Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control
Using renewable energy sources (RESs) has increased extensively to minimize global warming and greenhouse gases. This increase in the adoption of RESs has brought a considerable alteration in the topologies of traditional power networks to become novel power networks along with microgrids...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academia.edu Journals
2024-09-01
|
| Series: | Academia Green Energy |
| Online Access: | https://www.academia.edu/123985369/Maximizing_Microgrid_Efficiency_A_Unified_Approach_with_Extended_Optimal_Propositional_Logic_Control |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823857263747530752 |
|---|---|
| author | Muhammed Cavus |
| author_facet | Muhammed Cavus |
| author_sort | Muhammed Cavus |
| collection | DOAJ |
| description |
Using renewable energy sources (RESs) has increased extensively to minimize global warming and greenhouse gases. This increase in the adoption of RESs has brought a considerable alteration in the topologies of traditional power networks to become novel power networks along with microgrids (MGs). An MG can be defined as a system integrating different types of energy sources and control devices. Nevertheless, the controllability of an MG is not straightforward. ε-Variable-based propositional logic control (P-PLC) strategies are practical techniques for designing control strategies in MGs. The P-PLC method makes the control structure more flexible. However, this method is not optimal. On the contrary, switched rule-based control (S-RBC) is a more effective and advanced method to control an MG than other control techniques. Nonetheless, the implementation of the S-RBC is not straightforward. To address these issues, this work suggests a novel systems approach method called the extended optimal P-PLC, created by integrating the P-PLC-based control method with the S-RBC method. This novel technology revealed a considerable improvement in optimizing an MG’s energy management and enhanced the efficiency and performance of the MG’s control structure. These case studies demonstrate that the suggested extended optimal P-PLC method (i) reduces the operational cost of MG by roughly 28%, (ii) increases the photovoltaic (PV) utilization by nearly 45%, and (iii) penalizes the accumulators to prevent charging from the grid. By converting the results of S-RBC to the P-PLC method, our novel extended optimal P-PLC considerably improves the efficiency and performance of the MG’s control structure. |
| format | Article |
| id | doaj-art-2d8e9576b9c64dfb88ffe13bcd57b871 |
| institution | Kabale University |
| issn | 2998-3665 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Academia.edu Journals |
| record_format | Article |
| series | Academia Green Energy |
| spelling | doaj-art-2d8e9576b9c64dfb88ffe13bcd57b8712025-02-11T21:58:30ZengAcademia.edu JournalsAcademia Green Energy2998-36652024-09-011210.20935/AcadEnergy7340Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic ControlMuhammed Cavus0Electrical Engineering, School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK. Using renewable energy sources (RESs) has increased extensively to minimize global warming and greenhouse gases. This increase in the adoption of RESs has brought a considerable alteration in the topologies of traditional power networks to become novel power networks along with microgrids (MGs). An MG can be defined as a system integrating different types of energy sources and control devices. Nevertheless, the controllability of an MG is not straightforward. ε-Variable-based propositional logic control (P-PLC) strategies are practical techniques for designing control strategies in MGs. The P-PLC method makes the control structure more flexible. However, this method is not optimal. On the contrary, switched rule-based control (S-RBC) is a more effective and advanced method to control an MG than other control techniques. Nonetheless, the implementation of the S-RBC is not straightforward. To address these issues, this work suggests a novel systems approach method called the extended optimal P-PLC, created by integrating the P-PLC-based control method with the S-RBC method. This novel technology revealed a considerable improvement in optimizing an MG’s energy management and enhanced the efficiency and performance of the MG’s control structure. These case studies demonstrate that the suggested extended optimal P-PLC method (i) reduces the operational cost of MG by roughly 28%, (ii) increases the photovoltaic (PV) utilization by nearly 45%, and (iii) penalizes the accumulators to prevent charging from the grid. By converting the results of S-RBC to the P-PLC method, our novel extended optimal P-PLC considerably improves the efficiency and performance of the MG’s control structure.https://www.academia.edu/123985369/Maximizing_Microgrid_Efficiency_A_Unified_Approach_with_Extended_Optimal_Propositional_Logic_Control |
| spellingShingle | Muhammed Cavus Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control Academia Green Energy |
| title | Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control |
| title_full | Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control |
| title_fullStr | Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control |
| title_full_unstemmed | Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control |
| title_short | Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control |
| title_sort | maximizing microgrid efficiency a unified approach with extended optimal propositional logic control |
| url | https://www.academia.edu/123985369/Maximizing_Microgrid_Efficiency_A_Unified_Approach_with_Extended_Optimal_Propositional_Logic_Control |
| work_keys_str_mv | AT muhammedcavus maximizingmicrogridefficiencyaunifiedapproachwithextendedoptimalpropositionallogiccontrol |