TY - EJOU
AU - Venkatakrishnan, G. R.
AU - Rengaraj, R.
AU - Salivahanan, S.
TI - Grey Wolf Optimizer to Real Power Dispatch with Non-Linear Constraints
T2 - Computer Modeling in Engineering \& Sciences
PY - 2018
VL - 115
IS - 1
SN - 1526-1506
AB - A new and efficient Grey Wolf Optimization (GWO) algorithm is implemented to solve real power economic dispatch (RPED) problems in this paper. The nonlinear RPED problem is one the most important and fundamental optimization problem which reduces the total cost in generating real power without violating the constraints. Conventional methods can solve the ELD problem with good solution quality with assumptions assigned to fuel cost curves without which these methods lead to suboptimal or infeasible solutions. The behavior of grey wolves which is mimicked in the GWO algorithm are leadership hierarchy and hunting mechanism. The leadership hierarchy is simulated using four types of grey wolves. In addition, searching, encircling and attacking of prey are the social behaviors implemented in the hunting mechanism. The GWO algorithm has been applied to solve convex RPED problems considering the all possible constraints. The results obtained from GWO algorithm are compared with other state-of-the-art algorithms available in the recent literatures. It is found that the GWO algorithm is able to provide better solution quality in terms of cost, convergence and robustness for the considered ELD problems.
KW - Grey wolf optimization (GWO)
KW - constraints
KW - power generation dispatch
KW - evolutionary computation
KW - computational complexity
KW - algorithms
DO - 10.3970/cmes.2018.115.025