基于在线分布负荷预测的智能AGC主动协调控制系统

doi:10.11930/j.issn.1004-9649.2015.12.122.6

中国电力 ›› 2015, Vol. 48 ›› Issue (12): 122-128.DOI: 10.11930/j.issn.1004-9649.2015.12.122.6

基于在线分布负荷预测的智能AGC主动协调控制系统

石辉

国网湖南省电力公司电力调度控制中心,湖南长沙 410007

收稿日期:2015-09-03 出版日期:2015-12-18 发布日期:2015-12-30
作者简介:石辉（1986—）,男,湖北孝感人,工学硕士,工程师,从事电力调度运行与分析工作。E-mail: 357970809@qq.com

Study on the Intelligent AGC Initiative Coordinated Control System Based on the Online Prediction of Distributed Power Load

SHI Hui

Hunan Electric Power Dispatch & Control Center of SGCC, Changsha 410007, China

Received:2015-09-03 Online:2015-12-18 Published:2015-12-30

摘要/Abstract

摘要： 针对传统AGC实时调度面向特高压智能电网存在的不足,立足于D5000一体化数据平台,提出一种由多模块组合的智能AGC主动协调控制系统。主程序模块通过全网分布负荷超短期同步预测,自动进行AGC可调判断、开/停机筛选、实时出力调节;辅助模块嵌套执行操作前预调节、事故后紧急调节任务。该系统能根据负荷变化自动优选并远程开/停水电机组,自动优化控制全网机组出力,协助调度员自动进行设备停电前的预调节及事故跳闸后紧急调节。仿真算例表明,该系统能有效提高最优日前发电计划的执行率并优化运行指标,促进电网进行趋稳调节,减轻调度员劳动强度。

关键词: 超短期, 智能AGC, 实时调节, 预调节, 紧急调节

Abstract: Based on the D5000 integrated data platform, an intelligent AGC initiative coordinated control system is proposed, which is composed of multi-modules. The main program module can, through ultra short-term synchronized forecasting of the distributed load, carry out several functions automatically, including AGC adjustable judgment, start/stop unit screening, real-time output adjustment. The auxiliary module can proceed the pre-conditionings before switching and emergency adjustment after accidents. The intelligent AGC system can automatically optimize and remotely start/stop hydropower units according to the load fluctuation, and automatically optimize the unit output of the whole grid. Besides, the AGC system can assist the dispatchers to perform pre-conditions before the equipment blackout and emergency adjustment after accident trip. The simulation case shows that the system can not only effectively improve the implementation rate of optimal short-term generation scheme and optimize the performance indicators, but also assist the power grid stabilization adjustment and reduce the labor intensity of dispatchers.

Key words: ultra short-term, intelligent AGC, real-time adjustment, pre-conditioning, emergency adjustment

中图分类号:

TM732

石辉. 基于在线分布负荷预测的智能AGC主动协调控制系统[J]. 中国电力, 2015, 48(12): 122-128.

SHI Hui. Study on the Intelligent AGC Initiative Coordinated Control System Based on the Online Prediction of Distributed Power Load[J]. Electric Power, 2015, 48(12): 122-128.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.2015.12.122.6

https://www.electricpower.com.cn/CN/Y2015/V48/I12/122

参考文献

[1] 高宗和,丁恰,温柏坚,等. 利用超短期负荷预报实现AGC的超前控制[J]. 电力系统自动化,2000,24（11）：42-44.
GAO Zonghe, DING Qia, WEN Bojian, et al . AGC-in-advance based on super-short-term load forecasting[J]. Automation of Electric Power Systems, 2000, 24(11): 42-44.
[2] 何茜. 基于组合预测模型的超短期大波动负荷预测[D]. 重庆：重庆大学,2012.
[3] 刘峻,周喜超. 基于超短期风电功率预测的风电场自动发电控制[J]. 中国电力,2011,44（2）：74-77.
LIU Jun, ZHOU Xichao. Wind farm automatic generation control based on ultra-short-term wind-power forecasts [J]. Electric Power, 2011, 44(2): 74-77.
[4] 石恒初,刘和森. 安全有功实时调度在云南电网AGC中的应用[J]. 南方电网技术,2010,4（1）：48-50.
SHI Hengchu, LIU Hesen. Application of security active power real-time dispatching to AGC in Yunnan electric power grid [J]. Southern Power System Technology, 2010, 4(1): 48-50.
[5] 夏清,钟海旺,康重庆. 安全约束机组组合理论与应用的发展和展望[J]. 中国电机工程学报,2013,33（16）：94-103.
XIA Qing, ZHONG Haiwang, KANG Chongqing. Review and prospects of the security constrained unit commitment theory and applications [J]. Proceedings of the CSEE, 2013, 33(16): 94-103.
[6] 张舒,胡泽春,宋永华,等. 基于网损因子迭代的安全约束机组组合算法[J]. 中国电机工程学报,2012,32（7）：76-82.
ZHANG Shu, HU Zechun, SONG Yonghua, et al . Security constrained unit commitment algorithm considering network losses based on an iterative loss factor calculation [J]. Proceedings of the CSEE, 2012, 32(7): 76-82.
[7] 熊小伏,秦志龙,朱继忠. 计及安全约束和网损修正的节能发电调度方法及实践[J]. 中国电力,2010,43（9）：24-27.
XIONG Xiaofu, QIN Zhilong, ZHU Jizhong. Method and practice for energy-saving power generation dispatching with the security constraints and network losses correction[J]. Electric Power, 2010, 43(9): 24-27.
[8] 杨争林,唐国庆. 全周期变时段“三公”调度发电计划优化模型[J]. 电网技术,2011,35（2）：132-136.
YANG Zhenglin, TANG Guoqing. A generation scheduling optimization model suitable to complete period and variable intervals and conforming to principles of openness,equity and justness [J]. Power System Technology, 2011, 35(2): 132-136.
[9] 李利利,耿建,姚建国,等. 均衡发电量调度模式下的SCED模型和算法[J]. 电力系统自动化,2010,34（15）：23-27.
LI Lili, GENG Jian, YAO Jianguo, et al . Model and algorithm for security constrained economical dispatch in equilibrium power generation dispatching mode[J]. Automation of Electric Power Systems, 2010, 34(15): 23-27.
[10] 徐帆,耿建,姚建国,等. 安全约束经济调度建模及应用[J]. 电网技术,2010,34（11）：55-58.
XU Fan, GENG Jian, YAO Jianguo, et al . Modeling and application of security constrained economic dispatch[J]. Power System Technology, 2010, 34(11): 55-58.
[11] 余涛,于文俊,李章文. 基于CPS标准的AGC变论域模糊松弛控制方法[J]. 电力系统自动化,2009,33（23）：37-41.
YU Tao, YU Wenjun, LI Zhangwen. Fuzzy control with variable universe and its application to AGC relax control based on CPS[J]. Automation of Electric Power Systems, 2009, 33(23): 37-41.
[12] 叶荣,陈皓勇,娄二军. 基于微分博弈理论的频率协调控制方法[J]. 电力系统自动化,2011,35（20）：41-45.
YE Rong, CHEN Haoyong, LOU Erjun. A coordinated frequency control method based on differential game theory[J]. Automation of Electric Power Systems, 2011, 35(20): 41-45.
[13] 谢国辉,张粒子,王卿然. 不同发电调度方式调度效果比较分析[J]. 中国电力,2010,43（9）：11-14.
XIE Guohui, ZHANG Lizi, WANG Qingran. Comparative analysis for scheduling results of different generation dispatching modes[J]. Electric Power, 2010, 43(9): 11-14.

基于在线分布负荷预测的智能AGC主动协调控制系统

Study on the Intelligent AGC Initiative Coordinated Control System Based on the Online Prediction of Distributed Power Load

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics

[1]	杨鹏伟, 赵丽萍, 陈军法, 甄钊, 王飞, 李利明. 基于相似时段匹配与Transformer网络建模的分布式光伏超短期功率预测方法[J]. 中国电力, 2024, 57(12): 60-70.
[2]	吴晓刚, 阎洁, 葛畅, 唐雅洁, 倪筹帷, 季青锋. 基于改进GRU-CNN的风光水一体化超短期功率预测方法[J]. 中国电力, 2023, 56(9): 178-186,205.
[3]	黄启航, 马雪, 白左霞, 陶昕, 王秀丽. 面向灵活资源配置的电力系统超短期优化调度[J]. 中国电力, 2019, 52(6): 104-110,120.
[4]	索春梅, 孙健, 张宗峰, 王贤宗. 基于灰色关联理论与经验模态分解的光伏出力超短期预测[J]. 中国电力, 2017, 50(12): 159-164.
[5]	杨茂，张强. 基于相关向量机的风电功率实时预测研究[J]. 中国电力, 2016, 49(8): 64-68.
[6]	杨茂，董骏城. 一种多输出模型的风电功率超短期预测方法[J]. 中国电力, 2016, 49(12): 127-132.
[7]	张娜，王守相，王亚旻. 基于掩模经验模态分解的风速组合预测模型[J]. 中国电力, 2014, 47(5): 129-135.

模态框（Modal）标题

基于在线分布负荷预测的智能AGC主动协调控制系统

Study on the Intelligent AGC Initiative Coordinated Control System Based on the Online Prediction of Distributed Power Load

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics