Implementation of quassi-oppositional TLBO technique on economic load dispatch problem considering various generator constraints

This paper presents a novel modified teaching learning based optimization method(TLBO) i.e quasi-oppositional TLBO (QOTLBO) algorithms to solve economic load dispatch problem of the thermal plant without considering transmission losses. The offered methodology can manage ELD problems using nonlinearities such as valve point loading, ramp rate limit and prohibited zone. The objective of ELD problem is to evaluate the optimal power generation allocation of units to satisfy the load demand, and also the overall cost of generation should be minimized, and different operational constraints should be fulfilled. General TLBO, a newly appeared evolutionary algorithm depend on two basic ideas of education namely teaching phase and learning phase. The efficiency of the offered algorithms has been checked on test system with equality and inequality constraints. The result is compared with the other existing techniques which prove the efficiency of algorithms.