Research On Optimization Control Of Wireless Sensor Networks In Smart Distribution Power Grid

In recent years, Wireless Sensor Networks (WSNs) with a series of characteristics of low cost, low power consumption and ad hoc network, which making domestic experts and foreign scholars pay highly attention to its application in power system. Research on application of WSNs in smart distribution power grid is thought to have a very broad prospect. Application of high performance data communication of WSNs in smart distribution network, its essence is optimizing the performance of a stochastic process and in real-time for multi target data transmission reliability, requirements of QoS. The core is:optimizing the IEEE802.15.4 standard MAC protocol entertained of channel preemption, The data transmission service can meet the requirements of QoS without improving the network communication overhead; according to main factors which influence some nodes data transmission in real-time and reliability,construct fuzzy cognitive map model, dynamically adjust transmission power,communication rate, back off strategy, in order to satisfy the requirements of the real-time data which can be transmit in real-time and reliably.The main works can be summarized as blow:First, analysis characters of smart distribution power grid connection pattern and distribution of terminal equipment and architecture of WSNs. The architecture of global and local for smart distribution power grid WSNs has been designed; Then, A MAC protocol model based on unfair competition, which puts data sequentially transmitted in high and low queue through the node status and channel, was put forward. The simulation experiment results verify that the proposed mathematical model eliminates the effect on transmission performance caused by additional protocol communication overhead, increasing the QoS function for MAC protocol, improving the performance of data transmission. Then, this paper presents a method of smart distribution power grid WSNs data transmission modeling fuzzy cognitive map. Made qualitative analysis of the main factors affecting the data transmission performance of smart distribution power grid WSNs and constructed the fuzzy cognitive map mode. The relationship between the concepts of vertex expressed by mathematical method. A corresponding fuzzy cognitive map optimization control model of real-time and reliability of smart distribution power grid data transmission WSNs has been established. The calculation method of according to the attributes of vertex attributes adjust the network parameter variable values has been put forward. Then we made simulation experiment for proposed optimized control algorithm. Compared with other two algorithms in the same simulation environment. The comparison results show that the proposed better than other algorithms in QoS of data transmission. The proposed algorithm in this paper is feasible and effective. At last, the hardware and software platform for WSNs smart distribution power grid has been detailedly designed in this paper. Then constructed a small distributed wireless sensor network in the laboratory. The proposed method is tested in this paper. The feasibility of the algorithm has been verified.According to the results of simulation and test, the research on the theory for application made data communication of smart distribution power grid reach data transmission QoS performance targets. High-performance data of smart distribution power grid been transported, which is real-time and reliable.