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Optimal sizing and allocation of energy storage in wind power incorporated optimal power flow


Affiliations
1 Assistant Professor, EEE Department, Saveetha Engineering College Thandalam, Chennai - 602105, Tamil Nadu, India
2 Professor, College of Engineering - Guindy, Anna University, Chennai - 600025, Tamil Nadu, India
     

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The rapid expansion of wind power creates new challenges for power system operators and electricity marketers. Wind energy has the potential benefits in curbing emissions and reducing the consumption of irreplaceable reserves. But the variable nature of wind energy poses challenges in the power system operation and planning. In order to ensure the wind power as firm power, energy storage is added to smoothen the variations in wind power. In this paper, optimal power flow with wind and energy storage is developed. The Energy Storage Systems (ESS) are installed as a backup of wind generators to meet the demand reliably. The objective is to minimize the loss by optimal location and sizing of ESSs. With the optimally located ESSs, OPF is carried out using SFLA and tested on IEEE 30 bus system.

Keywords

Wavelet neural network, shuffled frog leap algorithm, optimal power flow, energy storage systems
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  • Optimal sizing and allocation of energy storage in wind power incorporated optimal power flow

Abstract Views: 185  |  PDF Views: 0

Authors

Ulagammai Meyyappan
Assistant Professor, EEE Department, Saveetha Engineering College Thandalam, Chennai - 602105, Tamil Nadu, India
Kumudini Devi Raguru Pandu
Professor, College of Engineering - Guindy, Anna University, Chennai - 600025, Tamil Nadu, India

Abstract


The rapid expansion of wind power creates new challenges for power system operators and electricity marketers. Wind energy has the potential benefits in curbing emissions and reducing the consumption of irreplaceable reserves. But the variable nature of wind energy poses challenges in the power system operation and planning. In order to ensure the wind power as firm power, energy storage is added to smoothen the variations in wind power. In this paper, optimal power flow with wind and energy storage is developed. The Energy Storage Systems (ESS) are installed as a backup of wind generators to meet the demand reliably. The objective is to minimize the loss by optimal location and sizing of ESSs. With the optimally located ESSs, OPF is carried out using SFLA and tested on IEEE 30 bus system.

Keywords


Wavelet neural network, shuffled frog leap algorithm, optimal power flow, energy storage systems



DOI: https://doi.org/10.33686/prj.v12i1.189304