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基于数据驱动的电-热互联综合能源系统线性化潮流计算
卫志农1, 仲磊磊1, 薛溟枫2, 毛晓波2, 潘湧涛2
1.河海大学 能源与电气学院,江苏 南京 211100;2.国网江苏省电力有限公司 无锡供电分公司,江苏 无锡 214061
摘要:
电-热互联综合能源系统非线性潮流方程的线性化处理是简化电-热互联综合能源系统运行与控制分析计算的一种重要方法。基于偏最小二乘法及最小二乘法对电-热互联综合能源系统的历史数据进行处理,构建热网中节点热功率到管道流量、节点供水温度和回水温度的回归模型以及电网中节点有功和无功功率注入到节点电压相角和幅值的回归模型。结合电-热耦合单元的模型,提出一种基于数据驱动的电-热互联综合能源系统潮流线性化模型,通过历史数据与物理模型的融合克服了传统物理模型的数值稳定性问题。
关键词:  数据驱动  线性化  电-热互联综合能源系统  偏最小二乘法  最小二乘法  电-热耦合单元
DOI:10.16081/j.epae.201908020
分类号:TM744
基金项目:国家自然科学基金资助项目(51877071);国网江苏省电力有限公司科技项目(J2019017)
Linearization flow calculation for integrated electricity-heat energy system based on data-driven
WEI Zhinong1, ZHONG Leilei1, XUE Mingfeng2, MAO Xiaobo2, PAN Yongtao2
1.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;2.Wuxi Power Supply Company, State Grid Wuxi Electric Power Co.,Ltd.,Wuxi 214061, China
Abstract:
The linearization of nonlinear power flow equations for integrated electricity-heat energy system is an important method to simplify the calculation of operation and control for integrated electricity-heat energy system. The historical data of integrated electricity-heat energy system is processed based on partial least squares method and the least squares method, and the regression models of node thermal power to pipeline flow, node supplying water temperature and returning water temperature in the thermal network and node active and reactive power injection into node voltage phase angle and amplitude in the power grid are constructed. Combined with the electricity-heat coupling unit model, a flow linearization model for integrated electricity-heat energy system based on data-driven is proposed. The fusion of historical data and physical model overcomes the numerical stability problem of traditional physical model.
Key words:  data-driven  linearization  integrated electricity-heat energy system  partial least squares method  least squares method  electricity-heat coupling unit

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