Economic Sizing of Distributed Energy Resources for Reliable Community Microgrids

Community microgrids offer many advantages for power distribution systems. When there is an extreme event happening, distribution systems can be seamlessly partitioned into several community microgrids for uninterrupted supply to the end-users. In order to guarantee the system reliability, distributed energy resources (DERs) should be sized for ensuring generation adequacy to cover unexpected events. This paper presents a comprehensive methodology for DERs selection in community microgrids, and an economic approach to meet the system reliability requirements. Algorithms of discrete time Fourier transform (DTFT) and particle swarm optimization (PSO) are employed to find the optimal solution. Uncertainties of load demand and renewable generation are taken into consideration. As part of the case study, a sensitivity analysis is carried out to show the renewable generation impact on DERs' capacity planning.Comment: 5 pages, 6 figures, 1 table, 2017 IEEE Power & Energy Society General Meeting. arXiv admin note: substantial text overlap with arXiv:1708.0102

Evaluating microgrid effectiveness in transitioning energy portfolios

Microgrid energy systems have emerged as a potential solution to rising greenhouse gas emissions from dependence on fossil fuels. This research provides a framework for evaluating the utility of microgrids. Three key findings are presented: use of a state-of-the-art matrix (SAM) analysis to identify gaps in key research areas that inhibit wide-spread microgrid adoption, development of a system dynamics (SD) model, and a cost benefit analysis case study to evaluate microgrid feasibility in partially meeting the energy demand of a building. Governments play a central role in developing clean energy strategies. A SAM was developed to determine if key microgrid barriers to adoption defined by a state government were being addressed. The results of the study suggest that environmental and sustainability benefits had not been sufficiently addressed. Using the SAM findings, an SD model was used to evaluate the environmental and sustainability benefits of transitioning a state\u27s residential electricity portfolio. The SD model outputs suggest that fossil fuel depletion and greenhouse gas emissions would be reduced, but the financial investment would be significant. Lastly, a cost benefit analysis was conducted on a microgrid partially meeting the energy demand of a university campus building. The results demonstrated that selection of a proper discount factor and recognition of useful life are critical success factors for microgrid energy projects. Collectively, these findings provide the engineering manager with a method to evaluate the feasibility of proposed microgrid projects, the city planner with the system-level implications of a large-scale energy transition project, and the policy maker with the necessary information to develop policies that promote a clean energy future --Abstract, page iv