Opposition Based Differential Evolution Algorithm for Dynamic Economic Emission Load Dispatch (EELD) with Emission Constraints and Valve Point Effects

Optimal Power 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 Power 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, Opposition based Differential Evolution
Algorithm (ODEA) has been proposed to handle the objective function and the operational constraints
simultaneously. Furthermore, the valve point loading effects and transmission lines power loss are also
considered for the efficient and effective Power 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.