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A Hybrid State Estimation Approach for Integrated Heat and Electricity Networks Considering Time-scale Characteristics
Journal of Modern Power Systems and Clean Energy ( IF 5.7 ) Pub Date : 2020-07-09 , DOI: 10.35833/mpce.2019.000230
Tongtian Sheng , Guanxiong Yin , Qinglai Guo , Hongbin Sun , Zhaoguang Pan

State estimation (SE) usually serves as the basic function of the energy management system (EMS). In this paper, the time-scale characteristics of the integrated heat and electricity networks are studied and an SE model is established. Then, a two-stage iterative algorithm is proposed to estimate the time delay of heat power transportation in the pipeline. Meanwhile, to accommodate the measuring resolutions of the integrated network, a hybrid SE approach is developed based on the two-stage iterative algorithm. Results show that, in both steady and dynamic processes, the two-stage estimator has good accuracy and convergence. The hybrid estimator has good performance on tracking the variation of the states in the heating network, even when the available measurements are limited.

中文翻译:

考虑时标特性的热电网络混合状态估计方法

状态估计(SE)通常充当能源管理系统(EMS)的基本功能。本文研究了热电网络的时标特性,建立了SE模型。然后,提出了一种两阶段迭代算法来估计管道中热力传输的时间延迟。同时,为了适应集成网络的测量分辨率,基于两阶段迭代算法开发了混合SE方法。结果表明,在稳定和动态过程中,两阶段估计量均具有良好的精度和收敛性。即使在可用测量受到限制的情况下,混合估算器在跟踪加热网络中状态的变化方面也具有良好的性能。
更新日期:2020-07-24
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