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摘要
To adapt to the "Energy Internet", this paper proposes a low-carbon dynamic optimal gas-power flow model with carbon trading. However, the dynamic characteristics of gas flow are remarkably slower than those of power flow, the space-time partial differential equations are used to accurately describe the dynamic gas flow. In addition, this model introduces a carbon trading mechanism for fully exploiting economic and low-carbon benefits of the integrated electricity and natural gas energy system. In order to achieve the decentralized optimization of gas-power interconnection network and obtain a high-quality solution, two kinds of inner and outer-coordinated convex decentralized optimization methods, named as penalty convex-concave procedure (PCCP)-Benders and PCCP-alternating direction method of multipliers (ADMM), are proposed. In this framework, the outer layer based on a PCCP transforms the non-convex dynamic gas flow into a second-order cone programming and the inner layer solves each step of the outer PCCP iteration with Benders decomposition and ADMM. Finally, a calculation example tests the optimization performance of PCCP-Benders and PCCP-ADMM, while the operation effect with different carbon trading prices is investigated in detail, the validity of model and algorithm is verified by the results.
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