In this paper, the combined natural gas and electric optimal power flow (GEOPF) is presented. It shows fundamental modeling of the natural gas network to be used for the GEOPF, and describes the equality constraints which describe the energy transformation between gas and electric networks at combined nodes (i.e., generators). We also present the formulation of the natural gas loadflow problem,...

This paper narrates an application of Particle Swarm Optimization (PSO) for economic load dispatch. The main objective function is to optimize the Fuel cost and Active power loss by considering the power flows within the allowable limits. The PSO is simple in concept and easy in implementation. It does not require any derivative information, sure and fast convergence. Moreover, the problem can ...

Optimal power flow (OPF) over power transmission networks poses challenging large-scale nonlinear optimization problems, which involve a large number of quadratic equality and indefinite quadratic inequality constraints. These computationally intractable constraints are often expressed by linear constraints plus matrix additional rank-one constraints on the outer products of the voltage vectors...

This paper aims to design an optimal distributed multi-agent controller for load frequency control and optimal power flow purposes. The controller parameters are optimized using Grey Wolf Optimization (GWO) algorithm. The designed optimal distributed controller is employed for load frequency control in the IEEE 30-bus test system with six generators. The controller of each generator is consider...

Mathematical models representing the behavior of electrical loads are an important part any optimal power flow problem. The current state-of-the-art in unbalanced mostly considers wye-connected, constant loads. However, for applications such as conservation voltage reduction, it is crucial to model how consumption depends on network. This article develops a unified framework handle wide variety...