Prior to the mid 1980s, the dominance of through-hole packaging of integrated circuits (ICs) provided easy access to nearly every pin of every chip on a printed circuit board. Providing accessibility and controllability for board testing was simply a matter of probing the board. With the advent of surface mount packaging, the accessibility for probing printed circuit boards began to diminish. L...

Multi Objective Optimal Power Flow including FACTS technology is one of the most important issues in power system planning and control. In this paper Artificial Intelligence techniques are used to solve the Multi Objective Optimum Power Flow incorporating FACTS devices with valve point effect. In this paper two objectives loss minimization and minimum voltage deviation are taken into considerat...

There are various methods applied for indicating the most sensitive bus for any corrective and preventive actions like power scheduling at generation site and shunt element placement such as capacitor bank and FACTS devices at load site. The methods can be sensitivity analysis, optimization method, stability index based ranking and lastly the method that is rarely applied, termed as power traci...

Received Mar 25, 2017 Revised May 30, 2017 Accepted Jun 11, 2017 This paper solves an optimal reactive power scheduling problem in the deregulated power system using the evolutionary based Cuckoo Search Algorithm (CSA). Reactive power scheduling is a very important problem in the power system operation, which is a nonlinear and mixed integer programming problem. It optimizes a specific objectiv...

This paper demonstrates several methods of measurement of passive components using an IEEE 1149.4 compliant device and low cost laboratory measurement equipment. It will briefly describe the IEEE 1149.4 mixed signal test bus standard and its features, and it will describe the device that was used to prove its concepts of virtual probing, AC and DC measurements and data acquisition possibilities...

This article introduces an application of the recently developed hunger games search (HGS) optimization algorithm. The HGS is combined with chaotic maps to propose a new Chaotic Hunger Games (CHGS). It applied solve optimal power flow (OPF) problem. OPF solved minimize generation costs while satisfying systems’ constraints. Moreover, presents siting for mixed renewable energy sources, photovolt...

in this paper, the static var compensator (svc) has been used to improve dynamic behaviour of power system. to do this, a new objective function is formulated considering power loss reduction, voltage profile improvement and loadability margin decrease. other contribution of this research is proposing a novel structure for particle swarm optimization (pso) algorithm through modifying the initia...

This paper proposes a new, metaheuristic optimization technique, Artificial Gorilla Troops Optimization (GTO), for hybrid power system with photovoltaic (PV) and wind energy (WE) sources, solving the probabilistic optimum flow (POPF) issue. First, selected algorithm is developed evaluated such that it applies to solve classical (OPF) approach total fuel cost as objective function. Second, propo...

The main objective of the paper is to minimize use conventional generators and optimize fuel cost. To generators, solar thermal power plant (STPP) proposed in this paper. An approach for optimal location STPP also cost, firstly unit commitment (UC) applied generators. Then genetic algorithm (GA) used cost committed suggested method tested on an IEEE 14 bus test system 24 hr. schedule with varia...

this paper presents a probabilistic optimal power flow (popf) algorithm considering different uncertainties in a smart grid. different uncertainties such as variation of nodal load, change in system configuration, measuring errors, forecasting errors, and etc. can be considered in the proposed algorithm. by increasing the penetration of the renewable energies in power systems, it is more essent...