基于调峰能力分析的电网弃风评估方法及风电弃风影响因素研究 |
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引用本文: | 王丙乾,董剑敏,关前锋. 基于调峰能力分析的电网弃风评估方法及风电弃风影响因素研究[J]. 南方能源建设, 2018, 5(2): 71-76. DOI: 10.16516/j.gedi.issn2095-8676.2018.02.010 |
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作者姓名: | 王丙乾 董剑敏 关前锋 |
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作者单位: | 1.中国能源建设集团广东省电力设计研究院有限公司,广州 510663 |
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基金项目: | 国家自然科学基金资助项目“消纳大规模间歇性可再生能源对智能电网脆弱性的影响研究”71471058 |
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摘 要: | [目的] 由于风电出力的间歇性、随机性和反调峰特性,大规模可再生能源风电并网造成京津唐地区冬季供热季弃风现象愈加严重。 [方法] 为了能够定量研究电源调峰、联络线外送等弃风因素变化时对电网弃风的影响情况,从而准确衡量不同情形下电网对风电的接纳能力,文章从系统调峰的角度,以电热负荷平衡约束、机组出力约束为条件建立风电弃风评估模型。 [结果] 对京津唐电网弃风情况的模拟结果表明,常规电源调峰越深、联络线外送深度越小,系统接纳风电出力的空间越大;而过快的风电装机容量增长速度和较高的热电机组供热比率,会抑制风电出力,从而导致弃风。 [结论] 因此,可通过激励系统中常规电源积极主动进行调峰、控制联络线外送峰谷差和热电机组出力范围来提高系统接纳风电的能力;而根据未来规划水平,选取某一比例的风电装机容量增长速度,即可确定最佳的风电并网规模,控制弃风电量在一定水平内。
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关 键 词: | 调峰 弃风 评估模型 影响因素 |
收稿时间: | 2018-01-19 |
Research on the Evaluation Method and Influencing Factors of Wind Power Curtailment Based on System Regulation Capability Analysis |
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Affiliation: | 1.China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd., Guangzhou 510663, China |
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Abstract: | [Introduction] Due to the intermittent, random and anti-peaking characteristics of wind power output, large-scale renewable energy wind power grid integration has made serious problem of wind power curtailment in winter heating period within Beijing-Tianjin-Tangshan region. [Method] To make quantitative research of the influence on wind power curtailment when power-peaking, tie-line delivery changes and accurately measure the accommodation capacity of wind power under different scenarios, the wind power curtailment evaluation method is established from the perspective of system peak-load regulation and subject to the balance of electric load, heating load and generator output constraints. [Result] The results show that the deeper depth of conventional peak-load regulation and the smaller depth of outside system delivery is, the large space of wind power accommodation capacity is accepted; while rapid growth of wind power installed capacity and higher rate of thermal power unit heating will inhibit wind power output, resulting in wind power curtailment. [Conclusion] So the ability of wind power accommodation capacity can be improved by activating the system peak-load regulation, controlling the liaison lines peak-to-valley difference and reduce the output range of the thermal power unit. While selecting a certain proportion of wind power installed capacity growth rate can control the amount of wind power to be rejected within a certain level. |
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