Two-Stage Optimal Scheduling of Large-Scale Renewable Energy System Considering the Uncertainty of Generation and Load
With the development of smart grid and low-carbon electricity, a high proportion of renewable energy is connected to the grid. In addition, the peak-valley difference of system load increases, which makes the traditional grid scheduling method no longer suitable. Therefore, this paper proposes a two...
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MDPI AG
2020-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/3/971 |
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| author | Xiangyu Kong Shuping Quan Fangyuan Sun Zhengguang Chen Xingguo Wang Zexin Zhou |
| author_facet | Xiangyu Kong Shuping Quan Fangyuan Sun Zhengguang Chen Xingguo Wang Zexin Zhou |
| author_sort | Xiangyu Kong |
| collection | DOAJ |
| description | With the development of smart grid and low-carbon electricity, a high proportion of renewable energy is connected to the grid. In addition, the peak-valley difference of system load increases, which makes the traditional grid scheduling method no longer suitable. Therefore, this paper proposes a two-stage low-carbon economic scheduling model considering the characteristics of wind, light, thermal power units, and demand response at different time scales. This model not only concerns the deep peak state of thermal power units under the condition of large-scale renewable energy, but also sets the uncertain models of PDR (Price-based Demand Response) virtual units and IDR (Incentive Demand Response) virtual units. Taking the system operation cost and carbon treatment cost as the target, the improved bat algorithm and 2PM (Two-point Estimation Method) are used to solve the problem. The introduction of climbing costs and low load operating costs can more truly reflect the increased cost of thermal power units. Meanwhile, the source-load interaction can weigh renewable energy limited costs and the increased costs of balancing volatility. The proposed method can be applied to optimal dispatch and safe operation analysis of the power grid with a high proportion of renewable energy. Compared with traditional methods, the total scheduling cost of the system can be reduced, and the rights and obligations of contributors to system operation can be guaranteed to the greatest extent. |
| first_indexed | 2024-12-13T21:45:02Z |
| format | Article |
| id | doaj.art-45be2b6b8d794812bdb203b9bdde5a35 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-13T21:45:02Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-45be2b6b8d794812bdb203b9bdde5a352022-12-21T23:30:25ZengMDPI AGApplied Sciences2076-34172020-02-0110397110.3390/app10030971app10030971Two-Stage Optimal Scheduling of Large-Scale Renewable Energy System Considering the Uncertainty of Generation and LoadXiangyu Kong0Shuping Quan1Fangyuan Sun2Zhengguang Chen3Xingguo Wang4Zexin Zhou5Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaState Key Laboratory of Power Grid Safety and Energy Conservation (China Electric Power Research Institute), Beijing 100084, ChinaState Key Laboratory of Power Grid Safety and Energy Conservation (China Electric Power Research Institute), Beijing 100084, ChinaState Key Laboratory of Power Grid Safety and Energy Conservation (China Electric Power Research Institute), Beijing 100084, ChinaWith the development of smart grid and low-carbon electricity, a high proportion of renewable energy is connected to the grid. In addition, the peak-valley difference of system load increases, which makes the traditional grid scheduling method no longer suitable. Therefore, this paper proposes a two-stage low-carbon economic scheduling model considering the characteristics of wind, light, thermal power units, and demand response at different time scales. This model not only concerns the deep peak state of thermal power units under the condition of large-scale renewable energy, but also sets the uncertain models of PDR (Price-based Demand Response) virtual units and IDR (Incentive Demand Response) virtual units. Taking the system operation cost and carbon treatment cost as the target, the improved bat algorithm and 2PM (Two-point Estimation Method) are used to solve the problem. The introduction of climbing costs and low load operating costs can more truly reflect the increased cost of thermal power units. Meanwhile, the source-load interaction can weigh renewable energy limited costs and the increased costs of balancing volatility. The proposed method can be applied to optimal dispatch and safe operation analysis of the power grid with a high proportion of renewable energy. Compared with traditional methods, the total scheduling cost of the system can be reduced, and the rights and obligations of contributors to system operation can be guaranteed to the greatest extent.https://www.mdpi.com/2076-3417/10/3/971price-based demand responseincentive demand responseuncertaintydeep peak-shavingtwo-stage scheduling |
| spellingShingle | Xiangyu Kong Shuping Quan Fangyuan Sun Zhengguang Chen Xingguo Wang Zexin Zhou Two-Stage Optimal Scheduling of Large-Scale Renewable Energy System Considering the Uncertainty of Generation and Load Applied Sciences price-based demand response incentive demand response uncertainty deep peak-shaving two-stage scheduling |
| title | Two-Stage Optimal Scheduling of Large-Scale Renewable Energy System Considering the Uncertainty of Generation and Load |
| title_full | Two-Stage Optimal Scheduling of Large-Scale Renewable Energy System Considering the Uncertainty of Generation and Load |
| title_fullStr | Two-Stage Optimal Scheduling of Large-Scale Renewable Energy System Considering the Uncertainty of Generation and Load |
| title_full_unstemmed | Two-Stage Optimal Scheduling of Large-Scale Renewable Energy System Considering the Uncertainty of Generation and Load |
| title_short | Two-Stage Optimal Scheduling of Large-Scale Renewable Energy System Considering the Uncertainty of Generation and Load |
| title_sort | two stage optimal scheduling of large scale renewable energy system considering the uncertainty of generation and load |
| topic | price-based demand response incentive demand response uncertainty deep peak-shaving two-stage scheduling |
| url | https://www.mdpi.com/2076-3417/10/3/971 |
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