Joint planning of electricity-gas distribution network based on mixed integer second-order cone programming

被引：0
|
作者：
Zhou X. [1 ]
Guo C. [1 ]
Chen W. [1 ]
Li Y. [1 ]
Zhang Z. [1 ]
Zhao D. [2 ]
Zhang W. [2 ]
Liu X. [2 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Hangzhou
[2] State Grid Sichuan Economic Research Institute, Chengdu
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2019年 / 39卷 / 06期
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
Electricity distribution network; Electricity-gas distribution network; Gas distribution network; Integrated energy system; Joint planning; MISOCP; Models; Reconfiguration of electricity distribution network;
D O I：
10.16081/j.issn.1006-6047.2019.06.001
中图分类号：
学科分类号：
摘要：
A joint planning model of EGDN(Electricity-Gas Distribution Network) considering the reconfiguration of electricity distribution network and hourly power flow variation is proposed. On the one hand,the reconfiguration of electricity distribution network is integrated to optimize the operation state of the system,and the collaborative planning between the two networks can play a complementary and mutual role among different energy sources and improve the system's reliability and operational efficiency. On the other hand,the operation state of the system is des-cribed in detail by considering the power flow equation of electricity distribution network and gas distribution network hourly. In order to solve this non-linear non-convex model,the original problem is appropriately relaxed and converted into a MISOCP(Mixed Integer Second-Order Cone Programming) problem which can be solved directly. Simulative results show that the proposed planning model significantly improves the reliability of the system,reduces the configuration capacity of related equipment,decreases the energy transmission loss,and reduces the overall planning and operating costs. It proves that MISOCP model is more able to obtain the planning scheme meeting the actual engineering requirements,compared with the simple mixed integer linear programming model. © 2019, Electric Power Automation Equipment Press. All right reserved.
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页码：1 / 11
页数：10
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