Optimal allocation and sizing of multi DG units including different load model using evolutionary programming

This paper presents the optimal allocation and sizing of multi distributed generation (DG) units including different load models using evolutionary programming (EP) in solving power system optimization problem. This paper also studies on the effect of multi DG placement in different load model. To optimize the power distribution system, multi DG units were used to reduce losses power distribution system. By using EP, the optimal allocation and sizing of multi-DG was determined in order to obtain maximum benefits from its installation. The propose technique was tested into IEEE 69-bus distribution system. The result shows the placement of DG can reduce power loss 89% to 98%. The placement of multi-DG unit has better performance compare to single DG

Case study on prototyping educational applications using persona-based approach

In the twenty-first century, many technologies and applications have been developed to support the digital learning environment for teachers and students either physically in class or virtually at home. The need has increased due to the current COVID-19 pandemic, as students must join online teaching and learning at home either they are at primary, secondary, or tertiary levels. Since the requirements are different according to the level of education, some educational applications are not suitable and complicated for lower education levels. Considering various users' needs, persona-based approach has been used in many studies to elicit users' requirements and derive diverse scenarios from user personas before moving to implementation stage. Thus, this case study proposes a persona-based approach to identify students' goals or needs, pains or challenges besides their satisfaction when using educational application prototypes. It involved eight prototypes for learning Computer Science topics and 29 secondary school students. The findings conclude how the persona-based approach can be used to investigate diverse users' needs, challenges, and scenarios as the inputs to design educational applications with digital contents or e-contents for specific topics or subjects