TY - JOUR
T1 - Decentralized Optimization of Multi-Area Electricity-Natural Gas Flows Based on Cone Reformulation
AU - He, Yubin
AU - Yan, Mingyu
AU - Shahidehpour, Mohammad
AU - Li, Zhiyi
AU - Guo, Chuangxin
AU - Wu, Lei
AU - DIng, Yi
N1 - Publisher Copyright:
© 1969-2012 IEEE.
PY - 2018/7
Y1 - 2018/7
N2 - 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.
AB - 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.
KW - Multi-area electricity-natural gas system
KW - decentralized model
KW - iterative ADMM
KW - optimal energy flow
KW - second-order cone programming
UR - http://www.scopus.com/inward/record.url?scp=85040037516&partnerID=8YFLogxK
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U2 - 10.1109/TPWRS.2017.2788052
DO - 10.1109/TPWRS.2017.2788052
M3 - Article
AN - SCOPUS:85040037516
SN - 0885-8950
VL - 33
SP - 4531
EP - 4542
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 4
ER -