Optimal Sizing and Siting of BESS in Distribution Networks
K. Pranavi1, P. Linga Reddy2, S. V. N. L. Lalitha3
1K.Pranavi, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
2P.Linga Reddy, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
3S.V. N. L. Lalitha, Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1073-1078 | Volume-8 Issue-6, April 2019 | Retrieval Number: F5024048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The penetration of renewable energy sources (RES) in the power system is increasing in the recent years. Integrating the energy storage systems (ESS) into the network can increase the reliability of the system and facilitate the penetration of renewable RES. Among different kinds of ESS, battery energy storage systems (BESS) are compact and faster. Optimal sizing and location of the BESS in network which is essential to decrease the overall cost of the system is done with Genetic Algorithm (GA). To account the stochastic nature of RES, a probabilistic approach is adopted and the optimal operation of BESS is determined using Forest Optimization Algorithm (FOA).
Keyword: Battery Energy Storage Systems (BESS), Forest Optimization Algorithm (FOA), Genetic Algorithm (GA), Renewable Energy Sources (RES).
Scope of the Article: Ubiquitous Networks