Optimal Allocation of Dynamic VAR Support Using Mixed Integer Dynamic Optimization

Dynamic security of power systems is a major concern during contingencies, especially in present environment when there is inadequate transmission line capacity and dynamic reactive power support. This paper addresses dynamic VAR allocation to ensure acceptable transient voltage performance and shor...

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Veröffentlicht in:	IEEE transactions on power systems Jg. 26; H. 1; S. 305 - 314
Hauptverfasser:	Tiwari, Ashutosh, Ajjarapu, Venkataramana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2011 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Branch and bound collocation method Contingency Discretization Dynamical systems Dynamics Filters Mixed integer mixed integer dynamic optimization mixed integer nonlinear problem Nonlinear dynamical systems Nonlinear dynamics Optimization Power system dynamics Power system security Power system stability Power system transients Power transmission lines Radau points Reactive power scatter search Sensitivity analysis severity index simultaneous discretization VAR Voltage
ISSN:	0885-8950, 1558-0679
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Abstract	Dynamic security of power systems is a major concern during contingencies, especially in present environment when there is inadequate transmission line capacity and dynamic reactive power support. This paper addresses dynamic VAR allocation to ensure acceptable transient voltage performance and short-term stability against severe contingency. To filter out severe contingency, severity indices are proposed. An algorithm based upon trajectory sensitivity analysis is used to select candidate VAR locations. The overall problem is formulated (in dynamic framework) as mixed integer dynamic optimization (MIDO). To solve MIDO problem, it is converted into mixed integer nonlinear problem (MINLP) by complete discretization using simultaneous discretization approach. The effectiveness of proposed approach is illustrated using New England 39-bus system.
AbstractList	Dynamic security of power systems is a major concern during contingencies, especially in present environment when there is inadequate transmission line capacity and dynamic reactive power support. This paper addresses dynamic VAR allocation to ensure acceptable transient voltage performance and short-term stability against severe contingency. To filter out severe contingency, severity indices are proposed. An algorithm based upon trajectory sensitivity analysis is used to select candidate VAR locations. The overall problem is formulated (in dynamic framework) as mixed integer dynamic optimization (MIDO). To solve MIDO problem, it is converted into mixed integer nonlinear problem (MINLP) by complete discretization using simultaneous discretization approach. The effectiveness of proposed approach is illustrated using New England 39-bus system.
Author	Tiwari, Ashutosh Ajjarapu, Venkataramana
Author_xml	– sequence: 1 givenname: Ashutosh surname: Tiwari fullname: Tiwari, Ashutosh email: ashutosh@iastate.edu organization: Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA – sequence: 2 givenname: Venkataramana surname: Ajjarapu fullname: Ajjarapu, Venkataramana email: vajjarap@iastate.edu organization: Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
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SubjectTerms	Branch and bound collocation method Contingency Discretization Dynamical systems Dynamics Filters Mixed integer mixed integer dynamic optimization mixed integer nonlinear problem Nonlinear dynamical systems Nonlinear dynamics Optimization Power system dynamics Power system security Power system stability Power system transients Power transmission lines Radau points Reactive power scatter search Sensitivity analysis severity index simultaneous discretization VAR Voltage
Title	Optimal Allocation of Dynamic VAR Support Using Mixed Integer Dynamic Optimization
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