Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system
Abstract To improve the adaptability of grid load collaborative scheduling, a multi-objective collaborative scheduling method based on a simulated annealing algorithm for the load storage of grid loads on the load side of a new power system is proposed. Local bus transmission technology is adopted t...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-01-01
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| Series: | Energy Informatics |
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| Online Access: | https://doi.org/10.1186/s42162-024-00452-x |
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| _version_ | 1832594450568708096 |
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| author | Xinming Wang Huayang Liang Xiaobo Jia Shihui Li Shengyang Kang Yan Gao |
| author_facet | Xinming Wang Huayang Liang Xiaobo Jia Shihui Li Shengyang Kang Yan Gao |
| author_sort | Xinming Wang |
| collection | DOAJ |
| description | Abstract To improve the adaptability of grid load collaborative scheduling, a multi-objective collaborative scheduling method based on a simulated annealing algorithm for the load storage of grid loads on the load side of a new power system is proposed. Local bus transmission technology is adopted to collect the dynamic parameters of energy network load energy storage on the load side of the new power system. The collected load dynamic parameters are fused with energy distribution state parameters to extract the state characteristics of energy network load storage. The simulated annealing algorithm is adopted to realize the load characteristics fusion and adaptive scheduling processing of energy network on the load side of the power system, and the spectral characteristics of the load dynamic parameters are extracted. The dynamic scheduling method of simulated annealing is used to realize the multi-objective optimization of dynamic load of energy network. Based on the co-optimization results of simulated annealing, the optimization application of the simulated annealing algorithm in the multi-objective co-scheduling of loads and energy storage in a new power system is realized. The experimental results show that after 400 iterations, the control convergence accuracy of the proposed method reaches 0.980, which is significantly better than that of the comparison method, and performs well in terms of scheduling efficiency improvement, load scheduling stability, scheduling time and energy waste ratio, proving that the method has good multi-objective integration and strong optimization ability in the scheduling process, and improves the load balanced scheduling and adaptive control ability of the power system. |
| format | Article |
| id | doaj-art-f47bfc492a0c464cafd9509976bb6e72 |
| institution | Kabale University |
| issn | 2520-8942 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Energy Informatics |
| spelling | doaj-art-f47bfc492a0c464cafd9509976bb6e722025-01-19T12:40:37ZengSpringerOpenEnergy Informatics2520-89422025-01-018111510.1186/s42162-024-00452-xApplication of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power systemXinming Wang0Huayang Liang1Xiaobo Jia2Shihui Li3Shengyang Kang4Yan Gao5State Grid Hebei Electric Power Co., Ltd.State Grid Hebei Electric Power Co., Ltd.State Grid Hebei Electric Power Co., Ltd.State Grid Hebei Electric Power Co., Ltd.State Grid Hebei Electric Power Co., Ltd.State Grid Hebei Electric Power Co., Ltd.Abstract To improve the adaptability of grid load collaborative scheduling, a multi-objective collaborative scheduling method based on a simulated annealing algorithm for the load storage of grid loads on the load side of a new power system is proposed. Local bus transmission technology is adopted to collect the dynamic parameters of energy network load energy storage on the load side of the new power system. The collected load dynamic parameters are fused with energy distribution state parameters to extract the state characteristics of energy network load storage. The simulated annealing algorithm is adopted to realize the load characteristics fusion and adaptive scheduling processing of energy network on the load side of the power system, and the spectral characteristics of the load dynamic parameters are extracted. The dynamic scheduling method of simulated annealing is used to realize the multi-objective optimization of dynamic load of energy network. Based on the co-optimization results of simulated annealing, the optimization application of the simulated annealing algorithm in the multi-objective co-scheduling of loads and energy storage in a new power system is realized. The experimental results show that after 400 iterations, the control convergence accuracy of the proposed method reaches 0.980, which is significantly better than that of the comparison method, and performs well in terms of scheduling efficiency improvement, load scheduling stability, scheduling time and energy waste ratio, proving that the method has good multi-objective integration and strong optimization ability in the scheduling process, and improves the load balanced scheduling and adaptive control ability of the power system.https://doi.org/10.1186/s42162-024-00452-xSimulated annealing algorithmNew power systemLoad sideEnergy networkMulti-objective collaborative scheduling |
| spellingShingle | Xinming Wang Huayang Liang Xiaobo Jia Shihui Li Shengyang Kang Yan Gao Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system Energy Informatics Simulated annealing algorithm New power system Load side Energy network Multi-objective collaborative scheduling |
| title | Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system |
| title_full | Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system |
| title_fullStr | Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system |
| title_full_unstemmed | Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system |
| title_short | Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system |
| title_sort | application of simulated annealing algorithm in multi objective cooperative scheduling of load and storage of source network for load side of new power system |
| topic | Simulated annealing algorithm New power system Load side Energy network Multi-objective collaborative scheduling |
| url | https://doi.org/10.1186/s42162-024-00452-x |
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