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Research On Multi-time Scale Energy Management Strategy Of Microgrid With P2G

Posted on:2022-08-31Degree:MasterType:Thesis
Country:ChinaCandidate:C CaoFull Text:PDF
GTID:2492306566975969Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
The rapid development of new energy is facing a serious problem of energy consumption.In the context of a low-carbon economy,the Power to Gas(P2G)technology with the ability to abandon wind,abandon light and absorb energy is an important supporting technology for the microgrid system to achieve clean and low-carbon utilization of energy.In the optimization of microgrid energy management,coupling and coordination of multiple energy systems through P2 G technology can increase the consumption rate of renewable energy.This paper takes the home-type microgrid with P2 G as the background,and deeply studies the practical significance of multi-time scale dispatching method for improving energy efficiency and precise dispatching of the microgrid.The main research work of this paper includes:(1)Design the overall architecture of the household microgrid with P2 G and establish a model of each unit of the microgrid considering P2 G technology;establish mathematical models for wind turbines,photovoltaic generators,micro gas turbine units,P2 G equipment,batteries,and gas storage tanks,and use ETP models to describe the thermodynamic dynamics of radiant floor heating systems.For the needs of residential users,Monte Carlo is used to simulate residential characteristic curve of electricity and air load.(2)Establish the objective function and constraint conditions for the optimization of microgrid energy management considering P2 G technology;in the day-ahead economic dispatch,the microgrid economy,user comfort and environmental friendliness were used as the objective function,and the power of the microgrid tie line and the optimization results convergence is the objective function in the intra-day.Constraint conditions such as power balance,gas balance and equipment performance are established.NSGA-Ⅱoptimization algorithm and multi-time scale optimization method are used to solve the best scheduling plan.(3)Using calculation examples to analyze multi-time scale optimization of microgrid with P2G;establish day-ahead optimized scheduling scenarios with P2 G and without P2 G,and analyze the impact of the two scenarios on the wind curtailment rate,microgrid operation economics,user comfort,environmental friendliness,and energy scheduling through calculation examples;comparison of the effect of multi-time scale scheduling strategy and day-ahead scheduling strategy on the stability of microgrid operation.Through modeling and simulation analysis of the P2G-containing microgrid system,the results prove that the microgrid with P2 G can effectively alleviate the phenomenon of wind and solar abandonment,improve energy efficiency,system economy and user comfort.The optimized algorithm can make each device better adapt to changes in daily energy power,improve the accuracy of scheduling,reduce the fluctuation of the power of the microgrid tie line,and effectively improve the stability of the microgrid system containing P2 G.
Keywords/Search Tags:Microgrid, P2G, NSGA-Ⅱ optimization algorithm, multi-time scale optimization
PDF Full Text Request
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