Abstract
This work presents an economic analysis of a hybrid renewable energy source (HRES) integrated with an energy storage system (ESS) using batteries with a new proposed strategy. Here, the HRES system comprises wind turbines (WT) and a photovoltaic (PV) system. The hybrid WT, PV and energy storage system with battery offer several benefits, in particular, high wind generation utilization rate, and optimal generation for meeting supply-demand gaps. The real recorded data of various parameters of a 22 KV hybrid ‘Regen’ feeder of 110/22 KV Vagarai Substation of TANTRANSCO in Palani of Tamilnadu in India was gathered, studied for the entire year of 2018, and utilized in this paper. The proposed strategy is the hybridization of two algorithms called Radial Basis Function Neural Network (RBFNN) and Oppositional Elephant Herding Optimization (OEHO) named the RBFNOEHO technique. With the help of RBFNN, the continuous load demand required for the HRES and be tracked. OEHO is used to optimize a perfect combination of HRES with the predicted load demand. The aim of the proposed hybrid RBFNOEHO is to study the cost comparison of the HRES system with the existing conventional base method, energy storage method (ESS) with batteries and with HOMER. The proposed Hybrid RBFNOEHO technique is evaluated by comparing it with the other techniques; it is found that the proposed method yields a more optimal solution than the other techniques.
Highlights
In the present scenario, the energy demand is managed with both renewable and non-renewable sources in most of the countries around the world
An existing Hybrid Renewable Energy Source (HRES) comprising a wind power generation and solar power generation system in a single 22 KV feeder at Vagarai located in the Palani Division in the Dindigul Circle of TANGEDCO in Tamil Nadu, India has been chosen for study
In the second operational segment, the entire load is fully served by the connected hybrid feeder, which consists of three WTsz and the 0.300 KW solar PV system, when they are equal and higher than the load demand: PW1 (t) + PW2−PV (t) + PW3 (t) > PLoad or PW1 (t) + PW2−PV (t) + PW3 (t) ≥ PLoad
Summary
The energy demand is managed with both renewable and non-renewable sources in most of the countries around the world. The need for energy storage in active distribution networks in spite of the uncertainty of wind power distributed generation is discussed in [15] In this context, the study of the integration of hybrid renewable energy systems with the power grid is essential. This work focuses on an economic analysis to integrate an energy storage system (ESS) using batteries along with different hybrid renewable energy source (HRES) devices using the proposed strategy. An existing Hybrid Renewable Energy Source (HRES) comprising a wind power generation and solar power generation system in a single 22 KV feeder at Vagarai located in the Palani Division in the Dindigul Circle of TANGEDCO in Tamil Nadu, India has been chosen for study. This dissertation focuses on an economic analysis to integrate the hybrid renewable energy sources (HRES) with an energy storage system (ESS) using batteries in the proposed strategy.
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