Measurement configuration for integrated electric–gas systems via observability analysis considering gas flow dynamics

IF 1.6 Q4 ENERGY & FUELS
Zeming Chen, Zhigang Li, Huajian Li, Jiahui Zhang, Yixuan Li, Jiehui Zheng
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引用次数: 0

Abstract

State estimation plays an important role in the monitoring and control of integrated electric–gas systems (IEGSs), but it faces limitations due to insufficient measurement configurations and low data redundancy in these systems; additional measurement configurations are needed to increase the overall system observability. Owing to the lack of suitable observability analysis methods, optimal measurement configurations for IEGSs remain underexplored. This paper presents an IEGS observability analysis method that incorporates gas flow dynamics via the Lie derivative. This method incorporates the complex topological structure of the gas network and the dynamic process of gas flow into the IEGS observability analysis. Furthermore, the measurement configuration problem for IEGSs considering gas flow dynamics is formulated as a rank-constrained optimization problem. To handle the rank constraints effectively, an iterative cutting method is developed with convergence guarantees. Finally, the efficacy and practicality of the proposed methods are validated through case studies of varying scales. The proposed optimal measurement configuration model reduces measurement configuration costs while maintaining system observability.

Abstract Image

考虑气流动力学的电-气集成系统的可观测性分析测量配置
状态估计在电-气综合系统的监测和控制中发挥着重要作用,但由于测量配置不足和数据冗余度低,存在一定的局限性。需要额外的测量配置来增加整个系统的可观察性。由于缺乏合适的可观测性分析方法,iegs的最佳测量配置仍未得到充分探索。本文提出了一种通过李氏导数结合气流动力学的IEGS可观测性分析方法。该方法将燃气网络的复杂拓扑结构和燃气流动的动态过程融入到IEGS的可观测性分析中。在此基础上,将考虑气体流动动力学的iegs测量配置问题表述为秩约束优化问题。为了有效地处理秩约束,提出了一种具有收敛性保证的迭代切割方法。最后,通过不同规模的案例研究验证了所提方法的有效性和实用性。提出的最优测量配置模型在保持系统可观测性的同时降低了测量配置成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
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