29May 2017

COST OPTIMIZATION OF ENERGY STORAGE SYSTEMS BASED ON WIND RESOURCES USING GRAVITATIONAL SEARCH ALGORITHM

  • Department of EEE, Anna University Regional Campus, Coimbatore, Tamilnadu? 641046, India.
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Proper placement of energy storage system in distributed generation is still a challenging, because of its size and their location. Energy Storage System (ESS) plays a significant role in both the utility and distributed power systems. Among their benefits, the salient features are minimizing the power system cost and improving its voltage profile. Due to improper size and placement of energy storage units leads to undesired power system cost as well as the risk of voltage stability. To solve this problem, Gravitational Search Algorithm (GSA) approach is proposed in this paper to minimize the total system cost and improve the voltage profile of the system by searching the sitting and sizing of storage units. In GSA, every mass attracts towards others due to gravitational field so the heavier mass attains the optimal solution to the problem. Here the optimal solution represents the best location of Energy Storage System (ESS) in wind energy system. The IEEE 30 Bus system is incorporated for the simulation to find out the optimal location and with low operation cost. The presented results with GSA evident that the optimality and reliability of the solution.

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[Dr. R. Vijay and T.Pavithra. (2017); COST OPTIMIZATION OF ENERGY STORAGE SYSTEMS BASED ON WIND RESOURCES USING GRAVITATIONAL SEARCH ALGORITHM Int. J. of Adv. Res. 5 (May). 1667-1680] (ISSN 2320-5407). www.journalijar.com

Dr.R.Vijay
Anna University Regional Campus, Coimbatore, India – 641046.

DOI:

Article DOI: 10.21474/IJAR01/4295      
DOI URL: https://dx.doi.org/10.21474/IJAR01/4295

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