An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system
Abstract The cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus of recent work on microgrid energy management. In order to improve load factor and efficiency, load-shifting techniques are frequently used in conjunction with addit...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-85175-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841544616546926592 |
|---|---|
| author | Bishwajit Dey Gulshan Sharma Pitshou N. Bokoro Soham Dutta |
| author_facet | Bishwajit Dey Gulshan Sharma Pitshou N. Bokoro Soham Dutta |
| author_sort | Bishwajit Dey |
| collection | DOAJ |
| description | Abstract The cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus of recent work on microgrid energy management. In order to improve load factor and efficiency, load-shifting techniques are frequently used in conjunction with additional complex constraints such as PHEV scheduling and battery life assessment. Pollutant reduction, however, is rarely highlighted as a primary goal. An incentive-based demand response (IBDR) is introduced in the proposed work to close this gap and promote load curtailment during peak hours. IBDR policy rewards participant customers with incentives for load curtailment which in turn lowers emissions and generation costs. Furthermore, a trade-off approach ensures both environmental and economic sustainability by striking a balance between cost reduction and emission reduction. Considering the fact in view that the 30–40% of the microgrid customers are willing to participate in the IBDR program, six different scenarios that have been analysed, each of which involves various levels of grid participation and different approaches to pricing in the electricity market. These scenarios also include the implementation of demand response programmes. Differential evolution algorithm was used as the optimization tool for the study. The results achieved for all the scenarios demonstrate the suitability and effectiveness of implementing the suggested IBDR strategy in terms of cost savings. According to numerical results reported, the generating cost decreased by 10–13% with the inclusion of IBDR. Additionally, a 6–8% reduction in peak and 4–5% improvement in load factor was also realised as a positive impact of the IBDR policy. The weighted economic emission dispatch algorithm offered a balanced solution that considered both the minimum generation cost and emissions for various load models in the microgrid system. |
| format | Article |
| id | doaj-art-b95e0b4fb8c3444a9edc8a388697a993 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-b95e0b4fb8c3444a9edc8a388697a9932025-01-12T12:24:42ZengNature PortfolioScientific Reports2045-23222025-01-0115112210.1038/s41598-025-85175-zAn intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid systemBishwajit Dey0Gulshan Sharma1Pitshou N. Bokoro2Soham Dutta3Department of Electrical Engineering Technology, University of JohannesburgDepartment of Electrical Engineering Technology, University of JohannesburgDepartment of Electrical Engineering Technology, University of JohannesburgDepartment of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher EducationAbstract The cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus of recent work on microgrid energy management. In order to improve load factor and efficiency, load-shifting techniques are frequently used in conjunction with additional complex constraints such as PHEV scheduling and battery life assessment. Pollutant reduction, however, is rarely highlighted as a primary goal. An incentive-based demand response (IBDR) is introduced in the proposed work to close this gap and promote load curtailment during peak hours. IBDR policy rewards participant customers with incentives for load curtailment which in turn lowers emissions and generation costs. Furthermore, a trade-off approach ensures both environmental and economic sustainability by striking a balance between cost reduction and emission reduction. Considering the fact in view that the 30–40% of the microgrid customers are willing to participate in the IBDR program, six different scenarios that have been analysed, each of which involves various levels of grid participation and different approaches to pricing in the electricity market. These scenarios also include the implementation of demand response programmes. Differential evolution algorithm was used as the optimization tool for the study. The results achieved for all the scenarios demonstrate the suitability and effectiveness of implementing the suggested IBDR strategy in terms of cost savings. According to numerical results reported, the generating cost decreased by 10–13% with the inclusion of IBDR. Additionally, a 6–8% reduction in peak and 4–5% improvement in load factor was also realised as a positive impact of the IBDR policy. The weighted economic emission dispatch algorithm offered a balanced solution that considered both the minimum generation cost and emissions for various load models in the microgrid system.https://doi.org/10.1038/s41598-025-85175-zMicrogridIncentive-based demand responseEnergy managementElectricity market priceOptimization |
| spellingShingle | Bishwajit Dey Gulshan Sharma Pitshou N. Bokoro Soham Dutta An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system Scientific Reports Microgrid Incentive-based demand response Energy management Electricity market price Optimization |
| title | An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system |
| title_full | An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system |
| title_fullStr | An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system |
| title_full_unstemmed | An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system |
| title_short | An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system |
| title_sort | intelligent incentive based demand response program for exhaustive environment constrained techno economic analysis of microgrid system |
| topic | Microgrid Incentive-based demand response Energy management Electricity market price Optimization |
| url | https://doi.org/10.1038/s41598-025-85175-z |
| work_keys_str_mv | AT bishwajitdey anintelligentincentivebaseddemandresponseprogramforexhaustiveenvironmentconstrainedtechnoeconomicanalysisofmicrogridsystem AT gulshansharma anintelligentincentivebaseddemandresponseprogramforexhaustiveenvironmentconstrainedtechnoeconomicanalysisofmicrogridsystem AT pitshounbokoro anintelligentincentivebaseddemandresponseprogramforexhaustiveenvironmentconstrainedtechnoeconomicanalysisofmicrogridsystem AT sohamdutta anintelligentincentivebaseddemandresponseprogramforexhaustiveenvironmentconstrainedtechnoeconomicanalysisofmicrogridsystem AT bishwajitdey intelligentincentivebaseddemandresponseprogramforexhaustiveenvironmentconstrainedtechnoeconomicanalysisofmicrogridsystem AT gulshansharma intelligentincentivebaseddemandresponseprogramforexhaustiveenvironmentconstrainedtechnoeconomicanalysisofmicrogridsystem AT pitshounbokoro intelligentincentivebaseddemandresponseprogramforexhaustiveenvironmentconstrainedtechnoeconomicanalysisofmicrogridsystem AT sohamdutta intelligentincentivebaseddemandresponseprogramforexhaustiveenvironmentconstrainedtechnoeconomicanalysisofmicrogridsystem |