A communitarian microgrid storage planning system inside the scope of a smart city
Autor: | Vitor Nazário Coelho, Haroldo Gambini Santos, Bruno Nazário Coelho, Alexandre C. Barbosa, Frederico Gadelha Guimarães, Luis Satoru Ochi, Igor Machado Coelho, Leo Pereira, Glauber C. de Oliveira, Alan Robert Resende de Freitas |
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Rok vydání: | 2017 |
Předmět: |
050210 logistics & transportation
Engineering business.product_category Scope (project management) Operations research Heuristic (computer science) business.industry 020209 energy Mechanical Engineering 05 social sciences 02 engineering and technology Building and Construction Management Monitoring Policy and Law Grid Energy storage Renewable energy Transport engineering General Energy Smart city 0502 economics and business Electric vehicle 0202 electrical engineering electronic engineering information engineering Microgrid business |
Zdroj: | Applied Energy. 201:371-381 |
ISSN: | 0306-2619 |
DOI: | 10.1016/j.apenergy.2016.12.043 |
Popis: | In this paper (a substantial extension of the short version presented at REM2016 on April 19–21, Maldives [1]), multi-objective power dispatching is discussed in the scope of microgrids located in smart cities. The proposed system considers the use of Plug-in Electric Vehicle (PEV) and Unmanned Aerial Vehicle (UAV) as storage units. The problem involves distinct types of vehicles and a community, composed of small houses, residential areas and different Renewable Energy Resources. In order to highlight possibilities for power dispatching, the optimization of three distinct goals is considered in the analysis: mini/microgrid total costs; usage of vehicles batteries; and maximum grid peak load. Sets of non-dominated solutions are obtained using a mathematical programming based heuristic (Matheuristic). By analyzing cases of study composed with up to 70 vehicles, we emphasize that PEVs and UAVs can effectively contribute for renewable energy integration into mini/microgrid systems. Smart cities policy makers and citizens are suggested to consider the proposed tool for supporting decision making for cities under development, guiding their choices for future investments on renewable energy resources. |
Databáze: | OpenAIRE |
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