Method for generating a modified energy-efficient track for a vehicle
US-2024418521-A1 · Dec 19, 2024 · US
US8977524B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8977524-B2 |
| Application number | US-201213413086-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 6, 2012 |
| Priority date | Mar 6, 2012 |
| Publication date | Mar 10, 2015 |
| Grant date | Mar 10, 2015 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
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.
Opening claim text (preview).
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
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
Related publications grouped by family.
Answers are generated from the same data shown on this page.