Abstract
Electric power systems are in state of transition as they attempt to evolve to meet new challenges provided by growing environmental concerns, increases in the penetration of distributed renewable energy sources (DRES) as well as the challenges associated with integrating new technologies to enable smart grids. New techniques to improve the electrical power system, including the distribution system, are thus needed. One such technique is dynamic distribution system reconfiguration (DNSR), which involves altering the network topology during operation, providing significant benefits regarding the increased integration of DRES. This paper lays out an improved model which aimed to optimize the system operation in a coordinated way, where DRES, energy storage systems (ESS) and DNSR are considered as well as the uncertainty of these resources. The objective function was modeled to incentivize the uptake of DRES by considering the cost of emissions to incentivize the decarbonization of the power system. Also, the switching costs were modeled to consider not only the switching, but also the cost of degradation of these mechanisms in the system operation. Two systems are used to validate the model, the IEEE 119-bus system, and a real system in Sao Miguel Island. The results of this paper show that using DNSR, DRES, and ESS can lead to a significant 59% reduction in energy demand through a 24-hour period. In addition, using these technologies results in a healthier, more efficient, and higher quality system. This shows the benefits of using a variety of smart grid technologies in a coordinated manner.

Abstract

Abstract
The objective of coalition formation is to partition the agent set that gives the highest utility to the system. Over the past three decades, the process of coalition formation has been applied to various real-life applications where agents need to form efficient groups to accomplish a task. This article presents a study of the state-of-the-art approaches on the applications of coalition formation. In particular, it surveys the algorithmic approaches for optimizing the system's welfare. The algorithms are then analyzed based on a framework that consists of two dimensions: (i) the features of the problem environment, which gives an overview of the complexity level of the environment, and (ii) the features of the problem solver, which gives an overview of the solution quality. Our study analyses the approaches in terms of the framework mentioned above, justifies the use of the approaches in a particular problem setting, presents guidance to choose the right algorithmic approach for a problem at hand, and classifies the state-of-the-art approaches according to their basic working principles. This article also presents possible future directions of work to the research community. This study shows that theoretical models need more research before they can be deployed in the real world.

Abstract

Abstract

Abstract
With the increasing use of air transport (cargo and passengers), the evolution of safety standards to an increasingly demanding level, markets have seen the development of business structures and strategies in the sector. Since 2009, revenues in the sector have been increasing, but it is necessary to optimize the operations that compose it. One of the critical areas is the management of maintenance schedules and consequently the stock management. In addition, the increase in e-commerce has led to cargoes having increasingly diverse specificity, value, and levels of urgency of delivery. The requirement for reliable and timely service is considered to be the main requirement and is matched by the price requirement. The high cost of stopping a plane outweighs the cost of transporting the required part, overriding the requirements of time and reliability, particularly in Aircraft on Ground (AOG) shipments. It has found that one of the problems is the small size of a large percentage of the components being transported. This feature encourages losses during transport and is blamed on various intermediaries in the supply chain. The need to track and trace product in real time is therefore crucial, particularly with the current demands of e-commerce customers. In this sense, the opportunity arose to the development of a package for the transport of small items allowing their traceability and monitoring. Through a questionnaire addressed to elements that intervene directly in the management of AOG shipments, 100% of respondents affirm that the use of an easy-to-identify box would avoid delays or losses and 91.7% of respondents affirm that a GPS device would improve the level of service.