中国电力 ›› 2024, Vol. 57 ›› Issue (10): 166-171.DOI: 10.11930/j.issn.1004-9649.202311067
• 应对非常规安全风险的新型电力系统规划、运行与控制关键技术 • 上一篇 下一篇
崔伟1(), 柴龙越2(
), 王聪1, 王炜1, 汪莹1, 杨仑2(
)
收稿日期:
2023-11-15
出版日期:
2024-10-28
发布日期:
2024-10-25
作者简介:
崔 伟(1987—),男,工程师,硕士,从事电力系统及其自动化研究,E-mail:1479377442@qq.com基金资助:
Wei CUI1(), Longyue CHAI2(
), Cong WANG1, Wei WANG1, Ying WANG1, Lun YANG2(
)
Received:
2023-11-15
Online:
2024-10-28
Published:
2024-10-25
Supported by:
摘要:
现有概率最优潮流计算侧重于概率计算方法的设计和改进,难以从本质上提高概率最优潮流的计算效率。为此,以交直流新能源电网为研究对象,考虑风电、光伏发电的不确定性,建立交直流互联新能源电网概率最优潮流模型。首先,提出一种改进凸松弛技术处理非线性非凸潮流方法,将其转化为凸规划形式下的概率最优潮流模型;其次,利用Nataf变换处理非正态分布随机变量间的相关性,进而采用结合拉丁超立方采样技术的蒙特卡罗模拟法(monte carlo simulation,MCS)进行求解以降低MCS的计算量;最后,通过改进的IEEE 39节点、118节点以及500节点系统验证所提方法的有效性。
崔伟, 柴龙越, 王聪, 王炜, 汪莹, 杨仑. 基于改进凸松弛的新能源电网概率最优潮流快速计算方法[J]. 中国电力, 2024, 57(10): 166-171.
Wei CUI, Longyue CHAI, Cong WANG, Wei WANG, Ying WANG, Lun YANG. Fast Calculation Method of Probabilistic Optimal Power Flow for Renewable Dominated Power Grid Based on Improved Convex Relaxation[J]. Electric Power, 2024, 57(10): 166-171.
测试系统 | 电压偏差 | 功率偏差 | ||
IEEE 39节点 | 0.16 | 1.93 | ||
IEEE 118节点 | 0.02 | 1.99 |
表 1 SOCP-OPF与NLP-OPF对比结果 单位:%
测试系统 | 电压偏差 | 功率偏差 | ||
IEEE 39节点 | 0.16 | 1.93 | ||
IEEE 118节点 | 0.02 | 1.99 |
测试系统 | 最大松弛间隙 | |
IEEE 39节点 | 9.2×10–9 | |
IEEE 118节点 | 2.2×10–9 |
表 2 所提改进二阶锥松弛的最大松弛间隙
测试系统 | 最大松弛间隙 | |
IEEE 39节点 | 9.2×10–9 | |
IEEE 118节点 | 2.2×10–9 |
测试集 | SOCP-POPF | NLP-POPF | SDP-POPF | |||
IEEE 118节点 | 410 | 970 | ||||
IEEE 500节点 | 520 | > | > |
表 3 不同POPF方法计算时间结果 单位:s
测试集 | SOCP-POPF | NLP-POPF | SDP-POPF | |||
IEEE 118节点 | 410 | 970 | ||||
IEEE 500节点 | 520 | > | > |
1 | 李虎军, 张栋, 吕梦璇, 等. 考虑碳排放约束的新能源与调峰资源优化配置方法[J]. 中国电力, 2024, 57 (4): 42- 51. |
LI Hujun, ZHANG Dong, LV Mengxuan, et al. Research on the optimal configuration method of new energy and flexible regulation resources considering carbon emission constraint[J]. Electric Power, 2024, 57 (4): 42- 51. | |
2 | 朱文广, 王伟, 欧阳斌, 等. 面向节能降碳的冶炼企业风光储多目标协同定容方法[J]. 中国电力, 2023, 56 (11): 86- 94. |
ZHU Wenguang, WANG Wei, OUYANG Bin, et al. Multi-objective cooperative capacity determination method for integrated system of wind, photovoltaic and storage of smelting enterprises requiring energy saving and carbon reduction[J]. Electric Power, 2023, 56 (11): 86- 94. | |
3 | 黄立滨, 郭临洪, 郭天宇, 等. 基于多核CPU的风光新能源场站全拓扑实时仿真建模方法[J]. 南方电网技术, 2024, 18 (6): 79- 88. |
HUANG Libin, GUO Linhong, GUO Tianyu, et al. Full-topology real-time simulation modeling method for the wind farm and photovoltaic new energy station based on multi-core CPU[J]. Southern Power System Technology, 2024, 18 (6): 79- 88. | |
4 | 罗澍忻, 朱廷猛, 余浩, 等. 考虑频率稳定约束的电网新能源承载能力评估方法及其应用[J]. 南方电网技术, 2023, 17 (10): 65- 76. |
LUO Shuxin, ZHU Tingmeng, YU Hao, et al. Evaluation method and application of carrying capacities of new energy in power grid considering the constraints of frequency stability[J]. Southern Power System Technology, 2023, 17 (10): 65- 76. | |
5 |
许洪华, 邵桂萍, 鄂春良, 等. 我国未来能源系统及能源转型现实路径研究[J]. 发电技术, 2023, 44 (4): 484- 491.
DOI |
XU Honghua, SHAO Guiping, E Chunliang, et al. Research on China's future energy system and the realistic path of energy transformation[J]. Power Generation Technology, 2023, 44 (4): 484- 491.
DOI |
|
6 | YANG L, ZHAO X, PENG S, et al. Probabilistic power and mass flow analysis for integrated electricity and heating networks[J]. Journal of Energy Engineering, 2018, 144 (4): 1- 13. |
7 | XIE Z Q, JI T Y, LI M S, et al. Quasi-Monte Carlo based probabilistic optimal power flow considering the correlation of wind speeds using copula function[J]. IEEE Transactions on Power Systems, 2017, 33 (2): 2239- 2247. |
8 | 孙银锋, 夏大朋, 高梓淳. 基于蒙特卡罗模拟法的柔性交直流混联配电网概率潮流计算[J]. 东北电力大学学报, 2023, 43 (2): 82- 92. |
SUN Yinfeng, XIA Dapeng, GAO Zichun. Flexible AC/DC hybrid distribution network based on Monte Carlo simulation probabilistic load flow calculation[J]. Journal of Northeast Electric Power University, 2023, 43 (2): 82- 92. | |
9 | CIAPESSONI E, CIRIO D, PITTO A, et al. An analytical method for probabilistic load flow applied to multi-terminal HVDC networks for offshore wind farm integration[C]//2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe). Berlin, Germany. IEEE, 2012: 1–8. |
10 | 董雷, 杨以涵, 张传成, 等. 综合考虑网络结构不确定性的概率潮流计算方法[J]. 电工技术学报, 2012, 27 (1): 210- 216. |
DONG Lei, YANG Yihan, ZHANG Chuancheng, et al. Probabilistic load flow considering network configuration uncertainties[J]. Transactions of China Electrotechnical Society, 2012, 27 (1): 210- 216. | |
11 | 刘一童, 李本新. 计及风电相关性的电-气综合能源系统概率能量流分析[J]. 东北电力大学学报, 2023, 43 (2): 39- 47. |
LIU Yitong, LI Benxin. Probabilistic energy flow analysis for electricity-gas integrated energy systems with wind power correlation[J]. Journal of Northeast Electric Power University, 2023, 43 (2): 39- 47. | |
12 |
FAN M, VITTAL V, HEYDT G T, et al. Probabilistic power flow studies for transmission systems with photovoltaic generation using cumulants[J]. IEEE Transactions on Power Systems, 2012, 27 (4): 2251- 2261.
DOI |
13 |
SU C L, LU C N. Two-point estimate method for quantifying transfer capability uncertainty[J]. IEEE Transactions on Power Systems, 2005, 20 (2): 573- 579.
DOI |
14 |
VERBIC G, CANIZARES C A. Probabilistic optimal power flow in electricity markets based on a two-point estimate method[J]. IEEE Transactions on Power Systems, 2006, 21 (4): 1883- 1893.
DOI |
15 |
SU C L. Probabilistic load-flow computation using point estimate method[J]. IEEE Transactions on Power Systems, 2005, 20 (4): 1843- 1851.
DOI |
16 | 郑宇, 赵俊华, 孟科, 等. 计及碳交易机制的电力系统随机优化调度[J]. 电力建设, 2017, 38(6): 21-27. |
ZHENG Yu, ZHAO Junhua, MENG Ke, et al. Carbon trading based stochastic optimal dispatching of power system[J]. Electric Power Construction, 2017, 38(6): 21-27. | |
17 |
MORALES J M, PEREZ-RUIZ J. Point estimate schemes to solve the probabilistic power flow[J]. IEEE Transactions on Power Systems, 2007, 22 (4): 1594- 1601.
DOI |
18 | BAI X Q, WEI H, FUJISAWA K, et al. Semidefinite programming for optimal power flow problems[J]. International Journal of Electrical Power & Energy Systems, 2008, 30 (6/7): 383- 392. |
19 | LAVAEI J, LOW S H. Zero duality gap in optimal power flow problem[J]. IEEE Transactions on Power Systems, 2011, 27 (1): 92- 107. |
20 |
KOCUK B, DEY S S, SUN X A. Strong SOCP relaxations for the optimal power flow problem[J]. Operations Research, 2016, 64 (6): 1177- 1196.
DOI |
21 |
FARIVAR M, LOW S H. Branch flow model: relaxations and convexification: Part I[J]. IEEE Transactions on Power Systems, 2013, 28 (3): 2554- 2564.
DOI |
22 | ALZALG B, ALIOUI H. Applications of stochastic mixed-integer second-order cone optimization[J]. IEEE Access, 2021, 10, 3522- 3547. |
23 | ZHANG H C, MOURA S J, HU Z C, et al. A second-order cone programming model for planning PEV fast-charging stations[J]. IEEE Transactions on Power Systems, 2017, 33 (3): 2763- 2777. |
24 | 汪红波, 邵立政, 夏清, 等. 考虑交流可行性校验的现货市场全环节建模及修正策略[J]. 中国电力, 2022, 55 (1): 142- 150. |
WANG Hongbo, SHAO Lizheng, XIA Qing, et al. Full process modeling and correction strategies for electricity spot market considering AC feasibility check[J]. Electric Power, 2022, 55 (1): 142- 150. | |
25 |
梁琛, 王维洲, 马喜平, 等. 基于随机潮流的高比例新能源接入配电网的极限线损分析[J]. 智慧电力, 2022, 50 (12): 34- 40, 78.
DOI |
LIANG Chen, WANG Weizhou, MA Xiping, et al. Analysis on limit line loss in high proportion of renewable energy distribution network based on stochastic power flow[J]. Smart Power, 2022, 50 (12): 34- 40, 78.
DOI |
|
26 | 杨顺吉, 李庆生, 明志勇, 等. 考虑源荷随机性的配电网多目标概率无功优化[J]. 南方电网技术, 2023, 17 (1): 125- 135. |
YANG Shunji, LI Qingsheng, MING Zhiyong, et al. Multi-objective probabilistic reactive power optimization of distribution network considering the randomness of source and load[J]. Southern Power System Technology, 2023, 17 (1): 125- 135. | |
27 | 杨溢, 薛涛, 赵斌, 等. 多端星形电磁环网的潮流解析方法分析[J]. 内蒙古电力技术, 2022, 40 (6): 57- 63. |
YANG Yi, XUE Tao, ZHAO Bin, et al. Analysis of power flow analytical method of multi-terminal star-electromagnetic loop network[J]. Inner Mongolia Electric Power, 2022, 40 (6): 57- 63. | |
28 | 李美妍, 吴俊玲, 陆润钊, 等. 基于储能的电力系统潮流协调优化控制策略[J]. 东北电力大学学报, 2023, 43 (6): 17- 22. |
LI Meiyan, WU Junling, LU Runzhao, et al. Optimal control strategy of power flow coordination based on energy storage[J]. Journal of Northeast Electric Power University, 2023, 43 (6): 17- 22. | |
29 | 颜伟, 杨彪, 莫静山, 等. 交直流系统主导节点选择与无功分区的概率优化方法[J]. 中国电力, 2020, 53 (8): 77- 84. |
YAN Wei, YANG Biao, MO Jingshan, et al. Probabilistic optimization method for pilot-bus selection and network partitioning of AC/DC system[J]. Electric Power, 2020, 53 (8): 77- 84. | |
30 | 林镇佳. 考虑大规模风电并网的电力系统优化调度研究[D]. 广州: 华南理工大学, 2021. |
31 | 叶星汝, 董树锋, 严秋雨, 等. 海上风场短时风速混合威布尔逼近方法[J]. 太阳能学报, 2023, 44 (11): 224- 230. |
YE Xingru, DONG Shufeng, YAN Qiuyu, et al. Mixed weibull distribution approximation of short-term offshore wind speed[J]. Acta Energiae Solaris Sinica, 2023, 44 (11): 224- 230. | |
32 | 李妍. 考虑分布式电源出力波动性的配电网无功优化[D]. 青岛: 青岛大学, 2021. |
33 | 杨彪, 颜伟, 莫静山. 考虑源荷功率随机性和相关性的主导节点选择与无功分区方法[J]. 电力系统自动化, 2021, 45 (11): 61- 67. |
YANG Biao, YAN Wei, MO Jingshan. Pilot-bus selection and network partitioning method considering randomness and correlation of source-load power[J]. Automation of Electric Power Systems, 2021, 45 (11): 61- 67. | |
34 | 韩宏志, 杨洋, 郜宁, 等. 基于正态分布的典型负荷日拟合方法[J]. 分布式能源, 2020, 5 (4): 69- 73. |
HAN Hongzhi, YANG Yang, GAO Ning, et al. Fitting method of typical daily load based on normal distribution[J]. Distributed Energy, 2020, 5 (4): 69- 73. | |
35 | 王立强, 刘鸿清, 丛雨. 基于高斯混合模型的配电网分布式光伏接入影响量化分析方法[J]. 内蒙古电力技术, 2024, 42 (4): 93- 100. |
WANG Liqiang, LIU Hongqing, CONG Yu. Quantitative analysis method for impact of distributed photovoltaic access in distribution networks based on Gaussian mixture model[J]. Inner Mongolia Electric Power, 2024, 42 (4): 93- 100. | |
36 |
LI H S, LÜ Z Z, YUAN X K. Nataf transformation based point estimate method[J]. Chinese Science Bulletin, 2008, 53 (17): 2586- 2592.
DOI |
[1] | 鲁玲, 苑涛, 杨波, 李欣, 鲁洋, 蒲秋平, 张鑫. 计及㶲效率和多重不确定性的区域综合能源系统双层优化[J]. 中国电力, 2025, 58(1): 128-140. |
[2] | 孙东磊, 王宪, 孙毅, 孟祥飞, 张涌琛, 张玉敏. 基于多面体不确定集合的电力系统灵活性量化评估方法[J]. 中国电力, 2024, 57(9): 146-155. |
[3] | 张亚健, 陈茨, 薛飞, 马丽, 郑敏. 电制氢协同的含高比例光伏配电网两阶段电压随机优化控制[J]. 中国电力, 2024, 57(8): 23-35. |
[4] | 卢纯颢, 周春丽, 林溪桥, 陈志君. 基于车辆行为模拟的加氢站氢负荷概率建模方法[J]. 中国电力, 2024, 57(8): 46-54, 66. |
[5] | 易文飞, 朱卫平, 郑明忠. 计及数据中心和风电不确定性的微电网经济调度[J]. 中国电力, 2024, 57(2): 19-26. |
[6] | 李卓, 王胤喆, 叶林, 罗雅迪, 宋旭日, 张振宇. 从感知-预测-优化综述图神经网络在电力系统中的应用[J]. 中国电力, 2024, 57(12): 2-16. |
[7] | 王蕊, 傅质馨, 王健, 刘皓明. 基于复杂特征提取和Sinkhorn距离的风光荷多阶段场景树生成方法[J]. 中国电力, 2024, 57(12): 30-40. |
[8] | 赵先海, 刘晓峰, 季振亚, 李峰, 刘国宝. 考虑居民用户动态行为的负荷聚合商决策分析[J]. 中国电力, 2024, 57(10): 179-189. |
[9] | 袁铁江, 杨洋, 李瑞, 蒋东方. 考虑源荷不确定性的氢能微网容量优化配置[J]. 中国电力, 2023, 56(7): 21-32. |
[10] | 叶颖津, 林玲, 阮迪, 张诗鸣, 林红阳. 新型电力系统下电网企业有效资产运营效率评估[J]. 中国电力, 2023, 56(6): 185-193. |
[11] | 张涛, 刘伉, 陶然, 王清川, 黄明娟. 计及热媒流率和热损耗不确定性的综合能源系统优化调度[J]. 中国电力, 2023, 56(4): 146-155. |
[12] | 梁涛, 尹晓东, 刘亚祥. 面向投资收益的综合能源系统鲁棒优化配置规划[J]. 中国电力, 2023, 56(4): 156-166. |
[13] | 张淑兴, 马驰, 杨志学, 王尧, 吴昊, 任洲洋. 基于深度确定性策略梯度算法的风光储系统联合调度策略[J]. 中国电力, 2023, 56(2): 68-76. |
[14] | 陈璨, 王晶, 于宗民, 马原, 王乙, 范梁晨曦, 丁然, 李红权. 配电网自治单元规划研究综述与展望[J]. 中国电力, 2023, 56(12): 9-19. |
[15] | 王曦悦, 张浩, 彭超逸. 基于风险抑制理论的电网弹性运行方法[J]. 中国电力, 2023, 56(12): 127-137. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||