Knowledge management (KM) is suggested as a method to manage and apply knowledge for business management. In this paper, we suggest a framework based on OPF (Open Process Framework) meta model for the knowledge-based decision-making. Based on the modeling method of OPF, we can translate partial and implicit knowledge resident in an individual's mental model into organized explicit knowledge. Th...

OBJECTIVE To study the relationship of plasma homocysteine (Hcy), bone turnover biomarkers (BTB), and bone mineral density (BMD) with osteoporotic fracture (OPF) in elderly people. METHODS Eighty-two patients (aged 65 years or older) admitted to our orthopedics department between October 2014 and May 2015 were randomly divided into three groups: 1) OPF group: 39 cases with the mean age 81.82±...

Metaheuristic optimization techniques have successfully been used to solve the Optimal Power Flow (OPF) problem, addressing shortcomings of mathematical techniques. Two most popular metaheuristics are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The literature surrounding GA PSO OPF is vast not adequately organized. This work filled this gap by reviewing prominent works analyzi...

Fast inverter control is a desideratum towards the smoother integration of renewables. Adjusting injection setpoints for distributed energy resources can be an effective grid mechanism. However, finding such optimally requires solving optimal power flow (OPF), which computationally taxing in real time. Previous works have proposed learning mapping from conditions to OPF minimizers using Gaussia...

This paper proposes a procedure for the optimal siting and sizing of energy storage systems (ESSs) within active distribution networks (ADNs) hosting large amount stochastic distributed renewable resources. The optimization objective is to minimize ADN’s day-ahead computed dispatch error. allocation ESS determined while taking advantages from their operational features regarding dispatchability...

The Optimal Power Flow problem (OPF) plays a crucial role in the successful energy management of modern smart grids. The diffusion of renewable energy sources poses new challenges to the power grid in which integrated energy storage combined with green generation solutions can help to address challenges associated with both power supply and demand variability. This work refers to a smart grid c...

This paper proposes a two-level distributed algorithmic framework for solving the AC optimal power flow (OPF) problem with convergence guarantees. The presence of highly nonconvex constraints in OPF poses significant challenges to algorithms based on alternating direction method multipliers (ADMM). In particular, is not provably guaranteed network optimization problems like OPF. order overcome ...

This paper presents an optimal power flow method based on the generation rescheduling priority to enhance transient stability in power systems. In order to determine the generation rescheduling priority the energy margin sensitivity indices are calculated. The candidate generators for generation rescheduling are determined by the energy margin sensitivity indices and then optimal power flow (OP...