基于交换卷积的含高比例新能源电力系统运行评估方法

doi:10.11930/j.issn.1004-9649.201801015

中国电力 ›› 2019, Vol. 52 ›› Issue (4): 25-31.DOI: 10.11930/j.issn.1004-9649.201801015

• 可再生能源与新一代电力系统专栏 • 上一篇下一篇

基于交换卷积的含高比例新能源电力系统运行评估方法

吴少雷, 冯玉, 吴凯, 陆巍, 赵成, 骆晨

国网安徽省电力有限公司电力科学研究院, 安徽合肥 230601

收稿日期:2018-01-12 修回日期:2018-11-20 出版日期:2019-04-05 发布日期:2019-04-16
作者简介:吴少雷(1973-),男,高级工程师,从事配用电技术管理、分布式能源系统、电网规划评估研究,E-mail:wu_kay@163.com
基金资助:
国家重点研发计划资助项目（2016YFB0900400）。

Operation Evaluation Method of High Proportion Renewable Energy Power System Based on Exchange Convolution

WU Shaolei, FENG Yu, WU Kai, LU Wei, ZHAO Cheng, LUO Cheng

Electric Power Research Institute, Anhui Electric Power Company of State Grid, Hefei 230601, China

Received:2018-01-12 Revised:2018-11-20 Online:2019-04-05 Published:2019-04-16
Supported by:
This work is supported by National Key Research and Development Program of China (No.2016YFB0900400).

摘要/Abstract

摘要： 随着新能源的大规模建设，评估确定含高比例新能源电力系统的运行方式成为亟待解决的问题。针对目前的评估方法没有充分考虑机组调峰潜能的问题，提出了交换卷积的方法。该方法以目前广泛采用的基于等效电量函数法和等效电量频率法的随机生产模拟为基础，首先建立持续负荷曲线和等效负荷频率曲线进行预随机生产模拟；然后根据预随机生产模拟结果确定高频率启动机组；最后以交换卷积方法进行交换卷积。采用某省实际电网算例对所提方法进行计算，验证了所提方法的有效性。与传统方法相比，所提方法可以更加充分发挥系统的调峰潜能，增进评估的有效性。

关键词: 随机生产模拟, 交换卷积, 新能源, 电力系统, 运行评估

Abstract: With the large-scale construction of renewable energy, it is urgent to assess the power system with high proportion of new energy and determine its operation mode. It is of great significance to study the operation evaluation of power system with high proportion of new energy. In view of the present evaluation methods that have not fully considered the peak shaving potential of generator units, the method of exchange convolution is proposed. On the basis of the probability production simulation that is based on presently widely used equivalent electricity function method and equivalent electricity frequency method, the load duration curve and equivalent load frequency curve are firstly established, and the pre-probability production simulation is carried out; and then, the high-frequency starting units are determined according to the pre- probability production simulation results; finally the convolution is exchanged based on the exchange convolution method. A case study is made on a practical power system, which verifies the effectiveness of the proposed method. Compared with the traditional method, the method proposed in this paper can give full play to the peak potential of the system and improve the effectiveness of the evaluation.

Key words: probability production simulation, exchange convolution, renewable energy, power system, operation evaluation

中图分类号:

TM711

吴少雷, 冯玉, 吴凯, 陆巍, 赵成, 骆晨. 基于交换卷积的含高比例新能源电力系统运行评估方法[J]. 中国电力, 2019, 52(4): 25-31.

WU Shaolei, FENG Yu, WU Kai, LU Wei, ZHAO Cheng, LUO Cheng. Operation Evaluation Method of High Proportion Renewable Energy Power System Based on Exchange Convolution[J]. Electric Power, 2019, 52(4): 25-31.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201801015

https://www.electricpower.com.cn/CN/Y2019/V52/I4/25

参考文献 20

[1]	BOOTH R R. Power system simulation model based on probability analysis[J]. IEEE Transactions on Power Systems, 1972, 91(1):62-69.
[2]	王锡凡. 电力系统规划基础[M]. 北京:中国电力出版社, 1994:70-74.
[3]	王锡凡. 电力系统随机生产模拟的等效电量函数法[J]. 西安交通大学学报, 1984, 18(6):13-26 WANG Xifan. EFF approach to power system probabilistic modeling[J]. Journal of Xi'an Jiaotong University, 1984, 18(6):13-26
[4]	聂永辉, 李天云, 关晓辉, 等. 含风电场的电力系统随机生产模拟[J]. 电力系统保护与控制, 2013, 41(14):102-107 NIE Yonghui, LI Tianyun, GUAN Xiaohui, et al. Power system probabilistic production simulation including wind farms[J]. Power System Protection and Control, 2013, 41(14):102-107
[5]	张宏宇, 印永华, 申洪, 等. 大规模风电接入后的系统调峰充裕度评估[J]. 中国电机工程学报, 2011, 31(22):26-31 ZHANG Hongyu, YIN Yonghua, SHEN Hong, et al. Peak-load regulating adequacy evaluation associated with large-scale wind power integration[J]. Proceeding of the CSEE, 2011, 31(22):26-31
[6]	曲翀, 王秀丽, 谢绍宇, 等. 含风电电力系统随机生产模拟的改进算法[J]. 西安交通大学学报, 2012, 46(6):115-121 QU Chong, WANG Xiuli, XIE Shaoyu, et al. An improved algorithm for probabilistic production simulation of power systems with wind power[J]. Journal of Xi'an Jiaotong University, 2012, 46(6):115-121
[7]	宫本辉, 王秀丽, 党灿, 等. 含风电系统大规模长时间机组组合分解模型[J]. 西安交通大学学报, 2016, 50(6):143-151 GONG Benhui, WANG Xiuli, DANG Can, et al. The decomposed unit commitment model for long term system with large scale wind power penetration[J]. Journal of Xi'An Jiaotong University, 2016, 50(6):143-151
[8]	张节谭, 程浩忠, 胡泽春, 等. 含风电场的电力系统随机生产模拟[J]. 中国电机工程学报, 2009, 29(38):34-39 ZHANG Jietan, CHENG Haozhong, HU Zechun, et al. Power system probabilistic simulation including wind farms[J]. Proceeding of the CSEE, 2009, 29(38):34-39
[9]	谈天夫, 高山, 李海峰, 等. 基于等效间隔-频率分布的含风电场电力系统随机生产模拟[J]. 电工技术学报, 2014, 29(12):148-157 TAN Tianfu, GAO Shan, LI Haifeng, et al. Power system probability production simulation based on equivalent interval frequency distribution including wind farms[J]. Transactions of China Electrotechnical Society, 2014, 29(12):148-157
[10]	刘纯, 曹阳, 黄越辉, 等. 基于时序仿真的风电年度计划制定方法[J]. 电力系统自动化, 2014, 38(11):13-19 LIU Chun, CAO Yang, HUANG Yuehui, et al. An annual wind power planning method based on time sequential simulations[J]. Automation of Electric Power Systems, 2014, 38(11):13-19
[11]	刘俊宏, 李秋文, 林洁, 等. 电力系统随机生产模拟的稀疏卷积递推法[J]. 电力系统保护与控制, 2017, 45(18):1-7 LIU Junhong, LI Qiuwen, LIN Jie, et al. A sparse recursive convolution method for power systems stochastic production simulation[J]. Power System Protection and Control, 2017, 45(18):1-7
[12]	胡晓飞, 林洁, 郭瑞鹏, 等. 水火发电系统随机生产模拟的两阶段定区间等效电量函数法[J]. 电力自动化设备, 2017, 37(11):169-175 HU Xiaofei, LIN Jie, GUO Ruipeng, et al. A two-stage fixed-range equivalent energy function method for probabilistic production simulation on hydro-thermal generation system[J]. Electric Power Automation Equipment, 2017, 37(11):169-175
[13]	宫本辉, 姚力, 傅旭, 等. 基于等效负荷区间和随机生产模拟的新能源接纳能力快速计算方法[J]. 电力建设, 2016, 37(03):24-30 GONG Benhui, YAO Li, FU Xu, et al. A fast calculation method for accommodation capacity of renewable energy based on the equivalent load interval and probability production simulation[J]. Electric Power Construction, 2016, 37(03):24-30
[14]	张文秀, 韩肖清, 宋述勇, 等. 计及源-网-荷不确定性因素的马尔科夫链风电并网系统运行可靠性评估[J]. 电网技术, 2018, 42(3):762-771 ZHANG Wenxiu, HAN Xiaoqing, SONG Shuyong, et al. Operational reliability evaluation of wind integrated power systems based on Markov chain considering uncertainty factors of source-grid-load[J]. Power System Technology, 2018, 42(3):762-771
[15]	张秉良, 张博颐, 吴耀武, 等. 基于随机生产模拟的风电场容量及电量效益[J]. 中国电力, 2013, 46(8):74-79 ZHANG Bingliang, ZHANG Boyi, WU Yaowu, et al. An approach to evaluate the capacity benefits and energy benefits of wind farms based on probabilistic product simulation[J]. Electric Power, 2013, 46(8):74-79
[16]	张智勤. 含新能源电力系统的随机生产模拟及评估[D]. 北京:华北电力大学, 2017. ZHANG Zhiqin. Stochastic production simulation and evaluation of power system with new energy sources[D]. North China Electric Power University, 2017.
[17]	廖庆龙, 谢开贵, 胡博. 含风电和储能电力系统的时序随机生产模拟[J]. 电网技术, 2017, 41(9):2769-2776 LIAO Qinglong, XIE Kaigui, HU Bo. Sequential probabilistic production simulation of power systems with wind power and energy storage[J]. Power System Technology, 2017, 41(9):2769-2776
[18]	李泓泽, 陆昊, 李兵抗. 基于随机生产模拟的风电优先调度对发电企业的外部性量化研究[J]. 电网技术, 2017, 41(12):3803-3808 LI Hongze, LU Hao, LI Bingkang. Quantitative research on externalities brought by wind power priority scheduling to power generation enterprises based on probabilistic production simulation[J]. Power System Technology, 2017, 41(12):3803-3808
[19]	冯长有, 梁志峰. 考虑潮流断面约束的电力系统随机生产模拟[J]. 电网技术, 2013, 37(2):493-499 FENG Changyou, LIANG Zhifeng. Power system probabilistic production simulation considering constraints of tie line power flows[J]. Power System Technology, 2013, 37(2):493-499
[20]	姚力, 黄镔, 王秀丽, 等. 考虑风火联合外送的互联系统随机生产模拟[J]. 电网技术, 2015, 39(5):1219-1225 YAO Li, HUANG bin, WANG Xiuli, et al. Probabilistic production simulation of interconnected system by considering the joint delivery of wind power and thermal power generation[J]. Power System Technology, 2015, 39(5):1219-1225

基于交换卷积的含高比例新能源电力系统运行评估方法

Operation Evaluation Method of High Proportion Renewable Energy Power System Based on Exchange Convolution

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 20

相关文章 15

编辑推荐

Metrics

[1]	李健, 张钧, 韩新阳, 靳晓凌. 新型电力系统形态量化推演方法的总体框架与功能设计[J]. 中国电力, 2025, 58(3): 1-7, 97.
[2]	张磊, 马晓伟, 王满亮, 陈力, 高丙团. 互联新能源电力系统区内AGC机组分布式协同控制策略[J]. 中国电力, 2025, 58(3): 8-19.
[3]	汪林光, 李旭涛, 任勇, 谢小荣. 基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法[J]. 中国电力, 2025, 58(3): 65-72.
[4]	张沛, 杨马婧, 张放, 谢桦, 刘广一, 李文云, 路学刚, 王珍意, 翟苏巍. 图数据库与图计算在电力系统调度运行应用综述[J]. 中国电力, 2025, 58(3): 119-131.
[5]	高志远, 庄卫金, 李峰, 于芳, 张鸿, 王艳, 夏旻. 调控领域人工智能应用的高复用性验证平台[J]. 中国电力, 2025, 58(3): 142-150.
[6]	汤明润, 李若旸, 刘慕然, 程晓钰, 刘铫, 杨淑霞. 电力系统稳态下可再生能源大规模接入量预测[J]. 中国电力, 2025, 58(2): 126-132.
[7]	赵晨浩, 焦在滨, 李程昊, 张迪, 张鹏辉. 基于主动迁移学习的电力系统暂态稳定自适应评估[J]. 中国电力, 2025, 58(1): 70-77.
[8]	董武, 张健, 周勤勇, 张立波, 龚浩岳. 中国电力系统安全稳定性演化综述[J]. 中国电力, 2025, 58(1): 115-127.
[9]	邹小燕, 张瑞宏. 考虑政府干预的可再生能源与储能企业合作模式演化博弈研究[J]. 中国电力, 2025, 58(1): 153-163.
[10]	王雨晴, 张敏, 王嘉兴, 李泊皓, 杨天阳, 曾鸣. 基于超模博弈的共享储能容量租赁价格决策[J]. 中国电力, 2025, 58(1): 164-173.
[11]	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.
[12]	朱瑞, 娄奇鹤, 靳晓凌, 刘畅. 适应新型电力系统的电网基建功能化投资结构演化研究[J]. 中国电力, 2024, 57(9): 194-204.
[13]	傅观君, 张富强, 夏鹏, 冯君淑, 张晋芳. 天然气发电在新型电力系统中的功能定位及发展前景研判[J]. 中国电力, 2024, 57(8): 67-74.
[14]	孙东磊, 孙毅, 刘蕊, 孙鹏凯, 张玉敏. 计及多层级配电网的分布式新能源最大消纳空间分解测算[J]. 中国电力, 2024, 57(8): 108-116.
[15]	翟苏巍, 李银银, 杜凡, 李文云, 潘凯岩, 梁峻恺. 考虑海量分布式能源接入的配电网分布式无功控制策略[J]. 中国电力, 2024, 57(8): 138-144.

模态框（Modal）标题

基于交换卷积的含高比例新能源电力系统运行评估方法

Operation Evaluation Method of High Proportion Renewable Energy Power System Based on Exchange Convolution

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 20

相关文章 15

编辑推荐

Metrics