Decentralized Coordinated Distributionally Robust Optimal Scheduling of Multi-area Interconnected Electricity-Gas Coupling System

被引：0
|
作者：
Zhang Y. [1 ]
Xie S. [1 ]
Zhu S. [2 ]
机构：
[1] School of Electrical Engineering and Automation, Fuzhou University, Fuzhou
[2] Electric Power Dispatching and Control Center of Hunan Electric Power Co., Ltd., Changsha
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 19期
基金：
中国国家自然科学基金;
关键词：
decentralized coordination; distributionally robust optimization; integrated energy system; multi-area electricity-gas coupling system; multiple uncertainties; parallel regularization;
D O I：
10.7500/AEPS20211228005
中图分类号：
学科分类号：
摘要：
The deep coupling and complementary coordination of heterogeneous energy flows such as electricity and natural gas hare made the multi-area interconnected electricity-gas coupling system for renewable energy consumption become an essential direction for the development of Energy Internet in the future. In this context, comprehensively considering the multiple uncertain factors such as wind power output, gas consumption of gas-fired units and the interaction energy flow through tie-lines between distribution networks, a decentralized coordinated optimal scheduling framework based on the multi-agent autonomous decision for the multi-area integrated energy system is proposed. Firstly, a distributionally robust optimal scheduling model based on the ambiguity set of wind power output is established for the distribution network. Combined with duality theory and linear decision rules, the above semi-infinite optimization problem is transformed into a linear programming problem. Secondly, the second-order cone programming model for gas network is built, and according to the uncertain set of gas consumption for gas-fired units, the feasibility of its reserve configuration in the distribution network is tested. Then, the decoupling mechanism of energy flows in multi-area interconnected system is analyzed and an alternative direction method of multipliers based on parallel regularization is developed to solve the decentralized coordinated scheduling model for multi-area electricity-gas coupling system. Finally, the case results demonstrate the effectiveness and practicability of the proposed model and solution method. © 2022 Automation of Electric Power Systems Press. All rights reserved.
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页码：31 / 42
页数：11
相关论文
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