Research on two‐level energy management based on tiered demand response and energy storage systems
Abstract In response to the escalating demands of the electricity market for load dispatch optimization and the stable operation of power systems, the design of effective incentive mechanisms to guide user electricity consumption behaviour has become an urgent task. This study addresses the complexi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.13010 |
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| _version_ | 1832579818787438592 |
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| author | Danhao Wang Daogang Peng Dongmei Huang Lan Ren |
| author_facet | Danhao Wang Daogang Peng Dongmei Huang Lan Ren |
| author_sort | Danhao Wang |
| collection | DOAJ |
| description | Abstract In response to the escalating demands of the electricity market for load dispatch optimization and the stable operation of power systems, the design of effective incentive mechanisms to guide user electricity consumption behaviour has become an urgent task. This study addresses the complexity of the power load dispatch system by analysing the characteristics and interrelations of large‐scale user load demand responses. A dual‐layer energy management model was constructed, and a demand response incentive mechanism was designed. Adaptive incentive strategies were formulated according to different electric power user demand response scenarios. Furthermore, an optimal incentive decision‐making technology oriented towards user comfort was proposed, achieving an integrated function of strategy formulation, implementation, analysis, and optimization for power demand response. Through typical applications in core business scenarios such as elasticity of power user demand response, tiered incentive mechanisms, and comprehensive user utility, the model and strategies have been confirmed to optimize the economic benefits of virtual power plants and demand‐side electricity users under the premise of ensuring user comfort. This provides a novel solution for the efficient operation of the power market. |
| format | Article |
| id | doaj-art-9a9955afe9ce49a8be7078604b49bca4 |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-9a9955afe9ce49a8be7078604b49bca42025-01-30T12:15:53ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118163610362310.1049/rpg2.13010Research on two‐level energy management based on tiered demand response and energy storage systemsDanhao Wang0Daogang Peng1Dongmei Huang2Lan Ren3College of Electric Power Engineering Shanghai University of Electric Power Shanghai ChinaCollege of Automation Engineering Shanghai University of Electric Power Shanghai ChinaCollege of Electric Power Engineering Shanghai University of Electric Power Shanghai ChinaInstitute of Computing and ApplicationsState Grid Smart Grid Research Institute Company LimitedBeijing ChinaAbstract In response to the escalating demands of the electricity market for load dispatch optimization and the stable operation of power systems, the design of effective incentive mechanisms to guide user electricity consumption behaviour has become an urgent task. This study addresses the complexity of the power load dispatch system by analysing the characteristics and interrelations of large‐scale user load demand responses. A dual‐layer energy management model was constructed, and a demand response incentive mechanism was designed. Adaptive incentive strategies were formulated according to different electric power user demand response scenarios. Furthermore, an optimal incentive decision‐making technology oriented towards user comfort was proposed, achieving an integrated function of strategy formulation, implementation, analysis, and optimization for power demand response. Through typical applications in core business scenarios such as elasticity of power user demand response, tiered incentive mechanisms, and comprehensive user utility, the model and strategies have been confirmed to optimize the economic benefits of virtual power plants and demand‐side electricity users under the premise of ensuring user comfort. This provides a novel solution for the efficient operation of the power market.https://doi.org/10.1049/rpg2.13010energy conservationenergy management systemshybrid renewable energy systemsload dispatchingload managementpower generation scheduling |
| spellingShingle | Danhao Wang Daogang Peng Dongmei Huang Lan Ren Research on two‐level energy management based on tiered demand response and energy storage systems IET Renewable Power Generation energy conservation energy management systems hybrid renewable energy systems load dispatching load management power generation scheduling |
| title | Research on two‐level energy management based on tiered demand response and energy storage systems |
| title_full | Research on two‐level energy management based on tiered demand response and energy storage systems |
| title_fullStr | Research on two‐level energy management based on tiered demand response and energy storage systems |
| title_full_unstemmed | Research on two‐level energy management based on tiered demand response and energy storage systems |
| title_short | Research on two‐level energy management based on tiered demand response and energy storage systems |
| title_sort | research on two level energy management based on tiered demand response and energy storage systems |
| topic | energy conservation energy management systems hybrid renewable energy systems load dispatching load management power generation scheduling |
| url | https://doi.org/10.1049/rpg2.13010 |
| work_keys_str_mv | AT danhaowang researchontwolevelenergymanagementbasedontiereddemandresponseandenergystoragesystems AT daogangpeng researchontwolevelenergymanagementbasedontiereddemandresponseandenergystoragesystems AT dongmeihuang researchontwolevelenergymanagementbasedontiereddemandresponseandenergystoragesystems AT lanren researchontwolevelenergymanagementbasedontiereddemandresponseandenergystoragesystems |