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Load management in a residential energy hub with renewable distributed energy resources
Highlights Home load management (HLM) is implemented in a multi-carrier energy environment. Impacts of CHP, solar panels, V2G, and ESS presence are investigated on the HLM. Results of proposed HLM are reported for winter and summer days. Impacts of prevalent residential electricity pricings on HLM are investigated.
Abstract This paper presents a residential energy hub model for a smart multi-carrier energy home consisting of plug-in hybrid electric vehicle (PHEV), combined heat and power (CHP), solar panels, and electrical storage system (ESS). The energy hub inputs are electricity and natural gas that provide electrical and heat demands at the output ports. In this paper, an optimization-based program is proposed to determine the optimal operation mode of the energy hub, to manage the energy consumption of responsive appliances, to schedule charging/discharging of PHEV and the storage system, and to coordinate solar panels operation with household responsive demand in response to day-ahead time-varying tariffs of electricity. The objective function is to minimize customer payment cost considering vehicle to grid (V2G) capability. Different case studies are conducted to probe the effectiveness of the proposed method and study the impacts of different electrical time-differentiated tariffs on the optimization results on daily and yearly basis.
Load management in a residential energy hub with renewable distributed energy resources
Highlights Home load management (HLM) is implemented in a multi-carrier energy environment. Impacts of CHP, solar panels, V2G, and ESS presence are investigated on the HLM. Results of proposed HLM are reported for winter and summer days. Impacts of prevalent residential electricity pricings on HLM are investigated.
Abstract This paper presents a residential energy hub model for a smart multi-carrier energy home consisting of plug-in hybrid electric vehicle (PHEV), combined heat and power (CHP), solar panels, and electrical storage system (ESS). The energy hub inputs are electricity and natural gas that provide electrical and heat demands at the output ports. In this paper, an optimization-based program is proposed to determine the optimal operation mode of the energy hub, to manage the energy consumption of responsive appliances, to schedule charging/discharging of PHEV and the storage system, and to coordinate solar panels operation with household responsive demand in response to day-ahead time-varying tariffs of electricity. The objective function is to minimize customer payment cost considering vehicle to grid (V2G) capability. Different case studies are conducted to probe the effectiveness of the proposed method and study the impacts of different electrical time-differentiated tariffs on the optimization results on daily and yearly basis.
Load management in a residential energy hub with renewable distributed energy resources
Rastegar, Mohammad (author) / Fotuhi-Firuzabad, Mahmud (author)
Energy and Buildings ; 107 ; 234-242
2015-07-11
9 pages
Article (Journal)
Electronic Resource
English
Residential energy hub , Home load management , Plug-in hybrid electric vehicle , Renewable distributed energy resources , CHP , combined heat and power , DR , demand response , DER , distributed energy resource , EV , electric vehicle , HLM , home load management , IBR , inclining block rate , PHEV , plug-in hybrid electric vehicle , RDER , renewable distributed energy resource , TOU , time of use
Load management in a residential energy hub with renewable distributed energy resources
Online Contents | 2015
|Taylor & Francis Verlag | 2017
|Unbalanced Active Distribution Analysis with Renewable Distributed Energy Resources
BASE | 2015
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