Distribution System Restructuring: Distribution LMP via Unbalanced ACOPF
Distribution System Restructuring: Distribution LMP via Unbalanced ACOPF
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DOI：
10.1109/tsg.2016.2647692
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发表时间：
2018-09
影响因子：
9.6
通讯作者：
Yikui Liu;Jie Li;Lei Wu
中科院分区：
文献类型：
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作者：
Yikui Liu;Jie Li;Lei Wu
随着分布式能源和灵活需求资产的激增，新兴的配电系统预计将经历一个重组过程，就像输电系统中发生的那样。本文引入了配电位置边际电价（DLMP）作为一个有效的经济信号，以量化的边际成本提供下一个增量负荷在不同阶段的个别节点。DLMP是通过求解配电网不平衡交流最优潮流（ACOPF）问题来计算的，目标是最小化系统运行成本。实际上，为了得到有效的DLMP，需要获得具有零对偶间隙的非凸非平衡ACOPF问题的全局最优解。利用基于矩松弛的半定规划模型求解非平衡ACOPF问题。系统稀疏性的探索，以提高计算性能。此外，提出了一种分层的方法来恢复一个足够好的可行解到原来的ACOPF，当稀疏矩松弛的SDP模型是不精确的。通过对一个改进的IEEE 34节点系统的算例分析，验证了所提方法的有效性和正确性。基于DLMP的分销系统的收入充足性进行了分析。
The emerging distribution system with a proliferation of distributed energy resources and flexible demand assets is expected to experience a restructuring process, just as what has been happening in the transmission system. This paper introduces the distribution locational marginal price (DLMP) as an effectively economic signal to quantify marginal cost for supplying next incremental loads at different phases of individual nodes. DLMP is calculated by solving the unbalanced ac optimal power flow (ACOPF) problem of distribution systems, with the objective of minimizing system operation cost. Indeed, in order to derive effective DLMPs, global optimal solution to the non-convex unbalanced ACOPF problem with a zero duality gap needs to be obtained. This paper solves the unbalanced ACOPF problem via the moment relaxation-based semidefinite programming (SDP) model. System sparsity is explored to accelerate the computational performance. In addition, a hierarchical approach is proposed to recover a good enough feasible solution to the original ACOPF, when the sparse moment relaxation-based SDP model is inexact. Numerical case studies on a modified IEEE 34-bus system evaluate the effectiveness and validity of the proposed approach. DLMP-based revenue adequacy of the distribution system is also analyzed.