A Control Strategy for Smoothing Active Power Fluctuation of Wind Farm with Flywheel Energy Storage System Based on Improved Wind Power Prediction Algorithm

The fluctuation of active power output of wind farm has many negative impacts on large-scale wind power integration into power grid. In this paper, flywheel energy storage system (FESS) was connected to AC side of the doubly-fed induction generator (DFIG) wind farm to realize smooth control of wind power output. Based on improved wind power prediction algorithm and wind speed-power curve modeling, a new smooth control strategy with the FESS was proposed. The requirement of power system dispatch for wind power prediction and flywheel rotor speed limit were taken into consideration during the process. While smoothing the wind power fluctuation, FESS can track short-term planned output of wind farm. It was demonstrated by quantitative analysis of simulation results that the proposed control strategy can smooth the active power fluctuation of wind farm effectively and thereby improve power quality of the power grid.

A PV powered shunt active power filter for power quality improvement

This paper deals with power quality improvement using a three-phase active power filter(APF) connected to a PV power system. A direct power control(DPC) approach is proposed to eliminate harmonic current caused by any nonlinear loads and at the same time guarantees the delivery of a part of the load request from the same PV source. A boost converter is used for maximum power point(MPP) tracking purposes under various climate conditions through a fuzzy logic technique. The suggested study is tested under a MATLAB/Simulink environment. The obtained results depict the efficacy of the proposed procedures to meet the IEEE 519-1992 standard recommendation on harmonic levels.

Design and Application of Wind Power Peak Control Technology

Wind power control technology is an important part of intelligent control in wind farms. By the automatic calculation and implementation of control strategy, problems such as imprecise of manual control scheduling, slow adjust rate, heavy workload, etc. have been solved. It can improve the capacity of wind power grid, and it also has the important meaning to the safe and stable operation of power grid. This paper introduces wind power control system from certain aspects such as control mode, control principle, and so on.

Hierarchical Cluster Coordination Control Strategy for Large-scale Wind Power Based on Model Predictive Control and Improved Multi-time-scale Active Power Dispatching

The grid-connection of large-scale and high-penetration wind power poses challenges to the friendly dispatching control of the power system.To coordinate the complicated optimal dispatching and rapid real-time control,this paper proposes a hierarchical cluster coordination control(HCCC)strategy based on model predictive control(MPC)technique.Considering the time-varying characteristics of wind power generation,the proposed HCCC strategy constructs an improved multitime-scale active power dispatching model,which consists of five parts:formulation of cluster dispatching plan,rolling modification of intra-cluster plan,optimization allocation of wind farm(WF),grouping coordinated control of wind turbine group(WTG),and real-time adjustment of single-machine power.The time resolutions are sequentially given as 1 hour,30 min,15 min,5 min,and 1 min.In addition,a combined predictive model based on complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN),wavelet thresholding(WT),and least squares support vector machine(LSSVM)is established.The fast predictive feature of this model cooperates with the HCCC strategy that effectively improves the predictive control precision.Simulation results show that the proposed HCCC strategy enables rapid response to active power control(APC),and significantly improves dispatching control accuracy and wind power accommodation capabilities.

Coordinated voltage control of renewable energy power plants in weak sending-end power grid

The utilization of renewable energy in sending-end power grids is increasing rapidly,which brings difficulties to voltage control.This paper proposes a coordinated voltage control strategy based on model predictive control(MPC)for the renewable energy power plants of wind and solar power connected to a weak sending-end power grid(WSPG).Wind turbine generators(WTGs),photovoltaic arrays(PVAs),and a static synchronous compensator are coordinated to maintain voltage within a feasible range during operation.This results in the full use of the reactive power capability of WTGs and PVAs.In addition,the impact of the active power outputs of WTGs and PVAs on voltage control are considered because of the high R/X ratio of a collector system.An analytical method is used for calculating sensitivity coefficients to improve computation efficiency.A renewable energy power plant with 80 WTGs and 20 PVAs connected to a WSPG is used to verify the proposed voltage control strategy.Case studies show that the coordinated voltage control strategy can achieve good voltage control performance,which improves the voltage quality of the entire power plant.

Jointly improving energy efficiency and smoothing power oscillations of integrated offshore wind and photovoltaic power: a deep reinforcement learning approach

This paper proposes a novel deep reinforcement learning(DRL)control strategy for an integrated offshore wind and photovoltaic(PV)power system for improving power generation efficiency while simultaneously damping oscilla-tions.A variable-speed offshore wind turbine(OWT)with electrical torque control is used in the integrated offshore power system whose dynamic models are detailed.By considering the control system as a partially-observable Markov decision process,an actor-critic architecture model-free DRL algorithm,namely,deep deterministic policy gradient,is adopted and implemented to explore and learn the optimal multi-objective control policy.The potential and effectiveness of the integrated power system are evaluated.The results imply that an OWT can respond quickly to sudden changes of the inflow wind conditions to maximize total power generation.Significant oscillations in the overall power output can also be well suppressed by regulating the generator torque,which further indicates that complementary operation of offshore wind and PV power can be achieved.

UPFC setting to avoid active power flow loop considering wind power uncertainty

The active power loop flow(APLF)may be caused by impropriate network configuration,impropriate parameter settings,and/or stochastic bus powers.The power flow controllers,e.g.,the unified power flow controller(UPFC),may be the reason and the solution to the loop flows.In this paper,the critical existence condition of the APLF is newly integrated into the simultaneous power flow model for the system and UPFC.Compared with the existing method of alternatively solving the simultaneous power flow and sensitivity-based approaching to the critical existing condition,the integrated power flow needs less iterations and calculation time.Besides,with wind power fluctuation,the interval power flow(IPF)is introduced into the integrated power flow,and solved with the affine Krawcyzk iteration to make sure that the range of active power setting of the UPFC not yielding the APLF.Compared with Monte Carlo simulation,the IPF has the similar accuracy but less time.

新能源场站快速有功控制及频率支撑技术综述

以光伏/风电为代表的新能源高比例并网降低了电力系统的惯量水平和频率支撑能力,频率稳定问题成为当前电网安全稳定和新能源高效消纳的核心问题之一。发展新能源发电并网机组单元和场站的快速有功频率响应和主动支撑能力是当前的研究热点。该文以“单机快速有功控制-场站快速有功控制-场站快速频率支撑”为主线,梳理光伏/风电的快速有功控制及频率支撑发展现状,分析频率检测、通信延时和控制响应模式等因素对光伏/风电场站频率响应快速性的影响,指出风电机组的机械载荷约束、风电场百毫秒级有功控制、场站的调频响应模式选择和优化、暂态有功无功协同控制是提升新能源发电单元和场站的快速有功频率响应能力的4个关键问题,最后对未来的重点研究方向进行展望和讨论。

双绕组感应发电机交直流集成发电系统的自抗扰控制策略

针对双绕组感应发电机交直流集成发电系统,为实现简单易调、性能优越、负载适应力强的发电控制,该文提出一种基于线性自抗扰控制器的交直流电压控制策略,通过交流电压和直流电压与控制绕组和功率绕组的传递函数模型,构建交直流电压的线性扩张状态观测器,同时对交流电压有效值、直流电压和电压扰动进行观测,并利用电压和扰动观测值设计线性误差反馈控制律,对交直流电压进行控制。最后,通过仿真和实验验证该控制策略提高电压扰动抑制能力和负载适应性,同时各模块参数可独立设计、控制器结构简单,避免需要较多传感器及降低调参难度。

基于主动尾流控制的风电机群协同优化调度

针对机组间尾流效应严重影响风电机组发电效率的问题,提出了风电机组安全偏航约束计算方法、尾流特性混合半机理建模方法以及风电机群多目标协同优化调度方法。基于FAST.FARM平台完善了多自由度可控机组与尾流的动态交互集成仿真环境,对比分析了2台机组串列式排布以及华东地区某海上风电场7台机组实际排布下的协同运行优化性能。结果表明:所建立的集成仿真模型能够合理表征风电机群与空气流场的多领域动态交互特性,所提方法能够有效提升风电机群发电效能,促进经济效益、资源利用和成本控制的均衡优化。

基于改进信息最大化生成对抗网络的风光出力场景可控生成方法

基于深度学习的场景生成方法能够自适应挖掘历史数据中高维非线性特征,在风光出力的不确定性建模中得到了广泛应用。然而,基于深度学习的场景生成方法多为黑盒模型,存在可解释性差、生成不可控等问题。为此,提出了一种基于改进信息最大化生成对抗网络(information maximizing generative adversarial nets,Info GAN)的风光出力场景生成方法。该方法在目标函数中增加了基于互信息的正则化项,最大化控制编码与生成场景之间的互信息,无监督学习控制编码与生成场景统计特征的映射关系,并引入Gumbel-Softmax分布提高了生成场景的质量。结合风电场和光伏电站的真实数据进行了算例分析,算例结果表明,所提方法不仅能准确描述风光出力不确定性,而且具有可解释性,能够可控生成指定风光出力场景。

基于卡尔曼滤波的改进ADRC风电制动器控制策略研究

为了提高风电制动器的抗干扰能力和控制精度,在传统三闭环系统的基础上,提出改进自抗扰控制并融合卡尔曼滤波算法.在扩张状态观测器中引入速度跟踪情况,将传统的“大带宽、小误差”改进为“小带宽、小误差”,提高观测器的观测效率.在误差反馈控制率中引入新型指数趋近律的滑模控制,增强控制效果.在电流环中引入卡尔曼滤波算法,降低电流噪声.通过MATLAB/Simulink建立风电制动系统的数学模型,与传统自抗扰控制策略和PID控制策略进行对比分析.结果表明:改进后的控制策略提高了响应速度,降低了启动转矩和电流噪声;制动器在不同工况下均展现出来良好的控制效果和抗干扰能力,提升了系统的鲁棒性和动态性能.

Performance of PI controller for control of active and reactive power in DFIG operating in a grid-connected variable speed wind energy conversion system

Due to several factors, wind energy becomes an essential type of electricity generation. The share of this type of energy in the network is becoming increasingly important. The objective of this work is to present the modeling and control strategy of a grid connected wind power generation scheme using a doubly fed induction generator （DFIG） driven by the rotor. This paper is to present the complete modeling and simulation of a wind turbine driven DFIG in the second mode of operating （the wind turbine pitch control is deactivated）. It will introduce the vector control, which makes it possible to control independently the active and reactive power exchanged between the stator of the generator and the grid, based on vector control concept （with stator flux or voltage orientation） with classical PI controllers. Various simula- tion tests are conducted to observe the system behavior and evaluate the performance of the control for some optimization criteria （energy efficiency and the robustness of the control）. It is also interesting to play on the quality of electric power by controlling the reactive power exchanged with the grid, which will facilitate making a local correction of power factor.

ADMM-based Distributed Active and Reactive Power Control for Regional AC Power Grid with Wind Farms

A distributed active and reactive power control(DARPC)strategy based on the alternating direction method of multipliers(ADMM)is proposed for regional AC transmission system(TS)with wind farms(WFs).The proposed DARPC strategy optimizes the power distribution among the WFs to minimize the power losses of the AC TS while tracking the active power reference from the transmission system operator(TSO),and minimizes the voltage deviation of the buses inside the WF from the rated voltage as well as the power losses of the WF collection system.The optimal power flow(OPF)of the TS is relaxed by using the semidefinite programming(SDP)relaxation while the branch flow model is used to model the WF collection system.In the DARPC strategy,the large-scale strongly-coupled optimization problem is decomposed by using the ADMM,which is solved in the regional TS controller and WF controllers in parallel without loss of the global optimality.The boundary information is exchanged between the regional TS controller and WF controllers.Compared with the conventional OPF method of the TS with WFs,the optimality and accuracy of the system operation can be improved.Moreover,the proposed strategy efficiently reduces the computation burden of the TS controller and eliminates the need of a central controller.The protection of the information privacy can be enhanced.A modified IEEE 9-bus system with two WFs consisting of 64 wind turbines(WTs)is used to validate the proposed DARPC strategy.

面向电网最大频率偏差的风电机组短时频率支撑最优策略与机理

当电网出现有功缺额并导致频率跌落时,风电机组可以通过释放自身轴系动能为电网提供短时频率支撑(short-term frequency support,STFS)。如何利用有限的风电机组轴系动能最大限度地支撑电网频率,是当前研究的热点问题。针对风电机组可释放动能和电网频率变化率约束下的电网最大频率偏差最小化问题,该文提出一种基于有功功率互补控制(active-power complementation control,ACC)的风电机组STFS策略,揭示STFS过程中风电机组的最小动能释放机理,并证明采用ACC释放全部轴系动能的STFS策略为上述问题的最优解。最后,基于含风电的电网动模实验平台的实验结果验证该文提出STFS策略的可行性与频率支撑效果。

校正函数修正的风电并网自抗扰控制系统

针对风电系统运行过程中受未知扰动影响而出现的直流母线电压波动问题,提出一种校正函数修正的自抗扰控制策略(LADRC-CF)。该方法在线性扩张状态观测器(LESO)的扰动观测通道中引入串联校正的思想,通过校正函数修正LESO对总和扰动的观测偏差,以实现更好的扰动补偿,进而达成对直流母线电压的良好控制。此外,还从理论上分析LADRC-CF的稳定性和扰动跟踪能力,在证明稳定性的同时给出部分参数的整定方法。最后,在半实物仿真平台上对LADRC-CF策略的控制性能进行测试,验证所提策略的有效性和优越性。

风电机组附加有功控制参数对系统低频振荡的影响

附加有功控制环节使风机参与至同步机的机电振荡模式中,这使得系统功率振荡特性机理更加复杂,不利于附加有功控制环节的参数设计。为了研究风机附加有功控制对系统稳定性的影响,首先建立了考虑锁相环特性的风机与同步机动态作用的小信号模型;然后基于该模型利用阻尼转矩法分析了风机附加有功控制对系统振荡稳定性的影响机理,并提出了综合考虑系统等效惯性时间常数和阻尼比的附加有功控制环节系数设计方法;最后通过“10机39节点系统”的仿真结果量化分析了各系数对系统低频振荡稳定性的影响规律。结果表明,合理设置风电机组附加有功功率控制系数、滤波时间系数和锁相环带宽均能提升系统频率稳定性;理论分析的正确性也得到了验证。

突发散热故障时的光伏MPPT变换器控制方法研究

作为光伏发电系统的重要组成,MPPT变换器能够实现光伏电池最大功率点跟踪(maximumpowerpoint tracing, MPPT)控制。但在环境通风不畅和冷却装置失效等突发性散热故障情况下,变换器极易发生过热停机保护,导致光伏电池无法输出功率,严重影响光伏发电的可靠性与经济性。为此,以一个300 W级MPPT变换器为对象,对其功率器件温升特性进行了试验分析。随后,结合传统MPPT算法和主动热管理策略,提出了一种突发散热故障时的光伏MPPT变换器控制方法。通过对器件驱动信号占空比的动态限制和开关频率的分级调节,所提方法能够主动调整器件工作损耗,进而充分挖掘变换器输出功率。相关实验表明,所提方法可最大程度保留变换器散热故障时的光伏出力,并减少散热故障修复前的光伏发电经济损失。根据实验结果,构建了所提方法性能评价指标,并分析了方法性能的影响因素。

考虑机组疲劳载荷的风电场快速有功功率分配方法

为抑制风电场参与系统调频过程中风电机组的疲劳载荷,提出一种风电机组与风电场相协同的快速有功功率分配方法。首先,推导了风电机组轴系和塔架2个自由度的疲劳载荷表达式,建立起风电机组疲劳载荷与有功出力变化之间的关系。其次,以风电场总疲劳载荷及其站内分布最小为优化目标,以站内机组调整功率之和与场站调频功率需求一致为约束,在保证风电场调频性能的同时降低风电机组的疲劳载荷。此外,采用风电机组控制器滚动计算自身的疲劳敏感度系数,采用风电场控制器调用商业求解器在线求解优化策略,确保调频过程中有功控制的实时性。最后,搭建了含20台5 MW双馈风电机组的算例系统,验证分析了所提策略的有效性。