Interaction correlation-based choleskey decomposition half invariant flow calculating method

• Main Authors: Guo Xiaorui, Zhou Jing, Yu Yijun, Yang Shengchun, Liu Jiantao, Yao Jianguo, Wang Gang, Feng Shuhai, Wang Ke, Zeng Dan, Shi Fei, Li Yaping, Mao Wenbo
• Format: Patent
• Language: Chinese; English
• Published: 10.08.2016
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides an interaction correlation-based choleskey decomposition half invariant flow calculating method which comprises the following steps: basic data, node injection power random distribution parameters and response participation factors are input; interaction response node injection power probability distribution and a response correlation coefficient matrix Cres are calculated; Newton-Raphson method flow calculation is conducted at new reference operating points, output variable node voltage X0 and a branch flow Z0 and sensitivity matrixes S0 and T0 are obtained; a choleskey decomposition method is adopted, and node injection power random variables in response correlation are converted into mutually independent random variables; all order half invariants of flow output variables are obtained with response correlation taken into consideration; probability distribution of the output variables is calculated via use of Gram-Charlier series. The method provided in the invention is suitable for a