COMMUNITY BASED HOME ENERGY MANAGEMENT SYSTEM

  • Muhammad Adnan Aziz Isra University, Islamabad Campus, Pakistan
  • Ijaz Mansoor Qureshi Air University, Islamabad
  • Tanweer Ahmed Cheema Isra University, Islamabad Campus, Pakistan
  • Engr. Akram Rashid Air University, Islamabad

Abstract

In a Smart Grid (SG) scenario, domestic consumers can gain cost reduction benefit by scheduling their Appliance Activation Time (AAT) towards the slots of low charge. Minimization in cost is essential in Home Energy Management Systems (HEMS) to induce consumers acceptance for power scheduling to accommodate for a Demand Response (DR) at peak hours. Despite the fact that many algorithms address the power scheduling for HEMS, community based optimization has not been the focus. This paper presents an algorithm that targets the minimization of energy costs of whole community while keeping a low Peak to Average Ratio (PAR) and smooth Power Usage Pattern (PUP). Objective of cost reduction is accomplished by finding most favorable AAT by Particle Swarm Optimization (PSO) in conjunction with Inclined Block Rate (IBR) approach and Circular Price Shift (CPS). Simulated numerical results demonstrate the effectiveness of CPS to assist the merger of PSO & IBR to enhance the reduction/stability of PAR and cost reduction.

Author Biographies

Muhammad Adnan Aziz, Isra University, Islamabad Campus, Pakistan

Assistant Professor,

Department of Electronic Engineering

Ijaz Mansoor Qureshi, Air University, Islamabad

Professor,

Department of Electrical Engineering

Tanweer Ahmed Cheema, Isra University, Islamabad Campus, Pakistan

Associate Professor,

Department of Electronic Engineering

Engr. Akram Rashid, Air University, Islamabad

Assistant Professor,

Department of Electrical Engineering

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Published
2017-05-30
How to Cite
Aziz, M., Qureshi, I., Cheema, T., & Rashid, E. (2017). COMMUNITY BASED HOME ENERGY MANAGEMENT SYSTEM. IIUM Engineering Journal, 18(1), 43-55. Retrieved from http://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/657
Section
Electrical, Computer and Communications Engineering