Smart City Gnosys
Smart city article details
| Title | An Innovative Optimization Approach For Energy Management Of A Microgrid System |
|---|---|
| ID_Doc | 8383 |
| Authors | Amoura Y.; Pereira A.I.; Lima J.; Ferreira A.; Boukli-Hacene F.; Torres S. |
| Year | 2023 |
| Published | International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 |
| DOI | http://dx.doi.org/10.1109/ICECCME57830.2023.10252266 |
| Abstract | The local association of electrical generator including renewable energies and storage technologies approximately installed to the client made way for a small-scale power grid called a microgrid. In certain cases, the random nature of renewable energy sources, combined with the variable pattern of demand, results in issues concerning the sustainability and reliability of the microgrid system. Furthermore, the cost of the energy coming from conventional sources is considering as matter to the private consumer due to its high fees. An improved methodology combining the simplex-based linear programming with the particle swarm optimisation approach is employed to implement an integrated power management system. The energy scheduling is done by assuming the consumption profile of a smart city. two scenarios of energy management have been suggested to illustrate the behaviour of cost and gas emissions for an optimised energy management. The results showed the reliability of the energy management system using an improvemed approach in scheduling of the energy flows for the microgrid producers, limiting the utility's cost versus an experiment that had already been done for a similar system using the identical data. The outcome of the computation identified the ideal set points of the power generators in a smart city supplied by a microgrid, while guaranteeing the comfort of the customers i.e without intermetency in the supply, also, reducing the emissions of greenhouse gases and providing an optimal exploitation cost for all smart city users. Morover, the proposed energy management system gave an inverse relation between economic and environmental aspects, in fact, a multi-objective optimization approach is performed as a continuation of the work proposed in this paper to identify all possible scenarios of the microgrid operation. © 2023 IEEE. |
| Author Keywords | Energy management system; Linear Programming; Microgrid; Particle Swarm Optimisation; Smart Sustainable Cities |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
40845  | 0.883 | Arunkumar A.P.; Kuppusamy S. | Optimizing Microgrid Designs Towards Net-Zero Emissions For Smart Cities: Addressing Energy Disparities And Access Issues In Northern And North-Eastern India | International Journal of Applied Power Engineering, 14, 1 (2025) |
| 31842 | 0.882 | Yang X.; Xu Y.; Ma C.; Yao T.; Xu L. | Integrated Energy Management Of Smart Grids In Smart Cities Based On Pso Scheduling Models | Advances in Civil Engineering, 2023 (2023) |
| 5539 | 0.879 | Sathesh Kumar T.; Venkatesan T. | A Techno-Economic Optimal Evaluation And Feasibility Analysis Of Hybrid Microgrid Electrification For Smart Cities In Tamil Nadu | Electric Power Components and Systems, 52, 11 (2024) |
| 3362 | 0.875 | Li B.; Tan W. | A Novel Framework For Integrating Solar Renewable Source Into Smart Cities Through Digital Twin Simulations | Solar Energy, 262 (2023) |
| 22295 | 0.872 | Manzoor A.; Akram W.; Judge M.A.; Khan N.; Khattak H.A. | Efficient Economic Energy Scheduling In Smart Cities Using Distributed Energy Resources | Science and Technology for Energy Transition (STET), 79 (2024) |
| 3777 | 0.869 | Ben Arab M.; Rekik M.; Krichen L. | A Priority-Based Seven-Layer Strategy For Energy Management Cooperation In A Smart City Integrated Green Technology | Applied Energy, 335 (2023) |
| 51618 | 0.863 | Jiang J.; Li Y.; Li Y.; Li C.; Yu L.; Li L. | Smart Transportation Systems Using Learning Method For Urban Mobility And Management In Modern Cities | Sustainable Cities and Society, 108 (2024) |
| 2514 | 0.863 | Mechleri E.; Arellano-Garcia H. | A Mathematical Programming Approach To Optimal Design Of Smart Distributed Energy Systems | Computer Aided Chemical Engineering, 44 (2018) |
| 6320 | 0.862 | Namvar A.; Salehi J. | Adaptive Residential Energy Hubs Scheduling Considering Renewable Sources | Journal of Operation and Automation in Power Engineering, 12, 2 (2024) |
| 3546 | 0.86 | Shokri M.; Niknam T.; Mohammadi M.; Dehghani M.; Siano P.; Ouahada K.; Sarvarizade-Kouhpaye M. | A Novel Stochastic Framework For Optimal Scheduling Of Smart Cities As An Energy Hub | IET Generation, Transmission and Distribution, 18, 14 (2024) |