Dynamic economic dispatch based on improve firefly optimization algorithm

In power systems, dynamic economic dispatch (DED) is one of the most significant non-linear problems showing nonconvex characteristic because of the valve-point effects. This paper firstly introduces the research status in this field. In then, an improve firefly algorithm (IFA) is proposed to solve the DED problem where the valve-point effects, ramp-rate limits and transmission power losses are considered. A mutation mechanism is introduced into the algorithm to improve the global search ability of the algorithm; A mechanism for dynamically adjusting the parameters according to the optimization process is designed, so the fireflies can search the space smartly for global optimum solution. Also, uses a dynamic tolerance mechanism to deal with equation constraints. The efficiency and feasibility of the proposed method is validated on three test systems.