This paper presents a novel approach for tuning unified power flow controller (UPFC) based damping controller in order to enhance the damping of power system low frequency oscillations. The design problem of damping controller is formulated as an optimization problem according to the eigenvalue-based objective function which is solved using iteration particle swarm optimization (IPSO). The effe...

The present work explores the effect of substitution in all free positions of furfural on conformational preferences of formyl group by using ab-initio calculations at the MP2/6-31G(p,d) level of theory. Theoretical modeling was made in vacuo. The selected substituents were -CH(3), NH(2), NO(2) and F groups in 3, 4, 5 and ipso carbonyl positions. Geometries of all derivatives were analyzed and ...

This exploration is aimed at reducing the waste of resources in supply chain inventory management and provide better services for green management. It mainly proposes a backpropagation neural network (BPNN) model based on improved particle swarm optimization (IPSO) (IPSO-BPNN) applies it to prediction. First, important technologies intelligent are analyzed from perspective ecological environmen...

In the mobile robot workplace, path planning problem is crucial. Robotic systems employ intelligence algorithms to plan robot's from one point another. This paper proposes fastest and optimal of wheeled with collision avoidance find route during navigation start target point. It done using a modern meta-heuristic hybrid algorithm called IPSOGWO by combining Improved Particle Swarm Optimization ...

This paper presents an off-line optimal trajectory planning for differential-drive rover through simulation of the dynamic model. The paper starts with the model dynamics of an actual rover built in our space science and technology lab (SSTLab) and controlled by simple PD controllers. Next, the proposed optimization technique used is presented which is called Incremented Particle-Swarm Optimiza...

On the basis of the linearized Phillips-Herffron model of a single-machine power system, a novel method for designing unified power flow controller (UPFC) based output feedback controller is presented. The design problem of output feedback controller for UPFC is formulated as an optimization problem according to with the time domain-based objective function which is solved by iteration particle...

Limited insight is available regarding the benefits of an Integrated Product Service Offering (IPSO) as a possibility to encapsulate a technology. This paper applies a framework termed the PCP (Provider – Customer – Product) Triangle to two cases. The PCP Triangle aims to identify benefits (including technology encapsulation) and risks of IPSOs in a systematic manner. In one case, a technology ...

The symmetry of the hydrogen bond in hydrogen cyclohexene-1,2-dicarboxylate monoanion was determined in chloroform using the NMR method of isotopic perturbation. As the temperature decreases, the (18)O-induced (13)C chemical-shift separations increase not only at carboxyl carbons but also at ipso (alkene) carbons. The magnitude of the ipso increase is consistent with an (18)O isotope effect on ...

Unit commitment problem is a large scale nonlinear hybrid integer programming problem. Optimal unit commitment scheduling involves determining on/off states of units and determining generations of units. This paper proposes an improved particle swarm optimization (IPSO) for the solution of optimal unit commitment problem (UCP). In the proposed approach, the on/off states of units are limited in...

Nitration of p-tert-butylcalix[n]arene methyl ethers under a variety of reaction conditions has been examined. It has been determined that amongst different nitration procedures adopted (AlCl3/KNO3, HNO3/CH3COOH, HNO3/(CH3CO)2O, cerium(IV) ammonium nitrate/CH3COOH), ipso-nitration with CH3COOH/HNO3 gives best yields of p-nitrocalixarenes and work up conditions. ipso-Nitration of tetramethoxytet...