지능적 대기전력 시스템 제어를 위한 신호 분석 및 모델링

Abstract

First reason for generation of standby power is because starting voltage must pass through from the source of electricity to IC. The second reason is due to current when IC is in operation. Purpose of this abstract is on structures of simple modules that automatically switch on or off through analysis of recognition of state on standby power and analysis of shutoff point patterns as well as application of intelligent algorithms. To achieve this, this paper is based on analysis of electric signals and modeling. Also, on/off shutoff criteria has been established for reduction of standby power. State of standby power could be construed as initial value or coefficient below initial value of inflow to household electrical appliances via electrial plugs. However, circuit characteristics vary for different manufacturers of same type. In addition, there is no standard for value of electricity that can be defined as standby power. In some cases, it is very difficult to determine automatic on/off shutoff point due to signal characteristics and usage patterns for household appliances. To find the on/off shutoff point, therefore, the subtraction value was calculated between 1^(st) SCS and 2^(nd) SCS. Then the median value for sampling coefficient per second from electric plug inflow was defined as an important parameter to be followed by pre-processing. In addition, similar group and leading pattern group generation algorithm was developed to analyze patterns in the standby power state. FCM (Fuzzy C-mean) algorithm was also applied so that such algorithm could encompass periodicity such as recognition, exploration, generation and discovery of leading patterns. That is, determination is made whether or not valid data exists within arbitrary segment in given time interval before simplifying patterns. Upon simplifying patterns, similar group G that is newly generated and group G' which contains leading groups are generated among total coefficients. These total group G and leading pattern G' are used to find target values and suitability diagrammatic chart. Improved differential algorithm is then executed for prompting them to evolve into improved objects. Reconstruction of group G' which contains such generated leading patterns is effective for finding shutoff point within arbitrary time interval. To analyze results of shutoff point that can be found within arbitrary time interval, bootstrap variance method and confidence interval were applied for presenting basis of finding. Input data used for study and evaluation purposes was also assessed on their significance as data after output. Additionally, mapping algorithm was performed for electric current and power values based on proposed signal analysis and modeling. Calculation was made on amount of usage by different times of day for average power usage by household appliance types that could realistically be used in households. The result was expressed in Watts which represent the amount of savings in electricity if automatic shutoff was used at the point of standby power.