A modular approach to handle asynchronous heterogeneous measurements in distribution system state estimation

IF 5.6 2区工程技术 Q2 ENERGY & FUELS

Sustainable Energy Grids & Networks Pub Date : 2025-09-11 DOI:10.1016/j.segan.2025.101967

Himani Mattoo , Dnyaneshwar H. Patale , Krupa Ananda Reddy Medapati , J.G. Sreenath , Praveen Tripathy

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引用次数: 0

Abstract

State estimation in power systems is a fundamental task, and the state estimator has become an essential component in power system monitoring, even at the distribution level. Due to the limited number of measurement devices in the system, the available number of measurements is quite low. To address this issue and make real-time state estimation feasible and less complex at the distribution level, measurements from various types of sensors, such as micro-phasor measurement units (

μ

PMUs), remote terminal units (RTUs), and smart meters (SMs), need to be utilized. However, the measurements received from these different types of devices are asynchronous, meaning they are not synchronized to a central clock. In this paper, a modular two-level state estimation algorithm is proposed, which processes hybrid measurements from

μ

PMUs, RTUs, and SMs, taking into account the asynchronous nature of the measurements. Additionally, the developed algorithm considers the different refresh rates of these measurement devices when combining the measurements to evaluate the states of the system. The effectiveness of the algorithm is then verified using the IEEE 33-bus and 123-bus systems.

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一种模块化方法处理配电系统状态估计中的异步异构测量

状态估计是电力系统的一项基本任务，状态估计器已成为电力系统监测乃至配电系统监测的重要组成部分。由于系统中测量设备的数量有限，可用的测量数量相当低。为了解决这一问题，并使实时状态估计在配电层面可行且不那么复杂，需要利用各种类型的传感器，如微相量测量单元（μPMUs）、远程终端单元（rtu）和智能电表（SMs）。然而，从这些不同类型的设备接收到的测量值是异步的，这意味着它们不会与中心时钟同步。本文提出了一种模块化的两级状态估计算法，该算法可以处理来自μ pmu、rtu和SMs的混合测量，同时考虑到测量的异步特性。此外，所开发的算法在组合测量时考虑了这些测量设备的不同刷新率来评估系统的状态。然后用IEEE 33总线和123总线系统验证了算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology

CiteScore

7.90

自引率

13.00%

发文量

206

审稿时长

49 days

期刊介绍： Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.