Demand Side Management for Smart Houses: A Survey

Abstract

Continuous advancements in Information and Communication Technology and the emergence of the Big Data era have altered how traditional power systems function. Such developments have led to increased reliability and efficiency, in turn contributing to operational, economic, and environmental improvements and leading to the development of a new technique known as Demand Side Management or DSM. In essence, DSM is a management activity that encourages users to optimize their electricity consumption by controlling the operation of their electrical appliances to reduce utility bills and their use during peak times. While users may save money on electricity costs by rescheduling their power consumption, they may also experience inconvenience due to the inflexibility of getting power on demand. Hence, several challenges must be considered to achieve a successful DSM. In this work, we analyze the power scheduling techniques in Smart Houses as proposed in most cited papers. We then examine the advantages and drawbacks of such methods and compare their contributions based on operational, economic, and environmental aspects.

The Planning Method of Township Regional Low-carbon Energy System Based on Demand Side Response

“…The new energy system is composed of distributed power supply, energy storage device, load, energy conversion equipment, monitoring and protection equipment, etc. On the premise of ensuring the stability of power, voltage and frequency, the autonomous power generation and distribution system uses some methods to achieve the optimal operation of the system, and has certain self adjustment and control functions [1]. The traditional energy system has a simple structure, a single type of energy, and its operation scheduling is limited to a single energy, lacking the coordination and management between different forms of energy, which leads to the low energy utilization rate of the system.…”

Smart Demand Side Management for Techno-Economic Analysis of Microgrid System

“…The DSM techniques are: load shifting, flexible load shape, strategic load growth, valley filling, strategic conservation and peak clipping [12], [16]- [18] 1.Valley filling: increase the load during off-peak hours by reducing tariffs to encourage customers to spend energy. This technique can be achieved by thermal energy storage 2.Peak clipping: decrease the load during peak hours when the generated power is not enough to cover the peak demand 3.Load shifting: the demand is shifted from peak to off-peak hours by reducing tariffs to encourage customers to spend energy 4.Strategic conservation: used to reduce the overall energy consumption 5.Strategic load growth: used to increase the overall energy consumption by reducing tariffs to encourage customers to spend energy 6.Flexible load shape: it is used to shift peak energy at the time of reducing costs, or at the time with more renewable energy resource availability, in order to allow the utility to meet system recruitments.…”