Traditional grid-following wind turbines lack active voltage support capabilities, while grid-forming units, adopting voltage source self-synchronizing control methods, possess the ability to autonomously establish voltage and frequency. Hybrid grid-following/grid-forming wind power stations can achieve both voltage stability and efficient power generation in wind farm aggregation areas, representing a key paradigm for constructing new-type power systems. However, significant differences exist between grid-following and grid-forming wind turbines in terms of response mechanisms, control modes, and support characteristics. The response coupling during dynamic regulation processes makes balanced reactive power and voltage control in hybrid wind farms particularly challenging. To address these challenges, this paper first analyzes the control structures and regulation characteristics of grid-following/grid-forming units, clarifying applicable scenarios for different device types. Subsequently, it investigates the reactive power-voltage distribution characteristics and voltage support requirements in wind farms, proposing a reactive power allocation strategy for hybrid wind farms that coordinates turbine terminal voltage control with smooth system-wide voltage regulation. This strategy achieves balanced voltage control across the wind farm. Finally, a simulation test platform for hybrid grid-following/grid-forming wind farms is established, validating the effectiveness of the proposed strategy.

Since crack damage of wind turbine (WT) blades is easy to occur and difficult to find, online monitoring of blade crack damage is carried out by collecting and analyzing blade vibration signals. Firstly, based on the theory of working modal analysis, an online identification method of blade modal parameters based on transmissibility is constructed, and a blade vibration physical experiment platform is built for the experimental verification of the method. By comparing the experimental results with the traditional hammer excitation method, the accuracy of the method is verified. Then, with a 5 MW WT as an example, the blade crack damage fault is simulated, and the damage fault characteristics are obtained through working modal analysis. Finally, blade vibration signals, modal parameters, and WT operation data are fused into multi-source data sets, and blade crack damage fault diagnosis is performed based on the LightGBM algorithm. The diagnosis results show that the LightGBM algorithm can achieve a better diagnosis effect than the conventional machine learning algorithm, and the accuracy of the diagnosis algorithm can be significantly increased by integrating blade modal parameters into the data set, so as to improve the accuracy of online monitoring of blade crack damage.

针对风电场风速预测准确度不高的问题,提出一种基于风速波动特征提取的超短期风速预测方法.首先建立风速-风速变化量联合概率密度模型,分析风速的不确定性特征;根据风速波动特征,应用集合经验模态分解(EEMD)和风速分量样本熵(SampEn)值,将风速分解重组为波动量和趋势量;应用人工鱼群算法(AFSA)优化小波神经网络(WNN)进行趋势量预测;应用改进非线性自回归(INARX)神经网络对风速波动量进行预测,进而得到预测风速.通过实际风电场风速仿真预测,并与多种预测方法对比,表明该预测方法预测结果误差较小,可准确地进行超短期风速预测.

An improved particle swarm optimization (PSO) algorithm is proposed to solve the problems of low power prediction accuracy and high randomness of PV power generation. In the first place, by changing the inertia weight and learning factor and concept of the hybrid genetic algorithm is introduced into the particle swarm optimization algorithm, determine the initial weight of the Elman neural network, establish Elman neural network, then using day feature vector selection and forecasting meteorological features high similarity of date, determine the main meteorological factors affecting the photovoltaic output, meteorological data and electricity generation are used as training sets of Elman neural network, prediction model is established. Finally, the simulation results show that the model is superior to the Without optimization Elman neural network, has higher prediction accuracy, and shows good stability and generalization ability.

The control strategy of reactive power and voltage, communication between systems and the performance of the single device will affect the performance of the reactive and voltage control of the field station. On the basis of one million kilowatts of wind power base in the past three years the actual operation data and field test data, firstly analyzes the status of the wind farm without the system voltage and reactive power control system, introduces the current voltage and reactive power control system architecture and common control strategy; secondly from the station of reactive power and voltage control of the process, clarify the key factor effect of terminal voltage and reactive power control performance; the final form of the promotion of wind farm reactive voltage control performance and operation level of the measures, which is verified.

风电场无功电压控制策略、各分系统间通信、单体设备性能等各个环节都将影响场站无功电压控制性能。依据某千万千瓦级风电基地近三年来的实际运行数据及现场检测数据,首先分析了风电场无功电压控制系统现状,系统介绍了目前无功电压控制系统架构及常用控制策略;其次从场站无功电压控制流程入手,阐明了影响场站无功电压控制性能的关键因素;最后形成了提升风电场无功电压控制性能及运行水平的措施,并进行了实例验证。

我国风电大规模汇集地区多处于电网末端,电压波动性强,随着对风电并网安全的关注和风电机组并网性能要求的提高,低电压穿越能力已成为衡量风电机组并网性能的重要指标.文章调研了同一区域内多个风电场实际运行中的低电压穿越故障情况,分析了整机制造厂家、高校及相关研究机构对风电机组低电压穿越技术的研究现状.通过分类统计测试过程中遇到的风电机组低电压脱网故障和总结56台风电机组的低电压穿越测试结果,分析了造成风电机组低电压穿越能力不足的原因,并对引起风电机组低电压穿越能力不足的影响因素进行了阐述.目前,软件版本控制、保护定值的设置与管理、硬件的维护水平已经成为并网风电机组低电压穿越能力的主要影响因素.

风力发电作为一种随机性、波动性、反调节性的新能源电源形式,随着其电网渗透率逐年攀升,给电网安全调度运行带来了安全隐患,尤其电网峰谷时段的调峰工作受到了安全性和经济性的双重压力。以提升风电场功率预测准确率、降低电网安全运行风险为出发点,综合分析了影响短期功率预测水平的技术因素和非技术管理因素,提出了预测水平提升的关键举措措施,并以实际工作案例为样本,验证了预测水平提升关键举措措施的有效性和实用性。

This paper analyzes the transient process of a DFIG based wind turbine in detail during general grid voltage swell conditions, especially the symmetrical voltage swell cases. And the key points influencing the turbines' high voltage ride-through (HVRT) capability is then evaluated. Furthermore, a HVRT control scheme, based on the resonant control, is put forward, which can meet the grid codes' reactive current requirement. Both the simulation and experimental results show that the proposed control scheme can accelerate the attenuation of the dc and negative sequence stator fluxes, and thus reduce the fluctuations in the active/reactive power, the electromagnetic torque and the dc link voltage. As a result, a smooth HVRT process can be obtained, which is meaningful to the turbines' safety.

聚焦于风电场有功功率控制性能实测技术研究,梳理了风电场有功功率控制系统架构,提出了基于卫星授时方法的风电场有功功率控制性能测试技术,以某风电场为实例,利用本文所提的测试方法,对风电视组和整场的有功功率控制性能进行了测试,验证了所提方法的有效性.

Wind power has been the most rapid developed new energy power form in recent years, its volatility, intermittent, and randomness have serious impact on the safe operation of power grid. Therefore the accurate prediction of the wind power is an important safeguard and reference to guide the new energy power system. Based on principal component analysis (PCA) and entropy method (EM), the paper expands the traditional single evaluation index and proposes a new comprehensive evaluation index. The results of the experiment show that this index is scientific and comprehensive, and can eliminate the human factor on index weight distribution.

风电场配置动态无功补偿装置可以有效提升风电汇集地区无功电压控制水平,但实际运行中,无功补偿装置存在运行可靠性差、动态响应时间不满足要求等问题,未能有效发挥其动态无功支撑能力.通过开展无功补偿装置性能检测,针对检测中发现的运行可靠性差、动态响应时间不满足要求、电能质量不合格等问题提出有效的整改措施.实践表明,通过开展无功补偿装置性能检测,可有效提升装置技术性能,保障风电汇集系统安全稳定运行、提升风电消纳能力.

国家风光储输示范电站集风力发电、光伏发电和储能于一体,通过220 kV智能变电站将可再生能源发出的电能输送到电网.风光储全景监测与综合控制技术是风光储电站的关键技术之一,文中介绍了全景监测与综合控制系统的建设目标、建设内容及体系结构,全面分析了该系统的主要功能和技术特点,并结合实际运行结果对有功控制效果进行分析及验证.实际运行结果表明,全景监测与综合控制技术有利于风电、光伏发电等大规模新能源友好并网.

风电机组的电网电压故障穿越能力是风机重要的并网性能评价指标.随着风机低电压穿越能力的深入研究,电网电压骤升成了威胁风机安全运行的因素.为了研究双馈风电机组在电网电压骤升下的特性及不脱网运行控制策略,分析了电网电压骤升时双馈感应发电机的电磁暂态过渡过程.结合现场运行风电机组的实际特性,提出一种易于工程实现的双馈风电机组高电压穿越控制策略.该控制策略不需更改原风机一次回路结构,只对双馈风机的发电机侧控制逻辑进行修改,即可实现双馈风电机组在电网电压骤升时不脱网运行,保障机组安全与电网稳定.最后通过仿真验证了控制策略的可行性.

可再生能源发电的快速持续发展,有赖于一个有效的可再生能源激励政策体系的形成.但由于可再生能源利用的高成本,以及可再生能源的环境价值无法用货币体现,天然的可再生能源电力市场并不存在.文章介绍了基于市场化条件的英国可再生能源发展的政策机制,以英国可再生能源激励机制为例,重点分析了配额制、竞价制和上网电价补贴三种体制.最后,结合英国可再生能源电力市场经验,提出了完善我国可再生能源激励政策的启示.

针对电网电压骤升对双馈风机带来的危害,提出了几种高电压穿越的改进方法.通过PSCAD仿真验证了改进方法的有效性,并结合工程实际指出改进方法的利弊.

随着我国电网中风电穿透率的不断提高，大规模风电接入对电网稳定运行的影响已不容忽视。近年来我国风电场大规模连锁脱网事故具备“低电压+高电压”的特点，对风电机组电网故障穿越能力的一体化测试需求也日益迫切。针对目前国内风电检测机构高电压穿越测试能力不足的现状，本文详细介绍了一种风电机组高低电压穿越一体化测试系统的设计与制造方案。测试系统基于变压器形式实现，采用副边绕组多抽头设计的特殊变压器，应用了基于晶闸管固态开关切换技术，可模拟实现0～1.4p.u.的三相、两相和单相电压骤升和跌落功能，具有快速柔性切换和网源友好性特点。截至目前，已经应用该系统在国内多座风电场进行了风电机组低电压、高电压穿越能力的现场试验。

Inter-turn short circuit in rotor winding is the most common fault for turbogenerator rotors,this paper introduce some different testing methods to find,determine and locate the inter-turn short fault,especially by RSO.It can be a helpful reference to such faults.

Generator parameters are the important basis for the power system simulation.Accurate generator parameters should be obtained to improve the grid operation safety and stability.The principle of load rejection method was introduced.The generator transient process under load rejection condition was theoretically analyzed.Based on time-domain simulation technology and load rejection method,a novel method to identify synchronous generator parameters was proposed.Field tests were conducted by using the proposed load rejection method;and the experimental results were analyzed.The time-domain generator simulating models were established according to the field experimental conditions.By comparing the results of simulations and experiments,generator parameters can be identified.The comparison results also show that the identified parameters are more accurate,which validates the effectiveness of proposed method.