Application Function Design for UPFC Online Operation Optimization Decision-making

Feng LI; Huimin PENG; Huling YUAN; Fangru WAN; Tiangang HUANG; Wei LI

doi:10.11930/j.issn.1004-9649.202001021

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Application Function Design for UPFC Online Operation Optimization Decision-making

Power System | 更新时间：2025-06-18

- Application Function Design for UPFC Online Operation Optimization Decision-making
- Electric Power Vol. 54, Issue 7, Pages: 76-82(2021)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202001021
  CLC：
- Received：05 January 2020，
  
  Revised：2020-09-15，
  
  Published：05 July 2021
- 稿件说明：
移动端阅览
Feng LI, Huimin PENG, Huling YUAN, et al. Application Function Design for UPFC Online Operation Optimization Decision-making[J]. Electric power, 2021, 54(7): 76-82.
DOI：

Feng LI, Huimin PENG, Huling YUAN, et al. Application Function Design for UPFC Online Operation Optimization Decision-making[J]. Electric power, 2021, 54(7): 76-82. DOI： 10.11930/j.issn.1004-9649.202001021.

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。

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.

关键词

Keywords

references

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Numerical Recognition Algorithm for Power Equipment Monitoring Based on Light-Resnet Convolutional Neural Network

Review and Prospect of Distribution Network Resilience Assessment and Improvement Based on CiteSpace

A Particle Swarm Optimization Algorithm for Smart Grid Voltage Collapse Path

Operation and Application of Flexible Distribution Multi-state Switch With Three Teminals

Related Author

Zhiheng KONG

Peiyao TANG

Chengbo HU

Min ZHENG

Chong TAN

Yan WU

Guangzheng WANG

Jie XU

Related Institution

State Grid Jiangsu Electric Power Company Ltd. Research Institute

Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences

School of Electrical Engineering, North China University of Water Resources and Hydropower

Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Ministry of Education, Anhui Polytechnic University

Foshan Power Supply Bureau, Guangdong Power Grid Corporation

AI问答

⁰