Demand side load management using a three step optimization methodology
| Autor: | Gerard J.M. Smit, M.G.C. Bosman, Vincent Bakker, Albert Molderink, Johann L. Hurink |
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| Přispěvatelé: | Discrete Mathematics and Mathematical Programming |
| Rok vydání: | 2010 |
| Předmět: |
Building management system
Engineering Mains electricity business.industry 020209 energy 020206 networking & telecommunications 02 engineering and technology Grid 7. Clean energy Industrial engineering IR-74637 Load management Smart grid EWI-18819 13. Climate action Distributed generation METIS-271137 0202 electrical engineering electronic engineering information engineering Electricity business Simulation Efficient energy use |
| Zdroj: | First IEEE International Conference on Smart Grid Communications (SmartGridComm 2010), 431-436 STARTPAGE=431;ENDPAGE=436;TITLE=First IEEE International Conference on Smart Grid Communications (SmartGridComm 2010) |
| DOI: | 10.1109/smartgrid.2010.5622082 |
| Popis: | In order to keep a proper functional electricity grid and to prevent large investments in the current grid, the creation, transmission and consumption of electricity needs to be controlled and organized in a different way as done nowadays. Smart meters, distributed generation and -storage and demand side management are novel technologies introduced to reach a sustainable, more efficient and reliable electricity supply. Although these technologies are very promising to reach these goals, coordination between these technologies is required. It is therefore expected that ICT is going to play an important role in future smart grids. In this paper, we present the results of our three step control strategy designed to optimize the overall energy efficiency and to increase the amount of generation based on renewable resources with the ultimate goal to reduce the CO2 emission resulting from generation electricity. The focus of this work is on the control algorithms used to reshape the energy demand profile of a large group of buildings and their requirements on the smart grid. In a use case, steering a large group of freezers, we are able to reshape a demand profile full of peaks to a nicely smoothed demand profile, taking into the account the amount of available communication bandwidth and exploiting the available computation power distributed in the grid. |
| Databáze: | OpenAIRE |
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