A New Convex Relaxation based OPF for Mutually Coupled Unbalanced Active Distribution Network

Sanat Kumar Paul, A. Mohapatra, P. N. Yasasvi
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Abstract

Increasing penetration of Distributed Generations (DGs) in Distribution Networks (DNs) for improved network reliability and efficiency has been a subject of great interest. A typical DG can be dispatchable or non-dispatchable and is generally associated with uncertain generation output. Hence, a proper setting of dispatchable DG's real power generation and voltage magnitude is necessary for Optimal Power Flow (OPF) and maintaining various network constraints. Further, DNs are complex networks due to their inherent radial and unbalanced nature with a high R/X ratio. Thus, in this paper, a first OPF problem is demonstrated for a mutually coupled unbalanced active DN. The associated optimization problem is modeled using KCL and KVL equations via a new convex relaxation for optimal settings of the DGs. The effectiveness of the proposed model is investigated for two unbalanced radial distribution feeders - IEEE 34 bus and IEEE 123 bus systems. Further, the robustness of the obtained solution is verified for load fluctuations using Monte Carlo Simulations (MCS).
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一种新的基于凸松弛的互耦不平衡有源配电网OPF
为了提高网络的可靠性和效率,分布式代(dg)在配电网(DNs)中的应用越来越广泛,这是一个备受关注的问题。典型的DG可以是可调度的,也可以是不可调度的,并且通常与不确定的发电输出相关联。因此,合理设置可调度DG的实际发电量和电压幅值是实现最优潮流(OPF)和维持各种网络约束的必要条件。此外,DNs由于其固有的径向和不平衡性质以及高R/X比而成为复杂的网络。因此,本文证明了一个相互耦合的非平衡主动DN的第一OPF问题。利用KCL和KVL方程对相关的优化问题进行建模,通过新的凸松弛来实现dg的最优设置。针对两种不平衡径向分布馈线——IEEE 34总线和IEEE 123总线系统,研究了该模型的有效性。此外,利用蒙特卡罗模拟(MCS)验证了所得到的解对负载波动的鲁棒性。
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