Hydrogen-Based Networked Microgrids Planning Through Two-Stage Stochastic Programming With Mixed-Integer Conic Recourse

可再生能源 计算机科学 数学优化 整数规划 储能 解算器 随机规划 制氢 电力系统 工程类 功率(物理) 算法 数学 电气工程 化学 有机化学 物理 量子力学
作者
Xiaoyu Cao,Xunhang Sun,Zhanbo Xu,Bo Zeng,Xiaohong Guan
出处
期刊:IEEE Transactions on Automation Science and Engineering [Institute of Electrical and Electronics Engineers]
卷期号:19 (4): 3672-3685 被引量:25
标识
DOI:10.1109/tase.2021.3130179
摘要

Networked microgrids that integrate the hydrogen fueling stations (HFSs) with the on-site renewable energy sources (RES), power-to-hydrogen (P2H) facilities, and hydrogen storage could help decarbonize the energy and transportation sectors. In this paper, to support the hydrogen-based networked microgrids planning subject to multiple uncertainties (e.g., RES generation, electric loads, and the refueling demands of hydrogen vehicles), we propose a two-stage stochastic formulation with mixed integer conic program (MICP) recourse decisions. Our formulation involves the holistic investment and operation modeling to optimally site and configure the microgrids with HFSs. The MICP problems appearing in the second-stage capture the nonlinear power flow of networked microgrids system with binary decisions on storage charging/discharging status and energy transactions (including the trading of electricity, hydrogen, and carbon credits to recover the capital expenditures). To handle the computational challenges associated with the stochastic program with MICP recourse, an augmented Benders decomposition algorithm (ABD) is developed. Numerical studies on 33- and 47-bus exemplary networks demonstrate the economics viability of electricity-hydrogen coordination on microgrids level, as well as the benefits of stochastic modeling. Also, our augmented algorithm significantly outperforms existing methods, e.g., the progressive hedging algorithm (PHA) and the direct use of a professional MIP solver, which has largely improved the solution quality and reduced the computation time by orders of magnitude. Note to Practitioners—This paper proposes an optimal planning model for electricity-hydrogen microgrids with the renewable hydrogen production, storage, and refueling infrastructures. Our planning model is extended under a two-stage stochastic framework to address the multi-energy-sector uncertainties, e.g., RES generation, electric loads, and the refueling demands of hydrogen vehicles. The first-stage problem is to optimize the siting and sizing plan of microgrids. Then, in the second-stage problem, the coordinated scheduling of electricity and hydrogen supply systems is modeled as second-order conic programs (SOCPs) to accurately capture the power flow representation under stochastic scenarios. Also, the logical constraints with binary variables are introduced to describe the energy transactions and storage operations, which results in an MICP recourse structure. Note that the stochastic MICP formulation could be very challenging to compute even with a moderate number of scenarios. One challenge certainly comes from integer variables that cause the problem nonconvex. Another challenge follows from the fact that the strong duality of SOCPs might not hold in general. To mitigate those two challenges, we prove that the continuous relaxation of our recourse problem has strong duality, and make use of that continuous relaxation and other enhancements to design an augmented decomposition algorithm. As revealed by our numerical tests, the proposed decomposition method outperforms PHA in both the solution quality and computational efficiency. Comparing to the PHA, our ABD method often achieves tighter bounds with trivial optimality gaps. Also, it could reduce the computation time by orders of magnitude. With the help of advanced analytical tool, the proposed planning framework can be readily implemented in real-world applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
辣比小欣完成签到,获得积分10
刚刚
乔er一完成签到,获得积分10
刚刚
memo完成签到,获得积分10
1秒前
Danboard完成签到,获得积分20
2秒前
1111发布了新的文献求助10
2秒前
2秒前
2秒前
可爱的函函应助江水采纳,获得10
2秒前
高大梦琪完成签到,获得积分10
3秒前
3秒前
哇samm完成签到,获得积分10
4秒前
听南完成签到,获得积分10
4秒前
lothary完成签到,获得积分10
4秒前
木偶发布了新的文献求助10
4秒前
123完成签到,获得积分10
5秒前
黑衣人的秘密完成签到,获得积分10
5秒前
东方雨季发布了新的文献求助10
5秒前
SPECTRUM发布了新的文献求助10
5秒前
6秒前
非凡梦完成签到,获得积分10
6秒前
6秒前
海阔天空发布了新的文献求助10
6秒前
小罗黑的完成签到,获得积分10
6秒前
7秒前
7秒前
7秒前
FLZLC发布了新的文献求助10
7秒前
蕾子完成签到,获得积分10
7秒前
ENG发布了新的文献求助10
7秒前
8秒前
NikiJu完成签到,获得积分10
8秒前
8秒前
8秒前
mengjie完成签到,获得积分10
10秒前
日月日月发布了新的文献求助10
10秒前
孔嘉宁发布了新的文献求助10
10秒前
11秒前
12秒前
12秒前
yztz应助淡然的夜柳采纳,获得10
12秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3970240
求助须知:如何正确求助?哪些是违规求助? 3514997
关于积分的说明 11176725
捐赠科研通 3250268
什么是DOI,文献DOI怎么找? 1795244
邀请新用户注册赠送积分活动 875725
科研通“疑难数据库(出版商)”最低求助积分说明 805004