A Multi-Objective Demand Side Management Considering ENS Cost in Smart Grids

Babak  Yousefi Khanghah; Saeid Ghassemzadeh; Seyed Hossein  Hosseini; Behnam  Mohammadi-Ivatloo; Amjad Anvari-Moghaddam; Josep M. Guerrero; Juan Carlos Vasquez Quintero

doi:10.1109/IECON.2017.8216009

A Multi-Objective Demand Side Management Considering ENS Cost in Smart Grids

Babak Yousefi Khanghah, Saeid Ghassemzadeh, Seyed Hossein Hosseini, Behnam Mohammadi-Ivatloo, Amjad Anvari-Moghaddam, Josep M. Guerrero, Juan Carlos Vasquez Quintero

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Abstract

In this paper a new method is presented to achieve economic exploitation and proper usage of network capacity by exerting controlling actions over flexible loads and energy storage (ES) equipment. Multi-objective planning for demand response programs (DRP) and battery management policies is carried out by considering energy not supplied (ENS). In order to achieve an optimal scheduling, charge/discharge control for batteries, demand response programs and dispatch of controllable distributed generations (DGs) are also considered. Then, the balanced cost and benefits of participants are evaluated. As a whole, the main objective of this paper is to manage the load and energy storage options in a smart grid to reduce ENS, to minimize overall operation cost and to maximize DG operators’ (DGOs) profit. These goals are obtained by considering ENS cost in a multi-objective optimization problem. Distribution company (DisCo) modifies energy cost as a signal for DGO in order to coordinate with each other. So, behavior of DGO is based on modified energy price applied by upstream system considering ENS price.

Original language	English
Title of host publication	Proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Number of pages	6
Publisher	IEEE Press
Publication date	Oct 2017
Pages	26-31
ISBN (Electronic)	978-1-5386-1127-2
DOIs	https://doi.org/10.1109/IECON.2017.8216009
Publication status	Published - Oct 2017
Event	43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China Duration: 29 Oct 2017 → 1 Nov 2017

Conference

Conference	43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Country/Territory	China
City	Beijing
Period	29/10/2017 → 01/11/2017
Sponsor	Chinese Association of Automation (CAA), Chinese Power Supply Society, et al., IEEE Industrial Electronics Society (IES), Systems Engineering Society of China, The Institute of Electrical and Electronics Engineers (IEEE)

Keywords

Smart grid
Operational planning
Demand response programs
Energy storage
Multi-objective optimization

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10.1109/IECON.2017.8216009

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Yousefi Khanghah, B., Ghassemzadeh, S., Hosseini, S. H., Mohammadi-Ivatloo, B., Anvari-Moghaddam, A., Guerrero, J. M., & Quintero, J. C. V. (2017). A Multi-Objective Demand Side Management Considering ENS Cost in Smart Grids. In Proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 (pp. 26-31). IEEE Press. https://doi.org/10.1109/IECON.2017.8216009

@inproceedings{f8402abb64ff40e7bf78b658d29d99c9,

title = "A Multi-Objective Demand Side Management Considering ENS Cost in Smart Grids",

abstract = "In this paper a new method is presented to achieve economic exploitation and proper usage of network capacity by exerting controlling actions over flexible loads and energy storage (ES) equipment. Multi-objective planning for demand response programs (DRP) and battery management policies is carried out by considering energy not supplied (ENS). In order to achieve an optimal scheduling, charge/discharge control for batteries, demand response programs and dispatch of controllable distributed generations (DGs) are also considered. Then, the balanced cost and benefits of participants are evaluated. As a whole, the main objective of this paper is to manage the load and energy storage options in a smart grid to reduce ENS, to minimize overall operation cost and to maximize DG operators{\textquoteright} (DGOs) profit. These goals are obtained by considering ENS cost in a multi-objective optimization problem. Distribution company (DisCo) modifies energy cost as a signal for DGO in order to coordinate with each other. So, behavior of DGO is based on modified energy price applied by upstream system considering ENS price.",

keywords = "Smart grid, Operational planning, Demand response programs, Energy storage, Multi-objective optimization",

author = "{Yousefi Khanghah}, Babak and Saeid Ghassemzadeh and Hosseini, {Seyed Hossein} and Behnam Mohammadi-Ivatloo and Amjad Anvari-Moghaddam and Guerrero, {Josep M.} and Quintero, {Juan Carlos Vasquez}",

year = "2017",

month = oct,

doi = "10.1109/IECON.2017.8216009",

language = "English",

pages = "26--31",

booktitle = "Proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017",

publisher = "IEEE Press",

note = "43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 ; Conference date: 29-10-2017 Through 01-11-2017",

}

Yousefi Khanghah, B, Ghassemzadeh, S, Hosseini, SH, Mohammadi-Ivatloo, B, Anvari-Moghaddam, A , Guerrero, JM & Quintero, JCV 2017, A Multi-Objective Demand Side Management Considering ENS Cost in Smart Grids. in Proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017. IEEE Press, pp. 26-31, 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 29/10/2017. https://doi.org/10.1109/IECON.2017.8216009

A Multi-Objective Demand Side Management Considering ENS Cost in Smart Grids. / Yousefi Khanghah, Babak ; Ghassemzadeh, Saeid; Hosseini, Seyed Hossein et al.
Proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017. IEEE Press, 2017. p. 26-31.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - A Multi-Objective Demand Side Management Considering ENS Cost in Smart Grids

AU - Yousefi Khanghah, Babak

AU - Ghassemzadeh, Saeid

AU - Hosseini, Seyed Hossein

AU - Mohammadi-Ivatloo, Behnam

AU - Anvari-Moghaddam, Amjad

AU - Guerrero, Josep M.

AU - Quintero, Juan Carlos Vasquez

PY - 2017/10

Y1 - 2017/10

N2 - In this paper a new method is presented to achieve economic exploitation and proper usage of network capacity by exerting controlling actions over flexible loads and energy storage (ES) equipment. Multi-objective planning for demand response programs (DRP) and battery management policies is carried out by considering energy not supplied (ENS). In order to achieve an optimal scheduling, charge/discharge control for batteries, demand response programs and dispatch of controllable distributed generations (DGs) are also considered. Then, the balanced cost and benefits of participants are evaluated. As a whole, the main objective of this paper is to manage the load and energy storage options in a smart grid to reduce ENS, to minimize overall operation cost and to maximize DG operators’ (DGOs) profit. These goals are obtained by considering ENS cost in a multi-objective optimization problem. Distribution company (DisCo) modifies energy cost as a signal for DGO in order to coordinate with each other. So, behavior of DGO is based on modified energy price applied by upstream system considering ENS price.

AB - In this paper a new method is presented to achieve economic exploitation and proper usage of network capacity by exerting controlling actions over flexible loads and energy storage (ES) equipment. Multi-objective planning for demand response programs (DRP) and battery management policies is carried out by considering energy not supplied (ENS). In order to achieve an optimal scheduling, charge/discharge control for batteries, demand response programs and dispatch of controllable distributed generations (DGs) are also considered. Then, the balanced cost and benefits of participants are evaluated. As a whole, the main objective of this paper is to manage the load and energy storage options in a smart grid to reduce ENS, to minimize overall operation cost and to maximize DG operators’ (DGOs) profit. These goals are obtained by considering ENS cost in a multi-objective optimization problem. Distribution company (DisCo) modifies energy cost as a signal for DGO in order to coordinate with each other. So, behavior of DGO is based on modified energy price applied by upstream system considering ENS price.

KW - Smart grid

KW - Operational planning

KW - Demand response programs

KW - Energy storage

KW - Multi-objective optimization

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DO - 10.1109/IECON.2017.8216009

M3 - Article in proceeding

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BT - Proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017

PB - IEEE Press

T2 - 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017

Y2 - 29 October 2017 through 1 November 2017

ER -

A Multi-Objective Demand Side Management Considering ENS Cost in Smart Grids

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