Smart City Gnosys
Smart city article details
| Title | Conceptual Review On Demand Side Management, Optimization Techniques For The Improvement Of Power Quality In Smart Grids |
|---|---|
| ID_Doc | 15535 |
| Authors | Sekhar D.C.; Rao P.V.V.R.; Kiranmayi R. |
| Year | 2022 |
| Published | Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022 |
| DOI | http://dx.doi.org/10.1109/ICAIS53314.2022.9742779 |
| Abstract | The Smart Grid (SG) is an anomalous emergence to move energy commerce in formative generation of modernized grid where all kinds of power systems operations are managed intellectually and harmoniously via two-way automation system. The pertinence to technology domains of smart grids variegating in functions and forms, shares prevailing prospects like smart energy reduction, structured amalgamation of demand response and distributed generation of renewable energy. This manuscript confers electric review categorically on new-fangled progressions and anterior developments in SG paradigm research over the past years. The prelude of manuscript emphasizes concept and the architecture of SG. The trail bestows in depth, the modern advances in management of energy testimony in grid, forms of tariffing in rejuvenated electricity grid, and the predominant components of smart grid. Smart cities reliance on radical communication infrastructures advocates, greater agitates in connection with data integrity, featuring emerging developments in pricing mechanisms, highlights multi-objective optimization problem that has high reliability, low user end price, sustainability, and algorithms used in smart grid. Multi-Objection Co-Operative Schedule (MOCSF) depreciates power yield at peak loads, beneath an impediment environment. SG abilities are used to comprehend harmonious containment, where MOCSF is augmented to set consumers issue affiliations if user demands load stable, actuate on start and end time, the power utilization groove and mode of exertion are correlated. In this review the concepts of Demand Side Management (DSM), and the optimization techniques of SG are highlighted. © 2022 IEEE. |
| Author Keywords | Data integrity; Energy data; multi-objective optimization; Power generation; Pricing mechanism; reliability; sustainability |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
927  | 0.902 | Alotaibi I.; Abido M.A.; Khalid M.; Savkin A.V. | A Comprehensive Review Of Recent Advances In Smart Grids: A Sustainable Future With Renewable Energy Resources | Energies, 13, 23 (2020) |
| 5267 | 0.89 | Said D. | A Survey On Information Communication Technologies In Modern Demand-Side Management For Smart Grids: Challenges, Solutions, And Opportunities | IEEE Engineering Management Review, 51, 1 (2023) |
| 16300 | 0.885 | Wanjala J.; Langa H.M.; Walingo T. | Cost Minimization In A Smart Grid Using A Genetic Algorithm | International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024 (2024) |
| 40367 | 0.873 | Azasoo J.Q.; Kanakis T.; Al-Sherbaz A.; Opoku Agyeman M. | Optimal Demand Side Management In Generation Constrained Power Systems | Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (2019) |
| 50963 | 0.866 | Bonetto R.; Rossi M. | Smart Grid For The Smart City | Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions (2016) |
| 27522 | 0.865 | Yang H.; Zhang S.; Zeng J.; Tang S.; Xiong S. | Future Of Sustainable Renewable-Based Energy Systems In Smart City Industry: Interruptible Load Scheduling Perspective | Solar Energy, 263 (2023) |
| 40751 | 0.864 | Hou L.; Tong X.; Chen H.; Fan L.; Liu T.; Liu W.; Liu T. | Optimized Scheduling Of Smart Community Energy Systems Considering Demand Response And Shared Energy Storage | Energy, 295 (2024) |
| 3310 | 0.863 | Arshad M.A.; Hasnain S.; Arshad N. | A Novel Demand Side Management (Dsm) Technique For Electric Grids With High Renewable Energy Mix Using Hierarchical Clustering Of Loads | SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems (2019) |
| 40628 | 0.862 | Fernandez V.; Pérez V. | Optimization Of Electric Vehicle Charging Control In A Demand-Side Management Context: A Model Predictive Control Approach | Applied Sciences (Switzerland), 14, 19 (2024) |
| 51038 | 0.861 | Hussain S.; Imran Azim M.; Lai C.; Eicker U. | Smart Home Integration And Distribution Network Optimization Through Transactive Energy Framework – A Review | Applied Energy, 395 (2025) |