Progress on the demand side management in smart grid and optimization approaches

Abstract

The integration of demand side management (DSM) with smart grid (SG) can facilitate residents' transfer into smart homes and sustainable cities by reducing the carbon emission. This manuscript reviews the recent works related to the application of DSM in SG through discussing the techniques and algorithms and their associated challenges for effective implementation. This paper also critically discusses the operation mode of DSM, the profile of energy production, storage and consumption, and finally the benefit obtained by the DSM implementation. Previous literature suggested that DSM practice reduced peak-to-average ratio, energy cost and carbon emission by approximately 10% to 65%, 5% to 50%, and 14%, respectively. The implementation of DSM in SG deals with a number of challenges such as security and privacy, tariff regulation, energy transmission, distribution, and effective utilization of energy resources. A number of international organizations have taken various measures and solutions to guarantee the security and privacy of the DSM in SG discussed. So far, a number of algorithms have been used as optimization approach to solve the DSM optimization problems; however hybrid algorithms have showed better performance than single algorithms due to their faster convergence speed. At the end, the paper presents the research gaps and future research directions.

Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review

“…Merging ICT and CI gives a fresh breath, while the concept of DSM is based upon these features. Besides advocating users to take an active part in the power sector, DSM also appraises distributed power generation sources (Arteconi et al, 2017;Sarker et al, 2021). To prevent line losses due to distant transportation of power, localized small-scale power generation plant/s (capable of handling local load based on forecasted demand) is a vital solution.…”

“…These power reserves can be storage devices or small-scale Renewable Energy Sources (RES) or a combination of both (Distributed Energy Resources (DER)). An extensive review of DSM tools is presented in Hussain et al (2020), Sarker et al (2021), Tang et al (2019), and Khan (2019).…”

Satisfaction-Based Energy Allocation with Energy Constraint Applying Cooperative Game Theory

“…PS and ES were computed hourly and incorporated the detrimental impact that excess consumption can have in the quality of life. Although the state of art may offer other traditional [20] and metaheuristics [21] multi-objective based approaches, the present novel SV-based game-theoretic approach, as seen in mentioned research, offers a simpler and more intuitive way to tackle the problem.…”

A bilevel programming approach for real‐time pricing strategy of smart grid considering multi‐microgrids connection

“…MG plays a significant supplementary role in the energy system, because it can flexibly adjust DE, battery energy storage system (BESS), and various loads participating in DSM to maintain the stability of the power grid 2 . In addition, it can operate in an island or grid‐connected mode, which can improve the effectiveness of utilization of energy.…”