Hybrid Fuzzy-Opposition Based Differential Evolution Algorithm (FODEA) For Dynamic Economic Emission Power Dispatch (EEPD) With Emission Constraints and Valve Point Effects

Optimal load dispatch is the short-term decision of the optimal output of a number of power generation facilities, to meet the system demand, with the objective of load dispatching at the lowest possible cost, subject to transmission lines power loss and operational constraints. The operational constraint includes power balance constraint, generator limit constraint and emission dispatch constraint and valve point effects. In this paper, hybrid Fuzzy-Opposition based Differential Evolution Algorithm (FODEA) has been proposed to handle the objective function and the operational constraints simultaneously. In this paper, ODE has been introduced for perfect tuning of the generating units within the given range and heuristic fuzzy has been integrated to bring the compromise solution between fuel cost and emission. Furthermore, the valve point loading effects and transmission lines power loss are also considered for the efficient and effective load dispatch. The ODEA has unique features such as self tuning of its control parameters, self acceleration and migration for searching. As a result, it requires very minimum executions compared with other searching strategies. The effectiveness of the algorithm has been validated through four standard test cases and compared with previous studies. The proposed method out performs the previous methods.