电源学报

基于CRITIC权重法的风光发电单元灵活性控制方法

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宋朋飞 ¹ , 亢朋朋 ¹ , 孟铁强中国电源学会学生会员 ² , 翟文辉 ¹ , 张兴中国电源学会高级会员 ² , 田晓煜 ¹

电源学报 | 新能源发电与储能 2026,24(8): 100-109

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电源学报 |新能源发电与储能 2026 , 24 (8) : 100 -109

基于CRITIC权重法的风光发电单元灵活性控制方法

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宋朋飞¹, 亢朋朋¹, 孟铁强中国电源学会学生会员², 翟文辉¹, 张兴中国电源学会高级会员², 田晓煜¹

作者信息

^1.国网新疆电力有限公司，乌鲁木齐　830000

^2.合肥工业大学电气与自动化工程学院，合肥　230009

通讯作者:

孟铁强（1999—　），男，中国电源学会学生会员，通信作者，硕士研究生。研究方向：并网变流器稳定性与灵活性控制分析。E-mail：944781467@qq.com。

作者简介:

宋朋飞（1987—　），男，硕士，高级工程师。研究方向：电力系统运行与控制。E-mail：spengfei09@163.com。

亢朋朋（1986—　），男，硕士，高级工程师。研究方向：电力系统运行与控制。E-mail：598802537@qq.com。

翟文辉（1996—　），男，本科，工程师。研究方向：电力系统运行。E-mail：1245370465@qq.com。

张兴（1963—　），男，中国电源学会高级会员，博士，教授。研究方向：新能源发电及其电力电子技术。E-mail：honglf@ustc.edu.cn。

田晓煜（1995—　），男，硕士，工程师。研究方向：电力系统及其自动化。E-mail：462509302@qq.com。

Flexibility Control Method for Wind and Photovoltaic Power Generation Units Based on CRITIC Weight Method

Pengfei SONG¹, Pengpeng KANG¹, Tieqiang MENG Student Member, CPSS², Wenhui ZHAI¹, Xing ZHANG Senior Member, CPSS², Xiaoyu TIAN¹

Affiliations

^1.State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830000, China

^2.School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

出版时间: 2026-08-30 doi: 10.13234/j.issn.2095-2805.2026.8.100

文章导航

摘要

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当前的风光发电单元仍面临太阳能、风能等资源间歇性及电网实时波动双重作用下的灵活性不足问题。因此，研究风光发电单元的灵活性评估及提升策略至关重要。围绕灵活性评估量化及灵活性控制策略2方面问题，首先探索灵活性评估体系，从功率出力能力、稳定性、电压支撑能力等方面选取灵活性评估指标，基于CRITIC权重法量化风光发电单元在不同控制策略下的灵活性；其次根据灵活性评估结果，使风光发电单元选择具有灵活性优势的控制策略并进行无扰动切换，实现风光发电单元的灵活性控制；最后基于实际应用的大功率光伏并网变流器模型，通过仿真验证了所提方法的可行性。

关键词

风光发电单元 / 灵活性评估 / CRITIC权重法 / 无扰动切换 / 灵活性控制

Abstract

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At present, the wind and photovoltaic (PV) power generation units still face the problem of a lack of flexibility due to the dual roles of intermittency of resources such as solar and wind energy and real-time fluctuations in power grid. Therefore, the studies of the flexibility assessment of wind and PV power generation units and the corresponding enhancement strategy are critical. Aimed at both the quantification of flexibility assessment and the flexibility control strategies, a flexibility assessment system is explored at first, i.e., the flexibility assessment indexes are selected from the aspects of power output capability, stability, voltage support capability, etc., and the flexibility of wind and PV power generation units under different control strategies is quantified based on the CRITIC weight method. Second, based on the flexibility assessment results, a control strategy with an advantage in flexibility is selected for wind and PV power generation units, and non-perturbative switching is carried out, so as to realize the flexibility control of wind and PV power generation units. Finally, the feasibility of the proposed approach was verified by simulations conducted on a model of a high-power PV grid-connected converter applied in practice.

Key words

Wind and photovoltaic (PV) power generation units / flexibility assessment / CRITIC weight method / non-perturbative switching / flexibility control

引用本文

宋朋飞, 亢朋朋, 孟铁强中国电源学会学生会员, 翟文辉, 张兴中国电源学会高级会员, 田晓煜. 基于CRITIC权重法的风光发电单元灵活性控制方法. 电源学报, 2026 , 24 (8) : 100 -109 . DOI: 10.13234/j.issn.2095-2805.2026.8.100

Pengfei SONG, Pengpeng KANG, Tieqiang MENG, Wenhui ZHAI, Xing ZHANG, Xiaoyu TIAN. Flexibility Control Method for Wind and Photovoltaic Power Generation Units Based on CRITIC Weight Method[J]. Journal of Power Supply, 2026 , 24 (8) : 100 -109 . DOI: 10.13234/j.issn.2095-2805.2026.8.100

基金

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国网新疆电力有限公司科技资助项目(5230HQ23000F)

参考文献

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2026年第24卷第8期

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文章信息

doi: 10.13234/j.issn.2095-2805.2026.8.100

接收时间：2024-11-28
首发时间：2026-10-29
出版时间：2026-08-30

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出版历史

收稿日期：2024-11-28
修回日期：2025-01-08
录用日期：2025-02-05

基金

State Grid Xinjiang Electric Power Co., Ltd. Technology Project(5230HQ23000F)

国网新疆电力有限公司科技资助项目(5230HQ23000F)

作者信息

^1.国网新疆电力有限公司，乌鲁木齐　830000

^2.合肥工业大学电气与自动化工程学院，合肥　230009

通讯作者:

孟铁强（1999—　），男，中国电源学会学生会员，通信作者，硕士研究生。研究方向：并网变流器稳定性与灵活性控制分析。E-mail：944781467@qq.com。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2026.8.100

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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