Decentralized Optimization of Multiarea Interconnected Traffic-Power Systems With Wind Power Uncertainty
IEEE Transactions on Industrial Informatics(2023)
摘要
The high proliferation of electric vehicles has intensified the interdependency between traffic networks (TNs) and power distribution networks (PDNs). Accordingly, this article proposes a decentralized optimization framework for the multiarea optimal traffic-power flow (OTPF) problem, in which the models of PDNs and TNs are established separately in a distributed manner. A multistage distributionally robust optimization (MDRO) model is formulated for PDNs to address wind power uncertainty, with the introduction of a traffic assignment problem to describe the distribution of traffic flows in TNs. Furthermore, an improved alternative direction method of multipliers (I-ADMM) algorithm is developed to solve the multiarea OTPF problem. Numerical results from a three-area traffic-power coupled system demonstrate that the proposed MDRO model bears a cost $89.50 lower than that of the multistage robust optimization model, while the I-ADMM algorithm yields a solving time only one-third that of the traditional ADMM.
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关键词
Decentralized optimization,improved alternative direction method of multipliers (I-ADMM),multiarea system,multistage distributionally robust optimization (MDRO),optimal traffic-power flow (OTPF)
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