Fuzzy-neural network double closed-loop control method of electric energy quality comprehensive controller

• Main Authors: SHUAI ZHIKANG, PAN HONGBIN, XIAO FAN, TU CHUNMING, CHU LANG, ZHANG YANG, DAI XIAOZONG, JIANG LING, YAO PENG
• Format: Patent
• Language: Chinese; English
• Published: 12.12.2012
• 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; REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGYGENERATION, TRANSMISSION OR DISTRIBUTION; SYSTEMS FOR STORING ELECTRIC ENERGY; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS; TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINSTCLIMATE CHANGE

The invention discloses a fuzzy-neural network double closed-loop control method of an electric energy quality comprehensive controller, wherein the electric energy quality comprehensive controller is provided and comprises an active filter, a fixed capacitor, and a thyristor control reactor, which are sequentially and parallelly connected between a power grid and loads connected with the power grid. According to the fuzzy-neural network double closed-loop control method of the electric energy quality comprehensive controller, disclosed by the invention, fuzzy control and neural network control are combined with an injection type active power filter to carry out harmonic inhibition; simultaneously, the fuzzy control and neural network control are acted on an SVC (static var compensator) consisting of the TCR (thyristor control reactor) and the FC (fixed capacitor), the SVC is controlled and reactive dynamic compensation is realized; and simultaneously, by guiding a double closed-loop control policy, the optim