2021
DOI: 10.1109/tia.2021.3057014
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A Novel Hybrid Home Energy Management System Considering Electricity Cost and Greenhouse Gas Emissions Minimization

Abstract: This paper proposes a multi-objective hybrid energy management system that minimizes both the electricity expenses and the household greenhouse gas emissions released due to consumption, considering the entire life cycle of the generation assets used to provide energy. The global warming potential indicator is used to decide if it is more sustainable to purchase electricity from the grid or use the household's flexible generation sources like photovoltaic panels and the energy storage system. Results prove tha… Show more

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Cited by 18 publications
(5 citation statements)
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References 23 publications
(33 reference statements)
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“…Young Joo et al presented an optimization algorithm that controls the switching of appliances to reduce monthly electricity bills while preserving a certain amount of user satisfaction based on the communication between SHEMS and consumers [179] . In [180] , a multi-objective hybrid energy management system was proposed to minimize both the electricity expenses and the household greenhouse gas emissions by considering the entire life cycle of the generation assets used to provide energy. Uncertainties of energy prices and PV generation were examined using a hybrid robust–stochastic optimization model for SHEMS in the day ahead and real-time energy market [181] .…”
Section: Energy Scheduling Controller and Optimization Techniques In ...mentioning
confidence: 99%
“…Young Joo et al presented an optimization algorithm that controls the switching of appliances to reduce monthly electricity bills while preserving a certain amount of user satisfaction based on the communication between SHEMS and consumers [179] . In [180] , a multi-objective hybrid energy management system was proposed to minimize both the electricity expenses and the household greenhouse gas emissions by considering the entire life cycle of the generation assets used to provide energy. Uncertainties of energy prices and PV generation were examined using a hybrid robust–stochastic optimization model for SHEMS in the day ahead and real-time energy market [181] .…”
Section: Energy Scheduling Controller and Optimization Techniques In ...mentioning
confidence: 99%
“…Additionally, the V2G EMS integrates an economic optimization by implementing an approach to minimise battery degradation, as well as optimising the charging/discharging operation. The strategy is based on a model that considers both calendar and cycling ageing [9].…”
Section: V2g Energy Management Systemmentioning
confidence: 99%
“…In this scenario, the efficiency of the WOA algorithm in solving the problem is evaluated by comparing it to the results of GA [36,37], PSO [38,39], and ICA [40,41] algorithms. To compare WOA performance to these algorithms, the problem is modeled without demand response.…”
Section: Scenariomentioning
confidence: 99%