Battery Energy Storage Optimization in Distribution Power Systems with Distributed Renewable Energy Resources

Nawar Alotaibi, Sreerama Kumar

Abstract


This paper proposes an improved grey wolf optimization technique to determine the optimal location and the capacity of battery energy storage systems (BESS) in distribution power networks with distributed renewable energy resources.  The intermittency in the power outputs of the wind and solar energy conversion systems are taken into account in the proposed approach by means of fuzzy logic representation of the input variables to these systems. The fuzzy rule base developed based on the past history data over a year in the identified geographic area generates the power output probability value of these systems for each hour every day based on the current atmospheric conditions. The algorithm proceeds to find the optimal capacity and location of BESS so as to minimize the net present cost of system power loss and the installation and maintenance of BESS. The effectiveness of the proposed approach is evaluated and established on the standard IEEE 33-bus distribution network with the renewable energy resources at identified buses. 

Keywords


battery energy storage systems; renewable energy systems; improved grey wolf algorithm; fuzzy modelling, distribution network, power systems

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v15i3.14958.g9096

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