Enhancing Observability in Distribution Grids Using Smart Meter Data
Enhancing Observability in Distribution Grids Using Smart Meter Data
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DOI：
10.1109/tsg.2017.2699939
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发表时间：
2018-11-01
影响因子：
9.6
通讯作者：
Veeramachaneni, Sriharsha
中科院分区：
文献类型：
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作者：
Bhela, Siddharth;Kekatos, Vassilis;Veeramachaneni, Sriharsha
由于仪器有限，配电网目前面临着可观测性问题的挑战。另一方面，智能电表数据从具有可再生发电和弹性需求的节点传递给公用事业运营商。本文利用公交车上的电网数据来推断底层的电网状态。系统节点被划分为具有假定为计量的时变注入的母线，以及具有相对固定的常规负荷的非计量母线。利用计量节点的可变性和常规负荷的平稳性，提出了在连续时刻联合求解非线性潮流方程的新思想。通过提出PF问题(CPF)的耦合公式，可以通过测量较少的母线来恢复电网状态。一个直观且易于验证的关于物理电网上(非)计量母线位置的规则被证明是放射状网络局部可观测性的一个充分必要条件。为了解决智能电能表读数的噪声问题，进一步提出了一种耦合电力系统状态估计问题。CPF和CPSSE任务都是通过扩展的半定程序放松来处理的。该可观测性准则以及CPF和CPSSE解算器使用IEEE 34母线基准馈线上随机生成的实际太阳能和负荷数据进行了数值验证。
Due to limited instrumentation, distribution grids are currently challenged by observability issues. On the other hand, smart meter data are communicated to utility operators from nodes with renewable generation and elastic demand. This paper employs grid data from metered buses toward inferring the underlying grid state. System nodes are partitioned into buses with time-varying injections that are assumed metered, and buses with relatively stationary conventional loads that are non-metered. Exploiting the variability at metered buses and the stationarity of conventional loads, the novel idea here is to solve the non-linear power flow (PF) equations jointly over consecutive time instants. By putting forth a coupled formulation of the PF problem (CPF), grid states can be recovered by metering fewer buses. An intuitive and easily verifiable rule pertaining to the locations of (non-)metered buses on the physical grid is shown to be a necessary and sufficient criterion for local observability in radial networks. To account for noisy smart meter readings, a coupled power system state estimation (CPSSE) problem is further devised. Both CPF and CPSSE tasks are tackled via augmented semi-definite program relaxations. The observability criterion along with the CPF and CPSSE solvers are numerically corroborated using randomly generated and actual solar and load data on the IEEE 34-bus benchmark feeder.