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Distributed Distributionally Robust Dispatch for Integrated Transmission-Distribution Systems
IEEE Transactions on Power Systems ( IF 6.5 ) Pub Date : 2020-09-18 , DOI: 10.1109/tpwrs.2020.3024673
Peng Li , Qiuwei Wu , Ming Yang , Zhengshuo Li , Nikos Hatziargyriou

This paper proposes a new distributed dispatch scheme to realize efficient coordinated real-time dispatch of the coupled transmission grid and active distribution grids (ADGs). In the proposed scheme, on the one hand, the concept of optimal power exchange interval is introduced to coordinate the transmission grid and ADGs so that the reserve capacity support from ADGs can be incorporated in the dispatch optimization of the transmission grid. On the other hand, uncertainties of renewable distributions are considered to ensure the robustness of dispatch decisions. With the analytical target cascading (ATC) method, the centralized distributionally robust dispatch model for the integrated transmission-distribution system is decoupled, leading to a number of independent small local optimization problems for the transmission grid and ADGs. Meanwhile, the diagonal quadratic approximation is adopted to develop an iterative coordination strategy where all local optimization problems are solved in a parallel manner, increasing the computational efficiency. By using the constrained cost variable technique (CCV) and a new affine policy, the original non-convex dispatch model is reformulated as a linear optimization problem, which ensures the convergence of the iterative process and further reduces the computational burden. Case studies on three test systems verify the effectiveness and efficiency of the proposed scheme.

中文翻译:

集成式输配电系统的分布式分布式鲁棒调度

本文提出了一种新的分布式调度方案,以实现耦合的输电网和有源配电网(ADG)的高效协调实时调度。在提出的方案中,一方面,引入了最佳功率交换间隔的概念来协调输电网和ADG,以便将来自ADG的备用容量支持纳入输电网的调度优化中。另一方面,考虑可再生能源分配的不确定性以确保调度决策的鲁棒性。使用分析目标级联(ATC)方法,将用于集成输配电系统的集中式分布式鲁棒调度模型解耦,从而导致输电网格和ADG出现许多独立的小型局部优化问题。同时,采用对角线二次逼近来开发一种迭代协调策略,该策略以并行方式解决所有局部优化问题,从而提高了计算效率。通过使用约束成本变量技术(CCV)和新的仿射策略,将原始的非凸调度模型重新构造为线性优化问题,从而确保了迭代过程的收敛性并进一步减轻了计算负担。对三个测试系统的案例研究证明了该方案的有效性和效率。将原始的非凸调度模型重新构造为线性优化问题,从而确保了迭代过程的收敛性并进一步减轻了计算负担。对三个测试系统的案例研究证明了该方案的有效性和效率。将原始的非凸调度模型重新构造为线性优化问题,从而确保了迭代过程的收敛性并进一步减轻了计算负担。对三个测试系统的案例研究证明了该方案的有效性和效率。
更新日期:2020-09-18
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