Research On Route Optimization And Control Algorithm For Network Node Of Intelligent Photovoltaic Power System

Photovoltaic is one of the most widely used clean energy technologies.Due to its significant role in reducing environmental pollution and ensuring energy security,photovoltaics has become one of the research hotspots in the field of new energy.How to improve the management and use efficiency of photovoltaic power plants is a subject with strong practical value but challenging.The use of wireless sensor networks to collect PV power plant operating data to achieve real-time status monitoring can effectively reduce the operation and maintenance costs of PV power plants.At present,wireless sensor networks used in intelligent photovoltaic power generation systems face two key problems: one is the complexity of network structure caused by large-scale networking;the other is caused by node-aware data types and data volume surges.Transmission efficiency.The optimization of network structure design and data transmission has become the focus of research on wireless sensor networks.At present,the problem of large-scale sensor network structure imbalance and low data transmission efficiency is gradually being studied.As a measure of spatial irregularity and filling degree,fractal dimension has been used to analyze the characteristics of complex networks such as the Internet.Based on the fractal theory,this paper proposes a new network control algorithm,which can optimize the network structure.With data transmission,the result of optimization is the reduction of node energy consumption and the extension of the network life cycle.This paper provides new ideas and methods for wireless sensor network research in intelligent photovoltaic systems.The main contents are as follows:1.Analyze the fractal characteristics of wireless sensor network structure,and prove the feasibility of using fractal dimension to study wireless sensor networks.The calculation of the dimension of wireless sensor network provides a method for quantification of complexity,which provides a basis for network optimization.By changing the parameters of nodes and networks,the complexity of network structure can be adjusted to optimize the network structure.2.Taking the energy consumption of wireless sensor network as the optimization goal,this paper proposes an improved low-energy consumption clustering algorithm(LCC algorithm).The algorithm can effectively reduce the energy consumption of network nodes and prolong the network life cycle.The LCC algorithm considers the network structure with long-term correlation and the data stream characteristics with short-time correlation,which ensures that the network has better equalization structure and transmission effect than other control algorithms at different stages.In this paper,the LCC algorithm is compared with the improved LEACH-E algorithm of LEACH and LEACH algorithm.The simulation results show that the LCC algorithm can guarantee more nodes running under the same operating conditions and time,which proves that the algorithm reaches Optimized for reducing network energy consumption.