optimal reactive power dispatch (orpd) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. due to the stochastic behavior of loads, the orpd requires a probabilistic mathematical model. in this paper, monte carlo simulation (mcs) is used for modeling of load uncertainties in the orpd problem. the problem is formulated as a nonlinear constrained mul...

Voltage stability issues are growing challenges in many modern power systems. This paper proposes optimizing the size and location of Static VAR Compensator (SVC) devices using a Fuzzy Weighted Seeker Optimization Algorithm (FWSOA), as an effective solution to overcome such issues. Although the primary purpose of SVC is bus voltage regulation, it can also be useful for voltage stability enhance...

although many mathematics-based and heuristic approaches have been recently developed on optimally allocation of tcscs for lines overloads reduction and buses voltage stability enhancement during fault conditions, the works on the tcscs efficiency to achieve the abovementioned goals are rare. this idea that tcscs can surely enhance the system’s security must be comprehensively investigated. in ...

Consolidation of shunt capacitors plays an important role in radial distribution networks. Among many of their merits, line loss and total harmonic distortion (THD) reduction, voltage profile improvement and reactive power compensation can be the salient specifications of shunt capacitors. Studies show that non-optimal locations shunt capacitor units lead to increase loss, together with bad eff...

in this article, a multi-objective function for placement of distributed generation (dg) and capacitors with thetap setting of under load tap changer (ultc) transformer is introduced. most of the recent articles have paidless attention to dg, capacitor placement and ultc effects in the distribution network simultaneously. insimulations, a comparison between different modes was carried out with,...

This paper presents a new Hybrid Particle Swarm optimization with Time Varying Acceleration Coefficients (HPSOTVAC) and Bacteria Foraging Algorithm (BFA) namely (PSOTVAC/BFA) base fuzzy stochastic long term approach for determining optimum location and size of Distributed Energy Resources (DERs). The Monte Carlo simulation method is used to model the uncertainties associated with long-term load...

| The accuracy of current mirrors in analog VLSI is reduced due to the reduction in the size. This paper describes a statistical approach for determining the accuracy of four commonly used current mirror structures, in the presence of process variations. Results indicate that with the same area limitation the simple twotransistor current mirror and the source degenerated current mirror have the...

This paper presents a new Hybrid Particle Swarm optimization with Time Varying Acceleration Coefficients (HPSOTVAC) and Bacteria Foraging Algorithm (BFA) namely (PSOTVAC/BFA) base fuzzy stochastic long term approach for determining optimum location and size of Distributed Energy Resources (DERs). The Monte Carlo simulation method is used to model the uncertainties associated with long-term load...