Small-Signal Stability Analysis of Wind Power System Based on DFIG

This paper focuses on the small-signal stability of power system integrated with DFIG-based wind farm. The model of DFIG for small-signal stability analysis has built;the 3-generator 9-bus WECC test system is modified to investigate the impacts of large scale integration of wind power on power system small-signal stability. Different oscillatory modes are obtained with their eigenvalue, frequency and damping ratio, the results from eigenvalue analysis are presented to demonstrate the small-signal stability of power system is enhanced with the increasing output of the wind farm.

Inner Mongolia builds up world's class wind power generation farm

The first phase project of Huitengxile Wind Power Generation Farm in Inner Mongolia, with nine 600 kW wind power generators installed, was formally put into commercial operation on November 28,

Providing Frequency Support of Hydro-Pumped Storage to Taiwan Power System with Wind Power Integration

The combination of wind and pumped storage is a useful method to compensate the fluctuation of wind power generation, which would exploit the abundant wind potential and increase wind power penetration. Taiwan Power Company (TPC) develops renewable energy actively in recent years. Moreover, TPC has started planning a high penetration wind power system and building offshore wind farms around the coast of Zhangbin, Yunlin and Penghu. The target of the offshore wind power installed capacity is up to 3 GW by 2025. However, the integration of the large scale of wind power would give huge challenges to the system operator because wind is randomly characterized. In this study, after high penetration wind power is integrated, the impacts of system frequency and the dispatch of conventional units will be discussed. Additionally, the hybrid system combing wind power with pumped-storage will be planning to reduce the effect of system frequency.

A Review of Power Electronics for Wind Power

The paper reviews the power electronic applications for wind energy systems.Main wind turbine systems with different generators and power electronic converters are described.The electrical topologies of wind farms with power electronic conversion are discussed.Power electronic applications for improving the performance of wind turbines and wind farms in power systems have been illustrated.

Achievements and Prospects of Wind Power Prediction

Wind power prediction is crucial to the operation of the power system accommodating a large amount of wind power. From the perspective of power dispatch, this paper discusses the current situations of the technology, system building, prediction errors, the index for evaluating wind power prediction system and the main bodies responsible for the prediction. It delves into the existing problems such as incomplete basic data, poor prediction accuracy, short prediction time scale, as well as lacking of prediction in most wind farms. Suggestions on improvement are proposed including enhancing the construction of wind power prediction system on both the grid side and the wind farm side, speeding up the development of ultra-short term wind power prediction system, deepening the research on wind power prediction technology, strengthening the construction of technical standard system and carrying out cross-sector cooperation.

考虑海缆实际载流量的海上风电集电系统拓扑优化

海缆实际载流量是海缆选型的重要依据,在海上风电场集电系统拓扑优化中,考虑不同敷设区段海缆载流量存在的差异以及海缆多回路并联敷设时磁热效应对载流量的影响,对保障集电系统的安全性具有重要意义。首先,采用模糊C均值算法对风机进行聚类分区,将集电系统拓扑优化分解为分区内、外拓扑优化。然后,在分区内采用基于Voronoi图的拓扑搜索算法进行求解;在分区外拓扑优化中,考虑海缆瓶颈区段、回路数对载流量的影响,构建混合整数非线性优化模型,线性化后采用优化求解器GUROBI进行求解。最后,以某实际风电场为例进行仿真验证。结果表明,所提模型能保证海缆实际载流量始终大于海缆工作电流,可有效保障集电系统的安全性。

考虑新能源场站间相互作用的宽频振荡特性研究

相对于单源并网系统,以风光为代表的多源并网系统由于场站间相互作用的存在,使得系统的宽频振荡分析变得更加复杂。针对新能源场站间相互作用参与的宽频振荡问题,该文首先采用图形化建模方法建立系统的小信号模型并进行仿真验证,接着通过特征值分析法进行宽频振荡模式分析,找出风电场与光伏电站共同参与的交互模式,进一步采用阻抗法研究新能源场站间相互作用并进行影响因素分析。研究结果表明,新能源场站间的相互作用取决于场站等值导纳的相对大小及相位,新能源场站的并网距离及出力比均会对场站间相互作用产生影响从而影响系统交互模式,通过分析新能源的不同位置和运行工况下的交互作用规律可对大规模新能源接入及运行提供一定指导。

基于同步型ADMM的含海上风电场电力系统分布鲁棒无功优化

大规模海上风电的出力具有很强的随机性和波动性,增大了电力系统无功电压控制的难度。为此,首先基于Kullback-Leibler散度衡量海上风电场风速的真实概率分布与参考概率分布间的距离,构建风速概率分布模糊集。然后,同时考虑输电网和海上风电场的运行约束,建立含海上风电场电力系统的分布鲁棒无功优化模型。为了在计算过程中保持输电网与海上风电场信息的私秘性,基于同步型的交替方向乘子法对输电网和海上风电场区域进行空间解耦,将原集中式优化模型分解为各区域对应的子模型并进行分布式迭代求解。其中,各区域的子模型为多层模型,通过在分布式算法中嵌入列与约束生成算法来迭代求解。最后,在含2个海上风电场的IEEE 39节点系统上进行算例分析。结果表明,所建立模型的决策结果能够在考虑海上风速不确定性的前提下,有效降低系统网损和电压偏差。

风电场接入系统方案研究

在“碳达峰、碳中和”的目标下,清洁可再生能源占所有能源的比重将越来越大,其中风力发电作为成熟的技术之一扮演重要的角色。为解决风电场可靠地并入电网,实现清洁能源远距离输送和优势资源互补,提出风电场接入系统方案细化。通过一次接入方案中增加承载力计算风能消纳、计及储能的短路电流、新能源多场站短路比等计算和分析,减轻风电能源不稳定性对电网的影响,实现电网安全稳定运行,充分发挥风电清洁属性;最后将上海某陆上风电场接入系统作为应用实例。

基于物联网的五凌电力风电场智能锁控系统的建设应用

随着全球能源危机的加剧和环境污染问题的日益严重,风能作为一种清洁、可再生的能源,越来越受到重视。风电场作为风能的主要利用场所,其安全性和稳定性对于保障电力系统的正常运行具有重要意义。文章针对五凌电力风电场智能锁控系统进行了深入研究,探讨了物联网在风电场智能锁控系统中的应用,为提高风电场的安全性和稳定性提供了理论依据和实践指导。

双馈感应式风电场电网友好型功率控制系统技术改造

当前我国电网新能源装机渗透率高,迫切需要光伏电站、风电场深度参与电网调峰、调压,为此分析目前双馈感应式风电场功率控制系统结构复杂、功能重叠、信息传递环节多、故障率高、控制策略落后的现状,论证双馈感应式风电场进行电网友好型功率控制系统技术改造的必要性、可能性,提出包括优化系统结构、改进控制策略、简化通信网络、充分发挥双馈风电机组优良的有功/无功控制能力等各项改进措施,并以双馈感应式风电场功率控制系统技术改造实例加以说明,同时对新能源电站是否必须加装无功补偿装置进行讨论。性能验收试验表明,改造后的风电场功率控制系统无需配置无功补偿装置,其各项技术指标优于国家技术标准。该项技术的应用有利于电网的安全、稳定、经济运行,在新建风电场推广可降低造价昂贵的一次性投资,减少运行损耗,具有一定的社会效益和经济效益。

基于双锁相环的海上风场综合惯量调频策略研究

海上风电作为构建以新能源为主体的新型电力系统的重要组成部分将在沿海城市迅速发展,大规模海上风电并网将大幅削减系统惯量,降低频率抗扰能力。为此,提出基于双锁相环的海上风场综合惯量控制策略。首先,从理论上分析了锁相环对风机虚拟惯量的影响机理,探究了参数变化下风机惯量支撑能力和系统频率响应特性;其次,通过分析锁相环参数变化对风机一次调频能力的消极影响,提出基于变参数-快速双锁相环的海上风场综合惯量调频策略;最后,通过仿真验证所提调频策略的有效性。结果表明,综合惯量控制策略在频率响应快速性、抑制测量噪声等方面均具有显著优势。

Optimized dispatch of wind farms with power control capability for power system restoration

As the power control technology of wind farms develops,the output power of wind farms can be constant,which makes it possible for wind farms to participate in power system restoration.However,due to the uncertainty of wind energy,the actual output power can’t reach a constant dispatch power in all time intervals,resulting in uncertain power sags which may induce the frequency of the system being restored to go outside the security limits.Therefore,it is necessary to optimize the dispatch of wind farms participating in power system restoration.Considering that the probability distribution function(PDF)oftransient power sags is hard to obtain,a robust optimization model is proposed in this paper,which can maximize the output power of wind farms participating in power system restoration.Simulation results demonstrate that the security constraints of the restored system can be kept within security limits when wind farm dispatch is optimized by the proposed method.

基于PMU实测数据的DFIG风电场等值模型鲁棒性与适应性分析

对传统聚合方法无法解决风电场长期运行过程中产生的参数变化问题,该文基于实测数据建立双馈感应发电机(DFIG)风电场详细等值模型与初始化方法,分析时变参数的轨迹灵敏度,提出首先将非时变参数固定为聚合值,然后利用风电场公共并网点相量测量单元(PMU)数据针对时变参数采用基因学习粒子群(GLPSO)混合算法进行参数辨识的策略。采用WECC标准算例分析不同风速、尾流效应、部分风电机组离线、风速未知、不同短路故障位置与电压暂降深度情形下等值模型的鲁棒性与适应性。仿真算例表明所提出的参数辨识方法全局寻优能力远高于标准粒子群与遗传算法。而且,对于高灵敏度参数,参数辨识结果与真实值的最大偏差小于10%,远优于目前技术水平。

大型海上风电场一体化电力系统暂态稳定性研究

控制风电场一体化电力系统的暂态稳定性,可以提高海洋风电场的工作效率,降低运营成本,提高发电产能,因此迫切需要研究大型海上风电场一体化电力系统暂态稳定性。分析电力系统机械转矩特性以及稳态电路电流负荷特性,明确影响电力系统暂态不稳定的因素。建立暂态稳定性标准,使用等面积定则对电力系统暂态稳定性进行分析,并针对不稳定现象提出控制方案。实验结果表明,短路故障会造成功率波动,由功率波动引起频率振荡,使系统无法稳定运行,通过安装频率稳定设备能够很好地提高大型海上风电场一体化电力系统暂态稳定性。

计及邻近风电场信息与CNN-BiLSTM的短期风电功率预测

高精度的短期风电功率预测对保障电力系统安全至关重要,因此提出了一种计及邻近风电场信息与CNNBiLSTM的短期风电功率预测方法,在深度学习预测建模环节除了采用目标风电场的NWP作为输入特征,还引入了邻近风电场的高相关特征。首先综合风速序列、功率序列间的相关性和距离,计算区域内各邻近风电场和目标风电场的复合相似度,并依据相似度排序选择高度相似的邻近风电场作为信息来源;再采用CEEMDAN频域信号分解和时间序列特征扩充构造高维特征集合,并引入浮动搜索特征选择算法对强相关特征进行优选;最后基于被选核心特征,开展基于CNN-BiLSTM深度神经网络的功率预测建模。算例结果表明,相较不引入邻近风电场信息的传统预测方法,所提方法能有效提升预测精度。