Disaggregating the Slack Bus: Using Distributed Slack Power Flow for Grid Optimization

Presenter's Name(s)

Eric Segerstrom

Conference Year

2024

Abstract

Power flow studies are ubiquitous in analyzing power systems. Traditionally, the largest generator in a system is designated as the slack bus to manage any mismatch between demand and supply. While this approach is representative of early grid operations, a distributed control scheme has been used since 1949 to assign a proportion of the total mismatch to every generator. Despite this, power flow studies are generally still formulated with a single slack bus. This work explores how the concept of distributed slack employed as a real-time control policy can be used to approximate the solution to optimal power flow problems.

Primary Faculty Mentor Name

Mads Almassalkhi

Status

Graduate

Student College

College of Engineering and Mathematical Sciences

Program/Major

Electrical Engineering

Primary Research Category

Engineering and Math Science

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Disaggregating the Slack Bus: Using Distributed Slack Power Flow for Grid Optimization

Power flow studies are ubiquitous in analyzing power systems. Traditionally, the largest generator in a system is designated as the slack bus to manage any mismatch between demand and supply. While this approach is representative of early grid operations, a distributed control scheme has been used since 1949 to assign a proportion of the total mismatch to every generator. Despite this, power flow studies are generally still formulated with a single slack bus. This work explores how the concept of distributed slack employed as a real-time control policy can be used to approximate the solution to optimal power flow problems.