TSO-DSO Operational Planning Coordination Through “$l_1-$Proximal” Surrogate Lagrangian Relaxation
TSO-DSO Operational Planning Coordination Through “$l_1-$Proximal” Surrogate Lagrangian Relaxation
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DOI：
10.1109/tpwrs.2021.3101220
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发表时间：
2021-01
影响因子：
6.6
通讯作者：
Mikhail A. Bragin;Y. Dvorkin
中科院分区：
文献类型：
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作者：
Mikhail A. Bragin;Y. Dvorkin
分布式能源（DER）的激增，位于配电系统运营商（DSO）的水平，带来了新的机遇，以及新的挑战，在电网内的操作，特别是当涉及到与传输系统运营商（TSO）的互动。为了实现互操作性，同时确保更高的灵活性和成本效益，需要有效地协调直销组织和技术支持组织。创建这样的TSO-DSO协调背后的困难包括在传输层面所涉及的操作规划问题的组合性质以及两个系统内的AC功率流的非线性。即使在确定性设置下，这些考虑也显著增加了复杂性。本文研究了确定性TSO-DSO作战计划协调问题，提出了一种新的分解协调方法。在新方法中，问题被分解为TSO和DSO子问题，这是有效地协调更新拉格朗日乘子。通过动态线性化解决了由交流潮流约束引起的TSO级的非线性，同时通过“$l_1-$proximal”项保证可行性。基于118节点TSO系统与多达32个DSO 34节点系统协调的数值结果表明，该方法有效地克服了该问题的计算困难。
The proliferation of distributed energy resources (DERs), located at the Distribution System Operator (DSO) level, bring new opportunities as well as new challenges to the operations within the grid, specifically, when it comes to the interaction with the Transmission System Operator (TSO). To enable interoperability, while ensuring higher flexibility and cost-efficiency, DSOs and the TSO need to be efficiently coordinated. Difficulties behind creating such TSO-DSO coordination include the combinatorial nature of the operational planning problem involved at the transmission level as well as the nonlinearity of AC power flow within both systems. These considerations significantly increase the complexity even under the deterministic setting. In this paper, a deterministic TSO-DSO operational planning coordination problem is considered and a novel decomposition and coordination approach is developed. Within the new method, the problem is decomposed into TSO and DSO subproblems, which are efficiently coordinated by updating Lagrangian multipliers. The nonlinearities at the TSO level caused by AC power flow constraints are resolved through a dynamic linearization while guaranteeing feasibility through “$l_1-$proximal” terms. Numerical results based on the coordination of the 118-bus TSO system with up to 32 DSO 34-bus systems indicate that the method efficiently overcomes the computational difficulties of the problem.