In this paper, a novel Cauchy-Gaussian quantum-behaved bat algorithm (CGQBA) is applied to solve the economic load dispatch (ELD) problem. The (BA) an acknowledged metaheuristic optimization owing its performance. However, classical BA presents some weaknesses, such as premature convergence. To withstand drawbacks of BA, quantum mechanics theories and Gaussian Cauchy operators are integrated in...

This study contributes for solving the economic load dispatch (ELD) problem to reduce energy waste caused by thermal generation units and promotes cleaner sustainable production in power industry. Electricity is produced plants; however, involves low benefits high pollution levels, which hinders An improved manta ray foraging optimization (IMRFO) algorithm developed ELD realizing goal of units....

In this paper, an improved Differential Evolution (DE) that incorporates double wavelet-based operations is proposed to solve the Economic Load Dispatch (ELD) problem. The double wavelet mutations are applied in order to enhance DE in exploring the solution space more effectively for better solution quality and stability. The first stage of wavelet operation is embedded in the DE mutation opera...

This paper presents cuckoo search algorithm (CSA) for solving non-convex economic load dispatch (ELD) problems of fossil fuel fired generators considering transmission losses and valve point loading effect. CSA is a new meta-heuristic optimisation technique inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. ...

Optimal system operation, in general, involves the consideration of economy of operation, system security, emissions at fossil-fuel plants, optimal release of water at hydro power plants etc. and aim at improving the efficiency of the power system. In this research work, consideration will be given to two aspects of the optimal system operation, emissions and economy of operation, also known as...

Solving the problem of energy dispatch in a heterogeneous complex system is not a trivial task. The problem becomes even more complex considering uncertainties in demands and energy prices. This paper discusses the development of several Economic Model Predictive Control (EMPC) based strategies for solving an energy dispatch problem in a smart micro-grid. The smart grid components are described...

In this paper, a Dynamic Economic Dispatch (DED) model is developed for the system consisting of both thermal generators and wind turbines. The inclusion of a significant amount of wind energy into power systems has resulted in additional constraints on DED to accommodate the intermittent nature of the output. The probability of stochastic wind power based on the Weibull probability density fun...