Energy Optimization and Power Stack Shed Reduction of Oil Depots by using Renewable Energy Resources

  • Muhammad Azhar Mahmood NFC Institute of Engineering and Technology, Multan, Pakistan
  • Muhammad Kamran Liaqat Bhatti NFC Institute of Engineering and Technology, Multan, Pakistan
  • S. Raza NFC Institute of Engineering and Technology, Multan, Pakistan
  • M. Riaz NFC Institute of Engineering and Technology, Multan, Pakistan
Keywords: Energy management, Multiple objective optimization, Branch & Bound algorithm, Binary integer linear programming

Abstract

Most of the industries including the oil sector are looking forward towards the renewable energy resources with proper energy management system (EMS) as it is the need of time. For this purpose, solar and wind energy are the renewable energy resources, which are obtained from natural resources and produce clean and environment -friendly electrical energy and can be used for oil depots. The proper utilization of solar and wind energy from natural resource may result in economical and cost-effective EMS. In the proposed research work, an effective energy management demonstration is delivered to ensure the ceaseless flexibility of power. Furthermore, reduction of production per unit cost to the oil sector industry by utilizing multiple objectives streamlining. In the proposed oil depot, connected loads are divided into Shiftable and Non-Shiftable loads and then apply Branch and Bound Algorithm (BnB) with binary integer linear programming (BILP). By using the BnB technique, selected shiftable loads are shifted to the low cost energy resource automatically and resultantly, we get the low price unit cost and continuous power supply. Simulation results for the above-mentioned research work are performed on MATLAB. The proposed technique helps to reduce the power stack shedding issue as well.

Published
2021-06-30
How to Cite
[1]
M. Mahmood, M. K. Bhatti, S. Raza, and M. Riaz, “Energy Optimization and Power Stack Shed Reduction of Oil Depots by using Renewable Energy Resources”, PakJET, vol. 4, no. 2, pp. 125-130, Jun. 2021.