Economic emission dispatch of wind power integrated combined heat and power system

Wind power being one of the sustainable form of renewable energy resource will bear significant role in future clean energy generation. Combined heat and power method of power and heat generation in a single process not only yields more than 80% efficiency but also reduces emission of CO2, NOx and SO2. This paper utilizes a new bio-inspired krill herd algorithm to solve economic emission dispatch optimization problem of wind power integrated combined heat and power system. Herding behavior of krill individual is considered to formulate this algorithm. The distance of each individual krill from food and from highest density of the herd is considered as the objective function. At any instant, position of an individual krill is determined by the: i) movement induced by neighboring krill individuals, ii) foraging activity of it and iii) its random diffusion motion. A test system has been considered in this paper to illustrate this algorithm. The result shows that this algorithm is capable of solving such multi-objective optimization problem of hybrid power system with better convergence consuming less computation time.