Two-stage stochastic model for the price-based domestic energy management problem

Amin Shokri Gazafroudi, Miadreza Shafie-khah, Ehsan Heydarian-Forushani, Amin Hajizadeh, Alireza Heidari, Juan Manuel Corchado, João P. S. Catalão

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

Residential buildings have become an active market participant in future power grid transactions due to the development of smart grid technologies, particularly smart meters. Keeping this in mind, this paper proposes a two-stage stochastic model including day-ahead and real-time local energy markets with the aim of domestic equipment scheduling, which reflects the uncertain mobility pattern of Electric Vehicle (EV) as well as the variability of micro wind turbine generation. The contribution of EV and battery in providing additional flexibility through bi-directional energy trading has been investigated considering deterministic and stochastic EV mobility patterns. Moreover, the smart home is modeled as a price-taker agent in the local market. Hence, different price-based Demand Response (DR) programs can affect its decisions. On this basis, a comprehensive analysis on the participation of a smart home in various price-based DR strategies is carried out with the aim of determining the most effective DR program from smart home owner point of view. The obtained results reveal that the participation of the smart home in Time-of-Use (ToU) pricing scheme not only reduces the operation cost, but also leads to smart home profitability.
OriginalsprogEngelsk
TidsskriftInternational Journal of Electrical Power & Energy Systems
Vol/bind112
Sider (fra-til)404-416
Antal sider13
ISSN0142-0615
DOI
StatusUdgivet - nov. 2019

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Energy management
Stochastic models
Electric vehicles
Electric batteries
Smart meters
Wind turbines
Costs
Profitability
Scheduling

Citer dette

Gazafroudi, A. S., Shafie-khah, M., Heydarian-Forushani, E., Hajizadeh, A., Heidari, A., Corchado, J. M., & Catalão, J. P. S. (2019). Two-stage stochastic model for the price-based domestic energy management problem. International Journal of Electrical Power & Energy Systems, 112, 404-416. https://doi.org/10.1016/j.ijepes.2019.05.016
Gazafroudi, Amin Shokri ; Shafie-khah, Miadreza ; Heydarian-Forushani, Ehsan ; Hajizadeh, Amin ; Heidari, Alireza ; Corchado, Juan Manuel ; Catalão, João P. S. / Two-stage stochastic model for the price-based domestic energy management problem. I: International Journal of Electrical Power & Energy Systems. 2019 ; Bind 112. s. 404-416.
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abstract = "Residential buildings have become an active market participant in future power grid transactions due to the development of smart grid technologies, particularly smart meters. Keeping this in mind, this paper proposes a two-stage stochastic model including day-ahead and real-time local energy markets with the aim of domestic equipment scheduling, which reflects the uncertain mobility pattern of Electric Vehicle (EV) as well as the variability of micro wind turbine generation. The contribution of EV and battery in providing additional flexibility through bi-directional energy trading has been investigated considering deterministic and stochastic EV mobility patterns. Moreover, the smart home is modeled as a price-taker agent in the local market. Hence, different price-based Demand Response (DR) programs can affect its decisions. On this basis, a comprehensive analysis on the participation of a smart home in various price-based DR strategies is carried out with the aim of determining the most effective DR program from smart home owner point of view. The obtained results reveal that the participation of the smart home in Time-of-Use (ToU) pricing scheme not only reduces the operation cost, but also leads to smart home profitability.",
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author = "Gazafroudi, {Amin Shokri} and Miadreza Shafie-khah and Ehsan Heydarian-Forushani and Amin Hajizadeh and Alireza Heidari and Corchado, {Juan Manuel} and Catal{\~a}o, {Jo{\~a}o P. S.}",
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Two-stage stochastic model for the price-based domestic energy management problem. / Gazafroudi, Amin Shokri; Shafie-khah, Miadreza; Heydarian-Forushani, Ehsan; Hajizadeh, Amin; Heidari, Alireza; Corchado, Juan Manuel; Catalão, João P. S.

I: International Journal of Electrical Power & Energy Systems, Bind 112, 11.2019, s. 404-416.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

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AU - Gazafroudi, Amin Shokri

AU - Shafie-khah, Miadreza

AU - Heydarian-Forushani, Ehsan

AU - Hajizadeh, Amin

AU - Heidari, Alireza

AU - Corchado, Juan Manuel

AU - Catalão, João P. S.

PY - 2019/11

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N2 - Residential buildings have become an active market participant in future power grid transactions due to the development of smart grid technologies, particularly smart meters. Keeping this in mind, this paper proposes a two-stage stochastic model including day-ahead and real-time local energy markets with the aim of domestic equipment scheduling, which reflects the uncertain mobility pattern of Electric Vehicle (EV) as well as the variability of micro wind turbine generation. The contribution of EV and battery in providing additional flexibility through bi-directional energy trading has been investigated considering deterministic and stochastic EV mobility patterns. Moreover, the smart home is modeled as a price-taker agent in the local market. Hence, different price-based Demand Response (DR) programs can affect its decisions. On this basis, a comprehensive analysis on the participation of a smart home in various price-based DR strategies is carried out with the aim of determining the most effective DR program from smart home owner point of view. The obtained results reveal that the participation of the smart home in Time-of-Use (ToU) pricing scheme not only reduces the operation cost, but also leads to smart home profitability.

AB - Residential buildings have become an active market participant in future power grid transactions due to the development of smart grid technologies, particularly smart meters. Keeping this in mind, this paper proposes a two-stage stochastic model including day-ahead and real-time local energy markets with the aim of domestic equipment scheduling, which reflects the uncertain mobility pattern of Electric Vehicle (EV) as well as the variability of micro wind turbine generation. The contribution of EV and battery in providing additional flexibility through bi-directional energy trading has been investigated considering deterministic and stochastic EV mobility patterns. Moreover, the smart home is modeled as a price-taker agent in the local market. Hence, different price-based Demand Response (DR) programs can affect its decisions. On this basis, a comprehensive analysis on the participation of a smart home in various price-based DR strategies is carried out with the aim of determining the most effective DR program from smart home owner point of view. The obtained results reveal that the participation of the smart home in Time-of-Use (ToU) pricing scheme not only reduces the operation cost, but also leads to smart home profitability.

KW - Demand response program

KW - Domestic energy management system

KW - Energy flexibility

KW - Stochastic programming

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