Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies
Demand response programmes are used in microgrid research without considering the different price elasticity of distinct load types. To evaluate the impacts of demand response efforts, it is necessary to utilise a mix of nonlinear and linear models for creating load-responsive models in a manner tha...
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| Language: | English |
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Elsevier
2024-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024012489 |
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| author | Bishwajit Dey Gulshan Sharma P.N. Bokoro |
| author_facet | Bishwajit Dey Gulshan Sharma P.N. Bokoro |
| author_sort | Bishwajit Dey |
| collection | DOAJ |
| description | Demand response programmes are used in microgrid research without considering the different price elasticity of distinct load types. To evaluate the impacts of demand response efforts, it is necessary to utilise a mix of nonlinear and linear models for creating load-responsive models in a manner that is realistic. With an aim to address this gap in research, an exhaustive technoeconomic investigation is being conducted to determine the effect that price-dependent demand response programmes have on the optimal scheduling of microgrids when linear and nonlinear load models are present. The flexible elasticity model is used to accurately describe how customers respond to changes in electricity price. Four load models, including exponential, hyperbolic, linear, and logarithmic, were constructed for each demand response programme. Rime is a newly created physics-based algorithm that has been deployed to handle the anticipated energy management problem that the microgrid may be experiencing. To evaluate the efficacy of the proposed strategy, four case studies based on grid price and participation scenarios have been carried out. The findings from our research are notably impactful, revealing an 8 % reduction in energy consumption when applying the critical peak price (CPP) load demand model. This efficiency gain translates into a notable enhancement in the load factor, increasing from 0.83 to 0.86, and a significant drop in overall generation costs from $25,463 to $21,823 under optimal conditions. These results vividly illustrate the practical value of our proposed research work, showcasing their ability to generate substantial energy savings and cost efficiencies in microgrid operations. The improvements in operational efficiency and cost-effectiveness underscore the potential of these models to refine microgrid management, delivering both economic and performance gains that are crucial for advancing sustainable energy solutions. |
| format | Article |
| id | doaj-art-84fe6b1b5e8f4564bca4a32c6946a54e |
| institution | OA Journals |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-84fe6b1b5e8f4564bca4a32c6946a54e2025-08-20T01:58:31ZengElsevierResults in Engineering2590-12302024-12-012410299310.1016/j.rineng.2024.102993Economic management of microgrid using flexible non-linear load models based on price-based demand response strategiesBishwajit Dey0Gulshan Sharma1P.N. Bokoro2Corresponding author.; Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South AfricaDepartment of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South AfricaDepartment of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South AfricaDemand response programmes are used in microgrid research without considering the different price elasticity of distinct load types. To evaluate the impacts of demand response efforts, it is necessary to utilise a mix of nonlinear and linear models for creating load-responsive models in a manner that is realistic. With an aim to address this gap in research, an exhaustive technoeconomic investigation is being conducted to determine the effect that price-dependent demand response programmes have on the optimal scheduling of microgrids when linear and nonlinear load models are present. The flexible elasticity model is used to accurately describe how customers respond to changes in electricity price. Four load models, including exponential, hyperbolic, linear, and logarithmic, were constructed for each demand response programme. Rime is a newly created physics-based algorithm that has been deployed to handle the anticipated energy management problem that the microgrid may be experiencing. To evaluate the efficacy of the proposed strategy, four case studies based on grid price and participation scenarios have been carried out. The findings from our research are notably impactful, revealing an 8 % reduction in energy consumption when applying the critical peak price (CPP) load demand model. This efficiency gain translates into a notable enhancement in the load factor, increasing from 0.83 to 0.86, and a significant drop in overall generation costs from $25,463 to $21,823 under optimal conditions. These results vividly illustrate the practical value of our proposed research work, showcasing their ability to generate substantial energy savings and cost efficiencies in microgrid operations. The improvements in operational efficiency and cost-effectiveness underscore the potential of these models to refine microgrid management, delivering both economic and performance gains that are crucial for advancing sustainable energy solutions.http://www.sciencedirect.com/science/article/pii/S2590123024012489Sustainable development goals (SDG)Price based demand responseMicrogrid energy managementElectricity market priceRIME optimization |
| spellingShingle | Bishwajit Dey Gulshan Sharma P.N. Bokoro Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies Results in Engineering Sustainable development goals (SDG) Price based demand response Microgrid energy management Electricity market price RIME optimization |
| title | Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies |
| title_full | Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies |
| title_fullStr | Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies |
| title_full_unstemmed | Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies |
| title_short | Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies |
| title_sort | economic management of microgrid using flexible non linear load models based on price based demand response strategies |
| topic | Sustainable development goals (SDG) Price based demand response Microgrid energy management Electricity market price RIME optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024012489 |
| work_keys_str_mv | AT bishwajitdey economicmanagementofmicrogridusingflexiblenonlinearloadmodelsbasedonpricebaseddemandresponsestrategies AT gulshansharma economicmanagementofmicrogridusingflexiblenonlinearloadmodelsbasedonpricebaseddemandresponsestrategies AT pnbokoro economicmanagementofmicrogridusingflexiblenonlinearloadmodelsbasedonpricebaseddemandresponsestrategies |