Power system load modeling method based on electric energy quality monitoring system

• Main Authors: HUANG DONGQI, YIN JIANHUA, AI QIAN
• Format: Patent
• Language: Chinese; English
• Published: 14.03.2012
• Subjects: CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; ELECTRICITY; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERATION; INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ONOTHER TECHNOLOGY AREAS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORKOPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FORIMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION,DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS

The invention relates to a power system load modeling method based on an electric energy quality monitoring system, belonging to the field of power system measurement and load model identification. The method comprises the following steps of: acquiring power grid disturbance data by utilizing the electric energy quality monitoring system, carrying out data processing including smoothing filtering and zero shill rectifying; taking a ZIP static load model connected in parallel with a three-order induction motor model as a dynamic load model by using an asymmetric disturbance data load modeling method; identifying the model by using an improved clonal selection algorithm; verifying the fitting condition of model output power and actually measured load power under different fault conditions, and outputting an MI card and a fitting curve according to a BPA (Brushless permanent magnet) motor. In the invention, data are acquired by utilizing the electric energy quality monitoring system, the problem of data sources