This study is using alternating direction method of multipliers (ADMM) approach for solving the direct current dynamic optimal power flow with carbon emission trading (DC-DOPF-CET) problem. Theoretically, our method can effectively solve DC-DOPF problem with complex constraints (i.e., CET, DR), as long as these constraints are convex and separable. In this study, we focus on the impact of parameter rou and miu, the number of elements in the consensus variable, the number of subsystems and the scale of power systems on the convergence performance. In order to verify the performance of our proposed algorithms and the effective of improved,we apply them on a various of numerical case studies, and compare their key features and simulation resultswith the method in [6] and [7]. The numerical case studies include a 6-bus system, a 30-bus system, a RTS48-bussystem in [6], a 118-bus system in [7] and a 1062-bus system. The results show that the convergence performancelargely depends on the number of elements in the consensus variable rather than the number of subsystems orthe scale of power systems. An excellent subsystem partition strategy cound enhance the convergence performance, since it has less global variables.
[6] A. Kargarian, J. Mohammadi, J. Guo, S. Chakrabarti, M. Barati, G. Hug, S. Kar and R. Baldick, “Toward Distributed/Decentralized DC Optimal Power Flow Implementationin Future Electric Power Systems,” IEEE Trans. Smart Grid, 2016.
[7] Y. Wang, L. Wu and S. Wang, “A Fully-Decentralized Consensus-Based ADMM Approach for DC-OPF With Demand Response,” IEEE Trans. Smart Grid, vol. 8, no. 6, pp. 2637-2647, Nov. 2017.
SCUC_dat : The numerical case studies data. 计算数据
Picture : The figures and tables in this paper. 数据结果图表。
Every version of Cplex only support specific version of MATLAB. Otherwise, it may be cause some unknown problems. In my opinion, the code can run correctly with the latest Cplex version.
协同ADMM求解考虑碳排放约束直流潮流问题的对偶问题(Dual-Consensus-ADMM-for-DC-OPF-CET)
原文:https://www.cnblogs.com/landiljy/p/12191104.html