Microgrid Optimum Identification Location Based on Accelerated Particle Swarm Optimization Techniques Using SCADA System

The microgrid has become significant and commonly used;it has localized electricity sources and loads connected to a centralized electrical power network system when the need arises and disconnects to island mode. A microgrid can effectively be integrated with various distribution generators, which can improve the voltage level on the transmission line by reducing the real power losses. In this work, new technologies will permit power grids to be better prepared for future requirements. The numbers and diversity of such decentralized power plants require a new type of management in the operation of power grids and intelligent networks or “smart grid.” A SCADA system will improve coordination between power demand and generation and use of modern information technology such as the internet, sensors, controllers, and wireless transmission equipment and use smart metering. The Accelerated Particle Swarm Optimization technique will be used to select the optimum location of a wind turbine to install in the power grid considering minimum power losses with optimal operation consideration of the number of iterations, the execution time of the program, and the memory capacity. The analysis and the study are carried out in MATLAB and the SCADA system.

Patient Reported Frequency of Lupus Flare: Associations with Foundation Makeup and Sunscreen Use

Objective: To test the hypothesis that usage of foundation makeup (FM) and sunscreen lotion (SS), used individually or in combination, is associated with significant changes in the likelihood of lupus symptom exacerbation. Methods: Self-reported flare days (SRF) and use of FM and SS products, were retrospectively examined in 80 Caucasian Australian women with ACR classified SLE for a year. Negative binomial regression modelled SRF days (outcome) against independent FMSS variable and covariates: age;diagnosis years;outdoor hours;BMI;stress;immune therapy medication (ITM) use. Results: Statistically significant inverse associations between SRF days and FMSS use were found. Protective effects were statistically significant (p < 0.05) for combined FMSS exposure days (OR 0.998, CI 0.997 - 1.0) and FM alone (OR 0.603, CI 0.363 - 1.0). Significant associations consistent with increased SRF risk were seen in sub-analysis models for participants taking ITM: univariate model (OR 1.968, p = 0.03);multivariate model for FMSS (OR 2.11, CI 1.161 - 3.835);FM days (OR 1.855, CI 1.023 - 3.364). Results show SRF day reduction of 0.15% for each day of product exposure. Conclusion: Study results highlight protective effects of wearing FM with or without SS. This reduction in flare days ultimately has potential to improve quality of life in SLE patients.