Decentralized day-ahead scheduling of multi-area integrated electricity and natural gas systems considering reserve optimization

被引：32
|
作者：
Wu, Gang [1 ]
Xiang, Yue [1 ]
Liu, Junyong [1 ]
Gou, Jing [2 ]
Shen, Xiaodong [1 ]
Huang, Yuan [1 ]
Jawad, Shafqat [1 ]
机构：
[1] Sichuan Univ, Coll Elect Engn, Chengdu 610065, Peoples R China
[2] State Grid Sichuan Econ Res Inst, Chengdu 610041, Peoples R China
来源：
ENERGY | 2020年 / 198卷
基金：
中国国家自然科学基金;
关键词：
Multi-area integrated electricity and natural gas systems; Reserve optimization; Uncertainties; ADMM; Chance-constrained programming; DAY-AHEAD DISPATCH; ENERGY; POWER; GENERATION;
D O I：
10.1016/j.energy.2020.117271
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
To maximize the benefits of multi-area cooperation and guarantee system reliability, a day-ahead scheduling model for multi-area integrated electricity and natural gas systems (IEGS) considering reserve optimization is proposed in this paper. The reserve scheduling is integrated into the multi-area optimal dispatch model to hedge against the risk caused by the uncertainties in electricity and gas systems. The reserve constraints in electricity and natural gas systems are modeled as probabilistic forms with a predefined confidence level based on chance-constrained programming (CCP). In order to protect the information privacy of each area, the original centralized energy-reserve co-optimization problems are decomposed into several area sub-problems that can be solved independently. Furthermore, the alternating direction method of multipliers (ADMM) with self-adaptive penalty parameters is adopted to solve the proposed model in a decentralized manner. The feasibility and effectiveness of the proposed models and methods are verified in a three-area IEGS. (C) 2020 Elsevier Ltd. All rights reserved.
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页数：14
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