Nonlinear maximum power point tracking control and modal analysis of DFIG based wind turbine

Yang, Bo; Jiang, Lin; Wang, Lei; Yao, Wei; Wu, Q. H.

doi:10.1016/j.ijepes.2015.07.036

Cited by 255 publications

(128 citation statements)

References 23 publications

Supporting

Mentioning

128

Contrasting

Order By: Relevance

“…The shape parameter of Weibull distribution is 1.9622 for all wind farms, and the scale parameters are 8.3, 9.9, 8.4, 11.7 for W1-W5 respectively [28]. The parameters of the wind turbine are V ci = 3 m/s, V r = 10.5 m/s and V co = 25 m/s considering the maximum power point tracking control [29,30]. Then, these scenarios are applied to evaluate the probability of violating constraints (15)- (18) under different robust budget parameters, presented in a red dotted line in Figure 4.…”

Section: Case 3: Limited Transmission Capacity and Flexibility From Ementioning

confidence: 99%

Determining the Minimal Power Capacity of Energy Storage to Accommodate Renewable Generation

Han

Liao

et al. 2017

Energies

Self Cite

View full text Add to dashboard Cite

Abstract:The increasing penetration of renewable generation increases the need for flexibility to accommodate for growing uncertainties. The level of flexibility is measured by the available power that can be provided by flexible resources, such as dispatachable generators, in a certain time period under the constraint of transmission capacity. In addition to conventional flexible resources, energy storage is also expected as a supplementary flexible resource for variability accommodation. To aid the cost-effective planning of energy storage in power grids with intensive renewable generation, this study proposed an approach to determine the minimal requirement of power capacity and the appropriate location for the energy storage. In the proposed approach, the variation of renewable generation is limited within uncertainty sets, then a linear model is proposed for dispatchable generators and candidate energy storage to accommodate the variation in renewable generation under the power balance and transmission network constraints. The target of the proposed approach is to minimize the total power capacity of candidate energy storage facilities when the availability of existing flexible resources is maximized. After that, the robust linear optimization method is employed to convert and solve the proposed model with uncertainties. Case studies are carried out in a modified Garver 6-bus system and the Liaoning provincial power system in China. Simulation results well demonstrate the proposed optimization can provide the optimal location of energy storage with small power capacities. The minimal power capacity of allocated energy storage obtained from the proposed approach only accounts for 1/30 of the capacity of the particular transmission line that is required for network expansion. Besides being adopted for energy storage planning, the proposed approach can also be a potential tool for identifying the sufficiency of flexibility when a priority is given to renewable generation.

show abstract

Section: Case 3: Limited Transmission Capacity and Flexibility From Ementioning

confidence: 99%

Determining the Minimal Power Capacity of Energy Storage to Accommodate Renewable Generation

Han

Liao

et al. 2017

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…where c 1 to c 6 are set to: c 1 = 0.5176, c 2 = 116, c 3 = 0.4, c 4 = 5, c 5 = 21, and c 6 = 0.0068, respectively [12,27].…”

Section: Wind Turbine Modelmentioning

confidence: 99%

“…The proposed RPC is applied on DFIG for power system stability enhancement, which control performance is compared to that of conventional PID control [8] and FLC [12], under six scenarios, i.e., (1) Step change of wind speed; (2) Pitch angle variation; (3) Voltage drop at power grid under operation type I; (4) Voltage drop at power grid under operation type II; (5) Inter-area type disturbance; and (6) Generator parameter uncertainties, respectively. Consider the control inputs may exceed the admissible capacity of RSC at some operation point, therefore their values must be limited.…”

Section: Case Studiesmentioning

confidence: 99%

Nonlinear Observer-Based Robust Passive Control of Doubly-Fed Induction Generators for Power System Stability Enhancement via Energy Reshaping

Dong

Li²,

Wu³

et al. 2017

Energies

Self Cite

View full text Add to dashboard Cite

Abstract:The large-scale penetration of wind power might lead to degradation of the power system stability due to its inherent feature of randomness. Hence, proper control designs which can effectively handle various uncertainties become very crucial. This paper designs a novel robust passive control (RPC) scheme of a doubly-fed induction generator (DFIG) for power system stability enhancement. The combinatorial effect of generator nonlinearities and parameter uncertainties, unmodelled dynamics, wind speed randomness, is aggregated into a perturbation, which is rapidly estimated by a nonlinear extended state observer (ESO) in real-time. Then, the perturbation estimate is fully compensated by a robust passive controller to realize a globally consistent control performance, in which the energy of the closed-loop system is carefully reshaped through output feedback passification, such that a considerable system damping can be injected to improve the transient responses of DFIG in various operation conditions of power systems. Six case studies are carried out while simulation results verify that RPC can rapidly stabilize the disturbed DFIG system much faster with less overshoot, as well as supress power oscillations more effectively compared to that of linear proportional-integral-derivative (PID) control and nonlinear feedback linearization control (FLC).

show abstract

“…In China, the installed capacity of wind power was more than 168 GW in 2016, which was an increase of 13.8% over the previous year [8]. However, large-scale wind farms require strict climatic and geographic conditions, i.e., appropriate wind speed and annually stable and consistently abundant winds [9]. In reality, such areas are often far away from the load centers [10].…”

Section: Introductionmentioning

confidence: 99%

Voltage Distribution–Based Fault Location for Half-Wavelength Transmission Line with Large-Scale Wind Power Integration in China

et al. 2018

Self Cite

View full text Add to dashboard Cite

Large-scale wind farms are generally far away from load centers, hence there is an urgent need for a large-capacity power transmission scheme for extremely long distances, such as half-wavelength transmission lines (HWTLs), which can usually span thousands of kilometers from large-scale wind farms to load centers. An accurate fault location method for HWTLs is needed to ensure safe and reliable operation. This paper presents the design of a modal voltage distribution-based asynchronous double-end fault location (MVD-ADFL) scheme, in which the phase voltages and currents are transformed to modal components through a Karenbauer transformation matrix. Then, the modal voltage distributions along transmission lines are calculated by voltage and current from double ends. Moreover, the minimums and intersection points of calculated modal voltages from double ends are defined as the fault location estimation. In order to identify incorrect fault location results and reduce calculation errors for the correct ones, air modal and earth modal voltage distributions are applied in the fault location estimations. Simulation results verify the effectiveness of the proposed approach under different fault resistances, distances, and types. Lastly, a real-time digital simulator (RTDS)-based hardware-in-the-loop (HIL) test is undertaken to validate the feasibility of implementing the proposed approach.

show abstract

Nonlinear maximum power point tracking control and modal analysis of DFIG based wind turbine

Cited by 255 publications

References 23 publications

Determining the Minimal Power Capacity of Energy Storage to Accommodate Renewable Generation

Determining the Minimal Power Capacity of Energy Storage to Accommodate Renewable Generation

Nonlinear Observer-Based Robust Passive Control of Doubly-Fed Induction Generators for Power System Stability Enhancement via Energy Reshaping

Voltage Distribution–Based Fault Location for Half-Wavelength Transmission Line with Large-Scale Wind Power Integration in China

Contact Info

Product

Resources

About