DocumentCode :
88256
Title :
Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power
Author :
Rabiee, Abdorreza ; Soroudi, Alireza ; Mohammadi-Ivatloo, Behnam ; Parniani, Mostafa
Author_Institution :
Dept. of Electr. Eng., Univ. of Zanjan, Zanjan, Iran
Volume :
29
Issue :
6
fYear :
2014
fDate :
Nov. 2014
Firstpage :
2965
Lastpage :
2973
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 ε-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.
Keywords :
Pareto optimisation; constraint theory; cost reduction; demand side management; fuzzy systems; power generation control; power generation dispatch; power generation economics; voltage control; wind power plants; ε-constraint method; CVC approach; IEEE 118-bus system; Pareto optimal set; control cost reduction; corrective voltage control; demand side resource; fuzzy satisfying approach; involuntary load curtailment; loading margin; multiobjective optimization problem; power demand value uncertainty handling; power system control; reactive generating units redispatch; scenario-based modeling approach; voltage instability; voluntary demand side participation; wind power generation uncertainty handling; Load modeling; Power system stability; Probabilistic logic; Reactive power; Voltage control; Wind power generation; Demand response (DR); loading margin (LM); scenario-based approach; voltage control; voltage security; wind power generation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2014.2316018
Filename :
6803089
Link To Document :
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