电-气-氢混联综合能源配网灵活运行域模型

doi:10.19595/j.cnki.1000-6753.tces.241804

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Abstract The integration of high proportions of renewable energy and hydrogen blending in gas pipelines presents significant challenges for the flexible operation of distribution networks. Currently, the operation domain of distribution networks emphasizes the flexibility characterization of active and reactive power in a single time segment, while there is a lack of research focusing on the construction of multi-time segment operation domain models under multi-energy coupling. Furthermore, due to the high-dimensional nonlinearity of the coupled electrical-gas-hydrogen multi-energy flow equations, the analytical methods based on projection approximation are difficult to apply directly to construct the operation domain. Additionally, simulation methods for searching boundary points also suffer from low computational efficiency. To address this, this paper uses electrical-gas-hydrogen coupling as a framework, taking into account the dynamic hydrogen production characteristics of hydrogen generation units and the quasi-dynamic operation processes of the gas network under pipeline hydrogen blending, thereby constructing a flexible operation domain model for integrated electrical-gas-hydrogen energy distribution networks.
Firstly, considering the quasi-dynamic operation process of pipeline hydrogen blending in the distribution network, a coupled electrical-gas-hydrogen integrated energy distribution network operation model was established. Next, taking into account photovoltaic forecasting errors and the multi-cross-section time-domain coupling characteristics of the system, an opportunity-constrained flexible operation domain model for the distribution network with pipeline hydrogen blending was constructed. Then, the radial adaptive reconstruction algorithm was utilized to obtain the boundary operational points of the flexible operation domain, and the flexible operation domain space was constructed based on these points. Finally, tests were conducted within a coupled electrical-gas system composed of a 33-node distribution network and a 20-node gas network, where the visually represented flexible operation domain space accurately and intuitively depicted the impact of photovoltaic uncertainty and flexible resource regulation characteristics on the flexible regulation capability of the distribution network.
Based on the results of the case studies, the following conclusions can be drawn: (1) The multi-time segment flexible operation domain constructed in this paper characterizes the active regulation capability of the distribution network across different time segments, thereby providing a technical reference for multi-period scheduling and rolling optimization of the distribution network, supporting the flexible operation of renewable energy-based distribution networks. (2) The opportunity-constrained operation domain effectively considers the impact of photovoltaic output uncertainty on the flexible operation of the distribution network, revealing that under high confidence levels, the flexible operation space of the distribution network is constrained. The selection of actual confidence levels must comprehensively take into account the accuracy of photovoltaic forecasting and operational risks. (3) The upper limit of hydrogen injection ratios in the gas network pipeline directly affects the flexible operation domain space of the distribution network, with significant differences observed under 2%, 6%, and 10% hydrogen blending ratios. Additionally, the flexible injection of green hydrogen must adequately consider the safe operational constraints of the blended gas network.

Key words： Distribution network natural gas network with hydrogen injections flexible operating region chance-constrained optimization

Received: 16 October 2024

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	Chen Sheng
	Chen Mingjian
	Wei Zhinong
	Sun Guoqiang
	Zang Haixiang

Cite this article:

Chen Sheng,Chen Mingjian,Wei Zhinong等. Flexible Operation Region for Integrated Electric-Gas-Hydrogen Distribution Network[J]. Transactions of China Electrotechnical Society, 2025, 40(19): 6101-6114.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.241804 OR https://dgjsxb.ces-transaction.com/EN/Y2025/V40/I19/6101

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