# Control of Transmission Lines

This problem was provided by Göttlich, Potschka, and Teuber [Goettlich2018]**Author: ** *G{\"o}ttlich, Simone; Potschka, Andreas; Teuber, Claus***Institution: ** *University of Mannheim***Note: ** *Optimization Online 6312***Title: ** *A partial outer convexification approach to control
transmission lines***Url: ** *http://www.optimization-online.org/DB_HTML/2017/11/6312.html***Year: ** *2018*

. It is governed by a 2x2-system of conservation laws based on the telegraph equations for single transmission lines, which are then connected to form a network. The objective is to minimize the quadratic deviation of the load delivered to customer nodes from their demand by continuously controlling the power inflow to the network at the energy producer nodes and by discrete but time-varying switches at the coupling nodes inside the network.

## Contents

## Mathematical formulation

The dynamics on the -th transmission line with spatial variable , temporal variable , and state variable containing the characteristic variables for right-traveling and left-traveling components are given by the hyperbolic PDE system

with a diagonal 2x2-matrix and a symmetric matrix . We combine all single line states to a large state vector to obtain the system

and formulate the coupling between the lines and the continuously controlled power inflow as boundary conditions involving distribution matrices , which depend on a discrete switching signal , and constant matrices of size according to

The continuous control is subject to simple bounds.

The objective is to track the given demands of consumers, which can be formulated as

where is the set of consumer nodes and is the set of all lines adjacent to vertex .

## Parameters

A detailed account of the network structures and parameter settings can be found in [Goettlich2018]**Author: ** *G{\"o}ttlich, Simone; Potschka, Andreas; Teuber, Claus***Institution: ** *University of Mannheim***Note: ** *Optimization Online 6312***Title: ** *A partial outer convexification approach to control
transmission lines***Url: ** *http://www.optimization-online.org/DB_HTML/2017/11/6312.html***Year: ** *2018*

and in the source code below.

## Discretization

The mixed-integer variables are transcribed via Partial Outer Convexification and the dynamics are discretized using Finite Volumes with upwind fluxes for the characteristic variables and explicit first-order time-stepping.

## Reference Solution

We consider an extended tree network with 2 producers, 5 consumers and real-world demand data. After partial outer convexification (POC) and discretization, Ipopt delivers an NLP solution with objective value 2.804 and the following relaxed POC multipliers:

Sum-Up Rounding with SOS1-constraint delivers the following integer feasible POC multipliers:

Reoptimization with fixed Sum-Up Rounding decisions delivers an objective value of 3.152 and the following controls:

The next figure compares the consumer demands (red) with the obtained power delivery (blue).

## Source Code

The C++ code for the results in the paper is not publicly available, but a more user-friendly Python/CasADi-Version (without dwell-time constraints) is available on GitHub/poc-transmission-lines.

## References

[Goettlich2018] | G{\"o}ttlich, Simone; Potschka, Andreas; Teuber, Claus (2018): A partial outer convexification approach to control transmission lines. University of Mannheim. |