No abstract

No abstract

No abstract

No abstract

No abstract

Numerous engineering complexities are simplified using optimization algorithms. In a solar power system, the necessity of the voltage regulator is obvious. To control the regulator existent research works used PI, PID controllers that might have an unwanted transient response. To overcome such drawbacks here, a fresh scheme is proposed for the designing of the adaptive sliding mode (SM) controller of a solar powered LUO converter using optimization algorithms. The PSO ('Particle Swarm Optimization') is proved to expedite the convergence characteristic for many applications. Here, an ameliorated PSO version is developed. This algorithm is termed the Parameter Improved-PSO (PIPSO) algorithm. In this algorithm, the parameters, say, inertia weight, social along with cognitive agents is updated in every generation. The Proportional Integrator (PI) controller is used. The gain of this controller is tuned using the PIPSO. This algorithm's objective function is to lessen ISE ('Integral Squared Error') of the converter's output voltage. This parameter is picked as the objective function of the optimization algorithm. The proposed PIPSO is established to show better outcomes when contrasted to the traditional PSO concerning tuning a collection of parameters. An analysis is also made to evaluate the effect of usage of the solar panel () in the proposed work. K E Y W O R D S integral squared error, parameter improved particle swarm optimization, proportional integral controller, proportional integral controller, solar panel 1 | INTRODUCTION The continuous growth for global demand and environmental concern has lead to the exploration of Renewable Energy (RE) sources. As contrasted to all other 'RE' sources (Mekhilef, et.al, 2011) the photo-voltaic (PV) energy has advantages such as no noise, cleanliness, along with very less maintenance. The PV (Sangwongwanich, 2018) systems are broadly used for low power electrical generation. This paper attempts to use non-RE as the voltage source input. The DC − DC conversion technology has evolved as a major area of research in the power electronics and drives field. DC − DC converters (Chen et.al, 2017), (Forouzesh et.al, 2017), (Riedel et.al, 2017) are nothing but electrical circuits which can transport the energy to a load. In such sorts of converters, the switches can either be diodes or transistors. The voltage value (transferred) relies upon the switches' duty ratios. The DC − DC converters are extensively utilized on industrial applications along with computers hardware circuits. A disparity of the PI-Derivative (PID) control that utilizes just the proportional and integral terms is called PI control. The PI is further widely utilized than the PID.

The power systems industry has unprecedented changes in its structure every day. In the open market environment, entities like generation, transmission and distribution make new issues in power system operations and planning are inevitable. One of the major consequences of this environment is the greater emphasis on stable operation of power systems. This paper aims at the development of Service Oriented Architecture (SOA) based model for representing large interconnected power systems and its operations. An attempt has been made to test the proposed model for transient 'stability analysis. The proposed SOA model includes Pre-Fault, During-Fault, Post-Fault and Swing Curve services which are accessible to the power system clients when the system is subjected to large disturbances. The stability services are configured and deployed in the service provider and then published in a registry for enabling universal visibility and access to the power system clients. A generalized XML based model for data representation has been proposed for exchanging data in order to handle interaction legacy power system applications in a service oriented environment. An effective SOAP based communication model is proposed to bind the power system stability services. The proposed model portraits the stability services in service oriented environment that provides a flexible, scalable and reliable infrastructure for representing and analysis of power system operations.

The purpose of this study was to investigate security evaluation practices among small and medium enterprises (SMEs) in small South African towns when adopting cloud business intelligence (Cloud BI). The study employed a quantitative design in which 57 SMEs from the Limpopo Province were surveyed using an online questionnaire. The study found that: (1) the level of cybersecurity threats awareness among decision-makers was high; (2) decision-makers preferred simple checklists and guidelines over conventional security policies, standards, and frameworks; and (3) decision-makers considered financial risks, data and application security, and cloud service provider reliability as the main aspects to consider when evaluating Cloud BI applications. The study conceptualised a five-component security framework for evaluating Cloud BI applications, integrating key aspects of conventional security frameworks and methodologies. The framework was validated for relevance by IT specialists and acceptance by SME owners. The Spearman correlational test for relevance and acceptance of the proposed framework was found to be highly significant at p < 0.05. The study concluded that SMEs require user-friendly frameworks for evaluating Cloud BI applications. The major contribution of this study is the security evaluation framework conceptualised from the best practices of existing security standards and frameworks for use by decision-makers from small towns in Limpopo. The study recommends that future research consider end-user needs when customising or proposing new solutions for SMEs in small towns.