非水可再生能源发电量消纳及指标分配的分析与探讨

Hongzhong LI; Guo FU; Mingtian FAN; Zuping ZHANG

doi:10.16513/j.2096-2185.DE.191071

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分布式能源 ›› 2019, Vol. 4 ›› Issue (5) : 50-57. DOI: 10.16513/j.2096-2185.DE.191071

可再生能源消纳技术

非水可再生能源发电量消纳及指标分配的分析与探讨

作者信息 +

Analysis and Discussion on Absorption and Distribution Index of Non-Water Renewable Energy Power Generation

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摘要

分析非水可再生能源(renewable energy sources, RES)消纳量有助于实现2020我国年各个区域高比例RES发电量的指标配额。首先，考虑各种制约非水RES发电量的因素：风光资源及其时空分布，可用土地资源，地区经济发展水平，地区负荷时空分布特性，电网设备容量及安全运行约束等。其次，以各种制约因素作为边界条件，对某具体区域(220/110 kV以下电压等级)可以消纳的非水RES电量、可以接纳的非水RES容量开展自下而上的理论分析。最后，对比国家能源局自上而下分配给各个区域的指标是否能够足额消纳，对不能满足的区域需要进行互济与调配。针对以上的分析，探讨了关于非水RES的选址定容模型、装机容量提升措施、以及接入非水RES后电网日前24 h的调度优化模型，并探讨了此数学问题的求解方法。

Abstract

Analysis of non-water RES(renewable energy sources) absorption will contribute to achieve the index quota of high proportion of renewable energy generation in all regions of China in 2020. Firstly, considering various restrictive factors on non-water RES power generation: wind and solar resources and their spatial and temporal distributions, available land resources, regional economic development level, spatial and temporal distribution characteristics of regional load, capacity of power grid equipment and constraints on safe operation, etc. Secondly, with various restrictive factors as the boundary conditions, a bottom-up theoretical analysis is carried out on the acceptable non-water RES capacity and the non-water RES amount of electricity that can be absorbed in a specific region (voltage level below 220/110 kV). Finally, whether the top-down indicators allocated to each region by the State Energy Administration can be fully absorbed and the regions not satisfied need to be coordinated and allocated. In view of the above analysis, this paper discusses the location and capacity determination model of non-water RES, the measures to increase installed capacity, and the scheduling optimization model 24 hours before the day of power grid access to non-water RES, and discusses the solving method of this mathematical problem.

导出引用

Hongzhong LI, Guo FU, Mingtian FAN, 等. 非水可再生能源发电量消纳及指标分配的分析与探讨[J]. 分布式能源. 2019, 4(5): 50-57 https://doi.org/10.16513/j.2096-2185.DE.191071

Analysis and Discussion on Absorption and Distribution Index of Non-Water Renewable Energy Power Generation[J]. Distributed Energy Resources. 2019, 4(5): 50-57 https://doi.org/10.16513/j.2096-2185.DE.191071

中图分类号： TK29

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	国家能源局. 54号《关于建立可再生能源开发利用目标引导制度的指导意见》[R]. 北京：国家能源局，2015. 本文引用 [2]

[2]	LI Hongzhong, GAO Yunan, ZHANG Xueying, et al. Strategies for improving photovoltaic absorption capacity of regional power grid[J]. Electric Power Automation Equipment, 2018, 38(7): 114-120, 127. 李宏仲，高宇男，张雪莹，等. 地区电网光伏消纳能力的提升策略[J]. 电力自动化设备，2018, 38(7): 114-120, 127. 本文引用 [1]

[3]	XUAN Peizheng, LEI Jia, HUA Dong, et al. Source-load coordination dispatching for power system considering large-scale wind power accommodation[J]. Guangdong Electric Power, 2016, 29(8): 11-16. 禤培正，雷佳，华栋，等. 消纳大规模风电的电力系统源荷协同调度[J]. 广东电力，2016, 29(8): 11-16. 本文引用 [1]

[4]	YANG Long, HU Shaoqiang, YANG Ping. Study on the reception capability of renewable energy in Guangdong power grid[J]. Power System Protection and Control, 2013, 41 (15): 110-115. 杨龙，胡少强，杨苹. 广东电网可再生能源接纳能力研究[J]. 电力系统保护与控制，2013, 41(15): 110-115. 本文引用 [1]

[5]

LIU

Dewei

, HUANG

Yuehui

, WANG

Weisheng

, et al. Analysis of wind power absorption capacity of provincial systems con-sidering peak shaving and transmission constraints[J]. Automation of Electric Power Systems, 2011, 35 (22): 77-81.H.

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. H.

本文引用 [1]

[6]	JIN Shangting, WU Jiekang, QIN Weimei, et al. Multi-objective collaborative reactive power optimization for distribution network considering wind power accommodation[J]. Guangdong Electric Power, 2019, 32(1): 52-59. 金尚婷，吴杰康，覃炜梅，等. 考虑风电消纳的配电网多目标无功协同优化[J]. 广东电力，2019, 32(1): 52-59. 本文引用 [1]

[7]	WANG Zhongfu, HUA Dong. Multi-objective robust dispatching for large-scale wind power grid-connection absorption[J]. Guangdong Electric Power, 2016, 29(6): 35-42, 49. 王中夫，华栋. 消纳大规模风电并网的多目标鲁棒调度[J]. 广东电力，2016, 29(6): 35-42, 49. 本文引用 [1]

[8]	ZHANG Heng, CHENG Haozhong, ZHANG Shenxi. Research on generation and transmission expansion planning with large-scale wind farms integration[C]//2018 International Conference on Power System Technology (POWERCON), Guangzhou, 2018: 325-330. 本文引用 [1]

[9]	LI Haibo, LU Zongxiang, QIAO Ying. Flexibility resource and demand balance mechanism in power system planning considering high penetration of renewable energy[C]//2017 IEEE Power & Energy Society General Meeting, Chicago, IL, 2017: 1-5. 本文引用 [1]

[10]	LI Zeheng, CHEN Lei, LU Xiaomin, et al. Renewable energy acceptance assessment based on system flexibility[J]. Power System Technology, 2017, 41 (7): 2187-2194. 李则衡，陈磊，路晓敏，等. 基于系统灵活性的可再生能源接纳评估[J]. 电网技术，2017, 41(7): 2187-2194. 本文引用 [1]

[11]	广东省发展和改革委员会. 《广东省太阳能光伏发电发展规划(2014—2020年)》[R]. 广州：广东省发展和改革委员会，2014. 本文引用 [1]

[12]	广东省气象局. 《广东省风能资源详查和评估报告》[R]. 广州：广东省气象局，2011. 本文引用 [1]

[13]	LI Hongzhong, GAO Yunan, ZHANG Xueying, et al. Site selection and capacity planning of photovoltaic power generation based on information entropy[J]. Southern Power Grid Technology, 2017, 11(9): 54-61. 李宏仲，高宇男，张雪莹，等. 基于信息熵的光伏发电选址与定容规划[J]. 南方电网技术，2017, 11(9): 54-61. 本文引用 [1]

[14]	XU Peidong, FANG Hualiang, HUANG Shuo. Distributed wind power location and capacity selection considering wind power absorption and power flow equilibrium[J]. Electric Power Construction, 2018, 39(1): 99-105. 许沛东，方华亮，黄烁. 考虑风电消纳及潮流均衡度的分散式风电选址定容[J]. 电力建设，2018, 39(1): 99-105. 本文引用 [1]

[15]	ZHANG Shenxi, LI Ke, CHENG Haozhong, et al. Location and capacity planning of intermittent distributed generation considering correlation[J]. Automation of Electric Power Systems, 2015, 39(8): 53-58, 140. 张沈习，李珂，程浩忠，等. 考虑相关性的间歇性分布式电源选址定容规划[J]. 电力系统自动化，2015, 39(8): 53-58, 140. 本文引用 [1]

[16]

DENG

Wei

, LI

Xinran

, LI

Peiqiang

, et al. Optimal configuration of intermittent distributed power generation in distribution network based on complementarity[J]. Transactions of China Electrotechnical Society, 2013, 28(6): 216-225.

邓威，李欣然，李培强，等. 基于互补性的间歇性分布式电源在配网中的优化配置[J]. 电工技术学报，2013, 28(6): 216-225.

本文引用 [1]

[17]

Xun

, CHEN

Kai

, LONG

, et al. Site and capacity planning of multitype distributed generation in microgrid considering environ-mental cost and time sequence characteristics[J]. Power Grid Technology, 2013, 37(4): 914-921.

徐迅，陈楷，龙禹等. 考虑环境成本和时序特性的微网多类型分布式电源选址定容规划[J]. 电网技术，2013, 37(4): 914-921.

本文引用 [1]

[18]	LI Hongzhong, LU Zhenbang, ZHU Jiaming, et al. Dy-namic evaluation method of wind power absorption considering economy[J]. Power Grid Technology, 2017, 41(4): 1261-1268. 李宏仲，吕振邦，朱佳明，等考虑经济性的日前风电消纳动态评估方法[J]. 电网技术，2017, 41(4): 1261-1268. 本文引用 [1]

[19]	LI Haibo, LU Zongxiang, QIAO Ying, et al. Wind power absorption evaluation method based on non-sequential production simulation[J]. Electric Power Construction, 2015, 36(10): 129-137. 李海波，鲁宗相，乔颖，等. 基于非时序生产模拟的风电消纳评估方法[J]. 电力建设，2015, 36(10): 129-137. 本文引用 [1]

[20]	TIAN Jianfang, MAO Yashan, ZHAI Qiaozhu, et al. Safety-constrained economic dispatching method based on wind power absorption capacity assessment[J]. Power Grid Technology, 2015, 39(9): 2398-2403. 田建芳，毛亚珊，翟桥柱，等. 基于风电消纳能力评估的安全约束经济调度方法[J]. 电网技术，2015, 39(9): 2398-2403. 本文引用 [1]