Optimal planning of integrated electricity-gas transmission network considering energy supply reliability

被引：0
|
作者：
Li J. [1 ]
Wang Z. [1 ]
Jiang J. [1 ]
机构：
[1] Guangxi Key Laboratory of Power System Optimization and Energy-saving Technology, Guangxi University, Nanning
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Incremental piecewise linearization; Integrated electricity-gas energy system; Optimal planning of transmission network; Planning of coupling units; Reliability;
D O I：
10.16081/j.epae.202108027
中图分类号：
学科分类号：
摘要：
The current transmission network planning of IEGES (Integrated Electricity-gas Energy System) still focuses on the reliability of transmission system. However, the reliability of“electricity-gas”bidirectional joint supply is not sufficiently considered. Moreover, the independent planning model of traditional electricity and natural gas subsystem cannot satisfy the increasing comprehensive load demands. To address these issues, the present work measures the energy supply reliability of IEGES, and improves the “electricity-based” IEGES transmission network planning model. The reliability is introduced into the objective function and constraints. The obtained planning schemes can hence satisfy the reliability requirements, in which the repeated check and adjustment of the planning schemes are avoided. An optimal planning model of electricitygas energy transmission network is established, which considers the wind curtailment cost, energy shortage cost, electricity-gas coupling conversion, and power supply and gas supply balance. To improve the computational efficiency, the incremental piecewise linearization approach is adopted, and the original mixed-integer nonlinear programming problem is transformed into a mixed-integer linear programming problem. Simulative results on IEEE 39-bus and Belgium 20-node gas joint system indicate that the proposed planning model effectively improves the system performance in aspects of the economics, reliability and accommodation of wind power generation, which can provide technical guidance for IEGES planning. © 2021, Electric Power Automation Equipment Press. All right reserved.
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页码：164 / 172and246
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