大规模风电接入后电力系统的鲁棒调峰研究

发布时间：2018-04-18 13:04

本文选题：风力发电 + 系统调峰　；参考：《长沙理工大学》2014年硕士论文

【摘要】：为解决能源紧缺和环境污染问题,风力发电以其无污染、资源丰富等优势而得到快速发展。然而,由于风能受不断变化的天气条件影响,风力发电表现出很强的间歇性、随机性、反调峰特性。随着风电大规模并网,风电功率的不确定性会使系统调峰难度增加,甚至威胁到电力系统的安全稳定运行。考虑到鲁棒优化方法无需假设随机变量的分布函数,且优化结果的稳定性好。因此,本文基于鲁棒优化理论研究了大规模风电接入后电力系统的调峰问题。风电大规模接入会导致系统的调峰需求大幅增加,抽水蓄能机组具有良好的调峰特性,为此建立考虑抽水蓄能的电力系统调峰模型。采用原始-对偶内点法对该模型进行求解。基于AMPL仿真平台,以改进的IEEE-14节点系统进行算例分析,算例表明抽水蓄能机组参与出力分配后会使系统等效负荷峰谷差率变小,减少了负荷高峰时段机组的开机数量,降低了系统的运行成本。考虑风力发电的随机特性,将风电功率的估计值与实际值之间的偏差定义为风电扰动功率。基于鲁棒优化理论,以盒式不确定集刻画风电功率的扰动范围,构建计及不确定风电出力的线路安全约束,由此提出考虑不确定风电功率的电力系统盒式鲁棒调峰模型。运用对偶原理简化该模型,将其转化为可计算的确定性非线性规划问题。最后,以改进的IEEE-14节点系统进行算例分析,算例表明当风电功率的扰动范围增大到一定程度时,为保证线路的运行安全,机组需重新分配出力,致使系统运行成本增加。进一步考虑负荷的随机性,基于鲁棒优化理论,以盒式不确定集刻画负荷和风电功率的扰动范围,构建计及不确定负荷和风电功率的线路安全约束,进而提出考虑不确定负荷和风电功率的电力系统盒式鲁棒调峰模型。并通过仿真计算得到了取不同风电功率和负荷的扰动范围时各机组出力情况和系统运行成本,从而为风电并网后电力系统的调峰问题提供了重要参考。
[Abstract]:In order to solve the problem of energy shortage and environmental pollution, wind power generation has been developed rapidly because of its advantages of no pollution and abundant resources.However, wind energy is affected by changing weather conditions, and wind power generation shows strong intermittent, randomness and anti-peak-shaving characteristics.With the large-scale grid connection of wind power, the uncertainty of wind power will increase the difficulty of peak regulation, and even threaten the safe and stable operation of power system.It is considered that the robust optimization method does not need to assume the distribution function of random variables, and the stability of the optimization results is good.Therefore, based on robust optimization theory, the peak-shaving problem of power system after large-scale wind power access is studied in this paper.The large scale access of wind power will lead to a large increase in the demand for peak-shaving of the system, and the pumped storage unit has good peak-shaving characteristics. Therefore, a peak-shaving model of power system considering pumped storage is established.The original-dual interior point method is used to solve the model.Based on the AMPL simulation platform, an example of the improved IEEE-14 node system is presented. The results show that the peak and valley difference rate of equivalent load of the system will be reduced after the pumped storage unit participates in the force distribution, and the number of units in the peak load period will be reduced.The running cost of the system is reduced.Considering the stochastic characteristics of wind power generation, the deviation between the estimated value and the actual value of wind power is defined as wind power disturbance power.Based on the robust optimization theory, the disturbance range of wind power is described by cassette uncertainty sets, and the line safety constraints considering uncertain wind power are constructed, and a box-type robust peak shaving model for power system considering uncertain wind power is proposed.The duality principle is used to simplify the model and transform it into a computable deterministic nonlinear programming problem.Finally, an example of the improved IEEE-14 node system is given. The results show that when the disturbance range of the wind power increases to a certain extent, in order to ensure the safe operation of the line, the unit needs to redistribute the force, resulting in the increase of the operating cost of the system.Considering the randomness of load further, based on the robust optimization theory, the disturbance range of load and wind power is described by cassette uncertainty set, and the line safety constraints considering uncertain load and wind power are constructed.Furthermore, a robust peak shaving model for power system with uncertain load and wind power is proposed.Through the simulation calculation, the output conditions and system operating cost of different wind power and load disturbance range are obtained, which provides an important reference for the peak-shaving problem of power system after wind power is connected to grid.
【学位授予单位】：长沙理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM614

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