| 考虑风电有功主动控制的两阶段系统备用双层优化模型 |
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| 引用本文： | 杨正清,汪震,展肖娜,辛焕海,孙黎滢,徐谦.考虑风电有功主动控制的两阶段系统备用双层优化模型[J].电力系统自动化,2016,40(10):31-37. |
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| 作者姓名： | 杨正清 汪震 展肖娜 辛焕海 孙黎滢 徐谦 |
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| 作者单位： | 浙江大学电气工程学院, 浙江省杭州市310027; 浙江省海洋可再生能源电气装备与系统技术研究重点实验室, 浙江省杭州市 310027,浙江大学电气工程学院, 浙江省杭州市310027; 浙江省海洋可再生能源电气装备与系统技术研究重点实验室, 浙江省杭州市 310027,浙江大学电气工程学院, 浙江省杭州市310027; 浙江省海洋可再生能源电气装备与系统技术研究重点实验室, 浙江省杭州市 310027,浙江大学电气工程学院, 浙江省杭州市310027; 浙江省海洋可再生能源电气装备与系统技术研究重点实验室, 浙江省杭州市 310027,国网浙江省电力公司经济技术研究院, 浙江省杭州市 310008,国网浙江省电力公司经济技术研究院, 浙江省杭州市 310008 |
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| 基金项目： | 国家自然科学基金资助项目(51277160) |
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| 摘 要： | 首先探讨了风机降载运行模式具备的有功调节与备用能力,并引入风电降载比定量描述风电备用持有水平。其次,提出了一种考虑风电有功降载运行的两阶段系统备用计划双层优化模型。上层模型的目标为事前阶段的系统运行计划成本最小;下层目标为实时阶段的计划偏差最小,通过引入风电降载比耦合关联上下层模型。进一步,引入KKT条件将双层模型转化成单层模型以求取最优解。最后,采用改进的IEEE 6机30节点算例验证所提出模型的有效性,结果表明风电渗透率较高的系统中,风电场有功降载运行能够降低传统机组的备用容量压力,减少风电场功率输出波动,提高风电接入系统的整体经济性。
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| 关 键 词： | 风电并网 主动功率控制 备用计划 降载运行 |
| 收稿时间： | 2015/6/27 0:00:00 |
| 修稿时间： | 4/9/2016 12:00:00 AM |
Bi-level Optimization Model of Two-stage Reserve Scheduling with Proactive Wind Power Control |
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| YANG Zhengqing,WANG Zhen,ZHAN Xiaon,XIN Huanhai,SUN Liying and XU Qian.Bi-level Optimization Model of Two-stage Reserve Scheduling with Proactive Wind Power Control[J].Automation of Electric Power Systems,2016,40(10):31-37. |
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| Authors: | YANG Zhengqing WANG Zhen ZHAN Xiaon XIN Huanhai SUN Liying and XU Qian |
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| Affiliation: | Collage of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang Key Laboratory of Ocean Renewable Energy Equipment and System Technology, Hangzhou 310027, China,Collage of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang Key Laboratory of Ocean Renewable Energy Equipment and System Technology, Hangzhou 310027, China,Collage of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang Key Laboratory of Ocean Renewable Energy Equipment and System Technology, Hangzhou 310027, China,Collage of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang Key Laboratory of Ocean Renewable Energy Equipment and System Technology, Hangzhou 310027, China,Economic Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310008, China and Economic Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310008, China |
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| Abstract: | The active power regulation and the reserve capacity of wind turbines in the de-loading operation mode are first discussed. And the wind power de-loading ratio is introduced to quantitatively describe the wind power reserve level. A bi-level optimization model of two-stage reserve scheduling with proactive power de-loading control of wind turbines is then proposed. The upper level model is developed to minimize the total system scheduling cost at the pre-scheduling stage. The lower level model is developed to minimize the deviation of power generation between the real-time stage and the pre-scheduling stage. The upper and the lower levels are coupled via the wind power de-loading ratio. Further, by introducing the KKT condition, the bi-level model can be transformed into a single-level optimization model for easy solution. Finally, the effectiveness of the model is validated by using a modified IEEE 6-generator and 30-bus system. The results show that the wind power de-loading operation is able to reduce the scheduled reserve capacities of conventional units and suppress the wind power fluctuation, while enhancing the overall economic performance of the system with wind power.This work is supported by National Natural Science Foundation of China(No. 51277160). |
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| Keywords: | wind power integration proactive power control reserve scheduling de-loading operation |
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