“…An efficient multi objective strategy based differential evolution considering multi FACTS technology is proposed in [11], a biogeography optimization [12] applied for solving multi-constraint optimal power flow with emission and non-smooth cost function, in [13] a multi-objective harmony search adapted and applied for solving the OPF problem, a multi-objective evolutionary algorithms [14] applied to enhance the solution of the combined economic and environment dispatch, authors in [15] proposed a multi objective optimal location of a combined shunt-series FACTS controllers for power system operation planning, in [16], A novel self-adaptive learning charged system search algorithm proposed for solving unit commitment problem, in [17] authors proposed a modified shuffled frog leaping algorithm for multi-objective optimal power flow with FACTS devices, a modified differential evolution approach based on cultural algorithm and diversity measure proposed in [18] to solving the economic dispatch considering valve point effect, in [19] a combined method using chaotic self adaptive differential harmony search algorithm is proposed to solving the OPF problems, in [20] a semidefinite programming is adapted and applied for solving multi-objective economic dispatch, A novel adaptive modified harmony search algorithm proposed in [21] to solve multi-objective environmental/economic dispatch, in [22] the OPF in Micro-grids is solved considering the energy storage. The dynamic economic dispatch considering practical generator constraints is widely studied by researchers and many standard and new hybrid methods proposed and applied with success such as: Improved chaotic particle swarm optimization algorithm [23], adaptive hybrid differential evolution algorithm [24], A hybrid multi-agent based particle swarm optimization algorithm [25], an enhanced cross-entropy method [26], Quantum genetic algorithm [27], artificial immune system [28], an improved PSO [29], Quadratically constrained quadratic program method [30], High-speed real-time [31], A New fast self-adaptive modified firefly algorithm [32], A fuzzyoptimization approach [33], Enhanced adaptive particle swarm optimisation algorithm [34], adaptive modified particle swarm optimization [35], a n...…”