UPFC在线运行优化辅助决策应用功能设计

doi:10.11930/j.issn.1004-9649.202001021

中国电力 ›› 2021, Vol. 54 ›› Issue (7): 76-82.DOI: 10.11930/j.issn.1004-9649.202001021

UPFC在线运行优化辅助决策应用功能设计

李峰^1,2, 彭慧敏^1,2, 袁虎玲^1,2, 万芳茹^1,2, 黄天罡^1,2, 李威^1,2

1. 国电南瑞科技股份有限公司，江苏南京 211106;
2. 南瑞集团有限公司（国网电力科学研究院有限公司），江苏南京 211106

收稿日期:2020-01-05 修回日期:2020-09-15 发布日期:2021-07-12
作者简介:赵吉贤(1995-),男,硕士研究生,从事交直流系统的分析与控制研究,E-mail:1406232213@qq.com;李凤婷(1965-),女,博士,教授,从事交直流混联系统的运行控制与保护研究,E-mail:xjlft2009@sina.com
基金资助:
国家电网公司科技项目(500 kV统一潮流控制器协调控制和保护配合技术研究，5210EF17002B)

Application Function Design for UPFC Online Operation Optimization Decision-making

LI Feng^1,2, PENG Huimin^1,2, YUAN Huling^1,2, WAN Fangru^1,2, HUANG Tiangang^1,2, LI Wei^1,2

1. NARI Technology Company Limited, Nanjing 211106, China;
2. NARI Group Corporation/State Grid Electric Power Research Institute, Nanjing 211106, China

Received:2020-01-05 Revised:2020-09-15 Published:2021-07-12
Supported by:
This work is supported by Science and Technology of SGCC (Research on Coordinated Control and Protection Coordination Technology of 500 kV UPFC, No. 5210EF17002B).

摘要/Abstract

摘要： 由于缺乏UPFC实时运行优化指导工具，UPFC强大的潮流控制能力无法灵活发挥。基于智能电网调度控制系统设计了UPFC运行优化辅助决策应用功能，根据实际UPFC工程限额工作模式下潮流计算特点，求解UPFC控制措施灵敏度，利用在线丰富的计算资源，进行UPFC多控制目标集群并行计算，获取UPFC静态安全控制措施和潮流优化控制措施。该应用功能可利用UPFC控制能力提高电网运行的灵活性，为调度运行人员提供辅助决策。苏州南部电网500 kV UPFC工程算例分析说明了UPFC在线运行优化辅助决策计算流程，结果显示所提方法可有效解决UPFC近区静态安全问题，并优化近区网络损耗。

关键词: 智能电网, 调度控制系统, 统一潮流控制器, 静态安全, 潮流优化, 集群计算

Abstract: Due to the lack of guide tools for UPFC real-time operation optimization, the powerful power flow control capability of UPFC cannot be played flexibly. An UPFC operation optimization decision-making application function is designed based on the smart grid dispatching control system. According to the power flow calculation characteristics of UPFC project under actual quota working mode, the sensitivity of the UPFC control measures is solved. Parallel computing of the UPFC multi-control target set is carried out using the rich online computing resources, and the UPFC static security control measures and power flow optimization control measures are obtained. The designed application function makes full use of the UPFC control capability to improve the flexibility of power grid operation, and provides decision-making support for dispatching operators. The calculation process for UPFC online operation optimization is illustrated through a case study of the 500 kV UPFC project of Suzhou southern power grid. The results show that the proposed method can effectively solve the static security problem of the region near UPFC and optimize the near region network loss.

Key words: smart grid, dispatching and control system, unified power flow controller, static security, power flow optimization, cluster computing

李峰, 彭慧敏, 袁虎玲, 万芳茹, 黄天罡, 李威. UPFC在线运行优化辅助决策应用功能设计[J]. 中国电力, 2021, 54(7): 76-82.

LI Feng, PENG Huimin, YUAN Huling, WAN Fangru, HUANG Tiangang, LI Wei. Application Function Design for UPFC Online Operation Optimization Decision-making[J]. Electric Power, 2021, 54(7): 76-82.

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https://www.electricpower.com.cn/CN/Y2021/V54/I7/76

参考文献

[1] 谢小荣, 姜齐荣.柔性交流输电系统的原理与应用[M].北京:清华大学出版社, 2006.
XIE Xiaorong, JIANG Qirong. Flexible AC transmission systems:principle and applications[M]. Beijing:Tsinghua University Press, 2006.
[2] 刘前进, 孙元章, 黎雄, 等. UPFC潮流控制与优化的研究[J]. 电力系统自动化, 2000, 24(18):23-26
LIU Qianjin, SUN Yuanzhang, LI Xiong, et al. A study of power flow control and optimization by UPFC[J]. Automation of Electric Power Systems, 2000, 24(18):23-26
[3] 李海峰, 王相锋, 陈中, 等. 统一潮流控制器相角控制策略与矢量控制策略的量化比较方法[J]. 电网技术, 2016, 40(8):2330-2337
LI Haifeng, WANG Xiangfeng, CHEN Zhong, et al. Quantitative comparison methods of a power-angle controlled and vector-current controlled UPFC[J]. Power System Technology, 2016, 40(8):2330-2337
[4] 蔡晖, 祁万春, 黄俊辉, 等. 统一潮流控制器在南京西环网的应用[J]. 电力建设, 2015, 36(8):73-78
CAI Hui, QI Wanchun, HUANG Junhui, et al. Application of UPFC in Nanjing western power system[J]. Electric Power Construction, 2015, 36(8):73-78
[5] 李群, 林金娇, 李鹏. 500 kV苏南UPFC控制功能研究及性能试验[J]. 电力工程技术, 2018, 37(6):13-19
LI Qun, LIN Jinjiao, LI Peng. Control function research and performance test of southern Suzhou 500 kV power grid UPFC project[J]. Electric Power Engineering Technology, 2018, 37(6):13-19
[6] 张宁宇, 刘建坤, 周前, 等. 考虑统一潮流控制器的线路最大传输功率计算方法[J]. 电力系统及其自动化学报, 2018, 30(11):107-113
ZHANG Ningyu, LIU Jiankun, ZHOU Qian, et al. Calculation method for maximum transmission power with unified power flow controller[J]. Proceedings of the CSU-EPSA, 2018, 30(11):107-113
[7] 祁万春, 杨林, 宋鹏程, 等. 南京西环网UPFC示范工程系统级控制策略研究[J]. 电网技术, 2016, 40(1):92-96
QI Wanchun, YANG Lin, SONG Pengcheng, et al. UPFC system control strategy research in Nanjing western power grid[J]. Power System Technology, 2016, 40(1):92-96
[8] 杨健, 宋鹏程, 徐政, 等. 特高压直流接入背景下的UPFC系统级控制策略[J]. 电力系统自动化, 2019, 43(10):109-120
YANG Jian, SONG Pengcheng, XU Zheng, et al. System-level control strategy for UPFC power grids integrated with UHVDC[J]. Automation of Electric Power Systems, 2019, 43(10):109-120
[9] 高雯曼, 任建文, 申旭辉, 等. 基于断面负载均衡度的统一潮流控制器潮流优化控制方法[J]. 电力系统自动化, 2018, 42(24):79-86
GAO Wenman, REN Jianwen, SHEN Xuhui, et al. Control method of power flow optimization for unified power flow controller based on section load balance degree[J]. Automation of Electric Power Systems, 2018, 42(24):79-86
[10] 汪惟源, 窦飞, 杨林, 等. UPFC在江苏电网中的应用与控制效果[J]. 电网与清洁能源, 2016, 32(3):92-97
WANG Weiyuan, DOU Fei, YANG Lin, et al. Applications and control results of UPFC in Jiangsu power grid[J]. Power System and Clean Energy, 2016, 32(3):92-97
[11] 辛耀中, 石俊杰, 周京阳, 等. 智能电网调度控制系统现状与技术展望[J]. 电力系统自动化, 2015, 39(1):2-8
XIN Yaozhong, SHI Junjie, ZHOU Jingyang, et al. Technology development trends of smart grid dispatching and control systems[J]. Automation of Electric Power Systems, 2015, 39(1):2-8
[12] 李碧君, 许剑冰, 徐泰山, 等. 大电网安全稳定综合协调防御的工程应用[J]. 电力系统自动化, 2008, 32(6):25-30
LI Bijun, XU Jianbing, XU Taishan, et al. Engineering application of integrated and coordinated defense technology of large power system security and stability[J]. Automation of Electric Power Systems, 2008, 32(6):25-30
[13] 高扬, 艾芊. 基于多智能体系统的微电网联络线潮流精确控制[J]. 电力系统自动化, 2018, 42(5):140-146
GAO Yang, AI Qian. Precise control of tie-line power for microgrid based on multi-agent system[J]. Automation of Electric Power Systems, 2018, 42(5):140-146
[14] 李中豪, 张沛超, 马军, 等. 采用动态赋权的风储协调多目标优化控制方法[J]. 电力系统自动化, 2016, 40(12):94-99, 206
LI Zhonghao, ZHANG Peichao, MA Jun, et al. Dynamic weighted multi-objective optimization method for coordinated control of wind power and battery energy storage system[J]. Automation of Electric Power Systems, 2016, 40(12):94-99, 206
[15] 杨林, 蔡晖, 汪惟源, 等. 500 kV统一潮流控制器在苏州南部电网的工程应用[J]. 中国电力, 2018, 51(2):47-53
YANG Lin, CAI Hui, WANG Weiyuan, et al. Application of 500 kV UPFC in Suzhou southern power grid[J]. Electric Power, 2018, 51(2):47-53
[16] 王毅, 董毅峰, 侯俊贤, 等. 基于模块化功率注入模型的含UPFC电力系统潮流算法研究[J]. 电网技术, 2017, 41(8):2537-2542
WANG Yi, DONG Yifeng, HOU Junxian, et al. Research on power flow algorithm of power system with UPFC based on modular power injection model[J]. Power System Technology, 2017, 41(8):2537-2542
[17] 李峰, 李虎成, 於益军, 等. 基于并行计算和数据复用的快速静态安全校核技术[J]. 电力系统自动化, 2013, 37(14):75-80
LI Feng, LI Hucheng, YU Yijun, et al. Fast computing technologies for static security checking based on parallel computation and data reuse[J]. Automation of Electric Power Systems, 2013, 37(14):75-80
[18] 孙名扬, 高原, 严亚勤, 等. 智能电网调度控制系统集群化技术[J]. 电力系统自动化, 2015, 39(1):31-35
SUN Mingyang, GAO Yuan, YAN Yaqin, et al. Clustering technology for smart grid dispatching and control systems[J]. Automation of Electric Power Systems, 2015, 39(1):31-35
[19] 王胜明, 黄河, 徐泰山, 等. 一种多工作域计算资源的自适应调整方法:CN106708624A[P]. 2017-05-24.
[20] 曹生让, 丁晓群, 王庆燕, 等. 基于反向云自适应粒子群算法的多目标无功优化[J]. 中国电力, 2018, 51(7):21-27
CAO Shengrang, DING Xiaoqun, WANG Qingyan, et al. Multi-objective reactive power optimization based on opposition-based learning cloud model adaptive particle swarm optimization[J]. Electric Power, 2018, 51(7):21-27

UPFC在线运行优化辅助决策应用功能设计

Application Function Design for UPFC Online Operation Optimization Decision-making

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[15]	申旭辉, 刘建坤, 高雯曼, 张鑫, 周前. 500 kV UPFC适用场景的量化评估方法和选点方案[J]. 中国电力, 2019, 52(10): 65-71,78.

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UPFC在线运行优化辅助决策应用功能设计

Application Function Design for UPFC Online Operation Optimization Decision-making

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