Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration
To address the challenges of reduced grid stability and wind curtailment caused by high penetration of wind energy, this paper proposes a demand response strategy that considers industrial loads and energy storage under high wind-power integration. Firstly, the adjustable characteristics of controll...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/22/7335 |
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| author | Chongyi Tian Julin Li Chunyu Wang Longlong Lin Yi Yan |
| author_facet | Chongyi Tian Julin Li Chunyu Wang Longlong Lin Yi Yan |
| author_sort | Chongyi Tian |
| collection | DOAJ |
| description | To address the challenges of reduced grid stability and wind curtailment caused by high penetration of wind energy, this paper proposes a demand response strategy that considers industrial loads and energy storage under high wind-power integration. Firstly, the adjustable characteristics of controllable resources in the power system are analyzed, and a demand response scheduling framework based on energy storage systems and industrial loads is established. Building on this foundation, a multi-scenario stochastic programming approach is employed to develop a day-ahead and intra-day multi-time-scale optimization scheduling model, aimed at maximizing economic benefits. In response to the challenges of wind-power fluctuations with high temporal resolution, a strategy for smoothing intra-day wind-power variability is further proposed. Finally, simulations are conducted to derive optimal demand response strategies for different stages. As verified by the comparison of different scheduling strategies, the demand response strategy proposed in this paper can reduce wind curtailment when there is sufficient wind power and reduce load shedding when there is insufficient wind power, which effectively reduces the system operation cost. |
| format | Article |
| id | doaj-art-10c15c186f9a4b8bbc83f1f11bcc6d76 |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-10c15c186f9a4b8bbc83f1f11bcc6d762025-08-20T01:54:08ZengMDPI AGSensors1424-82202024-11-012422733510.3390/s24227335Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power IntegrationChongyi Tian0Julin Li1Chunyu Wang2Longlong Lin3Yi Yan4Shandong Key Laboratory of Smart Buildings and Energy Efficiency, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, ChinaShandong Key Laboratory of Smart Buildings and Energy Efficiency, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, ChinaShandong Key Laboratory of Smart Buildings and Energy Efficiency, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, ChinaShandong Key Laboratory of Smart Buildings and Energy Efficiency, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, ChinaShandong Key Laboratory of Smart Buildings and Energy Efficiency, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, ChinaTo address the challenges of reduced grid stability and wind curtailment caused by high penetration of wind energy, this paper proposes a demand response strategy that considers industrial loads and energy storage under high wind-power integration. Firstly, the adjustable characteristics of controllable resources in the power system are analyzed, and a demand response scheduling framework based on energy storage systems and industrial loads is established. Building on this foundation, a multi-scenario stochastic programming approach is employed to develop a day-ahead and intra-day multi-time-scale optimization scheduling model, aimed at maximizing economic benefits. In response to the challenges of wind-power fluctuations with high temporal resolution, a strategy for smoothing intra-day wind-power variability is further proposed. Finally, simulations are conducted to derive optimal demand response strategies for different stages. As verified by the comparison of different scheduling strategies, the demand response strategy proposed in this paper can reduce wind curtailment when there is sufficient wind power and reduce load shedding when there is insufficient wind power, which effectively reduces the system operation cost.https://www.mdpi.com/1424-8220/24/22/7335wind-power consumptionindustrial loadshybrid energy storagemultiple time scalesenergy management |
| spellingShingle | Chongyi Tian Julin Li Chunyu Wang Longlong Lin Yi Yan Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration Sensors wind-power consumption industrial loads hybrid energy storage multiple time scales energy management |
| title | Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration |
| title_full | Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration |
| title_fullStr | Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration |
| title_full_unstemmed | Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration |
| title_short | Demand Response Strategy Considering Industrial Loads and Energy Storage with High Proportion of Wind-Power Integration |
| title_sort | demand response strategy considering industrial loads and energy storage with high proportion of wind power integration |
| topic | wind-power consumption industrial loads hybrid energy storage multiple time scales energy management |
| url | https://www.mdpi.com/1424-8220/24/22/7335 |
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