计及线路热惯性效应的模型预测控制安全经济调度模型

doi:10.19595/j.cnki.1000-6753.tces.161764

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摘要

基于模型预测控制（MPC）理论,提出一种计及输电导线热惯性效应的安全经济调度模型。该模型首先以自回归滑动平均（ARMA）模型进行沿线气象预测,以直流潮流下的灵敏度矩阵进行线路电流预测,在此基础上对未来时域内的导线温度做出估计。随后,以最高允许温度对导线温度估计值进行限定,取代传统输送容量的载流量约束,构建二次规划形式的滚动优化调度模型。最后,以实际测量所得输出信息作为反馈构成控制闭环,及时修正调度策略。所提模型一方面利用线路热惯性提高了调度决策的经济程度,另一方面通过引入闭环加强了调度决策的抗干扰能力。算例仿真结果验证了模型的有效性。

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	冯凯
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关键词 ：安全经济调度, 热惯性, 模型预测控制, 滚动优化

Abstract：

A power system security economic dispatch model considering transmission line thermal inertia effect was proposed based on model predictive control methodology. Originally, the meteorological parameters along the conductor were predicted with ARMA model, while the line current was predicted with sensitivity matrix under DC power flow network model. Thus, the future conductor temperature was estimated. Then a receding horizon optimization dispatch model in quadratic programming form was constructed, in which the estimated temperature of transmission line was limited by the maximum allowable temperature instead of traditional ampacity. In the end, the real measuring outputs were taken as the feedback information to close the control loop. On one hand, model economy is promoted by transmission line thermal inertia effect; on the other hand, system security is guaranteed by model predictive control. A simulation was carried out to demonstrate the validity of the proposed model.

Key words： Security economic dispatch thermal inertia process model predictive control receding horizon optimization

收稿日期: 2016-11-10 出版日期: 2018-04-24

PACS:

TM734

基金资助:

国家自然科学基金（51607091）和中央高校基本科研业务费专项资金（30916011334）资助项目

通讯作者: 应展烽男,1982年生,副研究员,研究方向为电力系统控制、电力系统状态监测。E-mail: yingzhanfeng@163.com

作者简介: 冯凯男,1988年生,博士,研究方向为电热协调理论、电力系统经济调度。E-mail: fengkai2016@163.com

引用本文:

冯凯, 应展烽, 陈汹, 吴军基, 张旭东. 计及线路热惯性效应的模型预测控制安全经济调度模型[J]. 电工技术学报, 2018, 33(8): 1875-1883. Feng Kai, Ying Zhanfeng, Chen Xiong, Wu Junji, Zhang Xudong. Model Predictive Control Security Economic Dispatch Model Considering Transmission Line Thermal Inertia Effect. Transactions of China Electrotechnical Society, 2018, 33(8): 1875-1883.

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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.161764 https://dgjsxb.ces-transaction.com/CN/Y2018/V33/I8/1875

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