Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/209347
Title: Optimal transmission switching in the stochastic linearised SCUC for uncertainty management of the wind power generation and equipment failures<?show [AQ ID=Q1]?>
Authors: Ahmad Nikoobakht;Jamshid Aghaei;Mohammad Mardaneh
Year: 2017
Publisher: IET
Abstract: This study recommends a stochastic optimisation model for the security-constrained unit commitment (SCUC), which incorporates the optimal transmission switching (OTS) for managing the uncertainty of wind power generation and equipment failures, i.e. outage unit/line. Also, this study presents a technique in stochastic SCUC model with the OTS action using the AC optimal power flow (AC-OPF). The AC-OPF provides a more accurate picture of power flow in the power system compared to the DC optimal power flow that is usually considered in the literature for the stochastic SCUC models and OTS action. While the stochastic SCUC model with the OTS action based on the AC-OPF is a mixed-integer non-linear programming model, this study transforms it into a mixed-integer linear programming (MILP) model. The MILP approach uses a piecewise linear model of the AC-OPF, which allows the reactive power and voltage to be considered directly in power flow model. This transformation guarantees achievement of a global optimal solution by the existing software and algorithms. The proposed stochastic SCUC problem is evaluated on the 6-bus and IEEE 118-bus test systems in pre- and post-transmission switching action. Obtained results demonstrate the effectiveness of the proposed model.
URI: http://localhost/handle/Hannan/209347
volume: 11
issue: 10
More Information: 2664,
2676
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7994732.pdf2.08 MBAdobe PDF
Title: Optimal transmission switching in the stochastic linearised SCUC for uncertainty management of the wind power generation and equipment failures<?show [AQ ID=Q1]?>
Authors: Ahmad Nikoobakht;Jamshid Aghaei;Mohammad Mardaneh
Year: 2017
Publisher: IET
Abstract: This study recommends a stochastic optimisation model for the security-constrained unit commitment (SCUC), which incorporates the optimal transmission switching (OTS) for managing the uncertainty of wind power generation and equipment failures, i.e. outage unit/line. Also, this study presents a technique in stochastic SCUC model with the OTS action using the AC optimal power flow (AC-OPF). The AC-OPF provides a more accurate picture of power flow in the power system compared to the DC optimal power flow that is usually considered in the literature for the stochastic SCUC models and OTS action. While the stochastic SCUC model with the OTS action based on the AC-OPF is a mixed-integer non-linear programming model, this study transforms it into a mixed-integer linear programming (MILP) model. The MILP approach uses a piecewise linear model of the AC-OPF, which allows the reactive power and voltage to be considered directly in power flow model. This transformation guarantees achievement of a global optimal solution by the existing software and algorithms. The proposed stochastic SCUC problem is evaluated on the 6-bus and IEEE 118-bus test systems in pre- and post-transmission switching action. Obtained results demonstrate the effectiveness of the proposed model.
URI: http://localhost/handle/Hannan/209347
volume: 11
issue: 10
More Information: 2664,
2676
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7994732.pdf2.08 MBAdobe PDF
Title: Optimal transmission switching in the stochastic linearised SCUC for uncertainty management of the wind power generation and equipment failures<?show [AQ ID=Q1]?>
Authors: Ahmad Nikoobakht;Jamshid Aghaei;Mohammad Mardaneh
Year: 2017
Publisher: IET
Abstract: This study recommends a stochastic optimisation model for the security-constrained unit commitment (SCUC), which incorporates the optimal transmission switching (OTS) for managing the uncertainty of wind power generation and equipment failures, i.e. outage unit/line. Also, this study presents a technique in stochastic SCUC model with the OTS action using the AC optimal power flow (AC-OPF). The AC-OPF provides a more accurate picture of power flow in the power system compared to the DC optimal power flow that is usually considered in the literature for the stochastic SCUC models and OTS action. While the stochastic SCUC model with the OTS action based on the AC-OPF is a mixed-integer non-linear programming model, this study transforms it into a mixed-integer linear programming (MILP) model. The MILP approach uses a piecewise linear model of the AC-OPF, which allows the reactive power and voltage to be considered directly in power flow model. This transformation guarantees achievement of a global optimal solution by the existing software and algorithms. The proposed stochastic SCUC problem is evaluated on the 6-bus and IEEE 118-bus test systems in pre- and post-transmission switching action. Obtained results demonstrate the effectiveness of the proposed model.
URI: http://localhost/handle/Hannan/209347
volume: 11
issue: 10
More Information: 2664,
2676
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7994732.pdf2.08 MBAdobe PDF