Methods for Assessing Available Wind Primary Power Reserve

Wang, Ye; Bayem, Herman; Giralt-Devant, Maria; Silva, Vera; Guillaud, Xavier; Bart, François

doi:10.1109/tste.2014.2369235

Cited by 77 publications

(43 citation statements)

References 16 publications

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“…In Figure 1, P rate is the rated capacity of the wind farm. At present, the wind power control technology enables the wind farm to output power at a certain percentage of the maximum output [25]. However, the realization of the proportional curtailment strategy also depends on the application of basic control methods such as virtual inertial control and droop control.…”

Section: Principle Of the Proportional Curtailment Strategy For Wind mentioning

confidence: 99%

Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation

et al. 2018

Energies

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Large scale wind power integration has a negative influence on the frequency response. Assistant measurement improves the frequency stability of power systems under high wind penetration. The Proportional Curtailment Strategy (PCS) for wind turbines provides a primary frequency reserve for power systems. To solve the worthless curtailed wind power, the PCS is used to improve the utilization of wind power curtailment. Then the wind turbine and the lithium battery Energy Storage System (ESS) provide primary frequency reserves together. Different control strategies of ESS have been proposed based on the different methods for selecting valid reserves. The economic benefits of different control strategies have been compared based on the same frequency regulation reserve. The optimal control strategy is the maximum method. The economic benefit of the maximum value method is ¥4,445,300.

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Section: Principle Of the Proportional Curtailment Strategy For Wind mentioning

confidence: 99%

Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation

et al. 2018

Energies

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“…[12], as instead of considering a budget constraint for the joint offering of energy and reserves, we first start from the various control paradigms described in the literature for wind to offer system services in practice. A major contribution of this work is the implementation, evaluation and comparison of two different offering strategies, namely the proportional and the constant wind strategies proposed in [29], [30], for the splitting of potentially available wind power considering the same wind distribution probability for the two services. In practice, they are easy to implement since uses simple controllers due to the locking of energy and reserve quantities [30], while strategies that utilize all operational degrees of freedom would require advanced controllers that are unlikely to admit analytical treatment, and may be highly susceptible of misestimate due to forecast errors.…”

Section: A Variablesmentioning

confidence: 99%

“…A major contribution of this work is the implementation, evaluation and comparison of two different offering strategies, namely the proportional and the constant wind strategies proposed in [29], [30], for the splitting of potentially available wind power considering the same wind distribution probability for the two services. In practice, they are easy to implement since uses simple controllers due to the locking of energy and reserve quantities [30], while strategies that utilize all operational degrees of freedom would require advanced controllers that are unlikely to admit analytical treatment, and may be highly susceptible of misestimate due to forecast errors. An advantage of our approach is then to show how offering behavior and market revenues can be highly affected by the control paradigm originally adopted.…”

Section: A Variablesmentioning

confidence: 99%

“…In a European context these are run by the local TSO [30]. For the example of Denmark, this market is cleared just before the operating hour and is divided into a regulating power market (where the system operator purchases the required regulating power to balance the system) and a balancing power market (where correction of the system and market participant imbalances is performed) [31].…”

Section: A Current Day-ahead and Balancing Marketmentioning

confidence: 99%

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Optimal Offering Strategies for Wind Power in Energy and Primary Reserve Markets

Soares

Pinson

Jensen

et al. 2016

IEEE Trans. Sustain. Energy

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Abstract-Wind power generation is to play an important role in supplying electric power demand, and will certainly impact the design of future energy and reserve markets. Operators of wind power plants will consequently develop adequate offering strategies, accounting for the market rules and the operational capabilities of the turbines, e.g., to participate in primary reserve markets. We consider two different offering strategies for joint participation of wind power in energy and primary reserve markets, based on the idea of proportional and constant splitting of potentially available power generation from the turbines. These offering strategies aim at maximizing expected revenues from both market floors using probabilistic forecasts for wind power generation, complemented with estimated regulation costs and penalties for failing to provide primary reserve. A set of numerical examples, as well as a case-study based on real-world data, allows illustrating and discussing the properties of these offering strategies. An important conclusion is that, even though technically possible, it may not always make sense for wind power to aim at providing system services in a market environment.Index Terms-Ancillary services, decision-making under uncertainty, electricity markets, offering strategies, wind power. NOMENCLATUREThe main notation used throughout the paper is stated next for quick reference. Other symbols are defined as required. A. Variables

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“…Recently, with technological advancement, wind power has grown rapidly and becomes the most competitive form of renewable energy resource [1][2]. Besides, Variable-Velocity Wind Energy Conversion Systems (VV-WECS) are the dominant technology in the present wind power industry for the reason that they possess several advantages, over the fixed speed systems, as the ability to obtain MPPT control methodology in order to extract maximum power at different wind, higher overall efficiency, power quality and it can be controlled to reduce aerodynamic noise and mechanical stress on VV-WECS by absorbing the wind-power fluctuations [3][4].…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Control Strategy of Maximizing Wind Energy Tracking and Different Operating Conditions for Permanent Magnet Synchronous Generator Wind Farm

2015

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This paper develops the model and the control of a Wind Farm System (WFS) based on Permanent Magnet Synchronous Generator (PMSG) and interconnected to the electric network. It evaluates the performance of the system for fault conditions as well as for normal working conditions. The proposed control law combines Vector Control (VC) and Maximum Power Point Tracking (MPPT) control methodology in order to maximize the generated power from Wind Turbine Generators (WTG). So, WFS can not only capture the maximum wind energy, but also can maintain the frequency and amplitude of the output voltage. Simulation results have shown the effectiveness of the proposed control method for variable speed WFS based on the PMSG.

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Methods for Assessing Available Wind Primary Power Reserve

Cited by 77 publications

References 16 publications

Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation

Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation

Optimal Offering Strategies for Wind Power in Energy and Primary Reserve Markets

Optimal Power Control Strategy of Maximizing Wind Energy Tracking and Different Operating Conditions for Permanent Magnet Synchronous Generator Wind Farm

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