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  5. Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power
 
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Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power

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Author(s)
Rabiee, Abbas 
Soroudi, Alireza 
Mohammadi-Ivatloo, Behnam 
Parniani, Mostafa 
Uri
http://hdl.handle.net/10197/6115
Date Issued
November 2014
Date Available
07T09:01:10Z November 2014
Abstract
This paper proposes a new approach for corrective voltage control (CVC) of power systems in presence of uncertain wind power generation and demand values. The CVC framework deals with the condition that a power system encounters voltage instability as a result of severe contingencies. The uncertainty of wind power generation and demand values is handled using a scenario-based modeling approach. One of the features of the proposed methodology is to consider participation of demand-side resources as an effective control facility that reduces control costs. Active and reactive redispatch of generating units and involuntary load curtailment are employed along with the voluntary demand-side participation (demand response) as control facilities in the proposed CVC approach. The CVC is formulated as a multi-objective optimization problem. The objectives are ensuring a desired loading margin while minimizing the corresponding control cost. This problem is solved using $epsilon$-constraint method, and fuzzy satisfying approach is employed to select the best solution from the Pareto optimal set. The proposed control framework is implemented on the IEEE 118-bus system to demonstrate its applicability and effectiveness.
Type of Material
Journal Article
Publisher
Institute of Electrical and Electronics Engineers
Journal
IEEE Transactions on Power Systems
Volume
29
Issue
6
Start Page
2965
End Page
2973
Copyright (Published Version)
2014 Institute of Electrical and Electronics Engineers
Keywords
  • Demand response (DR)

  • Loading margin (LM)

  • Scenario-based approa...

  • Voltage control

  • Voltage security

  • Wind power generation...

DOI
10.1109/TPWRS.2014.2316018
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Electrical and Electronic Engineering Research Collection
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131
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Feb 6, 2023
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