Quantifying the performance of the Kim AC/DC Hybrid Power Flow Model
type: CreativeWork
description: The landscape of electric utilities is changing at an unprecedented rate. With the rise of nondispatchable renewable generation technologies utilities are in the process of aggressively modifying their control and modeling techniques to cope with increasingly shorter forecast horizons. This analysis examines one proposed modeling methodology, the Kim Hybrid Power Flow Model, looking to quantify its accuracy as compared to the two most common steady-state power flow modeling techniques. For the analysis, a 37-bus system was selected as the common modeling platform in order to facilitate like-for-like comparisons. With an emphasis on minimizing both the system topology and operating point’s impact on the comparison, numerous configurations were examined. For each condition, the system was modeled with each technique to allow for as objective a comparison as possible given the single system. A total of seven case studies were performed to isolate and examine the system’s sensitivity to certain physical parameters and operating conditions. These studies, combined with 24 selected hybrid topologies, were used to perform a comprehensive examination of the Hybrid model’s performance as it compares to the AC and DC models. This led to the assessment that the model was noticeably sensitive to the number of Boundary buses and the power flow across the boundary between the inner (AC region) and outer (DC region) areas. In order to make use of these observations, a number of Hybrid topology selection guidelines can be drawn: 1) Select regions such that the number of Boundary buses is minimized. This is achieved functionally by bisecting as few transmission lines as possible to isolate the regions of interest. 2) Select regions so as to minimize the power flow across the Boundary buses. This is more complicated in practice, especially if multiple inner and outer regions are being considered. The approach relies on selecting the topology such that the major loads and generation r…
abstract: The landscape of electric utilities is changing at an unprecedented rate. With the rise of nondispatchable renewable generation technologies utilities are in the process of aggressively modifying their control and modeling techniques to cope with increasingly shorter forecast horizons. This analysis examines one proposed modeling methodology, the Kim Hybrid Power Flow Model, looking to quantify its accuracy as compared to the two most common steady-state power flow modeling techniques. For the analysis, a 37-bus system was selected as the common modeling platform in order to facilitate like-for-like comparisons. With an emphasis on minimizing both the system topology and operating point’s impact on the comparison, numerous configurations were examined. For each condition, the system was modeled with each technique to allow for as objective a comparison as possible given the single system. A total of seven case studies were performed to isolate and examine the system’s sensitivity to certain physical parameters and operating conditions. These studies, combined with 24 selected hybrid topologies, were used to perform a comprehensive examination of the Hybrid model’s performance as it compares to the AC and DC models. This led to the assessment that the model was noticeably sensitive to the number of Boundary buses and the power flow across the boundary between the inner (AC region) and outer (DC region) areas. In order to make use of these observations, a number of Hybrid topology selection guidelines can be drawn: 1) Select regions such that the number of Boundary buses is minimized. This is achieved functionally by bisecting as few transmission lines as possible to isolate the regions of interest. 2) Select regions so as to minimize the power flow across the Boundary buses. This is more complicated in practice, especially if multiple inner and outer regions are being considered. The approach relies on selecting the topology such that the major loads and generation r…
author: Foster, Peter
language: en
keywords: Power Flow Model, Newton Method, DC Power Flow Model
date published: 2013-02-03T19:29:18Z
date modified: 2026-07-22T22:25:33Z
provider: University of Illinois - Urbana-Champaign
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Illinois at Urbana-Champaign

PropertyValue
property ID: Handle
value: http://hdl.handle.net/2142/42254