Font Size: a A A

Research On Optimal Operation Method Of AC/DC Hybrid Microgrid Considering Wind And Photovoltaic Power Uncertainties

Posted on:2022-08-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q CaiFull Text:PDF
GTID:2492306566977709Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The AC/DC hybrid microgrid combines the advantages of the AC microgrid and the DC microgrid to ensure the diversified demand of elec tricity power users.However,as the intermittent energy sources respresented by the wind power and photovoltaic power are connected to the microgrid,the ob vious fluctuation and intermittent of its output have brought challenges to the optimal operation of microgrid,which is likely to cause the large day-ahead dispatch deviation of microgrid.Therefore,the optimal operation of AC/DC hybrid microgrid taking into account the uncertainty of intermittent energy sources has important research value.This paper studies the optimal operation of AC/DC hybrid microgrid taking into account the uncertainty of wind power and photovoltaic power.The background and significance of the uncertainty optimization model of hybrid microgrid are described,and the decription of the uncertainty of intermittent energy sources and the research status of the optimization operation of microgrid are introdecrd.The model of the uncertainty of intermittent energy sources is established.On one hand,the solar irradiation is regarded as a stochastic variable subject to Beta diatribution,and the stochastic model of photovoltaic power is established according to the relationship between photovoltaic power and solar irradiation.On the other hand,the wind speed is defined as a random fuzzy variable,and the random fuzzy model of wind power is established based on the relationship between the output power of wind turbines and wind speed.The energy consumption cost of power generation and the carbon trading cost are taken as the objective function,and random fuzzy chance constrained optimization model to minimizing the day-ahead dispatch cost is establiahed.The random fuzzy simulation,neural network and chaotic particle swarm optimization algorithm are combined to solve the dual-uncertainty optimization model.By setting three scenarios: deterministic,stochastic and random fuzziness,the day-ahead dispatch schedule and the intra-day unbalanced power adjustment program of the three scenarios are analyzed.The correctness and feasibility of the random fuzzy dual-uncertainty model in the optimal operation of AC /DC hybrid microgrid are verified.At the same time,carbon trading costs with different weights are set,so as to obtain an economic and low-carbon AC-DC hybrid microgrid optimization operation plan.
Keywords/Search Tags:hybrid AC/DC microgrid, dual-uncertainty, random fuzzy variable, chance constraints, hybrid intelligent algorithm
PDF Full Text Request
Related items