Indonesian Student Association in Thailand (PERMITHA)
Abstract
This paper presents dynamic economic dispatch considering emission constraint using multi-objective flower pollination algorithm (MOFPA) method. Minimizing the operating cost in economic dispatch is no longer permitted to be the only criterion for dispatching the electric power due to environmental and health consideration. Besides, dynamic constraints such as output power ramp rates have to be considered to avoid excessive fatigue in plant structure, which leads to the necessity of solving this problem using improved economic dispatch called dynamic economic emission dispatch (DEED). In this paper, fuel cost and NOx emission functions are considered as a single-objective optimization problem and both of them can be formulated by using multi-objective optimization. This multi-objective optimization function will be solved using Flower Pollination Algorithm (FPA). This algorithm is a new nature-inspired algorithm, based on the characteristics of flowering plants. Based on the literature survey, the cost function is taken as a quadratic function and solved for economic and emission dispatch problem. The IEEE 30-bus system with 6- generation units is presented as a plant to illustrate the application of the proposed problem.
