Grid frequency control. Secondary frequency control tuning taking into account distributed primary frequency control

Agüero, Jorge Luis; Beroqui, Mario César; Issouribehere, Fernando

doi:10.1109/pes.2010.5590004

Cited by 9 publications

(5 citation statements)

References 4 publications

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“…The piecewise linear fitting result fits with the measured data when the wicket gate opening is less than 0.6 and has a difference as the wicket gate opening over 0.6 by per unit value. The fifth order fitting shown in (11) is closest to the measured data which shows a better on-cam relationship than the other fitting methods. Given the wicket gate opening disturbances, the simulation result using fifth order fitting is consistent with the measured data in the whole operating range (see Figure 8(c)) and verifies the correctness of the on-cam relationship function.…”

Section: Resultsmentioning

confidence: 69%

“…The relationship between the wicket gate opening and the blade opening needs to be revised with appropriate polynomial fitting at other working heads. Figure 8(a) shows the simulated blade opening of the blade control system model (see Figure 4) using the expression in (11) under given wicket gate opening disturbances of whole range.…”

Section: Resultsmentioning

confidence: 99%

“…The operation of Kaplan turbine involves control of the wicket gates and the runner blades position to regulate the water flow into the turbine [2,11]. Due to the on-cam relationship between the wicket gate opening and the runner blade angle, the impact of blade angle on Kaplan turbine transient simulation accuracy should not be ignored [12,13].…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Model of Kaplan Turbine Regulating System Suitable for Power System Analysis

Zhao

Wang

Liu

et al. 2015

Mathematical Problems in Engineering

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Accurate modeling of Kaplan turbine regulating system is of great significance for grid security and stability analysis. In this paper, Kaplan turbine regulating system model is divided into the governor system model, the blade control system model, and the turbine and water diversion system model. The Kaplan turbine has its particularity, and the on-cam relationship between the wicket gate opening and the runner blade angle under a certain water head on the whole range was obtained by high-order curve fitting method. Progressively the linearized Kaplan turbine model, improved ideal Kaplan turbine model, and nonlinear Kaplan turbine model were developed. The nonlinear Kaplan turbine model considered the correction function of the blade angle on the turbine power, thereby improving the model simulation accuracy. The model parameters were calculated or obtained by the improved particle swarm optimization (IPSO) algorithm. For the blade control system model, the default blade servomotor time constant given by value of one simplified the modeling and experimental work. Further studies combined with measured test data verified the established model accuracy and laid a foundation for further research into the influence of Kaplan turbine connecting to the grid.

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Section: Resultsmentioning

confidence: 69%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic Model of Kaplan Turbine Regulating System Suitable for Power System Analysis

Zhao

Wang

Liu

et al. 2015

Mathematical Problems in Engineering

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“…The nonlinear turbine model should be used in the whole dynamic simulation process. The relationship between the mechanical power and the vane opening is often expressed as a ratio . The nonlinear characteristics of large hydro turbine need further analysis to achieve suitable representation, and of which the applicability and correctness need a comparison with test data.…”

Section: Introductionmentioning

confidence: 99%

Improved nonlinear turbine-governor model and parameter assessment for a large hydropower plant

Zhao

Wang

Liu

et al. 2018

Int Trans Electr Energ Syst

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Summary In the presented power system analysis software, the actuator model of hydro turbine governor system cannot effectively reflect the actual characteristics of the section closing law. The accuracy of Francis turbine model simulation is not high since the Francis turbine static characteristic curve between turbine power and guide vane opening is obviously nonlinear under a certain water head. An improved actuator model was proposed with section closing rate limits, which reflects the section closing law of the guide vane. The simulation analysis shows that the section closing point has a great effect on the Francis turbine in case of load rejection when the vane is fully closed. Compared with different fitting methods of the mechanical power and guide vane opening, the cubic polynomial fitting method is more suitable and recommended. An improved nonlinear turbine model with nonlinear characteristics of mechanical power versus gate position was established. The comparison between the simulation and field test data demonstrates that the improved nonlinear Francis turbine‐governor model considering section closing law of guide vane is more practical and effective than the existing models, thus can be better applied in power system simulation analysis.

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“…This paper describes the implementation phases of an EV test bed, working under the coordination of a VPP and contributing in regulating power reserves, as secondary frequency control [12]. A real regulating power request from the Danish Transmission System Operator (TSO) is processed by the VPP and sent in form of a charging/discharging power schedule to the EV test bed.…”

Section: Introductionmentioning

confidence: 99%

Implementation of an Electric Vehicle test bed controlled by a Virtual Power Plant for contributing to regulating power reserves

Marra

Sacchetti

Pedersen

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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Abstract--With the increased focus on Electric Vehicles (EV) research and the potential benefits they bring for smart grid applications, there is a growing need for an evaluation platform connected to the electricity grid. This paper addresses the design of an EV test bed, which using real EV components and communication interfaces, is able to respond in real-time to smart grid control signals. The EV test bed is equipped with a Lithium-ion battery pack, a Battery Management System (BMS), a charger and a Vehicle-to-Grid (V2G) unit for feeding power back to the grid. The designed solution serves as a multifunctional grid-interactive EV, which a Virtual Power Plant (VPP) or a generic EV coordinator could use for testing different control strategies, such as EV contribution to regulating power reserves. The EV coordination is realized using the IEC 61850 modeling standard in the communication. Regulating power requests from the Danish TSO are used as a proof-of-concept, to demonstrate the EV test bed power response. Test results have proven the capability to respond to frequent power control requests and they reveal the potential EV ability for contributing to regulating power reserves.

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Grid frequency control. Secondary frequency control tuning taking into account distributed primary frequency control

Cited by 9 publications

References 4 publications

Dynamic Model of Kaplan Turbine Regulating System Suitable for Power System Analysis

Dynamic Model of Kaplan Turbine Regulating System Suitable for Power System Analysis

Improved nonlinear turbine-governor model and parameter assessment for a large hydropower plant

Implementation of an Electric Vehicle test bed controlled by a Virtual Power Plant for contributing to regulating power reserves

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