smooth cost functions compared to the other well-known meta-heuristics techniques.

Economic dispatch using hybrid grey wolf optimizer

Energy ◽  
2016 ◽  
Vol 111 ◽  
pp. 630-641 ◽  
Author(s):  
T. Jayabarathi ◽  
T. Raghunathan ◽  
B.R. Adarsh ◽  
Ponnuthurai Nagaratnam Suganthan
Keyword(s):  
Economic Dispatch ◽  
Grey Wolf Optimizer ◽  
Grey Wolf

scholarly journals Quasi-oppositional Grey Wolf Optimizer Algorithm for Economic Dispatch

2018 ◽  
Vol 11 (41) ◽  
pp. 1-28 ◽  
Author(s):  
Das Diptanu ◽  
Bhattacharya Aniruddha ◽  
Narayan Ray Rup ◽  
◽  
◽  
...  
Keyword(s):  
Economic Dispatch ◽  
Grey Wolf Optimizer ◽  
Grey Wolf
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