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Bidding and Offering Strategies for Integration of Battery Storage System and Wind Turbine

  • Kittisak JermsittiparsertEmail author
Chapter
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Abstract

Utilization of wind turbine as renewable energies is increased due to environmental issues. In this work, a new structure is presented for integration of battery storage system (BSS) and wind turbine (WT) in the operation mode. In the proposed model, the BSS can be supplied and charged through WT or power procurement from the upstream grid. Stored power in the BSS can be sold to electricity market in high price in peak periods while by considering power market prices, the output power of WT can be directly injected to the electricity grid or can charge the BSS. A stochastic framework is proposed to consider uncertainties of wind speed and market price. Wind speed and market price scenarios are produced with Weibull and normal distribution functions, respectively. An MIP method is used to create the optimal offering and bidding curves for each hour in order to bid/offer for purchasing/selling power from/to upstream grid. Finally, obtained results are presented and discussed.

Keywords

WT BSS Renewable energy Stochastic framework bidding and offering 

Nomenclature

Indices

s, t

Scenario, time

Input

Pr

The rated power of WT

\( {P}_{\mathrm{min}}^{\mathrm{ch}} \)

Minimum amount of charging power of the BSS

\( {P}_{\mathrm{max}}^{\mathrm{ch}} \)

Maximum amount of charging power of the BSS

\( {P}_{\mathrm{min}}^{\mathrm{disc}} \)

Minimum amount of discharging power of the BSS

\( {P}_{\mathrm{max}}^{\mathrm{disc}} \)

Maximum amount of discharging power of the BSS

\( {P}_{\mathrm{max}}^{\mathrm{proc}} \)

Maximum limit of power procurement from the grid

\( {P}_{\mathrm{max}}^{\mathrm{sell}} \)

Maximum limit of sold power to the grid

\( {\mathrm{SOC}}_{\mathrm{max}}^{\mathrm{B}},{\mathrm{SOC}}_{\mathrm{min}}^{\mathrm{B}} \)

Maximum and minimum limits of the BSS’s SOC

Vcut ‐ out, Vcut ‐ in, Vr

The cut-out, cut-in, and rated speeds of WT

ηdisc, ηch

Discharging and charging efficiencies of the BSS

ρs

Probability of the each scenario

λt, s

Power price

Vt, s

The predicated wind speed

Variables

\( {P}_{t,s}^{\mathrm{sell}} \)

Sold power to the market

\( {P}_{t,s}^{\mathrm{pro}} \)

Procured power from the market

\( {P}_{t,s}^{\mathrm{WT}} \)

Total produced power by the WT

\( {P}_{t,s}^{\mathrm{WT}\hbox{-} \mathrm{G}} \)

Injected power from WT to the grid

\( {P}_{t,s}^{\mathrm{WT}\hbox{-} \mathrm{B}} \)

Injected power from WT to the BSS

\( {P}_{t,s}^{\mathrm{B}\hbox{-} \mathrm{G}} \)

Injected power from the BSS to the grid

\( {P}_{t,s}^{\mathrm{purchase}} \)

Purchased power from the upstream grid

\( {P}_{t,s}^{\mathrm{G}\hbox{-} \mathrm{B}} \)

Procured power by the BSS from upstream grid

\( {\mathrm{SOC}}_{t,s}^{\mathrm{B}} \)

State of charge of the BSS

\( {U}_{t,s}^{\mathrm{disc}},{U}_{t,s}^{\mathrm{ch}} \)

Binary variables of the discharging and charging states of the BSS

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Social Research InstituteChulalongkorn UniversityBangkokThailand

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