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Research And Design Of An Optimized Controller For User-side Energy Storage Based On Embedded

Posted on:2022-03-09Degree:MasterType:Thesis
Country:ChinaCandidate:T L LiFull Text:PDF
GTID:2492306518471084Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of social economy and the improvement of people’s living standard,the demand for electric energy is increasing steadily.Meanwhile,the development of photovoltaic power generation and energy storage technology is becoming more and more mature,and household photovoltaic energy storage system plays an important role in promoting energy conservation and emission reduction,improving household electricity consumption mode,saving energy and developing smart grid.As the electricity consumption increases,however,the high electricity bill becomes a big problem for the household users.With the country encouraging users to install photovoltaic energy storage equipment and implementation of the time-of-use electricity price policy,there is an opportunity to reduce household electricity costs.Therefore,based on the photovoltaic energy storage system installed by users,combined with the current urban power grid,this paper studied an embedded energy storage optimization controller,which can bring higher economic benefits to users through the optimization control strategy.The energy storage optimization controller studied in this paper includes the following four aspects.In the first part,the photovoltaic energy storage system on the user side is studied,the grid-connected model of the photovoltaic energy storage system is established,and the main functions of the energy storage optimization controller in the whole system is analyzed.In the second part,based on the peak-valley electricity price difference,photovoltaic output and users’ electricity demand,a multi-objective optimization function is established under the condition of system power balance and energy storage battery constraint,and the optimal power dispatch strategy of user’s net income is obtained by using gray wolf optimization algorithm.In the third part,in accordance with the functional requirements of the energy storage optimization controller,the overall hardware structure of the controller is determined,the functions of each module are introduced,and the circuits of acquisition module,communication module,storage module and alarm module are designed.All data in the photovoltaic energy storage system are collected by the acquisition module,and data control commands are transmitted by the communication module.The storage module is used to store the collected and calculated data in real time,while the alarm module is used to monitor the data in real time to ensure the stable operation of the system.In the fourth part,the software algorithm is designed to realize the functions of the controller,and a web page platform is made to display the system data in real time,which is convenient for users to view.The embedded energy storage optimization controller studied in this paper has the characteristics of high intelligence and stable control performance.It can bring reliable economic benefits to users by reasonably controlling the charging and discharging time of energy storage batteries.
Keywords/Search Tags:Household photovoltaic, Embedded system, Time-of-use price, Economic benefit, Grey wolf optimization algorithm
PDF Full Text Request
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