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Research On Demand Response Design And Its Impact On System Reliability Under Electricity Market

Posted on:2019-10-03Degree:MasterType:Thesis
Country:ChinaCandidate:S G SongFull Text:PDF
GTID:2382330548489153Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the deepening of the reform of China's electricity market and the rapid growth of the national economy,the shortage of electricity resources needs to be solved urgently,and the reliability requirements of power system are getting higher and higher.Demand response can encourage users to change their electricity behavior through price or incentive,and to compete with the grid,and as a kind of power resources in the electricity market,which is compared with the traditional power generation side resources,demand response to the rational design of the project and the effective implementation of the user side,the power generation side brings more benefits to improve the safe and reliable operation of the grid has a positive meaning.In view of this,this paper in the electricity market environment for the response to the design of the project and its impact on the system reliability in-depth research.First of all,this paper conducts an in-depth research on the operating modes of typical foreign electricity markets(such as the US PJM electricity market and the Australian national electricity market),analyzes and summarizes the characteristics of the electricity market,and extracts the demand response projects in CAISO,NYISO,ISO-NE,PJM and AEMO management under the management of the characteristics and implementation of the situation,and through specific cases to qualitatively analyze the needs of the implementation of the project response to the impact of system reliability.Secondly,this paper discusses the basic theory of reliability evaluation of power system,and puts forward two methods to quantitatively analyze the influence of demand response project on the reliability of power generation system,that is,the stochastic production simulation of power system with analytic method and demand response method and simulation method in the non-sequential Monte Carlo simulation algorithm evaluation model,according to different algorithms to establish the corresponding demand response power generation model.Taking the IEEE RTS test system as an example,the system reliability indices LOLP,LOLE,EENS and so on were simulated by MATLAB 2014 a software programming before and after the implementation of the demand response project,and quantitatively describe the implementation of demand response projects to a certain extent,improve system reliability.Thirdly,this paper discusses the design theory of demand response program,and designs the demand response based on incentive and price program.In the process of incentive demand response program design,considering the system reliability factor while maximizing the user benefit,we combined the interruptible load model with the single-time avoidable load model and the multi-time transferable load model to construct a new Incentive demand response model.In the design process of price-based demand response program,a price-based demand response program model that accounts for user's utility and system reliability is constructed based on the theory of consumer choice in microeconomics.For a specific example,two types of demand response program models are optimized respectively by MATLAB 2014 a and a system reliability assessment program,the simulation results show that the implementation of the two types of demand response programs have some improvement on the system load curve and the system reliability index,therefore,improving the reliability of the power system while promoting the users to participate in the program.At the end of this paper,the author puts forward some suggestions on how to implement the demand response program in the electricity market environment in China under the influence of the development situation and demand response program of the typical foreign electricity market.
Keywords/Search Tags:demand response, price-based, incentive-based, power system reliability
PDF Full Text Request
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