Decentralized Distributed Convex Optimal Power Flow Model for Power Distribution System Based on Alternating Direction Method of Multipliers
Decentralized Distributed Convex Optimal Power Flow Model for Power Distribution System Based on Alternating Direction Method of Multipliers
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DOI：
10.1109/tia.2022.3217023
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发表时间：
2023-01
影响因子：
4.4
通讯作者：
B. Biswas;Md Shamim Hasan;S. Kamalasadan
中科院分区：
文献类型：
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作者：
B. Biswas;Md Shamim Hasan;S. Kamalasadan
提出了一种基于半定规划(SDP)和乘子交替方向法(SDP D-ADMM)的基于逆变器的分布式分布式能源(DER)综合配电网的完全分散分布凸最优潮流模型。该方法基于自调谐加速分布式ADMM体系结构中的配电网SDP松弛支路流模型。该方法通过交换最小网络信息，将电网划分为代表各个区域的子问题。在所提出的模型中，还免除了对中央处理器的要求，从而使所提出的方法对网络攻击具有更强的鲁棒性。通过实现具有不同DER渗透率的改进型IEEE 123和IEEE 8500节点系统，验证了该方法的有效性和可扩展性。实验结果表明，该结构在精确度、全局最优性、可扩展性和计算时间等方面均优于其他分布式优化方案。
This paper proposes a fully decentralized distributed convex optimal power flow model for inverter-based distributed energy resources (DERs) integrated electric distribution networks based on Semi-Definite Programming (SDP) and alternating direction method of multipliers (ADMM) namely (SDP D-ADMM). The proposed approach is based on the SDP relaxed branch flow model of distribution networks within an auto-tuned accelerated decentralized ADMM architecture. The approach is based on dividing the power grid network into subproblems representing individual areas by interchanging minimum network information. In the proposed model the requirement of a central processor is also waived thus making the proposed approach more robust toward cyber-attacks. The effectiveness and scalability of the proposed method are validated by implementing modified IEEE 123 and IEEE 8500 bus systems with different levels of DER penetration. It has been observed that the proposed architecture outperforms other distributed optimization variants in terms of accuracy, global optimality, scalability, and computational time.