Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation
In recent years, the optimal scheduling of multienergy has become the focus of the research. Against this background, this paper builds a model of a multienergy flow system of cooling, heating, and power, and advanced adiabatic compressed air energy storage (AA-CAES) is introduced to smooth wind pow...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/7197676 |
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| author | Chenxi Wu Hanxiao Hong Suoyin Ni Y. L. Lou |
| author_facet | Chenxi Wu Hanxiao Hong Suoyin Ni Y. L. Lou |
| author_sort | Chenxi Wu |
| collection | DOAJ |
| description | In recent years, the optimal scheduling of multienergy has become the focus of the research. Against this background, this paper builds a model of a multienergy flow system of cooling, heating, and power, and advanced adiabatic compressed air energy storage (AA-CAES) is introduced to smooth wind power generation (WPG) and supply heating/cooling energy. Simulated annealing algorithm (SAA) is employed to energy-saving scheduling of the system with “exergy assessment” method. The energy-saving index and the exergy efficiency are compared in different cases. SAA is compared with the particle swarm optimization (PSO) algorithm in solving the optimal scheduling strategy. The cooling, heating, and power demands of an industrial park and WPG in typical days are employed to the simulation. The scheduling results of exergy input of SAA are far less than those of PSO in typical days of different seasons. The multienergy system without AA-CAES is also modeled, and energy-saving economic scheduling is carried out. The exergy efficiency of the system with AA-CAES is between 38% and 58% while the exergy efficiency of the system without AA-CAES is merely between 27% and 48%. |
| format | Article |
| id | doaj-art-6a07c1260e6541b4a7b928dca78625eb |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-6a07c1260e6541b4a7b928dca78625eb2025-08-20T03:34:08ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/7197676Optimal Scheduling of Multi-energy System Considering Economy and Energy ConservationChenxi Wu0Hanxiao Hong1Suoyin Ni2Y. L. Lou3School of AutomationSchool of AutomationSchool of AutomationCollege of Electrical EngineeringIn recent years, the optimal scheduling of multienergy has become the focus of the research. Against this background, this paper builds a model of a multienergy flow system of cooling, heating, and power, and advanced adiabatic compressed air energy storage (AA-CAES) is introduced to smooth wind power generation (WPG) and supply heating/cooling energy. Simulated annealing algorithm (SAA) is employed to energy-saving scheduling of the system with “exergy assessment” method. The energy-saving index and the exergy efficiency are compared in different cases. SAA is compared with the particle swarm optimization (PSO) algorithm in solving the optimal scheduling strategy. The cooling, heating, and power demands of an industrial park and WPG in typical days are employed to the simulation. The scheduling results of exergy input of SAA are far less than those of PSO in typical days of different seasons. The multienergy system without AA-CAES is also modeled, and energy-saving economic scheduling is carried out. The exergy efficiency of the system with AA-CAES is between 38% and 58% while the exergy efficiency of the system without AA-CAES is merely between 27% and 48%.http://dx.doi.org/10.1155/2023/7197676 |
| spellingShingle | Chenxi Wu Hanxiao Hong Suoyin Ni Y. L. Lou Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation International Transactions on Electrical Energy Systems |
| title | Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation |
| title_full | Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation |
| title_fullStr | Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation |
| title_full_unstemmed | Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation |
| title_short | Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation |
| title_sort | optimal scheduling of multi energy system considering economy and energy conservation |
| url | http://dx.doi.org/10.1155/2023/7197676 |
| work_keys_str_mv | AT chenxiwu optimalschedulingofmultienergysystemconsideringeconomyandenergyconservation AT hanxiaohong optimalschedulingofmultienergysystemconsideringeconomyandenergyconservation AT suoyinni optimalschedulingofmultienergysystemconsideringeconomyandenergyconservation AT yllou optimalschedulingofmultienergysystemconsideringeconomyandenergyconservation |