Indian Journal of Science and Technology

Abstract

In this paper a methodology is developed a to obtain Best Compromised Schedule (BCS) of Dynamic Economic Emission Dispatch (DEED) Problem. The DEED Problem is formulated to minimize both the fuel cost and Emission. The traditional weight method may not offer equal significance to both the Fuel Cost and Emission. The proposed methodology was a normalized objective function with a view of providing equal significance to both the objectives there by obtaining BCS. The solution methodology uses the recently suggested Adaptive Predator Prey Flower Pollination Algorithm (APPFPA) and is tested on various test system. The results on two tests system have clearly illustrated that the proposed method is better then weight method. The performance can be improved by combining the algorithms with out involving pareto-optimal solution set for the DEED problem. 

Keywords: Adaptive Predator Prey Flower Pollination Algorithm, Dynamic Economic Dispatch, Dynamic Emission Dispatch, Normalized Objective Function Values, Proposed Method, Weight Method