| 引用本文: | 宋 杰,张卫国,李树鹏,等.蓄热式电采暖负荷参与风电消纳运行策略研究[J].电力系统保护与控制,2021,49(3):80-87.[点击复制] |
| SONG Jie,ZHANG Weiguo,LI Shupeng,et al.Research on operational strategy for regenerative electric heating load participating in wind power consumption[J].Power System Protection and Control,2021,49(3):80-87[点击复制] |
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| 摘要: |
| 为了就地消纳大规模风力发电功率和提升电网调峰能力，将蓄热式电采暖与具有反调峰特性的风电进行结合，提出了风电与蓄热电采暖联合运行模式。模式中考虑风电机组、火电机组以及电采暖的相关约束，以系统总的发电成本最小为目标，构建了蓄热式电采暖负荷参与风电消纳优化运行模型。通过运用适应模型求解的遗传算法求解该模型，得到蓄热式电采暖负荷参与电网互动优化运行方案。仿真结果表明，基于蓄热式电采暖负荷参与风电消纳的运行策略是有效和实用的。该策略从电源侧的角度提高了系统的风能消纳水平，从电网侧的角度提升了系统的调峰能力，缓解了风电并网对系统造成的调峰压力。 |
| 关键词: 蓄热式电采暖 风电消纳 系统调峰 需求响应 |
| DOI：DOI: 10.19783/j.cnki.pspc.201046 |
| 投稿时间：2020-08-26修订日期：2020-09-28 |
| 基金项目:国家电网公司总部科技项目资助“蓄热式电采暖优化配置及互动关键技术研究与应用”(SGTJDK00DWJS1900101) |
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| Research on operational strategy for regenerative electric heating load participating in wind power consumption |
| SONG Jie,ZHANG Weiguo,LI Shupeng,YU Jiancheng,ZHANG Wei,LI Hua |
| (1. State Grid Electric Power Research Institute Co., Ltd., Nanjing 211000, China;
2. State Grid Tianjin Electric Power Company, Tianjin 300010, China) |
| Abstract: |
| In order to absorb large scale wind power generation and improve the peak shaving capacity of the grid, regenerative electric heating is combined with wind power possessing anti-peak regulation characteristics and a joint operation mode is established. In this mode, we consider the related constraints of wind turbines, thermal turbines, and regenerative electric heating. This has the goal of minimizing the total power generation cost of the system. An optimal operation model of regenerative electric heating load participating in wind power consumption is constructed. The adapting genetic algorithm is used to solve the model and the regenerative electric heating load participation in the grid interactive optimization operation strategy is obtained. The simulation results show that the operational strategy is effective and practical, and improves the wind power absorption level of the system from the perspective of the power source side, enhances the peak regulation ability of the system from the perspective of the grid side, and alleviates the peak shaving pressure caused by wind power connection to the power system.
This work is supported by the Science and Technology Project of State Grid Corporation of China “Optimal Configuration and Interactive Key Technologies Research and Application of Regenerative Electric Heating” (No. SGTJDK00DWJS1900101). |
| Key words: regenerative electric heating wind power consumption system peak shaving demand response |
