Primary frequency controller with prediction-based droop coefficient for wind-storage systems under spot market rules

Autor: Zhao Jianfeng, Mohammad Shahidehpour, Shengqi Zhang, Yuan Bei, Yateendra Mishra
Rok vydání: 2018
Předmět:
Frequency response
Control and Optimization
Computer science
020209 energy
Wind Storage Systems
Automatic frequency control
Energy Engineering and Power Technology
02 engineering and technology
090607 Power and Energy Systems Engineering (excl. Renewable Power)
lcsh:Technology
Turbine
droop coefficient
Electricity Spot Market
Electric power system
Control theory
0202 electrical engineering
electronic engineering
information engineering
Voltage droop
Electrical and Electronic Engineering
Dispatchable generation
Engineering (miscellaneous)
Wind power
lcsh:T
Renewable Energy
Sustainability and the Environment
business.industry
wind storage system
Building and Construction
spot market
Electricity spot market
Droop Control
Hybrid power
090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells)
business
Primary Frequency Control
Kalman Filter
Energy (miscellaneous)
Zdroj: Energies
Volume 11
Issue 9
Energies, Vol 11, Iss 9, p 2340 (2018)
ISSN: 2381-3652
Popis: Increasing penetration levels of asynchronous wind turbine generators (WTG) reduce the ability of the power system to maintain adequate frequency responses. WTG with the installation of battery energy storage systems (BESS) as wind-storage systems (WSS), not only reduce the intermittency but also provide a frequency response. Meanwhile, many studies indicate that using the dynamic droop coefficient of WSS in primary frequency control (PFC) based on the prediction values, is an effective way to enable the performance of WSS similar to conventional synchronous generators. This paper proposes a PFC for WSS with a prediction-based droop coefficient (PDC) according to the re-bid process under real-time spot market rules. Specifically, WSS update the values of the reference power and droop coefficient discretely at every bidding interval using near-term wind power and frequency prediction, which enables WSS to be more dispatchable in the view of transmission system operators (TSOs). Also, the accurate prediction method in the proposed PDC-PFC achieves the optimal arrangement of power from WTG and BESS in PFC. Finally, promising simulation results for a hybrid power system show the efficacy of the proposed PDC-PFC for WSS under different operating conditions.
Databáze: OpenAIRE
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