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Authors
Affiliations
1 Assistant Professor, EEE Department, Saveetha Engineering College Thandalam, Chennai - 602105, Tamil Nadu, IN
2 Professor, College of Engineering - Guindy, Anna University, Chennai - 600025, Tamil Nadu, IN
Source
Power Research, Vol 12, No 1 (2016), Pagination: 97-108
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
