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A probabilistic energy management scheme for renewable-based residential energy hubs

Rastegar, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/TSG.2016.2518920
  3. Abstract:
  4. This paper proposes a new framework for home energy management (HEM) in the context of renewable-based residential energy hub using a probabilistic optimization approach. Different energy converters and storages, including combined heat and power, a plug-in hybrid electric vehicle, a heat storage unit, solar panels, and generic household appliances, are considered in the energy hub. The customer's energy cost is considered as the objective of the HEM optimization problem and different operational limits of the energy hub components are modeled as the constraints. The two-point estimate method is incorporated in this paper to model the uncertainty associated with output power of the rooftop solar panels. Numerical results are provided to demonstrate the performance of the proposed approach. © 2010-2012 IEEE
  5. Keywords:
  6. Heat storage unit ; Home energy management ; Residential energy hub ; Solar panels ; Two-point estimate method ; Domestic appliances ; Energy management ; Heat storage ; Heating ; Housing ; Hybrid vehicles ; Optimization ; Plug-in electric vehicles ; Solar cell arrays ; Solar concentrators ; Uncertainty analysis ; Combined heat and power ; Energy management schemes ; Home energy managements ; Optimization problems ; Plug in hybrid electric vehicles ; Probabilistic optimization ; Rooftop solar panels ; Two-point estimate methods ; Plug-in hybrid vehicles
  7. Source: IEEE Transactions on Smart Grid ; Volume 8, Issue 5 , 2017 , Pages 2217-2227 ; 19493053 (ISSN)
  8. URL: https://ieeexplore.ieee.org/document/7398127