Interior point method for reformulated optimal power flow model

US8977524B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8977524-B2
Application numberUS-201213413086-A
CountryUS
Kind codeB2
Filing dateMar 6, 2012
Priority dateMar 6, 2012
Publication dateMar 10, 2015
Grant dateMar 10, 2015

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Abstract

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A method for approximating an optimal power flow of a smart electric power grid includes providing a cost function that models a smart electric power grid having buses connected by branches, deriving a set of linear equations that minimize the cost function subject to constraints from an expression of an extremum of the cost function with respect to all arguments, reducing a dimension of the linear equations by solving for a subset of the linear equations, re-organizing the reduced dimension linear equations into primal and dual parts, and decomposing the re-organized reduced dimensional linear equations into two systems of block matrix equations which can be solved by a series of back substitutions. A solution of the two systems of block matrix equations yields conditions for a lowest cost per kilowatthour delivered through the smart electric power grid.

First claim

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What is claimed is: 1. A method for approximating an optimal power flow of a smart electric power grid, comprising the steps of: providing a cost function that models a smart electric power grid having N buses iε[1,N] connected by branches i,jε[1,N]×[1, N] with connection matrix R ij = { 1 , ∃ ⁢ branch ⁢ ⁢ i , j , 0 , otherwise , in terms of bus control vector u i that include voltage magnitudes V i , phase angles θ i , and shunt switch positions Q 1• , bus dependent variables vector x i that include net active x i P and reactive x i Q power injection, wherein superscripts P and Q respectively refer to the net active power injection and the reactive power injection, branch control vector u ij , that includes transformer tap selections t ij and phase shifts φ ij , and dependent branch variable vector x ij , that includes net active x ij P and reactive x ij Q power injections, constraining the bus and branch control vectors, and the bus and branch dependent variables vectors based on physical and operational requirements and actual measurements; deriving a set of linear equations that minimize said cost function subject to the constraints, from an expression of an extremum of said cost function with respect to all arguments; reducing a dimension of the linear equations by solving for a subset of the linear equations; re-organizing the reduced dimension linear equations into primal and dual parts; and decomposing the re-organized reduced dimensional linear equations into two systems of block matrix equations, wherein a solution of said two systems of block matrix equations yields conditions for a lowest cost per kilowatthour delivered through said smart electric power grid, wherein the steps of reducing a dimension of the linear equations, re-organizing the reduced dimension linear equations, and decomposing the re-organized reduced dimensional linear equations into two systems of block matrix equations are performed by a computer processor. 2. The method of claim 1 , wherein said cost function is f ⁡ ( x , u ) = ∑ i = 1 N ⁢ ⁢ [ 1 2 ⁢ x i T ⁢ V i X ⁢ x i + 1 2 ⁢ u i T ⁢ V i U ⁢ u i + S i X ⁢ x i + S i U ⁢ u i ] + ∑ i , j = 1 N ⁢ R ij · ⁢ [ 1 2 ⁢ x ij T ⁢ W ij X ⁢ x

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Classifications

  • according to an economic condition, e.g. tariff-based load management · CPC title

  • Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks · CPC title

  • Demand response systems, e.g. load shedding, peak shaving · CPC title

  • Demand response systems, e.g. load shedding, peak shaving · CPC title

  • Electricity · mapped topic

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What does patent US8977524B2 cover?
A method for approximating an optimal power flow of a smart electric power grid includes providing a cost function that models a smart electric power grid having buses connected by branches, deriving a set of linear equations that minimize the cost function subject to constraints from an expression of an extremum of the cost function with respect to all arguments, reducing a dimension of the li…
Who is the assignee on this patent?
Legbedji Motto Alexis, Duzgun Ruken, Akrotirianakis Ioannis, and 2 more
What technology area does this patent fall under?
Primary CPC classification G06Q10/04. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 10 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).