Receding Horizon Control of Wind Power to Provide Frequency Regulation

Tielens, Pieter; Hertem, Dirk Van

doi:10.1109/tpwrs.2016.2626118

Cited by 30 publications

(23 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the energy storage system, the energy storage capacity cannot be released until the next time limit, and energy cannot be absorbed in the first time limit, which is shown as equation (3).…”

Section: Advances In Engineering Research (Aer) Volume 132mentioning

confidence: 99%

A Frequency control method for wind power system based on general energy storage model and particle swarm optimization

Cheng¹,

Qian²

2017

Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

View full text Add to dashboard Cite

Abstract. Based on the frequency control of power system with wind turbine, this paper proposed a general model for energy storage system. On this basis, a method of power network frequency control based on particle swarm optimization (PSO) is proposed. By finding the optimal location of the particles, the optimal control parameters for the current grid are obtained. The performance of the proposed approach is tested on the IEEE-39 bus system. Experimental results indicate that the PSO algorithm can provide the optimal PI controller with proportional and integral parameters. The frequency fluctuation which is caused by wind farm can be obviously reduced. And the traditional problem of controller parameters misalignment can be solved.

show abstract

Section: Advances In Engineering Research (Aer) Volume 132mentioning

confidence: 99%

A Frequency control method for wind power system based on general energy storage model and particle swarm optimization

Cheng¹,

Qian²

2017

Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

View full text Add to dashboard Cite

show abstract

“…In the Australian electricity market, FFR is defined as "any type of rapid active power increase or decrease by generation or load, in a timeframe of less than two seconds, to correct supply-demand imbalances and assist with managing frequency" [2]. There have been several studies of FFR encompassing a wide range of technologies [3][4][5][6]. In one study [6], it was shown that wind generators (WG) can provide IR for a very short duration (~10 s).…”

Section: Introductionmentioning

confidence: 99%

“…There have been several studies of FFR encompassing a wide range of technologies [3][4][5][6]. In one study [6], it was shown that wind generators (WG) can provide IR for a very short duration (~10 s). Although this method proved to be useful for frequency regulation, the kinetic energy provided by wind turbines is highly dependent on the wind speed; as a result, insufficient support is delivered in the case of low wind speed.…”

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of an Isolated Wind-Diesel-Energy Storage System Considering Fast Frequency Response and Forecast Error

Nguyen-Hong

Nakanishi

2019

Energies

View full text Add to dashboard Cite

Nowadays, the hybrid wind–diesel system is widely used on small islands. However, the operation of these systems faces a major challenge in frequency control due to their small inertia. Furthermore, it is also difficult to maintain the power balance when both wind power and load are uncertain. To solve these problems, energy storage systems (ESS) are usually installed. This paper demonstrates the effectiveness of using ESS to provide Fast Frequency Response (FFR) to ensure that the frequency criteria are met after the sudden loss of a generator. An optimal day-ahead scheduling problem is implemented to simultaneously minimize the operating cost of the system, take full advantage of the available wind power, and ensure that the ESS has enough energy to provide FFR when the wind power and demand are uncertain. The optimization problem is formulated in terms of two-stage chance-constrained programming, and solved using a Modified Sample Average Approximation (MSAA) algorithm—a combination of the traditional Sample Average Approximation (SAA) algorithm and the k-means approach. The proposed method is tested with a realistic islanded power system, and the effects of the ESS size and its response time is analyzed. Results indicate that the proposed model should perform well under real-world conditions.

show abstract

“…synthetic inertia), and tip-speed control [8]. Alternative innovative strategies have also been devised and studied recently [9]. The effectiveness of all these procedures is contingent upon the WTG responses to sudden changes in WS and/or torque (power) reference stipulated by the controller to produce the aimed power surge and help curtail the incurred frequency fluctuations in the best possible manner.…”

Section: Introductionmentioning

confidence: 99%

Frequency support using doubly fed induction and reluctance wind turbine generators

Attya

Ademi

Jovanović

et al. 2018

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

This paper presents the comparative computer simulations of a commercial doublyfed induction generator (DFIG) and an emerging brushless doubly-fed reluctance generator (BDFRG) for grid-connected wind turbines in terms of frequency support based on the inertia emulation and blade pitching de-loading. The BDFRG features the low operation and maintenance cost by using a fractional inverter, and offers the high reliability of brushless structure with a simpler, more compact 2stage gearbox design whilst still ensuring competitive performance to its popular slip-ring companion. The implemented benchmark is carefully designed to ascertain the relative capabilities of the two wind turbine generator technologies in providing this ancillary service. The results reveal that in spite of the fundamentally different operating principles, the DFIG and the BDFRG are highly aligned from the viewpoint of power system applications.

show abstract

Receding Horizon Control of Wind Power to Provide Frequency Regulation

Cited by 30 publications

References 19 publications

A Frequency control method for wind power system based on general energy storage model and particle swarm optimization

A Frequency control method for wind power system based on general energy storage model and particle swarm optimization

Optimal Scheduling of an Isolated Wind-Diesel-Energy Storage System Considering Fast Frequency Response and Forecast Error

Frequency support using doubly fed induction and reluctance wind turbine generators

Contact Info

Product

Resources

About