Sensor Coordination Mechanism In Electric Power Area For Data Collection

A large number of wireless sensors are distributed in smart grid,collecting devices information, user information and electricity information, monitoring running state information of equipment and network to ensure the efficient, reliable and stable operation of smart grid.Coordinate of multiple sensors complete data collection business of user and device status information, monitoring information, fault information for smart grid operations more comprehensive and reliable and accurate.Research on sensor coordination mechanism in electric power area for data collection is of important theoretical and application value.Sensor collaboration will increase the quantity of data transmission in network, accelerate energy consumption of sensor nodes, and shorten the life cycle of network. So we need to study the reasonable distribution method of sensor collaboration network, in order to prolong the life cycle of sensor networks. In order to guarantee the normal operation of the sensor network at the same time, a reliable and fast fault monitoring method is needed, and after the failure, we need to recover the sensor according to certain strategy timely and effective, ensure normal collaboration capabilities.Therefore, this thesis will research on the distribution of sensor collaboration network, the sensor fault detection and recovery strategy based on sensor collaboration network in smart grid. The main contributions of this project include:1) On the issues that wireless sensors collaboration will increase the amount of data transmission and shorten the lifecycle of sensor networks,a sensor collaborative coverage algorithm for micro-grid monitoring was proposed. In different time period, this algorithm executes the construction and schedules the connecting collaborative cover to realize the efficient utilization of energy in the sensor node and prolong the life cycle of sensor network. Simulation shows that the collaborative coverage algorithm could prolong the lifecycle of the sensor network significantly with high efficiency.2) On the issues of Poor working conditions in smart grid, and sensors are easy to be failed, a sensor fault detection algorithm based on credibility and neighbor-cooperation is presented. Firstly, we establish a credibility model to determine whether nodes are suspicious. Then suspicious nodes send fault diagnosis requests to neighbor nodes based on neighbor-cooperation. The sending timing is determined by equal probability time window. Finally, we can finish classification of fault condition and state judgment based on diagnosis responds of neighbor nodes. Simulation experiments show that this algorithm can achieve higher fault detection rate with less fault diagnosis times and low data congestion probability.3) For sensor faults in the smart grid may influence monitoring and communication functions, a kind of fault recovery algorithm for WSNs in smart grid is presented. Firstly, sensor fault is classified according to the degree of influence on data monitoring and communication. Then different fault recovery methods are designed according to different fault types, and suitable alternative nodes are selected to restore the network function. Simulation results show that the proposed algorithm can realize sensor fault recovery using as little communication cost as possible, and extend the lifecycle of sensor network on the premise of ensuring coverage rate of target nodes.