Solving the optimal power flow problems (OPF) is an important step in optimally dispatching
the generation with the considered objective functions. A single-objective function is …

The study presents an improved particle swarm optimisation (IPSO) method for the multi-
objective optimal power flow (OPF) problem. The proposed multi-objective OPF considers …

This paper presents an adaptive group search optimization (AGSO) algorithm for solving
optimal power flow (OPF) problem. In this study, different aspects of the OPF problem are …

In this paper, a modified teaching–learning based optimization algorithm is analyzed to
solve the multi-objective optimal power flow problem considering the total fuel cost and total …

The electric sector is majorly concerned about the greenhouse and non-greenhouse gas
emissions generated from both conventional and renewable energy sources, as this is …

Since the increases in electricity demand, environmental awareness, and power reliability
requirements, solutions of single-objective optimal power flow (OPF) and multi-objective …

In this paper, an effective and reliable algorithm, based on Shuffle Frog Lea** Algorithm
(SFLA) and Simulated Annealing (SA) is proposed for solving the optimal power flow (OPF) …

In this study, symbiotic organisms search (SOS) stochastic method is proposed to solve the
optimal power flow (OPF) problem with valve-point effect and prohibited zones, which is one …

In this paper, a hybrid optimization algorithm is proposed to solve multiobjective optimal
power flow problems (MO-OPF) in a power system. The hybrid algorithm, named DA-PSO …

This article presents a meta-heuristic hybrid algorithm to solve multi-objective optimal power
flow (MOOPF) taking into account multi-fuel constraint. Four different objective functions …