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Generalized Master–Slave-Splitting Method and Application to Transmission–Distribution Coordinated Energy Management

机译:广义主从分离方法及其在输配电协调能源管理中的应用

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Transmission-distribution coordinated energy management (TDCEM) is recognized as a promising solution to the challenge of high distributed energy resource (DER) penetration, but there is a lack of a distributed computation method that universally and effectively works for the TDCEM. To bridge this gap, this paper presents a generalized master-slave-splitting (G-MSS) method. This method is based on a general-purpose transmission-distribution coordination model called G-TDCM, which enables the G-MSS to be applicable to most of the central functions of the TDCEM. In this G-MSS method, a basic heterogeneous decomposition (HGD) algorithm is first derived from the heterogeneous decomposition of the coupling constraints in the optimality conditions of the G-TDCM. Its optimality and convergence properties are proved. Then, inspired by the sufficient conditions for convergence, a modified HGD algorithm that utilizes the subsystem's response function is developed and demonstrated to converge faster. The distributed G-MSS method is then demonstrated to successfully solve a series of central functions of the TDCEM, e.g., power flow, contingency analysis, voltage stability assessment, economic dispatch, and optimal power flow. The severe issues of over-voltage and erroneous assessment of the system security that are caused by DERs are thus resolved by the G-MSS method with modest computation cost.
机译:传输-分布式协调能源管理(TDCEM)被认为是解决高分布式能源(DER)渗透率挑战的有前途的解决方案,但是缺少一种可普遍有效地用于TDCEM的分布式计算方法。为了弥合这一差距,本文提出了一种通用的主从分裂(G-MSS)方法。此方法基于称为G-TDCM的通用传输分配协调模型,该模型使G-MSS可以应用于TDCEM的大多数核心功能。在这种G-MSS方法中,首先从G-TDCM最优条件下的耦合约束的异质分解中得出基本的异质分解(HGD)算法。证明了其最优性和收敛性。然后,受足够的收敛条件启发,开发了利用子系统响应功能的改进型HGD算法,并证明了收敛速度更快。然后证明了分布式G-MSS方法可以成功解决TDCEM的一系列核心功能,例如潮流,应变分析,电压稳定性评估,经济调度和最优潮流。因此,通过G-MSS方法可以解决由DER引起的过电压严重问题和对系统安全性的错误评估,并且计算成本较低。

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