Research On Optimization And Security Control Of Electric Power Wireless Private Network In The Environment Of Ubiquitous Power Internet Of Things

In recent years,the global energy consumption structure has been facing an essential shift from non-renewable energy sources such as fossil and petroleum to renewable energy sources such as wind and solar energy.From the supply side to the demand side,the rapid development of new business models such as distributed photovoltaics and electric vehicles,Prompting the State Grid Corporation of China to propose a strategy of building a ubiquitous power Internet of Things/smart grid.From a technical point of view,the ubiquitous power Internet of Things is the "second network" with the characteristics of holographic perception of the grid status and efficient processing of grid data;in particular,the power wireless private network has gradually become the realization of the ubiquitous power Internet of Things due to its flexibility.One of the key technologies for comprehensive coverage and operation of terminal-side collection components and power facilities.However,with the explosive growth of the types and numbers of ubiquitous power Internet of Things services,its rapid increase in communication demand is in line with the unreliable communication channels,bandwidth/capacity/delay and other network performance that are common in power wireless 4G private networks.The restrictions are contradictory and cannot better carry the existing and future emerging businesses of the ubiquitous power Internet of Things.Therefore,studying the optimization and security control of power wireless private network under the ubiquitous power Internet of Things environment has important research significance and application value.This paper conducts related research on the optimization and security control of power wireless private network under the ubiquitous power Internet of Things environment,establishes a power wireless private network 4G/5G base station planning model,and realizes the power wireless private network base station planning based on an improved genetic algorithm The layout is optimized,and finally,an enhanced multi-sampling time fuzzy switching control method for nonlinear systems under unreliable communication channels is proposed.Specifically,the main research work of the thesis is as follows:First,analyze the essential reasons why the communication transmission capacity of the power wireless 4G private network is difficult to carry part of the ubiquitous power Internet of Things business under the background of the continuous advancement of the construction of the ubiquitous power Internet of Things;consider the business needs,economics and forward-looking principles of the ubiquitous power Internet of Things with comprehensive influencing factors such as bandwidth,delay,and capacity,5G communication technologies with greatly improved network performance are introduced to achieve full coverage of power Internet of Things business modules,and establish an optimization model for power wireless private network 4G/5G base station planning.Secondly,based on the above-mentioned optimization model of the 4G/5G base station planning problem of the electric power wireless private network,considering that the basic genetic algorithm is directly applied to the optimization problem of the power wireless private network base station,it may fall into a local optimal solution,low efficiency,etc.,combined with problems Features An improved genetic algorithm is designed.At the same time,it is verified through a calculation example that the improved genetic algorithm has good search capabilities,which can meet the planning characteristics and coverage of the power wireless private network base station while ensuring that the construction cost of the power wireless private network base station is as low as possible,and finally realized The optimized layout of the 4G/5G base stations of the electric power wireless private network can provide technical support for the site selection of the power wireless private network base station under the ubiquitous power Internet of Things environment.Finally,taking into account the inevitable packet loss in the large-scale communication and transmission process of the power wireless private network,a T-S fuzzy control system model with unreliable communication channels is established,and a model with 2r types(r is the fuzzy rule number of the fuzzy control system)is established.)An enhanced multi-sampling time fuzzy switching controller with possible switching modes;by separately introducing and assigning exclusive control gain variables for all possible switching modes in the controller,more freedom of control design can be introduced,and the control system is significantly improved The adaptability of communication transmission quality of unreliable communication channels;the validity and advancement of the proposed method are verified by numerical simulation.