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Title:
DATA DRIVING-BASED GRID POWER FLOW EQUATION LINEARIZATION AND SOLVING METHOD
Document Type and Number:
WIPO Patent Application WO/2019/184132
Kind Code:
A1
Abstract:
The present invention relates to the field of grid power flow calculation and the technical field of data driving, and provides a data driving-based grid power flow equation linearization and solving method. The method comprises: first establishing mapping equations from active power injection and reactive power injection to voltage phase angle and voltage amplitude according to node types of nodes of a power system, and then listing calculation expressions of power flow equation solutions according to the relations between known and unknown quantities of the node types; and proposing, according to data such as the active power injection, reactive power injection, voltage amplitude, and voltage phase angle in historical measurement data of the grid, a Bayesian linear regression method for grid power flow equation linearization in which a grid data colinearity characteristic is considered, so as to obtain the solution of a linearized power flow equation. The present invention can improve the precision of grid power flow equation calculation and facilitate reducing grid operation costs. In addition, the present invention reduces the calculation amount, improves the calculation flexibility, and better accords with the actual situations of the power system in engineering application.

Inventors:
LIU YUXIAO (CN)
ZHANG NING (CN)
WANG YI (CN)
YANG JINGWEI (CN)
KANG CHONGQING (CN)
Application Number:
PCT/CN2018/094553
Publication Date:
October 03, 2019
Filing Date:
July 04, 2018
Export Citation:
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Assignee:
UNIV TSINGHUA (CN)
International Classes:
H02J3/06
Foreign References:
CN106099984A2016-11-09
US20180048151A12018-02-15
Other References:
LIU, YUXIAO ET AL.: "Data-Driven Power Flow Linearization: A Regression Approach", IEEE TRANSACTIONS ON SMART GRID, 12 February 2018 (2018-02-12), pages 4, XP011720784
Attorney, Agent or Firm:
TSINGYIHUA INTELLECTUAL PROPERTY LLC (CN)
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