Modified Flower Pollination Algorithm for Energy Forecasting and Demand Management Coupled with Improved Battery Life for Smart Building Micro-Grid
Journal article
Hamza, Ali, Ali, Zunaib, Dudley, Sandra, Uneeb, Muhammad, Alghamdi, Sultan M and Christofides, Nicholas (2024). Modified Flower Pollination Algorithm for Energy Forecasting and Demand Management Coupled with Improved Battery Life for Smart Building Micro-Grid. 2024 IEEE Texas Power and Energy Conference (TPEC). https://doi.org/10.1109/tpec60005.2024.10472245
| Authors | Hamza, Ali, Ali, Zunaib, Dudley, Sandra, Uneeb, Muhammad, Alghamdi, Sultan M and Christofides, Nicholas |
|---|---|
| Abstract | This paper presents the Modified Flower Pollination Algorithm-based Multi-Layer Perceptron Neural Network (MFPA-MLPNN) as an optimization technique for efficient power flow management in a Smart Building Microgrid (SBMG) integrated with solar and wind generation, and Electric Vehicle Batteries (EVBs) within grid connected structure while concurrently reducing optimization processing time. To achieve both technical and economic superiority, two optimization objectives are addressed. Firstly, a Demand Response (DR) framework is harnessed to accommodate the stochastic behavior and forecasting errors associated with intermittent sources. Secondly, the degradation of EVBs is considered, ensuring an economically viable power flow proposed strategy for both EV owners and microgrid (MG) authorities. Power generation of Variable Renewable Energy Sources (VRES) has been forecasted using MLPNN. Battery degradation and system stability under the action of the proposed topology have been evaluated using a simulation-based environment. Results show a significant decrease in battery degradation and processing time using the proposed MFPA-MLPNN optimization architecture |
| Keywords | Smart Building Microgrid, Renewable energy, Electric vehicle batteries, Energy management, Demand re- sponse, Flower pollination algorithm. |
| Year | 2024 |
| Journal | 2024 IEEE Texas Power and Energy Conference (TPEC) |
| Publisher | IEEE |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/tpec60005.2024.10472245 |
| Web address (URL) | https://ieeexplore.ieee.org/document/10472245 |
| Publication dates | |
| 22 Mar 2024 | |
| Publication process dates | |
| Accepted | 12 Feb 2024 |
| Deposited | 10 Apr 2024 |
| Accepted author manuscript | License File Access Level Open |
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| Modified_Flower_Pollination_Algorithm_for_Energy_Forecasting_and_Demand_Management_coupled_with_Improved_Battery_Life_for_Smart_Building_Micro_grid.pdf | ||
| License: CC BY 4.0 | ||
| File access level: Open | ||
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