Development of Complementary Operation Plan for Wind Power Fluctuation based on Small-Scale ESS

Seungmin Jung; . .

doi:10.14419/ijet.v7i3.24.22682

Authors

Seungmin Jung
. .

DOI:

https://doi.org/10.14419/ijet.v7i3.24.22682

Published:

2018-12-16

Keywords:

ESS application, curtailment, microgrid, capacity calculation, EMS

Abstract

Background/Objectives: Various small scale power systems have considered renewable energy as core generating capacity; it has lead a requirement about certain storage capacity to impose flexibility into whole generation management process.

Methods/Statistical analysis: It is important to determine a reasonable energy capacity because the device have many controversial cost issues. Therefore, surplus power focused operation plan for storage device was analyzed.

Findings: For developing a stable combined system with a number of distributed resources including storage device, an appropriate storage operation plan must be configured based on the system components and changeable condition to handle the internal network appropriately. In this paper, a curtailment-supporting algorithm based on storage device is introduced, and applied in the capacity calculation method. The main purpose is designing basic standard for small-scaled power grid.

Improvements/Applications: Several fluctuating conditions are utilized in simulation to reflect critical situation. The analyzing process focuses on the control feasibility with applied capacity and control method.

References

[1] Kusiak A, Zheng H, Song Z. Short-Term Prediction of Wind Farm Power: A Data Mining Approach. IEEE Trans. Energy Conversion. 2009Mar;24(1):125-136.

[2] Morales A, Robe X, Sala M, Prats P, Aguerri C, Torres E. Advanced grid requirements for the integration of wind farms into the Spanish transmission system. IET Renewable Power Generation. 2008 Mar;2(1):45-57.

[3] Yoon DH, Song H, Jang G, Joo SK. Smart operation of HVDC systems for large penetration of wind energy resources. IEEE Trans. Smart Grid. 2013Mar;4(1):359-366.

[4] He L, Liu CC, Pitto A, Cirio D. Distance protection of AC grid with HVDC- connected offshore wind generators. IEEE Transactions on Power Delivery. 2014 Apr;29(2):493-501

[5] Hartmann B, Dan A. Cooperation of a Grid-Connected Wind Farm and an Energy Storage Unitâ€”Demonstration of a Simulation Tool. IEEE Trans. Sustainable Energy. 2012Jan;3(1):49-56.

[6] Jung S, Yoon YT, Jang G. Adaptive Curtailment Plan with Energy Storage for AC/DC Combined Distribution Systems. Sustainablity. 2016 Aug;2071-1050.

[7] Gabash A, Li P. Active-Reactive Optimal Power Flow in Distribution Networks With Embedded Generation and Battery Storage. IEEE Trans. Power Systems. 2012 Mar;27(4):2026-2035.

[8] Li Z, Wu W, Zhang B, Wang B. Adjustable robust real-time power dispatch with large-scale wind power integration. IEEE Trans. Sustainable Energy.2015 Apr;6(2):357-368.

[9] Roy S. Power output by active pitch-regulated wind turbine in presence of short duration wind variations. IEEE Trans. Energy Conversion. 2013 Dec;28(4):1018-1025.

[10] Yuan XB, Li YD. Control of variable pitch and variable speed direct-drive wind turbines in weak grid systems with active power balance. IET Renewable Power Generation. 2014 Mar;8(2):119-131.

[11] V66-1.75MW [Internet]. 2015 [updated 2015October28; cited 2018Aug12]. Available from: http://www.homepages.ucl.ac.uk/~uceseug/Fluids2/Wind_Turbines/Blyth_Wind_Farm/Vestas_V66.pdf