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Hierarchical coordination of TSO-DSO economic dispatch considering large-scale integration of distributed energy resources

机译:考虑大规模整合分布式能源的TSO-DSO经济调度的层次协调

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This paper proposes a hierarchical coordination mechanism for coordinating the economic dispatch of transmission system operator (TSO) and distribution system operator (DSO). The challenge of dispatching large-scale distributed energy resources (DERs) is addressed. The coordination problem of dispatching energy and reserve is formulated. Benders decomposition is the underlying mathematical foundation of the proposed hierarchical coordination mechanism. We define the generalized bid function to approximate the dispatch cost of distribution network by a series of affine functions. The generalized bid function is communicated from DSO to TSO. By using convex AC optimal power flow model, the convergence of hierarchical coordination is guaranteed. A grid computing structure in General Algebraic Modeling System (GAMS) to accelerate the computation is proposed. The generalized bid function is simulated for various test cases. We also demonstrate the effect of DERs on the voltage magnitude and phase angle. The numerical results show that the hierarchical coordination using the generalized bid function converges to very close results compared with the results of centralized dispatch. Hierarchical coordination is capable of managing various network congestion scenarios and power loads. The generalized bid function provides a unified format of communication between TSO and DSO. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文提出了一种用于协调输电系统运营商(TSO)和配电系统运营商(DSO)的经济调度的分层协调机制。解决了分配大规模分布式能源(DER)的挑战。提出了能源与储备调度的协调问题。 Benders分解是所提出的分层协调机制的基础数学基础。我们通过一系列仿射函数定义广义投标函数,以近似分配网络的调度成本。通用出价功能从DSO传递到TSO。通过使用凸交流最优潮流模型,保证了层次协调的收敛性。提出了通用代数建模系统(GAMS)中的网格计算结构,以加快计算速度。针对各种测试案例模拟了通用投标函数。我们还证明了DER对电压幅度和相角的影响。数值结果表明,与集中调度的结果相比,使用广义出价函数的分层协调收敛到非常接近的结果。分层协调能够管理各种网络拥塞情况和电源负载。通用出价功能提供了TSO和DSO之间的统一通信格式。 (C)2017 Elsevier Ltd.保留所有权利。

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