System modeling and optimization for islanded micro-grid using multi-cross learning-based chaotic differential evolution algorithm
An effective operation model is proposed for islanded micro-grids (MGs). A new optimization algorithm is presented to solve MG optimization problem. A new binary handling procedure is proposed for MG unit commitment problem. The proposed approach is extensively compared with 21 recent optimitation methods. The comparisons confirm the validity of the developed approach.
micro-grid differential evolution stochastic search optimal operation renewable energy chaotic search