Cost effective energy consumption in a residential building by implementing demand side management in the presence of different classes of power loads

ABSTRACT

In the present scenario, in order to meet the growing electricity demand, demand side management (DSM) is one among the various approaches used in smart grid. By applying DSM at the customer side, various benefits such as reduction in electricity cost, reduction in peak demand, and improvement in load factor can be achieved. This paper proposes a new architecture, namely, Intelligent Universal Load Management System (IULMS) to implement DSM based on load shifting approach for a residential building in the presence of different classes of loads. In this work, the objective is to minimize the cost of electricity consumption and there are several constraints imposed by the device types operating in the system and it is solved by Binary Grey Wolf Optimization algorithm. The objective function is non-linear in nature because the price of electricity varies each hour. A real-time system involving residential building users of Agrini Apartment in Madurai, Tamilnadu, India is discussed. Further, the potential of DSM is analyzed. The minimization of electricity consumption cost, peak demand, and Peak to Average Ratio (PAR) are validated for each test case.

GRAPHICAL ABSTRACT

KEYWORDS:

• Demand side management architecture
• load shifting
• Binary Particle Swarm Optimization
• Binary Grey Wolf Optimization
• smart grid

Acknowledgment

The authors extend their sincere thanks to the management of respective colleges for their constant encouragement and flexibility in doing this research work and the financial support from Science and Engineering Research Board (SERB), India under Early Career Research (ECR) Scheme (F. No. ECR/2017/000827) is gratefully acknowledged.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors extend their sincere thanks to the management of respective colleges for their constant encouragement and flexibility in doing this research work and the financial support from Science and Engineering Research Board (SERB), India under Early Career Research (ECR) Scheme (F.No.ECR/2017/000827) is gratefully acknowledged.