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Research On Optimal Operation Of Energy Storage Participating In High Proportional Wind Power Integration Based On Reliability Evaluation

Posted on:2019-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y R WuFull Text:PDF
GTID:2382330572995304Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In recent years,the demand for electricity has grown steadily,and the penetration of wind resources in the power system has been increasingly strengthened.The randomness of wind power has brought a number of negative impacts on the planning of power system planning and dispatching operations,it is necessary to reasonably use energy storage to enhance system reliability.The reliability of the power system is closely related to the start and stop plan.How to properly consider the randomness of wind power and give full play to the role of energy storage,in order to formulate a reasonable unit start-stop plan,the significance of improving wind power consumption and system economical and reliable operation should not be underestimated.First,the measured data of a typical region in a southern province of China are selected.Based on the theory of big data mining and uncertainty,the characteristics of wind power in the region at different time scales of the year,season,and day are comprehensively extracted to obtain wind power output characteristics.Based on this,Based on this,the reliability index of the power system is obtained through the combination of the Monte Carlo method and the equivalent energy function method and give a high degree of assessment of reliability of wind power access power system,so as to respectively season and season The typical days are time scales to study the system reliability before and after wind power access and different wind power penetration access power systems.Secondly,it is possible to understand several kinds of energy storage types that are more widely used,and to determine the energy storage reliability assessment model,and to re-evaluate the power system reliability assessment process that considers energy storage.The two basic characteristics of storage energy storage capacity and charge-discharge efficiency are mainly considered to improve the degree of system reliability,and calculate the power system reliability index in each scene with seasons and seasonal typical days as the time scales,thus illustrating the contribution of energy storage to the reliability of high-scale wind power systems.Finally,based on the third chapter,considering the randomness of the wind power and the full play of energy storage,and establishing the optimization model of the operation unit combination of the wind storage system considering the reliability of the power system,thus making a reasonable unit start stop plan.This model takes the total power generation cost of the system as the objective function,and considers a series of traditional constraints including energy storage related constraints.Based on the conditions,the probability of loss of load was introduced to measure the reliability of the system.It is divided into three different scenes to carry out the optimization simulation analysis of the unit combination,and the total cost of power generation under different start-up and shutdown plans is given.The simulation results show that the power system with high proportion of wind power is in a better running environment with better economic and reliability under the positive role of energy storage.The thesis proposes a method to use the energy storage to enhance the reliability of the system,aiming at the threat brought by the high proportion of wind power grid connection to the reliable operation of the power system.Considering the wind turbine system combined optimization operation and formulating a reasonable unit generating and starting and stopping plan,it has a certain reference value for the research of reliable and economic operation and planning of power system including large-scale wind power.
Keywords/Search Tags:wind power, energy storage system, reliability evaluation, probabilistic production simulation, unit commitment
PDF Full Text Request
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