Real-Time Energy Management System for Microgrids

Abstract: Microgrids (MD) is a new technology to improve efficiency, resilience, and reliability in the electricity sector. MD are most likely to have a clean energy generation, but the increase of microgrids with this kind of generation brings new challenges for energy management (EMS), especially concerning load uncertainties and variation of energy generation. In this context, this study has the main objective to propose a method of how to attend this matter, verifying the difference between the day before and real-time. The EMS proposed analyses the MD in real-time, calculating the deviation between dispatched and what was predicted to happen in the operation point in a three-dimensional analysis approach, considering renewable energy generation, battery State of Charge (SOC) and load curve. The system categorized the deviation in three possible quantities (small, medium, or high) and it acts accordingly. For the Next Operation Point predictor are used an artificial neural network (ANN) methodology. For the Decision Support System, it's used a fuzzy logic system to adjust the next operation point, and it uses a mixed-integer linear programming (MILP) approach when the deviation is too high, and the dispatched operation is unfeasible. Simulations with real data and information of a pilot project of MD are carried out to test and validate the proposed method. Results show that the methodology used to attend the matters of uncertainties and variation of energy generation. A reduction of operational cost is observed in the simulations.

Impact on the Distribution Grid Due to the Introduction of Electric Vehicles on Fernando de Noronha Island (Brazil)

Abstract Increasing global temperatures over the past years have become a worry. To mitigate this, countries have set out to decrease their greenhouse gas emissions soon. A major contributor to these emissions has been the transport sector. Electric mobility has appeared as an opportunity to decarbonize this sector. With this in mind, Fernando de Noronha Island, a UNESCO World Heritage Site, has determined to ban all fossil fuel vehicles by 2030. Understanding the impact electric vehicles can have on the island's distribution grid is fundamental to achieving this goal. To determine these impacts, electrical vehicle chargers were added to the model of the island's power system in GridLad-D. Apart from these chargers, the impact of adding an extra carport charger fitted with solar panels was also determined. In total, six different charging scenarios were simulated, with each varying the period in which vehicle charging was allowed to take place. The impacts were determined for the day, afternoon, and night charging, with and without the presence of a carport. The parameters measured include system power demand, voltage, and total losses. From the results, it was possible to determine the charging strategy that causes the least and most impact on the system's distribution grid.

Recent Research and Development of Microgrids in Parana

Abstract Microgrids (MGs) have increasingly attracted the attention of researchers, government officials, and electricity companies for the values and services they can add to the grid. They can operate independently as a single controllable unit in a coordinated way while connected or islanded, which make them suitable to integrate the growing amount of distributed energy resources (DERs) into the distribution network (DN). An active distribution network with high penetration of DERs could be redefined into a collection of microgrids in different layers, pooling their resources together to enhance the grid's performance in the sense of electricity as a service. However, enabling a microgrid-based power system infrastructure poses challenges concerning operation and control. In this paper, a comprehensive overview of research topics regarding microgrid operation are shown in a hierarchical or stratified manner, looking for a holistic vision of a microgrid-based distribution system. First, multi-objective optimization within one microgrid is formulated aiming to minimize costs and maximize battery life is presented. Second, the interaction among MGs, DERs and the DN was modeled using the OPF technique to represent the operation of the grid as a whole. Following, a methodology for collaborative optimization of multiple MGs operating together is presented and at last a theoretical framework for MG operation through decentralized energy markets is discussed. As a result, this paper aims to contribute to a broad vision of the distribution system based on microgrid operation in all its levels.

Case-Based Reasoning for the Design of Start-Stop Logic of Hydroelectric Power Stations

ABSTRACT The present article focuses on the construction of an Intelligent System for the Project Start-Stop Logic of Hydropower Plants, work carried out as master dissertation, allowing the retention of knowledge of previous cases which set a valuable intellectual capital, organizing knowledge generated by specialists and consultants of the area. The tool aims at saving time as well as standardizing solutions, allowing future developments for the construction of other necessary logic (such as those related to asset management and tools to aid the operation and maintenance of hydroelectric power plants). The MyCBR, software that proved to be of easy programming, but with some limitations, is used for such an attempt of a shell of current use. The recovery of the cases based on calculations of global and local similarity allows the selection of solutions already used in hydroelectric plants with analogous technological solutions. The results were satisfactory in view of the periodicity of the use of the tool and the possibility of increasing the case base as the logics are implemented in other projects, besides allowing the inclusion of other logics and documentation pertinent to the Hydropower Plants.