Dynamic economic dispatch to meet the energy demand using improved artificial bee colony considering practical constrains

One of the most important issues in power systems is providing the optimal demand for electrical energy’s customers with minimal costs. This goal with non-convex formulation in real-time will be difficult to solve. In this paper, the optimal appropriation of power plants during 24 hours of a day is formulated as an optimization problem which solved by a new modified optimization algorithm. The objective is finding the optimal schedule of the online power plants over a especial time horizon while satisfy the generation unit and ramp-rate constraints. The proposed optimization algorithm work based on the guidance of best solution in the each iteration to enhance searching progress in local and global domains. In addition, by using the chaos theory the local search is enhanced. Also, effect of wind turbine with considering wind speed is investigated in the DED problem solution. The effectiveness of the proposed algorithm is demonstrated on 10-unit, 30-unit, 54-unit and 5-unit with wind power system for a period of 24 hours. The simulation results obtained by the proposed MABC algorithm are compared with the available results for other methods in the literature. In terms of solution quality, the proposed algorithm is found to be better compared to other algorithms.