Optimization through meta-heuristics in electric vehicular (EV) transport has emerged as the
key to improve the existing technologies and pave way for their mass deployment and …

Due to its significance in the operation of power systems, the optimal power flow (OPF)
problem has attracted increasing interest with the introduction of smart grids. Optimal power …

With the rapid development of communication, control, and computer technology, traditional
power systems have evolved into cyber-physical power system (CPPS). However, CPPS not …

Finding a feasible solution set for optimization problems in conflict with objective functions
poses significant challenges. Moreover, in such problems, the level of complexity may …

Accurate and stable wind speed forecasting is essential for the planning, scheduling and
control of wind energy generation and conversion in wind power industry. In this paper, a …

The classical optimal power flow problem is usually formulated with only thermal generators,
in which the fuel used to generate power is limited and emissions from the network system …

Economic-environmental power dispatch is one of the most popular bi-objective non-linear
optimization problems in power system. Classical economic power dispatch problem is …

Today's electrical power system is a complicated network that is expanding rapidly. The
power transmission lines are more heavily loaded than ever before, which causes a host of …

In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …

Optimal power flow (OPF) problem is a large-scale, non-convex, multi-modal, and non-linear
constrained optimization problem, which has been widely used in power system operation …