Advanced Demand Response Considering Modular and Deferrable Loads Under Time-Variable Rates
| Autor: | Sawsan Al Zahr, Elias A. Doumith, Philippe Forestier |
|---|---|
| Přispěvatelé: | Réseaux, Mobilité et Services (RMS), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Informatique et Réseaux (INFRES), Télécom ParisTech, Matériaux et Mécanique des Composants (EDF R&D MMC), EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
business.product_category
Computer science Energy management 0211 other engineering and technologies 02 engineering and technology 7. Clean energy Scheduling (computing) Demand response Load management 021105 building & construction Electric vehicle 0202 electrical engineering electronic engineering information engineering Optimization techniques Smart Grid ComputingMilieux_MISCELLANEOUS Consumption (economics) business.industry 020206 networking & telecommunications [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Modular design Demand Response Reliability engineering Renewable energy Demand Side Management Smart grid [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET] [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] business Efficient energy use |
| Zdroj: | GLOBECOM 2016 GLOBECOM 2016, Dec 2017, Singapour, Singapore. ⟨10.1109/GLOCOM.2017.8255068⟩ GLOBECOM |
| DOI: | 10.1109/GLOCOM.2017.8255068⟩ |
| Popis: | As the global energy policy is changing from a demand-driven to a supply-driven approach, demand side management (DSM) is becoming a key component of future energy systems. Indeed, it helps power grids' operators to balance the demand for power with intermittent renewable energy sources such as wind and solar units. DSM consists in optimizing/adapting the power consumption to meet the production through various methods such as improving the energy efficiency by using better equipment and materials, implementing demand response (DR) solutions, etc. DSM mechanisms do not necessarily reduce the total power consumption, but reshape the consumption pattern. Hence, DSM is expected to reduce the need for investments in networks and power plants in order to meet peak demands. In this paper, we propose an advanced DR solution for individual households. Considering a household equipped with various domestic loads, we aim at optimally scheduling the day-ahead power consumption under time-variable rates while taking advantage of modular and deferrable loads, e.g., electric vehicle. For this purpose, we propose an exact approach to solve the problem of energy management within a household under both system's and user's constraints. Our proposal is numerically validated through real- life scenarios, elaborated using an existing simulator of human behavior regarding power consumption. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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