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Research On Optimization Algorithm Of Electric Boiler Peak Shaving Dispatching

Posted on:2021-12-06Degree:MasterType:Thesis
Country:ChinaCandidate:S H YangFull Text:PDF
GTID:2492306329485934Subject:Automation Technology
Abstract/Summary:PDF Full Text Request
Wind energy has the advantages of being clean and environmentally friendly.The use of wind power in China’s power supply system is increasing year by year.However,the use of wind energy will be accompanied by wind abandonment.In this paper,an integrated dispatching system of cogeneration of heat and power is established based on the scheme of adding electric boilers to the secondary heat network to absorb the abandoned wind.The problem of unit generation cost and the optimal scheduling of load distribution can be solved by designing an intelligent optimization algorithm,which meets the characteristics of actual problem.Accurate prediction of electrical load can ensure the effectiveness of the output of each unit in the system.Firstly,a comprehensive cogeneration dispatch system with electric boilers in the secondary heating network is established.The mechanism of wind power consumption by electric boilers is analyzed in detail.The start-stop strategy and operation constraints of electric boilers are studied.Secondly,a mathematical model of the entire dispatch system is established.The objective function of the model is determined with coal consumption.The balance of electrical and thermal loads in the system is analyzed.By calculating the equivalent electrical and thermal load of the system,it shows that the electric boiler plays an active role in the process of absorbing wind power.Thirdly,combined with the calculation examples,Lagrangian relaxation algorithm,particle swarm algorithm and genetic algorithm are used to calculate the load distribution of the system.The simulation test results show that the improved genetic algorithm has better performance in this system.It also analyzes the impact of peak shaving ratio and capacity ratio on the cost of power generation.Finally,the time-series-based auto regressive and moving average model(ARMA)and the generalized regression neural network(GRNN)are used to predict the electrical load demand of the system.It ensures the effectiveness of the system for the unit output planning for the next day.It is verified by simulation experiments that the combined heat and power dispatch system established in this paper can achieve the effect of eliminating wind and saving power generation costs.The designed algorithm can formulate a more economical load distribution strategy for the system,which can not only bring more economic benefits to the power plant,but also reduce the burning of coal,and achieve the aim of protecting the environment.
Keywords/Search Tags:Combined heat and power, Electric boiler peak shaving, Unit load distribution, Genetic algorithm, Generalized regression neural network
PDF Full Text Request
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