Research On Power Distribution Monitoring And Early Alarming System Based On Grey Theory

As one of the basic resources,electric power has tightly relationship with people’s livelihood.It is also extremely important to social development and people’s daily life.The structure of the power system is simple,the security is high,the openness is improved,the maintenance is easy,the cost is reduced,and the real-time monitoring,is the hotspot in the field of automation.Due to limited levels of intelligence and staff costs,today’s distribution rooms still use unattended and accidentally repaired way.When a power outage and other accidents occurred,the user contact the power supply department or operation and maintenance units to repair,they did not do real-time monitoring of electricity,ahead of the forecast and early warning.It can be seen that the national grid renovation project requires a high reliability,intelligent and security solution.Under the analyzes of the current situation of distribution monitoring system about both at home and abroad,this paper propose a kind of distribution monitoring scheme based on Profibus-DP bus technology.The system can achieve real-time changes forecast about 10KV substation input current output voltage and power factor and the entire equipment control.The monitoring system is divided into three levels,named equipment layer,communication layer and decision-making level.Equipment layer is located in the lower part of the machine,it has relevant data collection and control of specific equipment,it’s core is STM32;the decision-making layer is located in the upper computer part,it can achieve the forcasting about the relevant amount of the development trend and based on the forecast results to make judgments,issued orders;the communication layer acts as a communication connection between the two parts.Meanwhile,this paper is based on that current distribution monitoring system only have alarm function.Using grey theory can make a prediction before a power accident occurs and advoid unnecessary losses.The grey state analysis is used to analyze the historical state information,create a state quantity association sequence,use GM(1,1)modeling method to model association sequence.Get the state quantity correlation prediction sequence and associated forecast values.By creating a target function and solving and finally get the state prediction value,when the warning standard is reached,it can alert timely.The dynamic early warning of the lOkV substation of the power system is realized,and the loss caused by the redundancy of the equipment is also reduced.