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 ...

The operation of power systems has become more challenging due to feed-in of volatile renewable energy sources. Chance-constrained optimal power flow (ccOPF) is one possibility to explicitly consider volatility via probabilistic uncertainties resulting in mean-optimal feedback policies. These policies are computed before knowledge of the realization of the uncertainty is available. On the other...

Abstract Oil palm solid waste from Indonesia’s large oil plantations has enormous potential to meet various human needs. Lb. fermentum InaCC B 1295 (LFB1295) was tested in vitro for viability, acid and bile tolerance, safety assessment, antioxidant activities as a probiotic. The physiochemical characteristics of frond (OPF) cellulose microfiber (CMF) were also examined. OPF mainly consisted car...

A prominent challenge to the safe and optimal operation of modern power grid arises due growing uncertainties in loads renewables. Stochastic flow (SOPF) formulations provide a mechanism handle these by computing dispatch decisions control policies that maintain feasibility under uncertainty. Most SOPF consider simple such as affine are mathematically resemble many used current practice. Motiva...