A common method for controlling a group of parallel converters in decentralized control strategy structure in an islAND microgrid, the use is the droop-down characteristics of frequency ω-P AND voltage E-Q. However, the problem with using this method is that the reactive power is not properly distributed (in proportion to the capacity of the micronutrients) between the micronutrients, which may lead to overload in the converters. Microgrids may also suffer from dynamic stability problems such as power fluctuations, which can be increased by switching between active AND reactive power control. To avoid this problem, the X / R ratio of transmission lines is an important parameter that should be carefully considered in the design of micronutrient controllers. By linearizing AND simplifying conditions, the control SYSTEM conversion function model becomes a single input-single output SYSTEM, which is efficient enough to show the relationship between control parameters such as slope of droop characteristics AND derivative sentences, virtual impedance, AND voltage controllers. Using this model, stability conditions for different parameters are analyzed. Also, to improve power DISTRIBUTION stability, common droop strategies are modified by adjusting the slope as well as adding nonlinear sentence sections. This approach reduces the coupling between active AND reactive power control AND reduces the dependence of power DISTRIBUTION on grid parameters such as the X / R ratio. To evaluate the reliability of the proposed model, the simulation results in a sample islAND microgrid in MATLAB software are presented.

Different types of contact, including contact between node pairs, any-contact of nodes, AND contacts of the entire network, are used to characterize social relations in mobile social networks. Different modes of routing, from the point of view of message delivery semantics, encompass unicasting, multicasting, any-casting, AND broadcasting. Studies have shown that using probability DISTRIBUTION functions of contact data, which is mainly assumed to be homogeneous for nodes, improves the performance of these networks. However, there exists an important challenge in studies on DISTRIBUTIONs. A lot of works apply the DISTRIBUTION of one type of contact to other types. Hence in routing applications, it causes to use of the DISTRIBUTION of one type of contact for any mode of routing. This study provides a complete solution to model each type of homogeneous contact data DISTRIBUTION AND to use them in different modes of routing. We propose a routing algorithm that uses this new model. Results show that our solution improves the average latency of comparing methods Epidemic, TCCB, AND DR about 3.5-times, 30%, AND 45%, respectively. It achieves a delivery rate of about 5% AND 6%, AND average latency about 6% AND 8% better than that of DR AND TCCB, respectively.

Monitoring AND evaluation of transformers are essential to prevent their insulation failure. In this paper, the use of 2-furan-carboxaldehyde (2-FAL) AND methanol (MeOH) concentrations as the main products of paper insulation degradation, AND insulation condition markers, has been studied. In order to study the degradation process AND production of degradation products, the thermal aging process of the transformer insulation SYSTEM was implemented in laboratory conditions. The results of laboratory studies show that in the early stages of degradation the amount of MeOH is significant compared to 2-FAL. Also, the estimation of the degree of polymerization (DP) in the early stages of degradation (DP>800) through MeOH concentration AND with decreasing DP (DP <800) through 2-FAL concentration is closer to the real value. The results of studies performed on 35 DISTRIBUTION transformers confirm the production of significant amounts of MeOH in the early stages of degradation. Also, the estimated DP values for the studied transformers were obtained through 2-FAL AND MeOH concentration. The results show that estimating the amount of DP through MeOH concentration is associated with a probability of error of about 9% compared to estimating DP through 2-FAL concentration.

Distributed Generation (DG) is a promising solution to many power SYSTEM problems such as voltage regulation, power loss, etc. This paper presents a new methodology using Fuzzy AND Artificial Bee Colony algorithm (ABC) for the placement of Distributed Generators (DG) in the RADIAL DISTRIBUTION SYSTEMs to reduce the real power losses AND to improve the voltage profile. A two-stage methodology is used for the optimal DG placement.In the first stage, Fuzzy is used to find the optimal DG locations AND in the second stage, ABC algorithm is used to find the size of the DGs corresponding to maximum loss reduction. The ABC algorithm is a new population based meta heuristic approach inspired by intelligent foraging behavior of honeybee swarm. The advantage of ABC algorithm is that it does not require external parameters such as cross over rate AND mutation rate as in case of genetic algorithm AND differential evolution AND it is hard to determine these parameters in prior. The proposed method is tested on stANDard IEEE 33 bus test SYSTEM AND the results are presented AND compared with different approaches available in the literature. The proposed method has outperformed the other methods in terms of the quality of solution AND computational efficiency.

The body freedom flutter phenomenon is one of the aeroelastic instabilities that occurs due to the coupling of the aeroelastic bending mode of the wing with the short-period mode in the flight dynamics of the aircraft. By using the aeroservoelastic model AND applying closed LOOP control, this phenomenon can be suppressed in the operating conditions of the aircraft AND the velocity of this event can be increased. The simplest model aircraft capable of displaying this instability includes the flexible wing AND the planar flight dynamics model. For this purpose, the wing structure is modeled using the Euler-Bernoulli beam AND, the theory of minimum variable state is used to model unstable aerodynamics to make the conditions suitable for modeling the SYSTEM in state space. In the control section, the elevator is used as the control surface AND LQR theory with Kalman filter is used to body freedom flutter suppression. Finally, the effect of adding a closed LOOP control to increase the body freedom flutter velocity AND the limitations of this work are studied.

Non-cooperative intelligent control agents (ICAs) with dedicated cost functions, can lead the SYSTEM to poor performance AND in some cases, closed-LOOP instability. A robust solution to this challenge is to place the ICAs at the feedback Nash equilibrium point (FNEP) of the differential game between them. This paper introduces the designation of a robust decentralized infinite horizon LQR control SYSTEM based on the FNEP for a linear time-invariant SYSTEM. For this purpose, two control strategies are defined. The first one is a centralized infinite horizon LQR (CIHLQR) problem (i.e. a supervisory problem), AND the second one is a decentralized control problem (i.e. an infinite horizon linear-quadratic differential game). Then, while examining the optimal solution of each of the above strategies on the performance of the other, the necessary AND sufficient conditions for the equivalence of the two problems are presented. In the absence of the conditions, by using the least-squares error criterion, an approximated CIHLQR controller is presented. It is shown that the theorems could be extended from a two-agent control SYSTEM to a multi-agent SYSTEM. Finally, the results are evaluated using the simulation results of a Two-Area non-reheat power SYSTEM.

In this paper, the impacts of installing superconducting fault current limiter (SFCL) in RADIAL AND LOOP power DISTRIBUTION SYSTEM are evaluated to improve voltage sag in both cases of with AND without distributed generations (DG). Among various SFCLs, the hybrid type with a superconducting element in parallel with a current limiting reactor (CLR) is selected. This is more effective than resistor-type SFCLs because it reduces the burden on the superconducting element, ac losses AND cost in DISTRIBUTION SYSTEM. According to SFCLs impedance AND their locations in power SYSTEM, voltage sag will be improved by reducing the fault current. In this paper, SFCLs with various arrangement AND CLR magnitudes are installed in DISTRIBUTION SYSTEM AND improving the voltage sags on different buses are examined according to fault position. Area of severity (AOS) method AND expected annual sag frequency (ESF) are used to analyze the voltage sag. The results show that installing SFCL can improve the voltage sags as well as fault current reduction in RADIAL AND LOOP DISTRIBUTION SYSTEMs.

current research is to critically analyze the discourse of world peace in the textbooks of the Iranian educational SYSTEM based on the theory of identification by L& M. For this purpose, the textbooks between the years 1357-1392 (primary period AND first period high school) have been analyzed. This article has been done with the combined method of analyzing the discourse of Fairclough, L &M AND focusing on the following questions: What was the status of the world peace discourse in the educational documents of this era? What subjects are these educational materials trying to create? What role have the dominant political discourses in this era played in shaping the identity of these subjects? The findings show that the discourse of world peace in educational books AND documents has been rejected due to the demarcation between Islamic AND non-Islamic, internal AND external. Power processes have tried to create militant AND vengeful subjects with a military identity. The factor of persuasion of the subjects is the axiomatization of the ideologies of the revolution with an Islamic nature. Also, the educational content by inducing specific defense ideologies has formed pacifist identities in all individual, interpersonal, social AND international dimensions.

This paper proposed the multiobjective optimal allocation of renewable distributed generation AND shunt capacitors in the DISTRIBUTION SYSTEM using corona virus herd optimization techniques. The work aimed to achieve a technical benefit, total electricity cost reduction, AND enhancement of greenhouse safety. The objectives considered are real power loss, voltage profile index (VPI), voltage stability index (VSI), total electricity cost (TEC), AND total greenhouse gas emission (TGHGe). Weight function was used to combine the objectives for the six cases considered with different priorities. The proposed CHIO is validated on the stANDard IEEE 33 bus SYSTEM AND implemented on Dada 46 bus, a Nigerian practical DISTRIBUTION network. Various cases were considered for the two test SYSTEMs. For IEEE 33 bus, the proposed method achieved 89. 44% AND 86. 77% reduction in real AND reactive power, respectively, with 93. 73% AND 39. 27% in TGHGe AND TEC. Also, for Dada 46 bus SYSTEM, 89. 44% AND 86. 77% reduction in real AND reactive power loss respectively was achieved with 98. 66% AND 64. 42% in TGHGe AND TEC. Furthermore, the highest level of greenhouse gas emission reduction was achieved (says 99. 69%) when high priority was placed on the reduction in TGHGe,this shows the significant impact of renewable energy in the DISTRIBUTION SYSTEM. The results obtained are compared with the existing methods, such as PSO, GA, ABC, GABC, WOA, WCA, to mention a few. In other to show the performance of the proposed CHIO compared to others, the outcome reveals the excellent performance of the proposed algorithm in terms of an optimal result.