Algorithm And Application Of Of The Advanced Measurement Infrastructure Towards The Smart Grid

In recent years, with the implementation of the national smart grid strategy, the advanced measurement infrastructure of the intelligent terminal develops in the direction of high-precision, multi-functional, intelligent. On the basic of the relevant technical requirements of the smart grid, firstly, this paper introduces the theoretical basis of energy metering and analysis the energy metering which affected by harmonic; and the smart grid requires that the advanced measurement infrastructure should be able to analyze the power quality, in view of the requirements, this paper proposes instantaneous harmonic parameter estimation algorithm which applies to multi-component and non-stationary power signal; At the same time, this paper combines with the requirements of the smart grid and proposes a short-term electricity price forecasting methods that based on differential optimize the neural network; At last, this paper use a special electric power measure chip and MCU design a new advanced measuring infrastructure that towards the smart grid.The analysis of power quality is an important part of the smart grid, instantaneous harmonic parameter estimation has great significance to the research of the algorithm of the advanced measurement infrastructure and has become a research hotspot in recent years. This paper proposes instantaneous harmonic parameter estimation algorithm which applies to multi-component and non-stationar--y power signal; It is assumed that harmonic components are spaced in frequency domain, when the signal convolution with the impulse response of ideal band-pass filter, we can get the output signal of the band-pass filter and spread out it in the zero frequency, and then get the instantaneous parameters of the harmonic components, so as to realize instantaneous harmonic parameters estimation of Multi-component and non-stationary signals. Finally, the proposed method makes a simulation from three aspects that are amplitude change, frequency change and change of amplitude and frequency. The results show that the error of instantaneous amplitude estimation keeps near2%, and the error of instantaneous frequency keeps near0.5%, it is high precision and has good instantaneity, and it also can complete the instantaneous harmonic parameter estimation of the Multi-component and non-stationary signals.Smart grid ultimate goal is to improve the power supply efficiency and reduce energy losses. Accurate price forecasting provides crucial information for market participant to make reasonable competing strategies so as to maximize their benefits. So the advanced measurement infrastructure that towards the smart grid must have the function of short-term electricity price prediction. This paper analysis the existing methods and integrate the respective advantages of the differential evolution algorithm and genetic BP neural network, and then it propose a new type of short-term electricity price forecasting method, this method use the differential evolution algorithm to carry out the right value optimization for the BP neural network.moreover, it discuss the optimal combination of the electricity price impact factors through trial and error method of BP neural network, using the described method to simulate the historical electricity price data of the U.S. electricity market in January-April2007,the result shows that the relative error of the forecast electricity prices remained at less than4%, It has good usability.Finally, this paper combined with the above senior measurement algorithm and the modern electronic technology, design a new advanced measuring infrastructure that towards the smart grid. The advanced measurement infrastructure was using a special electric power measure chip and MCU. The special electric power measure chip guarantee the accuracy of the electric power measurement. The MCU and its peripheral circuit, which was realize the functions of the advanced measurement infrastructure including system upgrading, Two-way communication, LCD display, keyboard control and relay control. It is simplifies the circuit, so as to reduce the costs. It realizes household appliances intelligent power-saving and improves the efficiency of electricity; it also realizes two-way information exchange of the electricity sector and users.