WO2011112365A3 - Efficient security-constrained optimal power flow (sc opf) analysis using convexification of continuos variable constraints within a bi-level decomposition scheme - Google Patents

Efficient security-constrained optimal power flow (sc opf) analysis using convexification of continuos variable constraints within a bi-level decomposition scheme Download PDF

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Publication number
WO2011112365A3
WO2011112365A3 PCT/US2011/026157 US2011026157W WO2011112365A3 WO 2011112365 A3 WO2011112365 A3 WO 2011112365A3 US 2011026157 W US2011026157 W US 2011026157W WO 2011112365 A3 WO2011112365 A3 WO 2011112365A3
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WO
WIPO (PCT)
Prior art keywords
convexification
opf
analysis
power flow
optimal power
Prior art date
Application number
PCT/US2011/026157
Other languages
French (fr)
Other versions
WO2011112365A2 (en
Inventor
Andrey Torzhkov
Amit Chakraborty
Original Assignee
Siemens Corporation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens Corporation filed Critical Siemens Corporation
Priority to EP11712704.3A priority Critical patent/EP2545487A4/en
Publication of WO2011112365A2 publication Critical patent/WO2011112365A2/en
Publication of WO2011112365A3 publication Critical patent/WO2011112365A3/en

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Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/06—Power analysis or power optimisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

A scheme is presented that utilizes the convexification of continuous variables in the modeling of the Security-Constrained Optimal Power Flow (SC-OPF) problem to create discrete variables that allow for column-generation tools to be used in the solution of the SC OPF problem. One such relation is the voltage law relation for AC branch control flows, and the convexification utilizes a complex plane representation to create a convex solution of discrete values that can be used to perform a feasibility analysis of the various contingency cases. As a result of the convexification, analysis tools, such as column-generation decomposition associated with discrete variables are available for use in solving the SC OPF problem and increase the efficiency and accuracy of the solution.
PCT/US2011/026157 2010-03-09 2011-02-25 Efficient security-constrained optimal power flow (sc opf) analysis using convexification of continuos variable constraints within a bi-level decomposition scheme WO2011112365A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP11712704.3A EP2545487A4 (en) 2010-03-09 2011-02-25 Efficient security-constrained optimal power flow (sc opf) analysis using convexification of continuos variable constraints within a bi-level decomposition scheme

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US31180410P 2010-03-09 2010-03-09
US31180310P 2010-03-09 2010-03-09
US61/311,804 2010-03-09
US61/311,803 2010-03-09

Publications (2)

Publication Number Publication Date
WO2011112365A2 WO2011112365A2 (en) 2011-09-15
WO2011112365A3 true WO2011112365A3 (en) 2011-11-17

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2011/026157 WO2011112365A2 (en) 2010-03-09 2011-02-25 Efficient security-constrained optimal power flow (sc opf) analysis using convexification of continuos variable constraints within a bi-level decomposition scheme

Country Status (2)

Country Link
EP (1) EP2545487A4 (en)
WO (1) WO2011112365A2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
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CN107565566A (en) * 2017-08-15 2018-01-09 清华大学 A kind of convex optimization method of Optimal Power Flow Problems

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WO2012061674A2 (en) * 2010-11-04 2012-05-10 Siemens Corporation Stochastic state estimation for smart grids
CN102801165B (en) * 2012-08-13 2014-07-16 清华大学 Automatic voltage control method considering static security
CN104167729B (en) * 2014-08-05 2016-08-17 广西电网有限责任公司 A kind of power system small interference stability optimum corrective control and method
CN105048446B (en) * 2015-01-13 2017-11-03 国电南瑞科技股份有限公司 Meter and the online preventive control Synthetic Decision Method of multiclass safety and stability constraint
CN115438522B (en) * 2022-11-08 2023-03-24 清华大学 Optimal power flow modeling method for urban rail transit hybrid direct-current traction power supply system

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US2703208A (en) * 1951-07-28 1955-03-01 Clinton H Tasker Dispensing device
US5963447A (en) * 1997-08-22 1999-10-05 Hynomics Corporation Multiple-agent hybrid control architecture for intelligent real-time control of distributed nonlinear processes
US6069894A (en) * 1995-06-12 2000-05-30 Telefonaktiebolaget Lm Ericsson Enhancement of network operation and performance
US20040015461A1 (en) * 2002-07-13 2004-01-22 Lo James Ting-Ho Risk-averting method of training neural networks and estimating regression models
US6775597B1 (en) * 1998-05-13 2004-08-10 Siemens Power Transmission & Distribution Security constrained optimal power flow method
US20060104495A1 (en) * 2004-11-18 2006-05-18 Pascal Cathier Method and system for local visualization for tubular structures
US20080077368A1 (en) * 2006-04-12 2008-03-27 Edsa Micro Corporation Automatic real-time optimization and intelligent control of electrical power distribution and transmission systems

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JP4570095B2 (en) * 2006-05-31 2010-10-27 財団法人電力中央研究所 Loop controller installation method and loop controller installation position determination program
US7991512B2 (en) * 2007-08-28 2011-08-02 General Electric Company Hybrid robust predictive optimization method of power system dispatch

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US2703208A (en) * 1951-07-28 1955-03-01 Clinton H Tasker Dispensing device
US6069894A (en) * 1995-06-12 2000-05-30 Telefonaktiebolaget Lm Ericsson Enhancement of network operation and performance
US5963447A (en) * 1997-08-22 1999-10-05 Hynomics Corporation Multiple-agent hybrid control architecture for intelligent real-time control of distributed nonlinear processes
US6775597B1 (en) * 1998-05-13 2004-08-10 Siemens Power Transmission & Distribution Security constrained optimal power flow method
US20040015461A1 (en) * 2002-07-13 2004-01-22 Lo James Ting-Ho Risk-averting method of training neural networks and estimating regression models
US20060104495A1 (en) * 2004-11-18 2006-05-18 Pascal Cathier Method and system for local visualization for tubular structures
US20080077368A1 (en) * 2006-04-12 2008-03-27 Edsa Micro Corporation Automatic real-time optimization and intelligent control of electrical power distribution and transmission systems

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107565566A (en) * 2017-08-15 2018-01-09 清华大学 A kind of convex optimization method of Optimal Power Flow Problems

Also Published As

Publication number Publication date
WO2011112365A2 (en) 2011-09-15
EP2545487A4 (en) 2015-09-16
EP2545487A2 (en) 2013-01-16

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