一种考虑灵活性资源的风光综合消纳规划方法

鲁宇, 伍声宇, 谌骏哲, 刘俊, 康重庆

分布式能源 ›› 2019, Vol. 4 ›› Issue (5) : 10-16.

PDF(1948 KB)
PDF(1948 KB)
分布式能源 ›› 2019, Vol. 4 ›› Issue (5) : 10-16. DOI: 10.16513/j.2096-2185.DE.191089
可再生能源消纳技术

一种考虑灵活性资源的风光综合消纳规划方法

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A Planning Method for Wind Power and Photovoltaic Absorption Considering Flexible Resources

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摘要

未来,在高比例可再生能源接入的电力系统中,风、光高比例协同发展,储能、可中断负荷等灵活性资源在电网调峰运行中将发挥重要作用,为此提出了一种考虑灵活性资源的风光综合消纳规划方法。在电源开发能力的限制下,结合专家经验,优先开发调峰电源及储能、可中断负荷等灵活性资源,最大限度增加系统可调节能力,并考虑合理的弃电空间,提升接纳新能源能力。在平衡方法上,基于对地区负荷及风光特性的挖掘,选择平衡校验时段。通过历史数据回测,判断调峰平衡时段内风、光出力率,并通过对典型日风光弃电功率积分,分别计算弃风率和弃光率。该方法综合考虑系统容量充裕度和新能源消纳能力,构建了基于平衡方法的风光综合消纳规划方法,并考虑一定弃电空间,促进新能源发展。最后,以东北某省级电网2025、2030年电源规划为算例,验证了上述模型和算法的有效性。

Abstract

In the future, high proportion of renewable energy will be connected to the power system, wind and photovoltaic are developing in a high proportion, and flexible resources such as energy storage and interruptible load play an important role in peak load regulation. In this paper, a planning method for wind power and photovoltaic absorption considering flexible resources is proposed. Under the limitation of power development capacity, combining with the experience of experts, we give priority to the development of peak-regulating power supply, energy storage, interruptible load and other flexible resources, maximize the adjustable capacity of the system, and consider reasonable power abandoning space to improve the capacity of accepting new energy. On the balance method, the period of balance check is selected based on the regional load, wind and photovoltaic characteristics. Based on the historical data, the wind and photovoltaic output rate in the peak shaving equilibrium period is judged, and the wind and photovoltaic abandonment rate is calculated respectively by integrating the typical daily power abandonment. This method considers the adequacy of system capacity and the capacity of new energy absorption comprehensively, and constructs a comprehensive planning method of wind and solar energy absorption based on the balance method. It also considers certain power abandonment to promote the development of new energy. Finally, an example of 2025 and 2030 power supply planning for a provincial power grid in Northeast China is given to verify the effectiveness of the above model and algorithm.

关键词

灵活性资源 / 电力电量平衡 / 消纳 / 风电 / 太阳能发电

Key words

flexibility resources / power balance / dissipation / wind power / solar power

引用本文

导出引用
Yu LU, Shengyu WU, Junzhe CHEN, . 一种考虑灵活性资源的风光综合消纳规划方法[J]. 分布式能源. 2019, 4(5): 10-16 https://doi.org/10.16513/j.2096-2185.DE.191089
A Planning Method for Wind Power and Photovoltaic Absorption Considering Flexible Resources[J]. Distributed Energy Resources. 2019, 4(5): 10-16 https://doi.org/10.16513/j.2096-2185.DE.191089
中图分类号: TM61   

参考文献

[1]
LIU Dewei, HUANG Yuehui, WANG Weisheng, et al. Analysis on provincial system available capability of accommodating wind power considering peak load dispatch and transmission constraints[J]. Automation of Electric Power System, 2011, 35(22): 77-81.
刘德伟,黄越辉,王伟胜,等. 考虑调峰和电网输送约束的省级系统风电消纳能力分析[J]. 电力系统自动化2011, 35(22): 77-81.
[2]
LU Zongxiang, LI Haibo, QIAO Ying, et al. Powersystem flexibility planning and considering high proportion of renewable energy[J]. Automation of Electric Power System, 2016, 40(13): 147-158.
鲁宗相,李海波,乔颖,等. 含高比例可再生能源电力系统灵活性规划及挑战[J]. 电力系统自动化2016, 40(13): 147-158.
[3]
ZHU Lingzhi, CHEN Ning, HAN Hualing, et al. Keyproblems and solutions of wind power accommodation[J]. Automation of Electric Power System, 2011, 35(22): 29-34.
朱凌志,陈宁,韩华玲,等. 风电消纳关键问题及应对措施分析[J]. 电力系统自动化2011, 35(22): 29-34.
[4]
XU Tanghai, LU Zongxiang, QIAO Ying, et al. High penetration of renewable energy power planning considering coordination of source-load-storage multi-type flexible resources[J]. Journal of Global Energy Interconnection, 2019, 2(1): 28-33.
徐唐海,鲁宗相,乔颖,等. 源荷储多类型灵活性资源协调的高比例可再生能源电源规划[J]. 全球能源互联网2019, 2(1): 28-33.
[5]
谭永才. 电力系统规划设计技术[M]. 北京:中国电力出版社,2012: 28-45.
[6]
YU Z, LIN J, YU D, et al. The design of the model of wind power integration based on thermal power peakshaving[C]//International Conference on Mechatronics, Electronic, Industrial and Control Engineering, 2015.
[7]
LIU Chang, WU Hao, GAO Changzheng, et al. Study on analysis method of accommodated capacity for wind power[J]. Power System Protection and Control, 2014, 42(4): 61-66.
刘畅,吴浩,高长征,等. 风电消纳能力分析方法的研究[J]. 电力系统保护与控制2014, 42(4): 61-66.
[8]
HAN Xiaoqi, SUN Shouguang, QI Qingru, et al. Evaluation of wind power penetration limit from peak regulation[J]. Electric Power, 2010, 43(6): 16-19.
韩小琪,孙寿广,戚庆茹,等. 从系统调峰角度评估电网接纳风电能力[J]. 中国电力2010, 43(6): 16-19.
[9]
XU Lin, HUANG Xiaoli, DU Zhongming, et al. Study on power system planning method adapting to new energy development[J]. Electric Power, 2017, 50(9): 18-24.
徐林,黄晓莉,杜忠明,等. 适应新能源发展的电力规划方法研究[J]. 中国电力2017, 50(9): 18-24.
[10]
CHENG Linyan, FENG Yanhong, XU Lin. Consumptive capacity research based on wind-solar hybrid characteristics[J]. Electric Power, 2019, 52(6): 1-7.
程临燕,冯艳虹,徐林. 基于风光互补出力特性的可消纳容量研究[J]. 中国电力2019, 52(6): 1-7.
[11]
ZHANG Jinfang, LI Nan, LIU Jun, et al. An Integrated analysis method for wind & solar power accommodation based on peak regulation balance principle[J]. Electric Power, 2019, 52(3): 68-71.
张晋芳,栗楠,刘俊,等. 一种基于调峰平衡的风光综合消纳分析方法[J]. 中国电力2019, 52(3): 68-71.
[12]
SHU Yinbiao, ZHANG Zhigang, GUO Jianbo, et al. Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9.
舒印彪,张智刚,郭剑波,等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报2017, 37(1): 1-9.
[13]
DONG Cun, LI Mingjie, FAN Gaofeng, et al. Research and application of renewable energy accommodation capability evaluation based on time series production simulation[J]. Electric Power, 2015, 48(12): 166-172.
董存,李明节,范高锋,等. 基于时序生产模拟的新能源年度消纳能力计算方法及其应用[J]. 中国电力2015, 48(12): 166-172.
[14]
ZHANG Hongyu, FANG Xin, LI Bihui, et al. Probabilistic production simulation of power systems with large-scale wind and photovoltaic generation[J]. Electric Power, 2012, 45(6): 73-76.
张宏宇,方鑫,李碧辉,等. 含大规模风光电源电力系统随机生产模拟[J]. 中国电力2012, 45(6): 73-76.
[15]
XIN Songxu, BAI Jianhua, GUO Yanheng. Study on wind power characteristics of Jiuquan wind power base[J]. Energy Technology and Economics, 2010, 22(12): 16-20.
辛颂旭,白建华,郭燕珩. 甘肃酒泉风电特性研究[J]. 能源技术经济2010, 22(12): 16-20.

基金

国家重点研发计划项目(2016YFB0900100)
国家电网有限公司科技项目(区域综合能源供应系统模型及规划技术研究)

编委: 蒋毅恒
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