This paper presents two new Particle swarm optimization methods to solve optimal power flow (OPF) in power system incorporating flexible AC transmission systems (FACTS). Two types of FACTS devices, thyristor-controlled series capacitor (TCSC) and thyristor controlled phase shifting (TCPS), are considered. In this paper, the problems of OPF with FACTS are solved by using particle swarm optimizat...

This paper presents a novel probabilistic optimization algorithm for simultaneous active and reactive power dispatch in power systems with significant wind power integration. Two types of load and wind-speed uncertainties have been assumed that follow normal and Weibull distributions, respectively. A PV bus model for wind turbines and the wake effect for correlated wind speed are used to achiev...

The optimal power-flow problem (OPF) has always played a key role in the planning and operation of power systems. Due to the non-linear nature of the AC power-flow equations, the OPF problem is known to be non-convex, therefore hard to solve. Most proposed methods for solving the OPF rely on approximations (e.g., of the network model) that render the problem convex, but that consequently yield ...

The optimal power-flow problem (OPF) has always played a key role in the planning and operation of power systems. Due to the non-linear nature of the AC power-flow equations, the OPF problem is known to be non-convex, therefore hard to solve. Most proposed methods for solving the OPF rely on approximations (e.g., of the network model) that render the problem convex, but that consequently yield ...

with the development of deregulated power systems and increase of prices in some hours of day and increase fuel price, demand response programs were noticed more by customers. demand response consists of a series of activities that governments or utilities design to change the amount or time of electric energy consumption, to achieve better social welfare or some times for maximizing the benefi...

Marrow stromal cells (MSCs) have been suggested as a means to improve healing in tendon overuse injuries (tendinopathy), but optimal delivery methods for these cells have yet to be determined. In this study novel degradable hydrogels based on oligo(poly(ethylene glycol) fumarate) (OPF) and acrylated poly(ethylene glycol)-dithiothreitol (Ac PEG-DTT) with tunable degradation times ranging from a ...

This paper proposes three strong second order cone programming (SOCP) relaxations for the AC optimal power flow (OPF) problem. These three relaxations are incomparable to each other and two of them are incomparable to the standard SDP relaxation of OPF. Extensive computational experiments show that these relaxations have numerous advantages over existing convex relaxations in the literature: (i...

Alternating-Current Optimal Power Flow (AC-OPF) is framed as a NP-hard non-convex optimization problem that solves for the most economical dispatch of grid generation given AC-network and device constraints. Although there are no standard methodologies obtaining global optimum problem, considerable interest from planning operational engineers in finding local optimum. Nonetheless, solving optim...

This paper proposes a novel machine-learning approach for predicting AC-OPF solutions that features fast and scalable training. It is motivated by the significant training time needed existing approaches AC-OPF. The proposed 2-stage methodology exploits spatial decomposition of power network viewed as set regions. first stage learns to predict flows voltages on buses lines coupling regions, sec...