A Hierarchical Game Theoretical Approach for Energy Management of Electric Vehicles and Charging Stations in Smart Grids

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Resumé

By the proliferation of Electric Vehicles (EVs) in power systems, it is needed to manage their demand energy within a regulated market framework. From the market perspective, integration of different market players, such as the energy producers, aggregators, and loads, could complicate the system operation and management. Therefore, an appropriate model of the market, which shows the exact behavior of the system components is needed. In this paper, a new tri-level game theoretical-approach for energy management of EVs and Electric Vehicle Charging Stations (EVCSs) as independent decision makers for their energy scenarios, is proposed. To make it practical for a real power system, the system operator is also included in the proposed method as a master decision maker. Therefore, EVs’ and EVCSs’ objectives are to maximize their financial profits, while the system operator indirectly controls their energy scenarios in order to fulfill the system’s technical constraints. To do so, at the highest level of the proposed method, technical goals of the system, which are related to the system operational condition, will be followed as the objective criteria. At the second level of the designed model, the EVCSs financial objectives are optimized. In the third level of the proposed method, it is tried to minimize the EVs’ cost function. The method is tested on an IEEE 9-bus standard system, and the results show superior performance of the proposed energy management system (EMS) compared to the conventional EMS methods in terms of technical and financial objectives. In this way, it is shown that in the case of considering only one aspect of the system, either financial or technical, the other aspects of the system may not be satisfied. Hence, it is essential to consider both the financial and technical aspects of the system simultaneously, in order to operate the system optimally and securely.
OriginalsprogEngelsk
Artikelnummer8528445
TidsskriftIEEE Access
Vol/bind6
Sider (fra-til)67223 - 67234
Antal sider12
ISSN2169-3536
DOI
StatusUdgivet - nov. 2018

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Energy management
Electric vehicles
Energy management systems
Power control
Cost functions
Profitability

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title = "A Hierarchical Game Theoretical Approach for Energy Management of Electric Vehicles and Charging Stations in Smart Grids",
abstract = "By the proliferation of Electric Vehicles (EVs) in power systems, it is needed to manage their demand energy within a regulated market framework. From the market perspective, integration of different market players, such as the energy producers, aggregators, and loads, could complicate the system operation and management. Therefore, an appropriate model of the market, which shows the exact behavior of the system components is needed. In this paper, a new tri-level game theoretical-approach for energy management of EVs and Electric Vehicle Charging Stations (EVCSs) as independent decision makers for their energy scenarios, is proposed. To make it practical for a real power system, the system operator is also included in the proposed method as a master decision maker. Therefore, EVs’ and EVCSs’ objectives are to maximize their financial profits, while the system operator indirectly controls their energy scenarios in order to fulfill the system’s technical constraints. To do so, at the highest level of the proposed method, technical goals of the system, which are related to the system operational condition, will be followed as the objective criteria. At the second level of the designed model, the EVCSs financial objectives are optimized. In the third level of the proposed method, it is tried to minimize the EVs’ cost function. The method is tested on an IEEE 9-bus standard system, and the results show superior performance of the proposed energy management system (EMS) compared to the conventional EMS methods in terms of technical and financial objectives. In this way, it is shown that in the case of considering only one aspect of the system, either financial or technical, the other aspects of the system may not be satisfied. Hence, it is essential to consider both the financial and technical aspects of the system simultaneously, in order to operate the system optimally and securely.",
keywords = "tri-level game theory, Electric vehicle charging station, Energy management system, Electric vehicle",
author = "Bahram Shakerighadi and Amjad Anvari-Moghaddam and Esmaeil Ebrahimzadeh and Frede Blaabjerg and Bak, {Claus Leth}",
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A Hierarchical Game Theoretical Approach for Energy Management of Electric Vehicles and Charging Stations in Smart Grids. / Shakerighadi, Bahram; Anvari-Moghaddam, Amjad; Ebrahimzadeh, Esmaeil; Blaabjerg, Frede; Bak, Claus Leth.

I: IEEE Access, Bind 6, 8528445, 11.2018, s. 67223 - 67234.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - A Hierarchical Game Theoretical Approach for Energy Management of Electric Vehicles and Charging Stations in Smart Grids

AU - Shakerighadi, Bahram

AU - Anvari-Moghaddam, Amjad

AU - Ebrahimzadeh, Esmaeil

AU - Blaabjerg, Frede

AU - Bak, Claus Leth

PY - 2018/11

Y1 - 2018/11

N2 - By the proliferation of Electric Vehicles (EVs) in power systems, it is needed to manage their demand energy within a regulated market framework. From the market perspective, integration of different market players, such as the energy producers, aggregators, and loads, could complicate the system operation and management. Therefore, an appropriate model of the market, which shows the exact behavior of the system components is needed. In this paper, a new tri-level game theoretical-approach for energy management of EVs and Electric Vehicle Charging Stations (EVCSs) as independent decision makers for their energy scenarios, is proposed. To make it practical for a real power system, the system operator is also included in the proposed method as a master decision maker. Therefore, EVs’ and EVCSs’ objectives are to maximize their financial profits, while the system operator indirectly controls their energy scenarios in order to fulfill the system’s technical constraints. To do so, at the highest level of the proposed method, technical goals of the system, which are related to the system operational condition, will be followed as the objective criteria. At the second level of the designed model, the EVCSs financial objectives are optimized. In the third level of the proposed method, it is tried to minimize the EVs’ cost function. The method is tested on an IEEE 9-bus standard system, and the results show superior performance of the proposed energy management system (EMS) compared to the conventional EMS methods in terms of technical and financial objectives. In this way, it is shown that in the case of considering only one aspect of the system, either financial or technical, the other aspects of the system may not be satisfied. Hence, it is essential to consider both the financial and technical aspects of the system simultaneously, in order to operate the system optimally and securely.

AB - By the proliferation of Electric Vehicles (EVs) in power systems, it is needed to manage their demand energy within a regulated market framework. From the market perspective, integration of different market players, such as the energy producers, aggregators, and loads, could complicate the system operation and management. Therefore, an appropriate model of the market, which shows the exact behavior of the system components is needed. In this paper, a new tri-level game theoretical-approach for energy management of EVs and Electric Vehicle Charging Stations (EVCSs) as independent decision makers for their energy scenarios, is proposed. To make it practical for a real power system, the system operator is also included in the proposed method as a master decision maker. Therefore, EVs’ and EVCSs’ objectives are to maximize their financial profits, while the system operator indirectly controls their energy scenarios in order to fulfill the system’s technical constraints. To do so, at the highest level of the proposed method, technical goals of the system, which are related to the system operational condition, will be followed as the objective criteria. At the second level of the designed model, the EVCSs financial objectives are optimized. In the third level of the proposed method, it is tried to minimize the EVs’ cost function. The method is tested on an IEEE 9-bus standard system, and the results show superior performance of the proposed energy management system (EMS) compared to the conventional EMS methods in terms of technical and financial objectives. In this way, it is shown that in the case of considering only one aspect of the system, either financial or technical, the other aspects of the system may not be satisfied. Hence, it is essential to consider both the financial and technical aspects of the system simultaneously, in order to operate the system optimally and securely.

KW - tri-level game theory

KW - Electric vehicle charging station

KW - Energy management system

KW - Electric vehicle

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JO - IEEE Access

JF - IEEE Access

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