Cost Analysis for DC Microgrid Incorporating Renewable Energy Resources using Search- and Rescue-Based Emperor Penguin Optimization Algorithm

Abstract

The increase in the usage of fossil fuels for energy production has led to the extermination of natural minerals, which gives rise to the hybridization of non-renewable resources with renewable resources. The energy generation system’s integration has confiscated a new problem in load dispatch to the consumers with economic satisfaction. In this research work, hybrid optimization is proposed for the economic load dispatch formation by allocating the power in the hybrid energy sources. The PV-WT-diesel generator is used for power generation, and the search- and rescue-based emperor penguin optimization algorithm is used to allocate the power to the corresponding generation unit. The implementation is done by considering the ramp rate limit and the valve point effect. The implementation is done on the MATLAB platform for modeling the hybrid energy source and the optimization process. As a result, the combination of tri-generators has proved for a better result, costing 27248.88$/hr. At 400 MW load, inducing the emission cost of 0.012$/hr. In contrast to other methods, the fuel and emission cost is reduced to 2.66%.

Keywords:

• diesel generator
• economic load dispatch
• emperor penguin optimization
• photovoltaic
• renewable energy resources
• search and rescue algorithm
• wind turbine

Data Availability Statement

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

Additional information

Notes on contributors

Kartheek Vankadara

Kartheek Vankadara received his Bachelors degree in Electrical and Electronics Engineering from Sree Vidyanikethan Engineering College in 2005 and the Masters degree in Power Electronics & Industrial Drives from Sathyabama Institute of Science and Technology, Chennai in 2011. He is currently pursuing his research at School of Engineering & Technology, Mohan Babu University (MBU), Tirupati. His research interest includes power system, energy management, load forecasting and economic dispatch.

Isaac Jacob Raglend

Isaac Jacob Raglend received his Bachelors degree in Electrical Engineering from The Indian Engineering College and the Masters degree from Annamalai University with first class in 2000 and 2001 respectively. He has done his Ph.D. in the Department of Electrical and Electronics Engineering, Indian Institute of Technology, Roorkee, India in the year 2007. Presently, he is working as a Professor in the School of Electrical Engineering (SELECT), Vellore Institute of Technology (VIT), Vellore. His research interest includes unit commitment, economic dispatch, smart grid, power system restructuring and deregulation, artificial intelligence applications to power systems and FACTS.