Optimal energy management system for the design of off grid hybrid renewable energy systems: A hybrid technique

Author:

Annapandi P.1,Ramya R.2,Kotaiah N.C.3,Rajesh P.4,Subramanian Arun5

Affiliation:

1. Department of Electrical and Electronics Engineering, Francis Xavier Engineering College, By pass Road, Vannarpet, Tirunelveli, Tamil Nadu, India

2. Department of Electronics and Communication Engineering, Kings Engineering College, Chennai, India

3. Department of Electrical and Electronics Engineering, RVR & JC College of Engineering, Guntur, India

4. Department of Electrical and Electronics Engineering, Anna University, Chennai, India

5. Department of Electrical and Electronics Engineering, Kongunadu College of Engineering and Technology, Tholurpatti, Tamil Nadu, India

Abstract

This manuscript proposes an efficient hybrid strategy to obtain the optimal solution of operational cost reduction, size reduction of hybrid renewable energy sources and optimal power flow control for off-grid system. Here, off-grid is incorporated with photovoltaic array, wind turbine, Diesel generator, and battery energy storage system. The hybrid method is joint execution of Giza Pyramids Construction (GPC) and Billiards-inspired optimization algorithm (BOA) hence it is named GPC-BOA technique. The major purpose of proposed method is minimizing the operational cost as well as size of hybrid renewable energy sources and improves the power flow of system. In this energy management system of off-grid provides cost reduction which includes the generation, replacement, operating and maintenance, cost of fuel consumption, cost of exchanged power with grid, and the penalty for emissions. Here, the GPC method is employed for forecasting the load requirement of system. The BOA technique optimizes the off-grid system through the deliberation of forecasted load requirement. At last, the proposed approach is performed on MATLAB platform and the performance is assessed using existing techniques.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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