In this paper we introduce the idea of descriptor combination by Particle Swarm Optimization and its applications for classification purposes using a recently pattern recognition technique called Optimum-Path Forest (OPF), which interprets the samples of the dataset as the nodes of a given graph, and each arc is weighted by the distance between the corresponding nodes. The method combines diffe...

Optimal Power Flow (OPF) is one of the main functions of Power Generation Operation and Control. It determines the optimal settings of generating units, bus voltage, transformer tap and shunt elements in Power System with the objective of minimizing total production costs or losses while the system is operating within its security limits. The aim of this paper is to propose a methodology (ABCA-...

Power system throughout the world is undergoing tremendous changes and developments due to rapid Restructuring, Deregulation and Open-access policies. Greater liberalization, larger market and increasing dependency on the electricity lead to the system operators to work on limited spinning reserve and to operate on vicinities to maximize the economy compromising on the reliability and security ...

This study reviews the form of the ISO’s DC Optimal Power Flow (OPF) problem in the AMES wholesale power market testbed.

The optimal power flow (OPF) is a vital tool for optimizing the control parameters of system by considering desired objective functions subject to constraints. Metaheuristic algorithms have been proven be well-suited solving complex optimization problems. whale algorithm (WOA) one well-regarded metaheuristics that widely used solve different Despite use WOA in fields application as OPF, its eff...

The chance-constrained optimal power flow (CC-OPF) has gained prominence due to increased uncertainty in the system. However, solving CC-OPF for general distribution classes is challenging lack of analytical formulation probabilistic constraints and cost-complexity trade-off issues. This work proposes a novel joint (JCC-OPF) via maximum mean discrepancy (MMD) penalization obtain probabilistical...

The optimal power flow (OPF) problem contains many constraints. However, equality constraints and a limited set of inequality encompass sufficient information to determine the feasible space. This article presents hybrid supervised regression-classification learning-based algorithm predict active inactive before solving AC OPF solely based on nodal demand information. proposed is structured usi...

Developing a suitable framework for real-time optimal power flow (RT-OPF) is of utmost importance for ensuring both optimality and feasibility in the operation of energy distribution networks (DNs) under intermittent wind energy penetration. The most challenging issue thereby is that a large-scale complex optimization problem has to be solved in real-time. Online simultaneous optimization of th...

An injectable hydrogel composite consisting of oligo(poly(ethylene glycol)fumarate) (OPF) and gelatin microparticles has been developed as a novel carrier system for cells and growth factors. Rabbit marrow mesenchymal stem cells (MSCs) and gelatin microparticles (MPs) loaded with insulin-like growth factor-1 (IGF-1), transforming growth factor-beta1 (TGF-beta1), or a combination of both growth ...