Decentralized optimization of multi-area electricity-natural gas flows based on cone reformulation
Release time:2018-07-01
Hits:
- Indexed by:
- Journal paper
- Document Code:
- 17857536
- First Author:
- Yubin He
- Correspondence Author:
- Mohammad Shahidehpour
- Co-author:
- Mingyu Yan,Zhiyi Li,Chuangxin Guo,Lei Wu,Yi Ding
- Journal:
- IEEE Transactions on Power Systems
- Included Journals:
- SCI
- Place of Publication:
- United States
- Discipline:
- Engineering
- First-Level Discipline:
- Electrical Engineering
- Document Type:
- J
- Volume:
- 33
- Issue:
- 4
- Page Number:
- 4531-4542
- ISSN No.:
- 0885-8950
- Key Words:
- Multi-area electricity-natural gas system, optimal energy flow, second-order cone programming, decentralized model, iterative ADMM.
- DOI number:
- 10.1109/TPWRS.2017.2788052
- Date of Publication:
- 2018-07-01
- Impact Factor:
- 7.326
- Abstract:
- A large-scale integrated energy system can represent several subsystems representing areas that are tied by electricity and natural gas networks. Accordingly, we propose a decentralized optimal energy flow (DOEF) calculation as compared with a centralized solution method. The proposed approach demonstrates the merits of the decentralized operation and control of a multi-area integrated electricity-natural gas system (IEGS), in terms of large-scale modeling requirements, faster computations, and data management for local sensitivity analyses. Using the proposed decentralized structure, the communication burden is relatively light as individual area operators in a multi-area IEGS will make optimal dispatch decisions independently and the corresponding information is shared with adjacent subsystems. The reformulation of the second-order cone (SOC) is proposed using advanced sequential cone programming (SCP) to handle the nonlinear steady-state natural gas flow, which provides a feasible solution with a high degree of computational efficiency. Furthermore, an iterative alternating direction method of multipliers (I-ADMM) is adopted to manage the nonconvexity of integer variables, which guarantees a satisfactory convergence performance. Case studies on three multi-area IEGS validate the effectiveness of the proposed model in a multi-area IEGS.
- Links to published journals:
- https://ieeexplore.ieee.org/abstract/document/8241852