Model predictive control-based operation management for a residential microgrid with considering forecast uncertainties and demand response strategies

This study proposes a model predictive control (MPC)-based home energy management system for residential microgrid (RM) in which all related information such as the time-varying information of the load demand, electricity price and renewable energy generations, are all taken into account. A novel fi...

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Veröffentlicht in:IET generation, transmission & distribution Jg. 10; H. 10; S. 2367 - 2378
Hauptverfasser: Zhang, Yan, Wang, Rui, Zhang, Tao, Liu, Yajie, Guo, Bo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 07.07.2016
Schlagworte:
demand forecasting
demand response strategy
demand side management
Distributed generation
distributed power generation
Economic forecasting
electrical energy storage unit
electricity price
Electricity pricing
energy management systems
finite‐horizon mixed‐integer linear programming problem
forecast uncertainty
hybrid electric vehicles
Hybrid vehicles
integer programming
iterative formulation
iterative methods
linear programming
load demand time‐varying information
Mathematical models
model predictive control‐based operation management
MPC‐based home energy management system
optimal control
plug‐in hybrid electric vehicle
power generation control
power generation economics
power grids
predictive control
pricing
renewable energy generation
renewable energy sources
Residential energy
residential microgrid
responsive electrical load
responsive thermal load
RM optimal control action
Sensitivity analysis
thermal energy storage
thermal energy storage unit
Transmissions (automotive)
iterative methods
integer programming
sensitivity analysis
plug-in hybrid electric vehicle
power generation control
linear programming
renewable energy generation
distributed power generation
model predictive control-based operation management
electrical energy storage unit
thermal energy storage
power generation economics
responsive electrical load
power grids
demand forecasting
renewable energy sources
electricity price
RM optimal control action
optimal control
finite-horizon mixed-integer linear programming problem
thermal energy storage unit
MPC-based home energy management system
responsive thermal load
forecast uncertainty
energy management systems
demand response strategy
load demand time-varying information
residential microgrid
hybrid electric vehicles
demand side management
predictive control
pricing
iterative formulation
ISSN:1751-8687, 1751-8695
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Beschreibung
Zusammenfassung:This study proposes a model predictive control (MPC)-based home energy management system for residential microgrid (RM) in which all related information such as the time-varying information of the load demand, electricity price and renewable energy generations, are all taken into account. A novel finite-horizon mixed-integer linear programming problem is iteratively formulated to investigate the optimal control actions of the RM under an MPC framework. Three case studies are conducted to discuss the technical and economic impacts of the responsive electrical and thermal loads, plug-in hybrid electric vehicles, and electrical and thermal energy storage units. Moreover, a sensitivity analysis is performed to demonstrate the superiority of the proposed approach when forecasts of related information are imperfect.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2015.1127