Abstract
| Original language | English |
|---|---|
| Title of host publication | IEEE proceeding : 28th International Symposium on Industrial Electronics (ISIE) |
| Number of pages | 6 |
| Pages | 1-6 |
| Publication status | Submitted - 28 Feb 2019 |
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Keywords
- Smart energy management system
- model predictive control
- uncertainties
- plug-in electric vehicle
- Photovoltaic Array
Cite this
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Smart Energy Management System for Residential Homes Regarding Uncertainties of Photovoltaic Array and Plug-in Electric Vehicle. / Yousefi, Mojtaba; Kianpoor, Nasrin; Hajizadeh, Amin; N. Soltani, Mohsen.
IEEE proceeding: 28th International Symposium on Industrial Electronics (ISIE). 2019. p. 1-6.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
TY - GEN
T1 - Smart Energy Management System for Residential Homes Regarding Uncertainties of Photovoltaic Array and Plug-in Electric Vehicle
AU - Yousefi, Mojtaba
AU - Kianpoor, Nasrin
AU - Hajizadeh, Amin
AU - N. Soltani, Mohsen
PY - 2019/2/28
Y1 - 2019/2/28
N2 - smart energy management approaches can improve the economy and performance of residential homes integrated with photovoltaic array (PV) and plug-in electric vehicle (PEV). The key novelty of this paper is improving the real-time operation of the smart home using advanced stochastic forecast techniques and stochastic control methods. In this paper, an optimal model predictive control is formulated for a smart home to minimize the electricity cost under time-varying electricity price signals. In addition, the PEV charging and home power demand requirements have to be satisfied in a smart and optimal way. Stochastic forecast model is developed for PV, home load demand and PEV to consider the effect of the different uncertainties on their performance. Furthermore, a fundamental trade-off between PEV lithium-ion battery aging and economic performance of the energy management system is implemented through an appropriate cost function formulation. In this paper, the EV departure time and required energy consumption during driving are modeled by Markov chain and conditional probability. In addition, the PV performance and home load demand are modeled by PVWatt model and adaptive neuro-fuzzy inference system (ANFIS) respectively. Afterward, an MPC is designed to minimize the cost of energy as well as make increase the lifetime of the PEV battery by avoiding unnecessary charging/discharging schemes. The results demonstrate the effectiveness and enhancement of the proposed method.
AB - smart energy management approaches can improve the economy and performance of residential homes integrated with photovoltaic array (PV) and plug-in electric vehicle (PEV). The key novelty of this paper is improving the real-time operation of the smart home using advanced stochastic forecast techniques and stochastic control methods. In this paper, an optimal model predictive control is formulated for a smart home to minimize the electricity cost under time-varying electricity price signals. In addition, the PEV charging and home power demand requirements have to be satisfied in a smart and optimal way. Stochastic forecast model is developed for PV, home load demand and PEV to consider the effect of the different uncertainties on their performance. Furthermore, a fundamental trade-off between PEV lithium-ion battery aging and economic performance of the energy management system is implemented through an appropriate cost function formulation. In this paper, the EV departure time and required energy consumption during driving are modeled by Markov chain and conditional probability. In addition, the PV performance and home load demand are modeled by PVWatt model and adaptive neuro-fuzzy inference system (ANFIS) respectively. Afterward, an MPC is designed to minimize the cost of energy as well as make increase the lifetime of the PEV battery by avoiding unnecessary charging/discharging schemes. The results demonstrate the effectiveness and enhancement of the proposed method.
KW - Smart energy management system
KW - model predictive control
KW - uncertainties
KW - plug-in electric vehicle
KW - Photovoltaic Array
M3 - Article in proceeding
SP - 1
EP - 6
BT - IEEE proceeding
ER -