A probabilistic day-ahead scheduling with considering wind power curtailment

Wang, Chen; Liu, Tianbin; Zhu, Zhigang; Cheng, Jie; Cong, Wei; Wu, Yayi; Lin, Cheng‐Chieh; Bai, Fan

doi:10.1109/ei2.2017.8245338

Cited by 2 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, wind power curtailment also has an advantage in that it mitigates wind power uncertainties associated with the short-term variations and the forecasting errors that occur because of the limited operating range of wind generation. In the perspective of day-ahead unit commitment (UC), appropriate wind power curtailments can be one control option [7][8][9] for economic operations, which can reduce the requirements for ramping capability as well as spinning reserve.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Wind Curtailment Scheduling for Mitigation of Short-Term Variations in a Power System with High Wind Power and Electric Vehicle

Lee

et al. 2018

Applied Sciences

View full text Add to dashboard Cite

Occasionally, wind curtailments may be required to avoid an oversupply when wind power, together with the minimum conventional generation, exceed load. By curtailing wind power, the forecast uncertainty and short-term variations in wind power can be mitigated so that a lower spinning reserve is sufficient to maintain the operational security of a power system. Additionally, the electric vehicle (EV) charging load can relieve the oversupply of wind power generation and avoid uneconomical wind power curtailments. This paper presents a stochastic generation scheduling method to ensure the operation security against wind power variation as well as against forecast uncertainty considering the stochastic EV charging load. In the paper, the short-term variations of wind power that are mitigated by the wind curtailment are investigated, and incorporated into a generation scheduling problem as the mixed-integer program (MIP) forms. Numerical results are also presented in order to demonstrate the effectiveness of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%

Stochastic Wind Curtailment Scheduling for Mitigation of Short-Term Variations in a Power System with High Wind Power and Electric Vehicle

Lee

et al. 2018

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…In [7] the optimization is solved by extended semidefined program relaxations, being an equivalent process to Lagrangean dual. [8] solves a multi-period OPF using the GAMS software (optimization solver programming language using algebraic notation). [9] represents the battery and power grid constraints along the simulation periods using a Fourier coefficient vector, being aggregated to the rest of the nonlinear optimization problem solved using the interior points method.…”

mentioning

confidence: 99%

Multiperiod Optimum Power Flow for Active Distribution Networks With Provisioning of Ancillary Services

et al. 2021

View full text Add to dashboard Cite

Distribution networks are suffering a transformation process with the insertion of distributed energy resources, changing from a passive part of the power grid into an active system. Aiming to reduce the challenges for the distribution system operators to keep the power grid operating inside of the quality levels it is possible to propose some ancillary services. Optimum Power flow is an optimization method used to plan the distribution grid operation. Additionally, the distributed energy resources can be modeled on it and ancillary services provisioning can be considered, as proposed in this work. In this way, the objective of the present work is to formulate a Multiperiod Optimum Power Flow (MPOPF) with the insertion of distributed generation, energy storage systems, microgrids, and electric vehicles at the distribution grid. This MPOPF considers the provisioning of ancillary services by the inverters associated with the equipment connected to the main grid. In the formulation, the entire grid is modeled, considering the placement of classic equipment as a voltage regulator and capacitor banks, in addition to modern technologies as DFACTS and four-quadrant inverters. The MPOPF was simulated for several scenarios considering a 90-bus test feeder and a real distribution grid from Curitiba -Brazil. From the results, the MPOPF proved to be highly robust, being able to simulate the grid with all the equipment connected simultaneously, performing the optimal dispatch of active and reactive power, as well as allowing the operation of ancillary services such as voltage support, peak-shaving, and demand-side management.

show abstract

A probabilistic day-ahead scheduling with considering wind power curtailment

Cited by 2 publications

References 15 publications

Stochastic Wind Curtailment Scheduling for Mitigation of Short-Term Variations in a Power System with High Wind Power and Electric Vehicle

Stochastic Wind Curtailment Scheduling for Mitigation of Short-Term Variations in a Power System with High Wind Power and Electric Vehicle

Multiperiod Optimum Power Flow for Active Distribution Networks With Provisioning of Ancillary Services

Contact Info

Product

Resources

About