Study On Smart Grid AMI Key Technology Of Networked Measurement And Utilization Data Mining Of Terminal User

In the era of the smart grid, the challenge of calibration of large number of distributed fixed-installation electricity meters still remains. The marginal cost of AMI metering data acquisition and processing is very low, yet the study on mining and application of these data is still in its infancy, resulting in the idle of large number of valuable resources. The introducing of time-of-use and step tariff system makes using power efficiently out of ordinary user's ability and the skeduling problem complex only solvable to experts. AMI and smart grid with rich resources of measuring, communicating, computing and storage provide a broad platform for the problems above.This dissertation focuses on the measuring function of AMI, underlying maintainence of measuring function and high level application of AMI data mining. The dissertation covers the 4 problems below. (1) Time synchronization. As is the basic problem in distributed measuring and control system. (2) AMI remote calibration, which aimes to solve the problem of calibrating specific electricity meter. (3) Meter error mining and analysis based on AMI data, which is to screen all the meters in AMI and locate the suspicious meter. (4) Household power consumption scheduling, providing professional service of economic planning for power consumer. Solving of problem (1) is the precondition of solving other problems. (2) and (3) together ensure the measurement accurate and reliable. (3) and (4) are AMI data mining and embody the value of AMI.In the study of time synchronization, the dissertation proposes a synchronizing algorithm which is the combination of second order drift compensation (SODC) algorithm for error correcting and exponential growing linear regulation (EGLR) self adaptive algorithm. When dealing nonlinear clock drift, SODC has a minor residual error and a greater drift rejection ratio. So the SODC can enlarge the interval between clock comparisons and reduce the system overhead. EGLR reduces the system overhead in determining the interval of two clock comparison operations.In the study of AMI remote calibration system, this dissertation presents the principles and scheme for desigination a general remote calibration platform, and the construction of hardware and software. The Internet module and standard instrument are combined to be the transmiting unit. The calibration is conducted under the monitoring by the remote host through Internet. To achieve maximum versatility and get rid of the constraint of certain interface, the image character realization method is introduced. The method combines marginal distribution function feature extraction and BP neural network classification. By optimizing the general platform, the AMI remote calibration system is achieved. The system is used in the remote calibration of magnetic fields test equipment which is based on synthetic vectors and detailed in the dissertation.This dissertation develops an autonomas algorithm for relative errors of meters in tree topology, and demonstrates that, giving the premise of energy conservation, providing any meter's relative error, all the other meters'relative errors can be accomplished according to a group of meter readings. Considering the energy wastage in AMI, a revised algorithm is presented and proven to be effective by computer simulation.In the study of scheduling of household power consumption for Step and Time of Use (TOU) tariff system, this dissertation treats the problem of cost optimization of electricity as an optimization problem of function containing integration and provides the complete mathematic presentation. This dissertation proposes a hybrid optimization method which contains analysis stage and heuristic stage. An evaluation methodology is deduced to evaluate the optimization. The computer simulation demonstrates that the proposed approach can reduce the cost of electricity evidently in the sense of probability.